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National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

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Page 1: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

National Transportation Statistics 2002 presentsstatistics on the U.S. transportation system, including itsphysical components, safety record, economic performance,the human and natural environment, and national security.

Natio

nal Tran

spo

rtation

Statistics 2002

National Transportation Statistics

2002

Bureau ofTransportation

Statistics

U.S. Department of Transportation

Page 2: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

National Transportation Statistics

2002

Bureau ofTransportation

Statistics

BTS02-08 U.S. Department of Transportation

Page 3: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Our mission: To lead in developing transportation data and informa-tion of high quality and to advance their effective use in both public and private transportation decisionmaking.

Our vision for the future: Data and information of high quality sup-porting every significant transportation policy decision, thus advancing the quality of life and the economic well-being of all Americans.

All material contained in this report is in the public domain and may be used and reprinted without special permission; source citation is required.

Recommended citationU.S. Department of TransportationBureau of Transportation StatisticsNational Transportation Statistics 2002BTS02-08Washington, DC, U.S. Government Printing Office, December 2002

Copies of this report and other BTS products may obtained via the following contacts:

Product OrdersBureau of Transportation StatisticsU.S. Department of Transportation400 7th St., SW, K-15Washington, DC 20590

Internet: www.bts.govPhone: 202-366-DATAFax: 202-366-3197

Information [email protected]

Page 4: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

U.S. Department ofTransportation

Norman Y. MinetaSecretary

Michael P. JacksonDeputy Secretary

Bureau of TransportationStatistics

Rick KowalewskiActing Director

John V. WellsChief Economist

William ChangAssociate Director forInformation Systems

Wendell FletcherAssistant Director for Transportation Analysis

AcknowledgmentsProject ManagerLong X. Nguyen

EditorChip Moore

Desktop Publishing SpecialistDorinda Edmondson

Data CollectionBattelle:Brian CarpenterMatthew GiffordDeepak GopalakrishnaArthur GreenbergLeonard HughesDavid KallChristina LuersmanWilliam MallettKenneth MathewsLaurie Scovell

ContributorsFelix Ammah-TagoeDuanjie ChenDavid ChesserKay DruckerBingsong FangXiaoli HanElijah HenleyMarcus MathiasGetachew MekonnenLisa RandallDeepak Virmani

Page 5: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 6: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

v

Introduction

Compiled and published by the Bureau of Transportation Statistics (BTS), U.S. Department of Transportation, National Transportation Statistics 2002 presents

information on the U.S. transportation system1, including its physical components, safety record, economic performance, energy use, and environmental impact. National Transportation Statistics 2002 is a companion document to the Transpor-tation Statistics Annual Report, which analyzes the data presented here.

The report has four chapters:• Chapter 1 provides data on the extent, condition, use, and performance of the

physical transportation network.• Chapter 2 details transportation’s safety record, giving data on accidents,

crashes, fatalities, and injuries for each mode and hazardous materials.• Chapter 3 focuses on the relationship between transportation and the economy,

presenting data on transportation’s contribution to the gross domestic product, employment by industry and occupation, and transportation-related consumer and government expenditures.

• Chapter 4 presents data on transportation energy use and transportation-related environmental impacts.

Appendix A profiles each mode,1 and appendix B contains metric conversions of select tables.

In addition, as part of BTS's ongoing effort to identify and assess the extent of data errors, appendix C includes brief discussions of the quality of the data pre-sented in many of the tables. BTS obtained the data in this report from many sources, including federal government agencies, private industry, and associations. Some of the data are based on samples and are subject to sampling variability. Data from all sources may be subject to omissions and errors in reporting, recording, and processing. Documents cited as sources for the tables often provide detailed infor-mation about definitions, methodologies, and statistical reliability.

Generally, data are presented in five-year increments through 1995 and annu-ally thereafter. The web version of the report provides a more comprehensive inven-tory of the available data than presented here.

1 The U.S. transportation system comprises six modes: air, highway, transit, rail, water, and pipelines.

Page 7: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
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Table of Contents � vii

Table of ContentsINTRODUCTION vTable A Social and Economic Characteristics of the United States . . . . . . . . . . . . . . . . . . . . . . . . . xv

Chapter 1. The Transportation SystemTable SECTION A. PHYSICAL EXTENT Page1-1 System Mileage Within the United States (Statute miles) . . . . . . . . . . . . . . . . . . . . . . . . . . . 31-2 Number of Air Carriers, Railroads, Interstate Motor Carriers, Marine Vessel Operators,

and Pipeline Operators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41-3 Number of U.S. Airports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61-4 Public Road and Street Mileage in the United States by Type of Surface

(Thousands of miles) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71-5 U.S. Public Road and Street Mileage by Functional System . . . . . . . . . . . . . . . . . . . . . . . . 81-6 Estimated U.S. Roadway Lane-Miles by Functional System . . . . . . . . . . . . . . . . . . . . . . . . 91-7 Number of Stations Served by Amtrak and Rail Transit, Fiscal Year . . . . . . . . . . . . . . . . 101-8 ADA Lift- or Ramp-Equipped Transit Buses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111-9 ADA Accessible Rail Transit Stations by Agency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121-10 U.S. Oil and Gas Pipeline Mileage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

SECTION B. VEHICLE, AIRCRAFT, AND VESSEL INVENTORY1-11 Number of U.S. Aircraft, Vehicles, Vessels, and Other Conveyances . . . . . . . . . . . . . . . . . 171-12 Sales or Deliveries of New Aircraft, Vehicles, Vessels, and Other Conveyances . . . . . . . . 201-13 Active Air Carrier and General Aviation Fleet by Type of Aircraft . . . . . . . . . . . . . . . . . . 221-14 U.S. Automobile and Truck Fleets by Use (Thousands) . . . . . . . . . . . . . . . . . . . . . . . . . . 251-15 Annual U.S. Motor Vehicle Production and Factory (Wholesale) Sales (Thousands) . . . . . 261-16 Retail New Passenger Car Sales (Thousands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271-17 New and Used Passenger Car Sales and Leases (Thousands) . . . . . . . . . . . . . . . . . . . . . . . 281-18 Retail Sales of New Cars by Sector (Thousands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291-19 Period Sales, Market Shares, and Sales-Weighted Fuel Economies of New Domestic

and Imported Automobiles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301-20 Period Sales, Market Shares, and Sales-Weighted Fuel Economies of New Domestic

and Imported Light Trucks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311-21 Number of Trucks by Weight . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321-22 World Motor Vehicle Production, Selected Countries (Thousands) . . . . . . . . . . . . . . . . . 331-23 Number and Size of the U.S. Flag Merchant Fleet and Its Share of the World Fleet

(Oceangoing ships of 1,000 gross tons and over) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36

SECTION C. CONDITION1-24 U.S. Airport Runway Pavement Conditions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391-25 Median Age of Automobiles and Trucks in Operation in the United States . . . . . . . . . . . . 401-26 Condition of U.S. Roadways by Functional System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411-27 Condition of U.S. Highway Bridges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451-28 Average Age of Urban Transit Vehicles (Years) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461-29 Class I Railroad Locomotive Fleet by Year Built (Locomotive units) . . . . . . . . . . . . . . . . 471-30 Age and Availability of Amtrak Locomotive and Car Fleets . . . . . . . . . . . . . . . . . . . . . . . 481-31 U.S. Flag Vessels by Type and Age (Number of vessels) . . . . . . . . . . . . . . . . . . . . . . . . . . 49

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viii � Table of Contents

SECTION D. TRAVEL AND GOODS MOVEMENT1-32 U.S. Vehicle-Miles (Millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 531-33 Roadway Vehicle-Miles Traveled (VMT) and VMT per Lane-Mile by Functional Class . . . 561-34 U.S. Passenger-Miles (Millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 571-35 Principal Means of Transportation to Work (Thousands) . . . . . . . . . . . . . . . . . . . . . . . . 601-36 Long-Distance Travel in the United States by Selected Trip Characteristics: 1995

(Roundtrips of 100 miles or more, one way, U.S. destinations only) . . . . . . . . . . . . . . . . . 611-37 Long-Distance Travel in the United States by Selected Traveler Characteristics: 1995

(Roundtrips of 100 miles or more, one way, U.S. destinations only) . . . . . . . . . . . . . . . . . 641-38 U.S. Air Carrier Aircraft Departures, Enplaned Revenue Passengers, and

Enplaned Revenue Tons . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671-39 Passengers Boarded at the Top 50 U.S. Airports . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 691-40 Air Passenger Travel Arrivals in the United States from Selected

Foreign Countries (Thousands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 711-41 Air Passenger Travel Departures from the United States to Selected

Foreign Countries (Thousands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 731-42 U.S.-Canadian Border Land-Passenger Gateways: Entering the United States, 2000-2001 . . . . 751-43 U.S.-Mexican Border Land-Passenger Gateways: Entering the United States, 2000-2001 . . . . . 761-44 U.S. Ton-Miles of Freight (Millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 771-45 Average Length of Haul, Domestic Freight and Passenger Modes (Miles) . . . . . . . . . . . . . 781-46 Top U.S. Foreign Trade Freight Gateways by Value of Shipments (Current $ billions) . . . 791-47 U.S.-Canadian Border Land-Freight Gateways: Number of Truck or

Railcar Crossings, 2000-2001 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 811-48 U.S.-Mexican Border Land-Freight Gateways: Number of Truck or

Railcar Crossings, 2000-2001 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 821-49 U.S. Waterborne Freight (Million short tons) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 831-50 Tonnage of Top 50 U.S. Water Ports, Ranked by Total Tons . . . . . . . . . . . . . . . . . . . . . . 841-51 Growth of Freight Activity in the United States: Comparison of the

1993 and 1997 Commodity Flow Surveys . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 861-52 Value, Tons, and Ton-Miles of Freight Shipments within the United States by

Domestic Establishments, 1997 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 871-53 Value of U.S. Land Exports to and Imports from Canada and

Mexico by Mode ($ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 891-54 Crude Oil and Petroleum Products Transported in the United States by Mode . . . . . . . . . 911-55 U.S. Hazardous Materials Shipments by Transportation Mode, 1997 . . . . . . . . . . . . . . . 921-56 U.S. Hazardous Materials Shipments by Hazard Class, 1997 . . . . . . . . . . . . . . . . . . . . . . 931-57 Worldwide Commercial Space Launches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94

SECTION E. PHYSICAL PERFORMANCE1-58 Passengers Denied Boarding by the Largest U.S. Air Carriers (Thousands) . . . . . . . . . . . . 991-59 Mishandled-Baggage Reports Filed by Passengers with the Largest U.S. Air Carriers . . . 1001-60 Flight Operations Arriving On Time by the Largest U.S. Air Carriers (Percent) . . . . . . . 1011-61 FAA-Cited Causes of Departure and En Route Delays (After pushing back from the gate) . . 1021-62 Major U.S. Air Carrier Delays, Cancellations, and Diversions . . . . . . . . . . . . . . . . . . . . 1031-63 Annual Person-Hours of Highway Traffic Delay Per Person . . . . . . . . . . . . . . . . . . . . . . 1041-64 Roadway Congestion Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1071-65 Annual Highway Congestion Cost . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1101-66 Amtrak On-Time Performance Trends and Hours of Delay by Cause . . . . . . . . . . . . . . 113

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Table of Contents � ix

Chapter 2. Transportation SafetySECTION A. MULTIMODAL

2-1 Transportation Fatalities by Mode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1172-2 Injured Persons by Transportation Mode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1202-3 Transportation Accidents by Mode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1232-4 Distribution of Transportation Fatalities by Mode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1262-5 Highway-Rail Grade-Crossing Safety and Property Damage Data . . . . . . . . . . . . . . . . . 1282-6 Hazardous Materials Fatalities, Injuries, Accidents, and Property Damage Data . . . . . . 1292-7 Transportation-Related Occupational Fatalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1312-8 Reporting Thresholds for Property Damage by U.S. Department of

Transportation Modal Administrations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132

SECTION B. AIR2-9 U.S. Air Carrier Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1352-10 U.S. Commuter Air Carrier Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1372-11 U.S. Air Carrier Fatal Accidents by First Phase of Operation . . . . . . . . . . . . . . . . . . . . . 1382-12 U.S. Commuter Air Carrier Fatal Accidents by First Phase of Operation . . . . . . . . . . . . 1392-13 U.S. On-Demand Air Taxi Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1402-14 U.S. General Aviation Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1412-15 Number of Pilot-Reported Near Midair Collisions (NMAC) by Degree of Hazard . . . . . 1422-16 Airline Passenger Screening Results by Type of Weapons Detected, Persons Arrested,

and Bomb Threats Received . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143

SECTION C. HIGHWAY2-17 Motor Vehicle Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1472-18 Motor Vehicle Fatalities, Vehicle-Miles, and Associated Rates by

Highway Functional System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1482-19 Occupant Fatalities by Vehicle Type and Nonoccupant Fatalities . . . . . . . . . . . . . . . . . . 1492-20 Occupant and Nonmotorist Fatalities in Crashes by Number of Vehicles and

Alcohol Involvement (AI) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1502-21 Passenger Car Occupant Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1512-22 Motorcycle Rider Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1522-23 Truck Occupant Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1532-24 Bus Occupant Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1552-25 Fatalities by Highest Blood Alcohol Concentration (BAC) in Highway Crashes . . . . . . . 1562-26 Number of States with Different Types of Anti-DUI / DWI Legislation in Effect

as of January 1 of the Listed Year . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1572-27 Motor Vehicle Fatal Crashes by Day of Week, Time of Day, and Weather

and Light Conditions (Percent) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1582-28 Motor Vehicle Fatal Crashes by Posted Speed Limit . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1592-29 Safety Belt and Motorcycle Helmet Use (percent) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1602-30 Estimated Number of Lives Saved by Use of Restraints . . . . . . . . . . . . . . . . . . . . . . . . . 161

SECTION D. TRANSIT2-31 Transit Safety and Property Damage Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1652-32 Transit Safety Data by Mode for All Reported Accidents . . . . . . . . . . . . . . . . . . . . . . . . 1662-33 Transit Safety Data by Mode for All Reported Incidents . . . . . . . . . . . . . . . . . . . . . . . . 1682-34 Reports of Violent Crime, Property Crime, and Arrests by Transit Mode . . . . . . . . . . . . 170

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SECTION E. RAILROAD2-35 Railroad and Grade-Crossing Fatalities by Victim Class . . . . . . . . . . . . . . . . . . . . . . . . . 1772-36 Railroad and Grade-Crossing Injured Persons by Victim Class . . . . . . . . . . . . . . . . . . . . 1782-37 Train Fatalities, Injuries, and Accidents by Type of Accident . . . . . . . . . . . . . . . . . . . . . 1792-38 Railroad Passenger Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1802-39 Railroad System Safety and Property Damage Data (Excludes highway-rail

grade-crossing accidents) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1812-40 Fatalities and Injuries of On-Duty Railroad Employees . . . . . . . . . . . . . . . . . . . . . . . . . 182

SECTION F. WATER2-41 Waterborne Transportation Safety and Property Damage Data Related to

Vessel Casualties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1872-42 Waterborne Transportation Safety Data Not Related to Vessel Casualties . . . . . . . . . . . 1882-43 Recreational Boating Safety, Alcohol Involvement, and Property Damage Data . . . . . . . 1892-44 Personal Watercraft Safety Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1902-45 U.S. Coast Guard Search and Rescue Statistics, Fiscal Year . . . . . . . . . . . . . . . . . . . . . . 191

SECTION G. PIPELINE2-46 Hazardous Liquid and Natural Gas Pipeline Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195

Chapter 3. Transportation and the EconomySECTION A. TRANSPORTATION AND THE TOTAL ECONOMY

3-1a U.S. Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services (Current $ billions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199

3-1b U.S. Gross Domestic Product (GDP) Attributed to For-Hire Transportation Services (Chained 1996 $ billions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200

3-2a U.S. Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand (Current $ billions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201

3-2b U.S. Gross Domestic Product (GDP) Attributed to Transportation-Related Final Demand (Chained 1996 $ billions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203

3-3a U.S. Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand (Current $ billions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205

3-3b U.S. Gross Domestic Demand (GDD) Attributed to Transportation-Related Final Demand (Chained 1996 $ billions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206

3-4a Contributions to Gross Domestic Product (GDP): Selected Industries (Current $ billions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207

3-4b Contributions to Gross Domestic Product (GDP): Selected Industries (Chained 1996 $ billions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208

3-5 Gross Domestic Product (GDP) by Major Social Function (Current $ billions) . . . . . . . . 2093-6 National Transportation and Economic Trends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210

SECTION B. TRANSPORTATION AND CONSUMER EXPENDITURES3-7 Passenger and Freight Transportation Expenditures (Current $ millions) . . . . . . . . . . . . 2133-8 Sales Price of Transportation Fuel to End-Users (Current ¢/gallon) . . . . . . . . . . . . . . . . 2143-9 Price Trends of Gasoline v. Other Consumer Goods and Services . . . . . . . . . . . . . . . . . . 2153-10 Producer Price Indices for Transportation Services (Base date = 100) . . . . . . . . . . . . . . . 216

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Table of Contents � xi

3-11 Producer Price Indices for Transportation Equipment (Base date = 100) . . . . . . . . . . . . . 2173-12 Personal Expenditures by Category (Current $ millions) . . . . . . . . . . . . . . . . . . . . . . . . 2183-13 Personal Consumption Expenditures on Transportation by Subcategory

(Current $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2193-14 Average Cost of Owning and Operating an Automobile (Assuming 15,000

Vehicle-Miles per Year) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2203-15a Average Passenger Fares (Current $) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2213-15b Average Passenger Fares (Chained 1996 $) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222

SECTION C. TRANSPORTATION REVENUES, EMPOLYMENT, AND PRODUCTIVITY3-16 Average Passenger Revenue per Passenger-Mile (Current ¢) . . . . . . . . . . . . . . . . . . . . . . 2253-17 Average Freight Revenue Per Ton-mile (Current ¢) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2263-18 Total Operating Revenues (Current $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2273-19 Employment in For-Hire Transportation and Selected Transportation-Related

Industries (Thousands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2293-20 Employment in Transportation Occupations (Thousands) . . . . . . . . . . . . . . . . . . . . . . . 2323-21 Average Wage and Salary Accruals per Full-Time Equivalent Employee by

Transportation Industry (Current $) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2343-22 Median Weekly Earnings of Full-Time Wage and Salary Workers in Transportation

by Detailed Occupation (Current $) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2353-23 Total Wage and Salary Accruals by Transportation Industry (Current $ millions) . . . . . 2363-24 Labor Productivity Indices for Selected Transportation Industries . . . . . . . . . . . . . . . . . 237

SECTION D. GOVERNMENT FINANCE3-25a Federal, State, and Local Government Transportation-Related Revenues and

Expenditures, Fiscal Year (Current $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2413-25b Federal, State, and Local Government Transportation-Related Revenues and

Expenditures, Fiscal Year (Chained 1996 $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . 2423-26 Summary of Transportation Revenues and Expenditures from Own Funds and

User Coverage, Fiscal Year (Current and chained 1996 $ millions) . . . . . . . . . . . . . . . . 2433-27a Transportation Revenues by Mode and Level of Government, Fiscal Year

(Current $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2443-27b Transportation Revenues by Mode and Level of Government, Fiscal Year

(Chained 1996 $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2453-28 Cash Balances of the Transportation-Related Federal Trust Funds, Fiscal Year

($ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2463-29a Transportation Expenditures by Mode and Level of Government from Own Funds,

Fiscal Year (Current $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2473-29b Transportation Expenditures by Mode and Level of Government from Own Funds,

Fiscal Year (Chained 1996 $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2483-30a Federal Transportation Grants to State and Local Governments by Mode,

Fiscal Year (Current $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2493-30b Federal Transportation Grants to State and Local Governments by Mode,

Fiscal Year (Chained 1996 $ millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250

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xii � Table of Contents

Chapter 4. Transportation, Energy, and the EnvironmentSECTION A. U.S. AND TRANSPORTATION SECTION ENERGY CONSUMPTION

4-1 Overview of U.S. Petroleum Production, Imports, Exports, and Consumption (Million barrels per day) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253

4-2 U.S. Consumption of Energy from Primary Sources by Sector (Quadrillion Btu) . . . . . . 2544-3 Domestic Demand for Refined Petroleum Products by Sector (Quadrillion Btu) . . . . . . . 255

SECTION B. TRANSPORTATION ENERGY CONSUMPTION BY MODE4-4 U.S. Energy Consumption by the Transportation Sector (Quadrillion Btu) . . . . . . . . . . . 2594-5 Fuel Consumption by Mode of Transportation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2614-6 Energy Consumption by Mode of Transportation (Trillion Btu) . . . . . . . . . . . . . . . . . . . 2634-7 Domestic Demand for Gasoline (Million gallons) by Mode . . . . . . . . . . . . . . . . . . . . . . 2654-8 Certificated Air Carrier Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . 2664-9 Motor Vehicle Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2674-10 Estimated Consumption of Alternative and Replacement Fuels for Highway Vehicles

(Thousand gasoline-equivalent gallons) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2684-11 Passenger Car and Motorcycle Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . 2694-12 Other 2-Axle 4-Tire Vehicle Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . 2704-13 Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel . . . . . . . . . . . . 2714-14 Combination Truck Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2724-15 Bus Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2734-16 Transit Industry Electric Power and Primary Energy Consumption and Travel . . . . . . . 2744-17 Class I Rail Freight Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2754-18 Amtrak Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2764-19 U.S. Government Energy Consumption by Agency and Source (Trillion Btu) . . . . . . . . . 277

SECTION C. TRANSPORTATION ENERGY INTENSITY AND FUEL EFFICIENCY4-20 Energy Intensity of Passenger Modes (Btu per passenger-mile) . . . . . . . . . . . . . . . . . . . . 2814-21 Energy Intensity of Certificated Air Carriers, All Services . . . . . . . . . . . . . . . . . . . . . . . . 2824-22 Energy Intensity of Passenger Cars, Other 2-Axle 4-Tire Vehicles, and Motorcycles . . . 2844-23 Average Fuel Efficiency of U.S. Passenger Cars and Light Trucks . . . . . . . . . . . . . . . . . . 2864-24 Energy Intensity of Transit Motor Buses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2874-25 Energy Intensity of Class I Railroad Freight Service . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2884-26 Energy Intensity of Amtrak Services . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2894-27 Annual Wasted Fuel Due to Congestion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2904-28 Wasted Fuel Per Person . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293

SECTION D. AIR POLLUTION4-29 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline-

and Diesel-Powered Light-Duty Vehicles, (Grams per mile) . . . . . . . . . . . . . . . . . . . . . . 2994-30a Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline-

and Diesel-Powered Light-Duty Trucks (Category LDT1), (Grams per mile) . . . . . . . . . 3014-30b Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline-

and Diesel-Powered Light-Duty Trucks (Category LDT1), (Grams per mile) . . . . . . . . . 3034-30c Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline-

and Diesel-Powered Light-Duty Trucks (Category LDT1), (Grams per mile) . . . . . . . . . 305

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Table of Contents � xiii

4-30d Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light-Duty Trucks (Category LDT1), (Grams per mile) . . . . . . . . . 307

4-31 Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Medium-Duty Passenger Vehicles (MDPV), (Grams per mile) . . . . . 309

4-32a Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Light Heavy-Duty Trucks (Grams per brake horsepower-hour) . . . 311

4-32b Federal Exhaust Emissions Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Heavy-Duty Trucks (Grams per brake horsepower-hour) . . . . . . . . 314

4-33 Federal Exhaust Emissions Standards for Newly Manufactured Motorcycles (g/km) . . . 3164-34 Federal Exhaust Emissions Standards for Newly Manufactured and In-Use

Aircraft Engines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3174-35 Federal Exhaust Emissions Standards for Locomotives (g/bhph except where noted) . . . 3194-36 Federal Exhaust Emissions Standards for Newly Manufactured Marine Spark-Ignition

Outboard, Personal Watercraft, and Jet-Boat Engines (g/kWh) . . . . . . . . . . . . . . . . . . . 3204-37 Tier 2 Federal Exhaust Emissions Standards for Newly Manufactured Commercial

Marine Compression-Ignition Engines, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3214-38 Estimated National Average Vehicle Emissions Rates by Vehicle Type and Fuel

(Grams per mile) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3224-39 Estimated National Average Vehicle Emissions Rates by Vehicle Type Using

Reformulated Gasoline (Grams per mile) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3244-40 Estimated National Emissions of Carbon Monoxide (Million short tons) . . . . . . . . . . . . 3264-41 Estimated National Emissions of Nitrogen Oxides (Million short tons) . . . . . . . . . . . . . 3274-42 Estimated National Emissions of Volatile Organic Compounds (Million short tons) . . . 3284-43 Estimated National Emissions of Particulate Matter (PM-10) (Million short tons) . . . . . 3294-44 Estimated National Emissions of Particulate Matter (PM-2.5) (Million short tons) . . . . 3304-45 Estimated National Emissions of Sulfur Dioxide (Million short tons) . . . . . . . . . . . . . . . 3314-46 Estimated National Emissions of Lead (Thousand short tons) . . . . . . . . . . . . . . . . . . . . 3324-47 Air Pollution Trends in Selected Metropolitan Statistical Areas (Number of days with

AQI values greater than 100 at trend sites and all monitoring sites) . . . . . . . . . . . . . . . . 3334-48 Areas in Nonattainment of National Ambient Air Quality Standards for

Criteria Pollutants (Condensed nonattainment area list as of September 2001) . . . . . . . 3374-49 U.S. Carbon Dioxide Emissions from Energy Use by Sector (Million metric tons of carbon) . 341

SECTION E. WATER POLLUTION, NOISE, AND SOLID WASTE4-50 Petroleum Oil Spills Impacting Navigable U.S. Waterways . . . . . . . . . . . . . . . . . . . . . . . 3454-51 Leaking Underground Storage Tank Releases and Cleanups . . . . . . . . . . . . . . . . . . . . . . 3464-52 Highway Noise Barrier Construction (Miles) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3474-53 Number of People Residing in High Noise Areas Around U.S. Airports,

(Within 65 dB DNL noise-level contours) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3484-54 Motor Vehicles Scrapped (Thousands) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349

Appendix A. Modal Profiles Air Carrier Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353General Aviation Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359Highway Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362Automobile Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366

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xiv � Table of Contents

Truck Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369Bus Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373Transit Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 376Rail Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382Water Transport Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385Oil Pipeline Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389Natural Gas Pipeline Profile . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391

Appendix B. Metric Conversion Tables1-1M System Kilometers Within the United States (Statute kilometers) . . . . . . . . . . . . . . . . . . 3951-6M Estimated U.S. Roadway Lane-Kilometers by Functional System . . . . . . . . . . . . . . . . . . 3961-32M U.S. Vehicle-Kilometers (Millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3971-33M Roadway Vehicle-Kilometers Traveled (VKT) and VKT per Lane-Kilometer by

Functional Class . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4001-34M U.S. Passenger-Kilometers (Millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4011-44M U.S. Tonne-Kilometers of Freight (Millions) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4031-45M Average Length of Haul, Domestic Freight and Passenger Modes (Kilometers) . . . . . . . 4041-49M U.S. Waterborne Freight (Million metric tonnes) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4051-54M Crude Oil and Petroleum Products Transported in the United States by Mode . . . . . . . . 4064-3M Domestic Demand for Refined Petroleum Products by Sector (Petajoules) . . . . . . . . . . . 4074-5M Fuel Consumption by Mode of Transportation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4084-6M Energy Consumption by Mode of Transportation (Petajoules) . . . . . . . . . . . . . . . . . . . . 4104-7M Domestic Demand for Gasoline (Million liters) by Mode . . . . . . . . . . . . . . . . . . . . . . . . 4124-8M Certificated Air Carrier Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . 4134-9M Motor Vehicle Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4144-11M Passenger Car and Motorcycle Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . 4154-13M Single-Unit 2-Axle 6-Tire or More Truck Fuel Consumption and Travel . . . . . . . . . . . . 4164-14M Combination Truck Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4174-15M Bus Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4184-16M Transit Industry Electric Power and Primary Energy Consumption and Travel . . . . . . . 4194-17M Class I Rail Freight Fuel Consumption and Travel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4204-19M U.S. Government Energy Consumption by Agency and Source (Petajoules) . . . . . . . . . . 4214-20M Energy Intensity of Passenger Modes (Kilojoule per passenger-kilometer) . . . . . . . . . . . 4234-21M Energy Intensity of Certificated Air Carriers, All Services . . . . . . . . . . . . . . . . . . . . . . . . 4244-22M Energy Intensity of Passenger Cars, Other 2-Axle 4-Tire Vehicles, and Motorcycles . . . 4264-23M Average Fuel Efficiency of U.S. Passenger Cars and Light Trucks . . . . . . . . . . . . . . . . . . 4284-24M Energy Intensity of Transit Motor Buses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4294-25M Energy Intensity of Class I Railroad Freight Service . . . . . . . . . . . . . . . . . . . . . . . . . . . . 430

Appendix C. Data Source and Accuracy Statements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 433

Appendix D. Glossary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501

Appendix E. List of Acronyms and Initialisms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517

Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 519

Page 16: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Table of Contents � xv

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8,15

9.5

8,50

8.9

8,85

6.5

9,22

4.0

Agr

icul

ture

, for

estr

y, fi

shin

g66

.597

.511

8.3

123.

113

0.4

143.

714

5.5

153.

416

6.3

Man

ufac

turin

g83

2.3

987.

91,

102.

31,

284.

71,

316.

01,

387.

21,

444.

31,

532.

11,

594.

6

Min

ing

90.6

96.2

105.

811

3.0

113.

011

7.0

119.

711

2.0

95.2

Page 17: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

xvi � Table of Contents

Con

stru

ctio

n24

9.4

270.

528

7.5

299.

631

6.4

324.

634

8.9

370

379.

3

Tran

spor

tatio

n15

4.0

170.

918

0.6

225.

124

3.4

248.

925

7.9

268.

628

1.1

Who

lesa

le /

reta

il tr

ade

621.

582

2.7

954.

61,

124.

41,

216.

71,

329.

41,

463.

31,

532.

51,

614.

1F

inan

ce, i

nsur

ance

, rea

l est

ate

1,00

3.1

1,12

5.5

1,25

0.6

1,39

3.0

1,43

6.8

1,52

0.8

1,62

2.1

1,71

3.5

1,80

9.5

Ser

vice

s92

8.1

1,10

3.3

1,36

1.9

1,51

0.4

1,56

4.2

1,63

2.2

1,69

9.0

1,77

4.8

1,86

5.2

Tota

l civ

ilian

lab

or

forc

e (t

ho

usa

nd

s)10

6,94

011

5,46

112

5,84

013

2,30

413

3,94

313

6,29

713

7,67

313

9,36

814

0,86

3P

artic

ipat

ion

rate

of m

en (

perc

ent)

77.4

76.3

76.4

75.0

74.9

75.0

74.9

74.7

74.7

Par

ticip

atio

n ra

te o

f wom

en (

perc

ent)

51.5

54.5

57.5

58.9

59.3

59.8

59.8

60.0

60.2

Nu

mb

er o

f h

ou

seh

old

s (t

ho

usa

nd

s)80

,776

86,7

8993

,347

98,9

9099

,627

101,

018

102,

528

103,

874

105,

480

Ave

rag

e si

ze o

f h

ou

seh

old

s2.

762.

692.

632.

652.

652.

642.

622.

612.

59

Med

ian

ho

use

ho

ld in

com

e10

(ch

ain

ed $

199

6)

33,7

2234

,439

35,9

4535

,082

35,4

9236

,175

37,4

3012

38,5

9212

38,5

56

Ave

rag

e h

ou

seh

old

exp

end

itu

res1

1 (c

hai

ned

$

1996

) U

34,2

5334

,070

33,2

1733

,797

34,0

3834

,205

34,8

41U

KE

Y:

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

1E

stim

ates

as

of J

uly

exce

pt 1

980

and

1990

, whi

ch a

re a

s of

Apr

il 1.

2To

tal p

opul

atio

n co

unt

has

been

rev

ised

sin

ce t

he 1

980

cens

us. N

umbe

rs b

y ag

e ha

ve n

ot b

een

corr

ecte

d an

d m

ay n

ot s

um t

o to

tal.

319

95 t

hrou

gh 1

999

data

are

est

imat

es.

4D

efin

ed a

s M

etro

polit

an S

tati

stic

al A

reas

and

Con

solid

ated

Met

ropo

litan

Sta

tist

ical

Are

as, a

s of

Jul

y 1,

199

4.5

As

of A

pril

1 of

yea

r in

dica

ted.

The

Cen

sus

Bur

eau

only

tab

ulat

es u

rban

/ ru

ral n

umbe

rs f

or t

he d

ecen

nial

cen

sus

year

s.6

As

of J

uly

1 fo

r al

l yea

rs e

xcep

t 19

80 a

nd 1

990.

7Fi

scal

yea

r en

ding

Sep

tem

ber

30.

8T

he C

ensu

s B

urea

u ta

bula

tes

area

(sq

uare

mile

s) d

ata

for

the

dece

nnia

l cen

sus

year

s on

ly.

Dat

a fo

r 19

90 r

efle

ct t

he in

clus

ion

of t

he G

reat

Lak

es, i

nlan

d w

ater

, an

d co

asta

l wat

er.

Dat

a fo

r pr

ior

year

s in

clud

ed in

land

wat

er o

nly.

9

Est

imat

es f

or 1

980

and

1985

are

sho

wn

on t

he b

asis

of

the

1972

Sta

ndar

d In

dust

rial

Cod

e (S

IC);

199

0-96

are

bas

ed o

n th

e 19

87 S

IC.

Val

ues

expr

esse

d as

ch

aine

d 19

96 d

olla

rs u

sing

indu

stry

-spe

cifi

c, c

hain

-typ

e qu

anti

ty in

dice

s fr

om t

he B

urea

u of

Eco

nom

ic A

naly

sis.

10H

ouse

hold

s as

of

Mar

ch o

f fo

llow

ing

year

. 11

Val

ues

conv

erte

d to

cha

ined

199

6 do

llars

usi

ng t

he c

hain

-typ

e pr

ice

inde

x fo

r pe

rson

al c

onsu

mpt

ion

expe

ndit

ures

fro

m t

he B

urea

u of

Eco

nom

ic A

naly

sis.

12M

edia

n in

com

e fo

r 19

99-2

000

is c

onve

rted

to

chai

ned

1996

dol

lars

usi

ng th

e C

PI-U

-RS

pric

e in

dex

whi

le p

revi

ous

year

s us

e th

e C

PI-U

pri

ce in

dice

s. C

ompa

r-is

ons

wit

h ea

rlie

r ye

ars

shou

ld b

e m

ade

wit

h ca

utio

n.

TABL

E A:

Soc

ial a

nd E

cono

mic

Cha

ract

eris

tics

of th

e Un

ited

Stat

es (C

ontin

ued)

1980

1985

1990

1995

1996

1997

1998

1999

2000

Page 18: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Table of Contents � xvii

TABL

E A:

Soc

ial a

nd E

cono

mic

Cha

ract

eris

tics

of th

e Un

ited

Stat

es (C

ontin

ued)

SOU

RC

ES

U.S

. res

iden

t po

pula

tion

:19

80-9

9: U

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

the

Cen

sus,

Sta

tist

ical

Abs

trac

t of

the

Uni

ted

Stat

es 2

000

(Was

hing

ton,

DC

: 200

1), t

able

15.

2000

: Ibi

d.,

2000

Cen

sus

of P

opul

atio

n an

d H

ousi

ng, P

rofi

les

of G

ener

al D

emog

raph

ic C

hara

cter

isti

cs 2

000

(Was

hing

ton

DC

: May

200

1), t

able

DP-

1.

Age

:19

80-9

9: I

bid.

, Sta

tist

ical

Abs

trac

t of

the

Uni

ted

Stat

es 2

000

(Was

hing

ton,

DC

: 200

1), t

able

12.

2000

: Ibi

d., 2

000

Cen

sus

of P

opul

atio

n an

d H

ousi

ng, P

rofi

les

of G

ener

al D

emog

raph

ic C

hara

cter

isti

cs 2

000

(Was

hing

ton

DC

: May

200

1), t

able

DP-

1.

Sex:

1980

-99:

Ibi

d., S

tati

stic

al A

bstr

act

of t

he U

nite

d St

ates

200

0 (W

ashi

ngto

n, D

C: 2

001)

, tab

le 1

0.20

00: I

bid.

, 200

0 C

ensu

s of

Pop

ulat

ion

and

Hou

sing

, Pro

file

s of

Gen

eral

Dem

ogra

phic

Cha

ract

eris

tics

200

0 (W

ashi

ngto

n D

C: M

ay 2

001)

, tab

le D

P-1.

M

etro

polit

an a

reas

:19

80-9

0, 1

998:

Ibi

d., S

tati

stic

al A

bstr

act

of t

he U

nite

d St

ates

200

0 (W

ashi

ngto

n, D

C: 2

001)

, tab

le 3

2.20

00: I

bid.

, 200

0 C

ensu

s of

Pop

ulat

ion

and

Hou

sing

, Pro

file

s of

Gen

eral

Dem

ogra

phic

Cha

ract

eris

tics

200

0 (W

ashi

ngto

n D

C: M

ay 2

001)

, tab

le 2

. R

ural

/ u

rban

:Ib

id.,

Stat

isti

cal A

bstr

act

of t

he U

nite

d St

ates

200

0 (W

ashi

ngto

n, D

C: 2

001)

, tab

le 3

7.R

egio

ns:

1990

-99:

Ibi

d., I

nter

net

site

htt

p://w

ww

.cen

sus.

gov/

popu

lati

on/e

stim

ates

/sta

te/s

t-99

-3.t

xt a

s of

Dec

. 29,

199

9.20

00: I

bid.

, 200

0 C

ensu

s of

Pop

ulat

ion

and

Hou

sing

, Pro

file

s of

Gen

eral

Dem

ogra

phic

Cha

ract

eris

tics

200

0 (W

ashi

ngto

n D

C: M

ay 2

001)

, tab

le D

P-1.

Imm

igra

nts:

1980

-85:

Ibi

d., S

tati

stic

al A

bstr

act

of t

he U

nite

d St

ates

199

0 (W

ashi

ngto

n, D

C: 1

990)

, tab

le 6

.19

90-9

6: I

bid.

, Sta

tist

ical

Abs

trac

t of

the

Uni

ted

Stat

es 1

998

(Was

hing

ton,

DC

: 199

8), t

able

6.

1997

-200

0: U

.S. D

epar

tmen

t of

Jus

tice

, Im

mig

rati

on a

nd N

atur

aliz

atio

n Se

rvic

e, O

ffic

e of

Pol

icy

and

Plan

ning

, Sta

tist

ics

Bra

nch,

Ann

ual R

epor

t, L

egal

Im

mi-

grat

ion,

Fis

cal Y

ear

2001

, No.

2, S

epte

mbe

r 20

00, I

nter

net

site

htt

p://w

ww

.ins.

usdo

j.gov

/gra

phic

s/ab

outi

ns/s

tati

stic

s/in

dex.

htm

as

of S

epte

mbe

r 30

, 200

2.

Tot

al a

rea:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of t

he C

ensu

s, S

tati

stic

al A

bstr

act

of t

he U

nite

d St

ates

200

0 (W

ashi

ngto

n, D

C:2

001)

, tab

le 1

.

Gro

ss d

omes

tic

prod

uct:

1980

-90:

Ibi

d., S

urve

y of

Cur

rent

Bus

ines

s (W

ashi

ngto

n, D

C: N

ovem

ber

1997

).19

95-9

6: I

bid.

, Nov

embe

r 19

98.

1997

-200

0: I

bid.

, Nov

embe

r 20

01.

Civ

ilian

labo

r fo

rce:

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Cur

rent

Pop

ulat

ion

Surv

ey, I

nter

net

site

htt

p://w

ww

.bls

.gov

, spe

cifi

c se

ries

dat

a qu

ery

as o

f D

ec. 2

0, 2

001.

Part

icip

atio

n ra

tes:

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Cur

rent

Pop

ulat

ion

Surv

ey, I

nter

net

site

htt

p://w

ww

.bls

.gov

, spe

cifi

c se

ries

dat

a qu

erie

s as

of

Dec

. 20,

200

1.N

umbe

r an

d av

erag

e si

ze o

f ho

useh

olds

:19

80-9

7: U

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

the

Cen

sus,

Sta

tist

ical

Abs

trac

t of

the

Uni

ted

Stat

es 1

998

(Was

hing

ton,

DC

: 199

8), t

able

69.

1998

-99:

Ibi

d., S

tati

stic

al A

bstr

act

of t

he U

nite

d St

ates

200

0 (W

ashi

ngto

n, D

C: 2

001)

, tab

le 6

0.20

00: I

bid.

, 200

0 C

ensu

s of

Pop

ulat

ion

and

Hou

sing

, Pro

file

s of

Gen

eral

Dem

ogra

phic

Cha

ract

eris

tics

200

0 (W

ashi

ngto

n D

C: M

ay 2

001)

, tab

le D

P-1.

Med

ian

hous

ehol

d in

com

e:19

80-9

8: I

bid.

, Sta

tist

ical

Abs

trac

t of

the

Uni

ted

Stat

es 2

000

(Was

hing

ton,

DC

:200

1), t

able

737

. 19

99-2

000:

Ibi

d., M

oney

Inc

ome

in t

he U

nite

d St

ates

200

0, (

Was

hing

ton

DC

: 200

1), t

able

A.

Ave

rage

hou

seho

ld e

xpen

ditu

res:

Ibid

., U

.S. D

epar

tmen

t of

Lab

or, B

urea

u of

Lab

or S

tati

stic

s, C

onsu

mer

Exp

endi

ture

Sur

vey,

Int

erne

t si

te h

ttp:

//ww

w.b

ls.g

ov/c

sxho

me.

htm

.

Page 19: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 20: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Chapter 1The Transportation

System

Section APhysical Extent

Page 21: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 22: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Extent � 3

TABL

E 1-

1: S

yste

m M

ileag

e W

ithin

the

Unite

d St

ates

(Sta

tute

mile

s)

196

0 1

965

197

0 1

975

198

0 1

985

199

0 1

995

199

6 1

997

199

8 1

999

2000

Hig

hw

aya

3,54

5,69

33,

689,

666

3,73

0,08

23,

838,

146

3,85

9,83

73,

863,

912

3,86

6,92

63,

912,

226

3,91

9,65

23,

945,

872

3,90

6,29

03,

917,

243

3,93

6,22

9

Cla

ss I

railb

,c20

7,33

419

9,79

819

6,47

919

1,52

016

4,82

214

5,76

411

9,75

810

8,26

410

5,77

910

2,12

810

0,57

099

,430

99,2

50

Am

trak

cN

NN

N24

,000

24,0

0024

,000

24,0

0025

,000

25,0

0022

,000

23,0

0023

,000

Tran

sitd

Com

mut

er r

ailc

NN

NN

N3,

574

4,13

24,

160

3,68

24,

417

5,17

25,

191

5,20

9

Hea

vy r

ail

NN

NN

N1,

293

1,35

11,

458

1,47

81,

527

1,52

71,

540

1,55

8Li

ght r

ail

NN

NN

N38

448

356

863

865

967

680

283

4

Nav

igab

le c

han

nel

se25

,000

25,0

0026

,000

26,0

0026

,000

26,0

0026

,000

26,0

0026

,000

26,0

0026

,000

26,0

0026

,000

Oil

pip

elin

ef19

0,94

421

0,86

721

8,67

122

5,88

921

8,39

321

3,60

520

8,75

218

1,91

217

7,53

517

9,87

317

8,64

817

7,46

3U

Gas

pip

elin

eg63

0,95

076

7,52

091

3,26

797

9,26

31,

051,

774

1,11

8,87

51,

206,

894

1,26

2,15

21,

276,

315

1,25

1,19

91,

294,

262

R1,

388,

942

1,40

0,38

6

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aA

ll pu

blic

roa

d an

d st

reet

mile

age

in t

he 5

0 st

ates

and

the

Dis

tric

t of

Col

umbi

a. F

or y

ears

pri

or t

o 19

80, s

ome

mile

s of

non

publ

ic r

oadw

ays

are

incl

uded

. No

cons

iste

nt d

ata

on p

riva

te r

oad

mile

age

are

avai

labl

e. B

egin

ning

in 1

998,

app

roxi

mat

ely

43,0

00 m

iles

of B

urea

u of

Lan

d M

anag

emen

t R

oads

are

exc

lude

d.b

Dat

a re

pres

ent

mile

s of

roa

d ow

ned

(agg

rega

te le

ngth

of

road

, exc

ludi

ng y

ard

trac

ks, s

idin

gs, a

nd p

aral

lel l

ines

).c

Port

ions

of

Cla

ss I

fre

ight

rai

lroa

ds, A

mtr

ak, a

nd c

omm

uter

rai

l net

wor

ks s

hare

com

mon

tra

ckag

e. A

mtr

ak d

ata

repr

esen

t m

iles

of t

rack

ope

rate

d.d

Tra

nsit

sys

tem

mile

age

is m

easu

red

in d

irec

tion

al r

oute

-mile

s. A

dir

ecti

onal

rou

te-m

ile is

the

mile

age

in e

ach

dire

ctio

n ov

er w

hich

pub

lic t

rans

port

atio

n ve

hi-

cles

tra

vel w

hile

in r

even

ue s

ervi

ce. D

irec

tion

al r

oute

-mile

s ar

e co

mpu

ted

wit

h re

gard

to

dire

ctio

n of

ser

vice

, but

wit

hout

reg

ard

to t

he n

umbe

r of

tra

ffic

lane

s or

rai

l tra

cks

exis

ting

in t

he r

ight

-of-

way

.e

The

St.

Law

renc

e Se

away

is n

ot in

clud

ed in

thi

s nu

mbe

r be

caus

e 3

of t

he 5

sub

sect

ions

are

sol

ely

in C

anad

ian

wat

ers,

and

the

oth

ers

are

in in

tern

atio

nal b

ound

-ar

y w

ater

s. O

f th

e 26

,000

mile

s of

nav

igab

le w

ater

way

s, 1

0,86

7 m

iles

are

com

mer

cial

ly s

igni

fica

nt s

hallo

w-d

raft

inla

nd w

ater

way

s su

bjec

t to

fue

l tax

es.

fIn

clud

es t

runk

and

gat

heri

ng li

nes

for

crud

e-oi

l pip

elin

e.g

Exc

lude

s se

rvic

e pi

pelin

es. D

ata

not

adju

sted

to

com

mon

dia

met

er e

quiv

alen

t. M

ileag

e as

of

the

end

of e

ach

year

. Inc

lude

s fi

eld

and

gath

erin

g, t

rans

mis

sion

, an

d di

stri

buti

on m

ains

. See

tab

le 1

-8 f

or a

mor

e de

taile

d br

eako

ut o

f oi

l and

gas

pip

elin

e m

ileag

e.SO

UR

CE

SH

ighw

ay:

1960

-95:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: A

nnua

l iss

ues)

, tab

le H

M-2

12.

1996

-98,

200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

HM

-20.

1999

: Ibi

d., p

erso

nal c

omm

unic

atio

n, M

ay 2

002.

Cla

ss I

rai

l:19

60-2

000:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: 200

1), p

. 45.

Am

trak

:19

80: A

mtr

ak, C

orpo

rate

Pla

nnin

g an

d D

evel

opm

ent,

per

sona

l com

mun

icat

ion

(Was

hing

ton,

DC

).19

85-2

000:

Am

trak

, Cor

pora

te P

lann

ing

and

Dev

elop

men

t, A

mtr

ak A

nnua

l Rep

ort,

Sta

tist

ical

App

endi

x (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.T

rans

it:

1985

-99:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al T

rans

it A

dmin

istr

atio

n, N

atio

nal T

rans

it D

atab

ase

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

20

and

sim

ilar

tabl

es in

ear

lier

edit

ions

.N

avig

able

cha

nnel

s:19

60-9

6: U

.S. A

rmy

Cor

ps o

f E

ngin

eers

, Ohi

o R

iver

Div

isio

n, H

unti

ngto

n D

istr

ict,

Ohi

o R

iver

Nav

igat

ion

Syst

em R

epor

t, 1

996,

Com

mer

ce o

n th

e O

hio

Riv

er

and

its

Tri

buta

ries

(Fo

rt B

elvo

ir, V

A: 1

996)

, p. 2

.19

97-9

9: W

ater

born

e C

omm

erce

Sta

tist

ics

Cen

ter

Dat

abas

es, p

erso

nal c

omm

unic

atio

n, A

ug. 3

, 200

1.O

il pi

pelin

e:19

60-9

9: E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n in

Am

eric

a, 2

000

(Was

hing

ton,

DC

: 200

1), p

. 44.

G

as p

ipel

ine:

1960

-200

0: A

mer

ican

Gas

Ass

ocia

tion

, Gas

Fac

ts (

Arl

ingt

on, V

A: A

nnua

l iss

ues)

, tab

le 5

-2 a

nd s

imila

r ta

bles

in e

arlie

r ed

itio

ns.

Page 23: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

4 � Chapter 1: The Transportation SystemTA

BLE

1-2:

Num

ber o

f Air

Carr

iers

, Rai

lroad

s, In

ters

tate

Mot

or C

arrie

rs, M

arin

e Ve

ssel

Ope

rato

rs, a

nd P

ipel

ine

Oper

ator

s

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Air

car

rier

saN

N39

3663

102

7096

9696

9694

9187

Maj

or a

ir ca

rrie

rsN

NN

NN

1314

1112

1313

1315

15O

ther

air

carr

iers

NN

NN

N89

5685

8483

8381

7672

Rai

lro

ads

607

568

517

477

480

500

530

541

553

550

559

555

560

U

Cla

ss I

railr

oads

106

7671

7339

2514

1110

99

98

UO

ther

rai

lroad

s50

149

244

640

444

1g 4

7551

653

054

354

155

054

655

2U

Inte

rsta

te m

otor

car

rier

sbe

ee

eU

U21

6,00

034

6,00

037

9,00

041

7,00

047

7,48

651

7,29

756

0,39

359

2,90

9

Mar

ine

vess

el o

pera

tors

cU

UU

UU

UU

2,51

92,

505

2,49

42,

534

2,39

12,

341

U

Pip

elin

e o

per

ato

rsd

NN

1,12

31,

682

2,24

32,

204

2,21

22,

378

2,33

82,

282

2,22

52,

216

2,16

31,

957

Haz

ardo

us li

quid

NN

NN

Ng 2

2218

720

921

521

722

521

624

323

9

Nat

ural

gas

tran

smis

sion

NN

420

432

474

724

866

974

970

954

880

862

828

637

Nat

ural

gas

dis

trib

utio

nN

N93

8f 1

,500

f 1,9

321,

485

1,38

21,

444

1,39

71,

363

1,36

61,

382

1,35

11,

305

KE

Y: N

= d

ata

do n

ot e

xist

; U =

dat

a ar

e no

t ava

ilabl

e.

aC

arri

er g

roup

s ar

e ca

tego

rize

d ba

sed

on t

heir

ann

ual o

pera

ting

rev

enue

s as

maj

or, n

atio

nal,

larg

e re

gion

al, a

nd m

ediu

m r

egio

nal.

The

thr

esho

lds

wer

e la

st

adju

sted

Jul

y 1,

199

9, a

nd t

he t

hres

hold

for

maj

or a

ir c

arri

ers

is c

urre

ntly

$1

billi

on. T

he o

ther

air

car

rier

cat

egor

y co

ntai

ns a

ll na

tion

al, l

arge

reg

iona

l, an

d m

ediu

m r

egio

nal a

ir c

arri

ers.

b

Figu

res

are

for

the

fisc

al y

ear,

Oct

ober

thr

ough

Sep

tem

ber.

The

Fed

eral

Mot

or C

arri

er S

afet

y A

dmin

istr

atio

n de

lete

s m

otor

car

rier

s fr

om t

he M

otor

Car

rier

M

anag

emen

t In

form

atio

n Sy

stem

(M

CM

IS)

whe

n th

ey r

ecei

ve a

n of

fici

al n

otic

e of

a c

hang

e in

sta

tus.

Thi

s m

ost

ofte

n oc

curs

whe

n a

safe

ty a

udit

or

com

pli-

ance

rev

iew

is a

ttem

pted

. As

a re

sult

, ina

ctiv

e ca

rrie

rs m

ay b

e in

clud

ed in

the

MC

MIS

. c

The

pri

nted

sou

rce

mat

eria

ls d

o no

t con

tain

tota

ls fo

r th

e nu

mbe

r of

ope

rato

rs a

nd d

ata

files

from

whi

ch th

e fig

ures

can

be

dete

rmin

ed a

re n

ot a

vaila

ble

prio

r to

199

3.d

The

re is

som

e ov

erla

p am

ong

the

oper

ator

s fo

r th

e pi

pelin

e m

odes

so

the

tota

l num

ber

of p

ipel

ine

oper

ator

s is

low

er t

han

the

sum

for

the

thr

ee p

ipel

ine

mod

es.

ePr

ior

to 1

980,

the

sou

rce

of m

otor

car

rier

dat

a w

as t

he I

nter

stat

e C

omm

erce

Com

mis

sion

(IC

C),

whi

ch w

as a

bolis

hed

on J

an. 1

, 199

6. (

Cer

tain

fun

ctio

ns

wer

e tr

ansf

erre

d to

the

Sur

face

Tra

nspo

rtat

ion

Boa

rd a

nd t

he D

epar

tmen

t of

Tra

nspo

rtat

ion.

) T

he s

yste

m u

sed

by I

CC

to

colle

ct m

otor

car

rier

dat

a di

ffer

s si

gnif

ican

tly

from

tha

t us

ed b

y th

e Fe

dera

l Mot

or C

arri

er S

afet

y A

dmin

istr

atio

n in

its

Mot

or C

arri

er M

anag

emen

t In

form

atio

n Sy

stem

(M

CM

IS),

whi

ch

bega

n op

erat

ions

in 1

980.

The

MC

MIS

is u

pdat

ed w

eekl

y, b

ut a

rchi

ve v

ersi

ons

are

not

reta

ined

. Bec

ause

of

diff

eren

ces

betw

een

the

two

syst

ems,

dat

a ar

e no

t co

mpa

rabl

e an

d th

us a

re n

ot in

clud

ed h

ere.

fIn

clud

es m

aste

r m

eter

and

mob

ile h

ome

park

nat

ural

gas

dis

trib

utio

n op

erat

ors.

A m

aste

r m

eter

sys

tem

is a

pip

elin

e sy

stem

for

dis

trib

utin

g ga

s w

ithi

n, b

ut

not

limit

ed t

o, a

def

inab

le a

rea,

suc

h as

a m

obile

hom

e pa

rk, h

ousi

ng p

roje

ct, o

r ap

artm

ent

com

plex

, whe

re t

he o

pera

tor

purc

hase

s m

eter

ed g

as f

rom

an

out-

side

sou

rce

for

resa

le t

hrou

gh a

gas

dis

trib

utio

n pi

pelin

e sy

stem

. The

gas

dis

trib

utio

n pi

pelin

e sy

stem

sup

plie

s th

e ul

tim

ate

cons

umer

who

eit

her

purc

hase

s th

e ga

s di

rect

ly t

hrou

gh a

met

er o

r by

oth

er m

eans

, suc

h as

by

rent

s.

gT

his

valu

e is

for

198

6. T

he n

umbe

r of

haz

ardo

us li

quid

pip

elin

e op

erat

ors

is n

ot a

vaila

ble

for

prio

r ye

ars.

Page 24: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Extent � 5

TABL

E 1-

2: N

umbe

r of A

ir Ca

rrie

rs, R

ailro

ads,

Inte

rsta

te M

otor

Car

riers

, Mar

ine

Vess

el O

pera

tors

, and

Pip

elin

e Op

erat

ors

(Con

tinue

d)

SOU

RC

ES

Air

car

rier

s:U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er F

inan

cial

Sta

tist

ics

Qua

rter

ly (

Was

hing

ton,

D

C: F

ourt

h qu

arte

r is

sues

), “

Alp

habe

tica

l Lis

t of

Air

Car

rier

s by

Car

rier

Gro

up ..

.”.

Rai

lroa

ds:

1960

-85:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d T

en-Y

ear

Tre

nds,

Vol

. 2 (

Was

hing

ton,

DC

), t

able

I-2

.19

89-9

8: I

bid.

, Vol

. 16

(Was

hing

ton,

DC

: 199

9), p

. 10.

1999

-200

0: I

bid.

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), p

. 3.

Inte

rsta

te m

otor

car

rier

s:U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Mot

or C

arri

er S

afet

y A

dmin

istr

atio

n, M

otor

Car

rier

Man

agem

ent

Info

rmat

ion

Syst

em (

MC

MIS

) da

ta, p

erso

nal

com

mun

icat

ion,

Nov

. 6, 2

001.

Mar

ine

vess

el o

pera

tors

:19

95-2

000:

U.S

. Arm

y C

orps

of

Eng

inee

rs, W

ater

born

e T

rans

port

atio

n L

ines

of

the

Uni

ted

Stat

es, V

olum

e 2,

Ves

sel C

ompa

ny S

umm

ary

(New

Orl

eans

, LA

: A

nnua

l iss

ues)

, sou

rce

data

file

s.Pi

pelin

e O

pera

tors

:U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Off

ice

of P

ipel

ine

Safe

ty, p

erso

nal c

omm

unic

atio

n, N

ov. 1

5, 2

001.

Page 25: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

6 � Chapter 1: The Transportation System

TABLE 1-3: Number of U.S. Airportsa

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001TOTAL airports 15,161 16,319 17,490 18,224 18,292 18,345 18,770 19,098 19,281 19,306

Public use, total 4,814 5,858 5,589 5,415 5,389 5,357 5,352 R5,324 5,317 5,315

Lighted runways, percent 66.2 68.1 71.4 74.3 74.5 74.6 74.8 R76.1 75.9 75.9

Paved runways, percent 72.3 66.7 70.7 73.3 73.7 74.0 74.2 74.2 74.3 74.3

Private use, total 10,347 10,461 11,901 12,809 12,903 12,988 13,418 13,774 13,964 13,990Lighted runways, percent 15.2 9.1 7.0 6.4 6.4 6.4 6.3 6.7 7.2 7.3

Paved runways, percent 13.3 17.4 31.5 33.0 32.9 33.0 33.2 31.8 32.0 32.0

Certificatedb, total 730 700 680 667 671 660 660 655 651 635

Civil N N N 572 577 566 566 565 563 562

Civil-military N N N 95 94 94 94 90 88 73

General aviation, total 14,431 15,619 16,810 17,557 17,621 17,685 18,110 18,443 18,630 18,760

KEY: N = data do not exist; R = revised.

a Includes civil and joint-use civil-military airports, heliports, STOL (short takeoff and landing) ports, and sea-plane bases in the United States and its territories.

b Certificated airports serve air-carrier operations with aircraft seating more than 30 passengers.

SOURCES 1980-2000: U.S. Department of Transportation, Federal Aviation Administration, Administrator’s Fact Book

(Washington, DC: Annual issues), Internet site http://www.atctraining.faa.gov/ as of Aug. 1, 2001. 2001: U.S. Department of Transportation, Federal Aviation Administration, personal communication, May 27,

2002.

Page 26: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Extent � 7

TABL

E 1-

4: P

ublic

Roa

d an

d St

reet

Mile

age

in th

e Un

ited

Stat

es b

y Ty

pe o

f Sur

face

a (T

hous

ands

of m

iles)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

TOTA

L p

aved

an

d u

np

aved

3,54

63,

690

3,73

03,

838

3,86

03,

864

3,86

73,

912

3,93

43,

958

3,94

93,

930

3,95

0

Pav

edb

Low

and

inte

rmed

iate

type

672

758

897

967

1,04

11,

015

1,02

51,

062

1,06

6d N

d Nd N

d NH

igh-

type

558

696

762

888

1,03

21,

099

1,23

01,

316

1,31

4d N

d Nd N

d N

Pav

ed t

ota

l1,

230

1,45

51,

658

1,85

52,

073

2,11

42,

255

2,37

8R

2,38

12,

410

2,42

02,

451

2,50

4

Un

pav

edc

tota

l2,

315

2,23

52,

072

1,98

31,

787

1,75

01,

612

1,53

41,

554

1,54

81,

529

1,47

91,

446

KE

Y: N

= d

ata

do n

ot e

xist

.

a19

60-9

5 da

ta in

clud

e th

e 50

sta

tes

and

the

Dis

tric

t of

Col

umbi

a; 1

996-

2000

dat

a in

clud

e th

e 50

sta

tes,

Dis

tric

t of

Col

umbi

a, a

nd P

uert

o R

ico.

bPa

ved

mile

age

incl

udes

the

fol

low

ing

cate

gori

es: l

ow t

ype

(an

eart

h, g

rave

l, or

sto

ne r

oadw

ay t

hat

has

a bi

tum

inou

s su

rfac

e co

urse

less

tha

n 1�

thi

ck);

inte

r-m

edia

te t

ype

(a m

ixed

bit

umin

ous

or b

itum

inou

s pe

netr

atio

n ro

adw

ay o

n a

flex

ible

bas

e ha

ving

a c

ombi

ned

surf

ace

and

base

thi

ckne

ss o

f le

ss t

han

7�);

hig

h-ty

pe f

lexi

ble

(a m

ixed

bit

umin

ous

or b

itum

inou

s pe

netr

atio

n ro

adw

ay o

n a

flex

ible

bas

e ha

ving

a c

ombi

ned

surf

ace

and

base

thi

ckne

ss o

f 7�

or

mor

e; h

igh-

type

com

posi

te (

a m

ixed

bit

umin

ous

or b

itum

inou

s pe

netr

atio

n ro

adw

ay o

f m

ore

than

1�

com

pact

ed m

ater

ial o

n a

rigi

d ba

se w

ith

a co

mbi

ned

surf

ace

and

base

thi

ckne

ss o

f 7�

or

mor

e; h

igh-

type

rig

id (

Port

land

cem

ent

conc

rete

roa

dway

wit

h or

wit

hout

a b

itum

inou

s w

eari

ng s

urfa

ce o

f le

ss t

han

1�).

c

Unp

aved

mile

age

incl

udes

the

follo

win

g ca

tego

ries

: uni

mpr

oved

roa

dway

s us

ing

the

natu

ral s

urfa

ce a

nd m

aint

aine

d to

per

mit

pas

sabi

lity;

gra

ded

and

drai

ned

road

way

s of

nat

ural

ear

th a

ligne

d an

d gr

aded

to

perm

it r

easo

nabl

y co

nven

ient

use

by

mot

or v

ehic

les,

and

tha

t ha

ve a

dequ

ate

drai

nage

to

prev

ent

seri

ous

impa

irm

ent

of t

he r

oad

by n

orm

al s

urfa

ce w

ater

–sur

face

may

be

stab

ilize

d; a

nd s

oil,

grav

el, o

r st

one

road

way

s dr

aine

d an

d gr

aded

wit

h a

surf

ace

of m

ixed

so

il, g

rave

l, cr

ushe

d st

one,

sla

g, s

hell,

etc

.–su

rfac

e m

ay b

e st

abili

zed.

The

per

cent

age

of u

npav

ed r

oads

tha

t ar

e no

nsur

face

d dr

oppe

d fr

om a

ppro

xim

atel

y 42

% in

the

196

0s t

o ab

out

37%

in t

he f

irst

hal

f of

the

197

0s, t

o ab

out

32%

in 1

980

and

has

held

at

abou

t 22

% s

ince

198

5.

dSo

urce

no

long

er s

orts

dat

a in

to t

hese

par

ticu

lar

cate

gori

es f

or p

aved

min

or c

olle

ctor

s an

d lo

cal p

ublic

roa

ds.

NO

TE

SA

pub

lic r

oad

is a

ny r

oad

unde

r th

e ju

risd

icti

on o

f an

d m

aint

aine

d by

a p

ublic

aut

hori

ty (

fede

ral,

stat

e, c

ount

y, t

own

or t

owns

hip,

loca

l gov

ernm

ent

or in

stru

-m

enta

lity

ther

eof)

and

ope

n to

pub

lic t

rave

l. N

o co

nsis

tent

dat

a on

pri

vate

roa

d m

ileag

e ar

e av

aila

ble

(alt

houg

h pr

ior

to 1

980

som

e no

npub

lic r

oadw

ay m

ile-

age

are

incl

uded

). M

ost

data

are

pro

vide

d by

the

sta

tes

to t

he U

S D

OT

Fed

eral

Hig

hway

Adm

inis

trat

ion

(FH

WA

). S

ome

year

s co

ntai

n FH

WA

est

imat

es f

or

som

e st

ates

. N

umbe

rs m

ay n

ot a

dd d

ue t

o ro

undi

ng.

SOU

RC

ES

1960

-95:

U.S

. Dep

artm

ent o

f T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le H

M-2

12.

1996

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

HM

-12.

Page 27: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

8 � Chapter 1: The Transportation SystemTA

BLE

1-5:

U.S

. Pub

lic R

oad

and

Stre

et M

ileag

e by

Fun

ctio

nal S

yste

ma

1990

19

9119

9219

9319

9419

9519

9619

9719

98b

1999

2000

TOTA

L u

rban

an

d r

ura

l mile

age

3,86

6,92

63,

883,

920

3,90

1,08

13,

905,

211

3,90

6,59

53,

912,

226

3,91

9,65

23,

945,

872

3,90

6,29

03,

917,

243

3,93

6,22

9

Urb

an m

ileag

eP

rinci

pal a

rter

ials

, Int

erst

ates

11,5

2711

,602

12,5

1612

,877

13,1

2613

,164

13,2

1713

,247

13,3

1213

,343

13,3

79

Prin

cipa

l art

eria

ls, o

ther

free

way

s,

and

expr

essw

ays

7,66

87,

709

8,49

18,

841

8,99

48,

970

9,02

79,

063

9,12

79,

132

9,14

0

Prin

cipa

l art

eria

ls, o

ther

51,9

6852

,515

51,9

0052

,708

53,1

1052

,796

52,9

8353

,223

53,1

3253

,199

53,3

12

Min

or a

rter

ials

74,6

5974

,795

80,8

1586

,821

87,8

5788

,510

89,0

2089

,185

89,4

9689

,432

89,7

89C

olle

ctor

s78

,254

77,1

0282

,784

84,8

5486

,089

87,3

3187

,790

88,0

4988

,071

88,0

0588

,200

Loca

l52

0,56

852

6,13

954

8,56

055

9,77

656

4,60

956

8,93

557

4,72

858

3,97

358

8,50

459

2,97

459

8,42

1

Tota

l74

4,64

474

9,86

278

5,06

680

5,87

781

3,78

581

9,70

682

6,76

583

6,74

084

1,64

284

6,08

585

2,24

1

Ru

ral m

ileag

eP

rinci

pal a

rter

ials

, Int

erst

ates

33,5

4733

,677

32,9

5132

,631

32,4

5732

,580

32,8

2032

,817

32,8

1332

,974

33,0

48P

rinci

pal a

rter

ials

, oth

er83

,802

86,7

4794

,947

96,7

7097

,175

97,9

4898

,131

98,2

5798

,852

98,8

3898

,911

Min

or a

rter

ials

144,

774

141,

795

137,

685

137,

577

138,

120

137,

151

137,

359

137,

497

137,

308

137,

462

137,

574

Maj

or c

olle

ctor

s43

6,35

243

6,74

643

4,07

243

2,22

243

1,11

543

1,71

243

2,11

743

2,71

443

2,40

843

2,93

443

3,12

1M

inor

col

lect

ors

293,

922

293,

511

284,

504

282,

182

282,

011

274,

081

273,

198

272,

362

272,

140

271,

676

271,

815

Loca

l2,

129,

885

2,14

1,58

22,

131,

856

2,11

7,95

22,

111,

932

2,11

9,04

82,

119,

262

2,13

5,48

52,

091,

127

2,09

7,27

42,

109,

519

Tota

l3,

122,

282

3,13

4,05

83,

116,

015

3,09

9,33

43,

092,

810

3,09

2,52

03,

092,

887

3,10

9,13

23,

064,

648

3,07

1,15

83,

083,

988

aIn

clud

es t

he 5

0 st

ates

and

the

Dis

tric

t of

Col

umbi

a. W

hen

stat

es d

id n

ot s

ubm

it r

epor

ts, d

ata

wer

e es

tim

ated

by

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

ed-

eral

Hig

hway

Adm

inis

trat

ion.

bB

egin

ning

in 1

998,

app

roxi

mat

ely

43,0

00 m

iles

of B

urea

u of

Lan

d M

anag

emen

t ro

ads

are

excl

uded

.

NO

TE

A p

ublic

roa

d is

any

roa

d un

der

the

owne

rshi

p of

and

mai

ntai

ned

by a

pub

lic a

utho

rity

(fe

dera

l, st

ate,

cou

nty,

tow

n or

tow

nshi

p, lo

cal g

over

nmen

t or

inst

rum

en-

talit

y th

ereo

f) a

nd o

pen

to p

ublic

tra

vel.

No

cons

iste

nt d

ata

on p

riva

te r

oad

mile

age

are

avai

labl

e. F

or m

ore

deta

iled

info

rmat

ion,

incl

udin

g br

eako

uts

of

mile

age

by o

wne

rshi

p an

d ty

pe o

f su

rfac

e, s

ee t

he s

ourc

e do

cum

ent.

SOU

RC

ES

1990

-95:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le H

M-2

20.

1996

-98,

200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

HM

-20.

Ava

il-ab

le a

t w

ww

.fhw

a.do

t.go

v/oh

im/o

him

stat

.htm

as

of O

ctob

er 2

001.

1999

: Ibi

d., p

erso

nal c

omm

unic

atio

n, M

ay 2

002.

Page 28: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Extent � 9

TABL

E 1-

6: E

stim

ated

U.S

. Roa

dway

Lan

e-M

iles

by F

unct

iona

l Sys

tem

a

1980

1985

1990

1995

1996

1997

1998

R,d

199

9R 2

000

TOTA

L la

ne-

mile

s7,

922,

174

8,01

7,99

48,

051,

081

8,15

8,25

38,

178,

654

R8,

242,

437

8,16

0,85

88,

177,

983

8,22

3,39

3

Urb

anIn

ters

tate

s48

,458

57,2

9562

,214

71,3

7771

,790

R72

,257

73,0

0673

,293

73,9

15

Oth

er a

rter

ials

b33

3,67

337

1,64

939

9,37

644

5,82

844

9,48

0R45

3,62

345

4,06

045

0,41

145

5,85

7

Col

lect

ors

145,

128

162,

377

167,

770

185,

032

186,

923

R18

8,85

018

7,53

318

6,33

418

8,56

8

Loca

l86

7,98

695

1,01

81,

041,

136

1,13

7,87

01,

149,

456

R1,

167,

946

1,17

7,00

91,

185,

948

1,19

6,84

0

Tota

l urb

an1,

395,

245

1,54

2,33

91,

670,

496

1,84

0,10

71,

857,

649

R1,

882,

676

1,89

1,60

81,

895,

986

1,91

5,18

0

Ru

ral

Inte

rsta

tes

130,

980

131,

907

135,

871

131,

916

132,

963

133,

165

133,

231

134,

198

134,

587

Oth

er a

rter

ials

b50

7,09

851

0,00

551

7,34

253

0,70

653

2,85

6R53

6,98

953

7,99

353

9,29

353

9,91

8

Col

lect

orsc

1,43

1,26

71,

466,

789

1,46

7,60

21,

417,

428

1,41

6,66

2R1,

418,

637

1,41

5,77

41,

413,

953

1,41

4,66

5

Loca

l4,

457,

584

4,36

6,95

44,

259,

770

4,23

8,09

64,

238,

524

R4,

270,

970

4,18

2,25

24,

194,

553

4,21

9,04

3

Tota

l ru

ral

6,52

6,92

96,

475,

655

6,38

0,58

56,

318,

146

6,32

1,00

5R

6,35

9,76

16,

269,

250

6,28

1,99

76,

308,

213

KE

Y: R

= r

evis

ed.

aIn

clud

es t

he 5

0 St

ates

and

the

Dis

tric

t of

Col

umbi

a.b

For

urba

n: t

he s

um o

f ot

her

free

way

s an

d ex

pres

sway

s, o

ther

pri

ncip

al a

rter

ials

, and

min

or a

rter

ials

. For

rur

al: t

he s

um o

f ot

her

prin

cipa

l art

eria

ls a

nd m

inor

ar

teri

als.

cIn

clud

es m

inor

and

maj

or c

olle

ctor

s.

dB

egin

ning

in 1

998,

app

roxi

mat

ely

86,0

00 la

ne-m

iles

of B

urea

u of

Lan

d M

anag

emen

t ro

ads

are

excl

uded

.

NO

TE

In e

stim

atin

g ru

ral a

nd u

rban

lane

mile

age,

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n as

sum

ed t

hat

rura

l min

or c

olle

ctor

s an

d ur

ban/

rura

l loc

al r

oads

are

tw

o la

nes

wid

e.

SOU

RC

ES

1980

-95:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, O

ffic

e of

Hig

hway

Inf

orm

atio

n M

anag

emen

t, t

able

HM

-260

(un

publ

ishe

d).

1996

-98,

200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

HM

-60.

Int

erne

t ad

dres

s w

ww

.fhw

a.do

t.go

v/oh

im.o

him

stat

.htm

as

of D

ec. 2

7, 2

001.

1999

: Ibi

d., p

erso

nal c

omm

unic

atio

n, J

une

5, 2

002.

Page 29: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

10 � Chapter 1: The Transportation System

TABLE 1-7: Number of Stations Served by Amtrak and Rail Transit, Fiscal Year

1985 1990 1995 1996 1997 1998 1999 2000Amtrak 503 516 530 542 516 508 510 515

Rail transit 1,895 2,169 2,382 2,325 2,391 2,524 2,567 2,595

NOTERail transit is the sum of commuter rail, heavy rail, and light rail. In several large urban areas, Amtrak and

commuter rail stations are shared.

SOURCESAmtrak:Amtrak, Amtrak Annual Report, Statistical Appendix (Washington, DC: Annual issues).

Rail transit:U.S. Department of Transportation, Federal Transit Administration, National Transit Database (Washington,

DC: Annual issues), table 20 (for 2000 issue) and similar tables in earlier editions.

Page 30: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Extent � 11

TABLE 1-8: ADA Lift- or Ramp-Equipped Transit Buses

1993 1994 1995 1996 1997 1998 1999 2000

Large buses, total 46,413 46,979 46,355 45,587 45,502 46,188 46,891 47,017ADA-lift or ramp-equipped 23,338 24,398 27,420 29,073 29,684 33,512 36,029 37,581Percent 50.3 51.9 59.2 63.8 65.2 72.6 76.8 79.9

Medium buses, total 3,542 3,693 3,879 4,233 5,136 5,929 6,613 7,455ADA-lift or ramp-equipped 1,911 2,153 2,561 3,081 4,143 5,150 5,959 6,926

Percent 54.0 58.3 66.0 72.8 80.7 86.9 90.1 92.9

Small buses, total 3,964 4,738 5,372 5,998 6,853 7,147 8,265 8,850ADA-lift or ramp-equipped 3,146 3,795 4,539 5,269 6,194 6,545 7,722 8,366Percent 79.4 80.1 84.5 87.8 90.4 91.6 93.4 94.5

Articulated buses, total 1,807 1,613 1,716 1,551 1,484 1,566 1,849 2,002ADA-lift or ramp-equipped 693 719 861 893 911 1,071 1,503 1,712Percent 38.4 44.6 50.2 57.6 61.4 68.4 81.3 85.5

TOTAL buses 55,726 57,023 57,322 57,369 58,975 60,830 63,618 65,324Total ADA-lift or ramp-equipped buses 29,088 31,065 35,381 38,316 40,932 46,278 51,213 54,585

Percent 52.2 54.5 61.7 66.8 69.4 76.1 80.5 83.6

KEY: ADA = Americans with Disabilities Act of 1992.

NOTESIncludes buses of transit agencies receiving federal funding for bus purchases, and buses of agencies not receiv-

ing federal funds that voluntarily report data to the Federal Transit Administration.Large buses have more than 35 seats; medium buses have 25-35 seats; small buses have less than 25 seats;

articulated buses are extra-long buses that measure between 54 and 60 feet.

SOURCEU.S. Department of Transportation, Federal Transit Administration, 2000 National Summaries and Trends

(Washington, DC: 2001).

Page 31: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

12 � Chapter 1: The Transportation SystemTA

BLE

1-9:

ADA

Acc

essi

ble

Rail

Tran

sit S

tatio

ns b

y Ag

ency

Nu

mb

er o

f st

atio

ns

Nu

mb

er o

f A

DA

acc

essi

ble

sta

tio

ns

Typ

e o

f ra

il tr

ansi

t/ag

ency

Pri

mar

y ci

ty

serv

ed19

9619

9719

9819

9920

0019

9619

9719

9819

9920

00H

eavy

rai

lB

ay A

rea

Rap

id T

rans

itS

an F

ranc

isco

, CA

3639

3939

3936

3939

3939

Los

Ang

eles

Cou

nty

Met

ropo

litan

Tra

nspo

rtat

ion

Aut

horit

y Lo

s A

ngel

es, C

A5

88

1316

58

813

16W

ashi

ngto

n M

etro

polit

an A

rea

Tran

sit A

utho

rity

Was

hing

ton,

DC

7475

7576

7874

7575

7678

Mia

mi-D

ade

Tran

sit A

genc

yM

iam

i, F

L21

2121

2121

00

00

0

Met

ropo

litan

Atla

nta

Rap

id T

rans

it A

utho

rity

Atla

nta,

GA

3636

3636

3636

3636

3636

Chi

cago

Tra

nsit

Aut

horit

yC

hica

go, I

L14

014

114

114

214

20

00

1454

Mas

sach

uset

ts B

ay T

rans

port

atio

n A

utho

rity

Bos

ton,

MA

5353

5353

5333

3333

3737

Mas

s Tr

ansi

t Adm

inis

trat

ion

- M

aryl

and

DO

TB

altim

ore,

MD

1414

1414

1414

1414

1414

Met

ropo

litan

Tra

nspo

rtat

ion

Aut

horit

y N

ew Y

ork

City

Tra

nsit

New

Yor

k, N

Y46

846

846

846

846

828

3030

3141

Por

t Aut

horit

y of

New

Yor

k an

d N

ew J

erse

y Tr

ansi

tN

ew Y

ork,

NY

1313

1313

136

66

66

Met

ropo

litan

Tra

nsit

Aut

horit

y S

tate

n Is

land

Rai

lway

New

Yor

k, N

Y22

2222

2222

22

22

2G

reat

er C

leve

land

Reg

iona

l Tra

nsit

Aut

horit

yC

leve

land

, OH

1818

1818

184

66

78

Sou

thea

ster

n P

enns

ylva

nia

Tran

spor

tatio

n A

utho

rity

Phi

lade

lphi

a, P

A76

7676

7676

44

44

4

Por

t Aut

horit

y Tr

ansi

t of A

llegh

eny

Cou

nty

Pitt

sbur

gh, P

A13

1313

1313

33

55

5

Co

mm

ute

r ra

ilS

outh

ern

Cal

iforn

ia R

egio

nal R

ailro

ad A

utho

rity

Los

Ang

eles

, CA

U45

4646

47U

4546

4647

Nor

thea

st Il

linoi

s R

egio

nal C

omm

uter

Rai

lroad

Cor

pora

tion

Chi

cago

, IL

226

226

226

227

227

9110

410

411

111

5N

orth

ern

Indi

ana

Com

mut

er T

rans

port

atio

n D

istr

ict

Chi

cago

, IL

1818

1818

187

77

77

Mas

sach

uset

ts B

ay T

rans

port

atio

n A

utho

rity

Bos

ton,

MA

UU

117

119

120

UU

6769

74N

ew J

erse

y Tr

ansi

t Cor

pora

tion

New

Yor

k, N

Y15

815

815

816

216

222

2241

4646

Met

ropo

litan

Tra

nspo

rtat

ion

Aut

horit

y Lo

ng Is

land

Rai

lroad

New

Yor

k, N

Y13

413

412

412

412

415

1588

9797

Met

ropo

litan

Tra

nspo

rtat

ion

Aut

horit

y M

etro

-Nor

th R

ailro

ad C

ompa

nyN

ew Y

ork,

NY

106

106

106

106

108

1719

2020

20S

outh

east

ern

Pen

nsyl

vani

a Tr

ansp

orta

tion

Aut

horit

y P

hila

delp

hia,

PA

181

177

177

177

177

2530

3030

30

Lig

ht

rail

Los

Ang

eles

Cou

nty

Met

ropo

litan

Tra

nspo

rtat

ion

Aut

horit

y Lo

s A

ngel

es, C

A36

3636

3636

3636

3636

36S

an F

ranc

isco

Mun

icip

al R

ailw

ay

San

Fra

ncis

co, C

A11

1111

1111

00

00

0

Sac

ram

ento

Reg

iona

l Tra

nsit

Dis

tric

tS

acra

men

to, C

A28

2828

2929

00

029

29S

an D

iego

Tro

lley,

Inc.

San

Die

go, C

A38

4149

4949

3841

4949

49S

anta

Cla

ra V

alle

y Tr

ansi

t Aut

horit

yS

an J

ose,

CA

3334

3434

475

55

521

Reg

iona

l Tra

nspo

rtat

ion

Dis

tric

tD

enve

r, C

O15

1515

1520

1515

1515

20

Page 32: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Extent � 13

Reg

iona

l Tra

nsit

Aut

horit

y of

Orle

ans

and

Jeffe

rson

New

Orle

ans,

LA

29

99

92

99

99

Mas

sach

uset

ts B

ay T

rans

port

atio

n A

utho

rity

Bos

ton,

MA

9595

9595

959

99

1212

Mas

s Tr

ansi

t Adm

inis

trat

ion

- M

aryl

and

DO

TB

altim

ore,

MD

2424

3232

3224

2432

3232

Bi-S

tate

Dev

elop

men

t Age

ncy

St.

Loui

s, M

O18

1818

1818

1818

1818

18N

ew J

erse

y Tr

ansi

t Cor

pora

tion

New

ark,

NJ

1111

1111

110

00

00

Nia

gara

Fro

ntie

r Tr

ansi

t Met

ro S

yste

m, I

nc.

Buf

falo

, NY

1414

1414

147

77

77

Gre

ater

Cle

vela

nd R

egio

nal T

rans

it A

utho

rity

Cle

vela

nd, O

H33

3333

3434

25

57

7Tr

i-Cou

nty

Met

ropo

litan

Tra

nspo

rtat

ion

Dis

tric

t of O

rego

nP

ortla

nd, O

R27

2729

4747

2626

2846

46

Por

t Aut

horit

y of

Alle

ghen

y C

ount

yP

ittsb

urgh

, PA

1313

1313

130

1313

1313

Sou

thea

ster

n P

enns

ylva

nia

Tran

spor

tatio

n A

utho

rity

Phi

lade

lphi

a, P

A64

6464

6464

00

00

0M

emph

is A

rea

Tran

sit A

utho

rity

Mem

phis

, TN

2020

2728

2820

2027

2828

Dal

las

Are

a R

ail T

rans

it A

utho

rity

Dal

las,

TX

1420

2020

2014

2020

2020

Gal

vest

on-I

slan

d Tr

ansi

tG

alve

ston

, TX

33

3U

U3

33

UU

Uta

h Tr

ansi

t Aut

horit

yS

alt L

ake

City

, UT

NA

NA

NA

1616

NA

NA

NA

1616

Kin

g C

ount

y D

epar

tmen

t of T

rans

port

atio

n S

eattl

e, W

A14

1414

99

1414

149

9K

enos

ha T

rans

itK

enos

ha, W

IN

AN

AN

AN

A1

NA

NA

NA

NA

0

KE

Y: A

DA

= A

mer

ican

s w

ith D

isab

ilitie

s A

ct o

f 199

2; N

A =

not

app

licab

le; U

= d

ata

are

not a

vaila

ble.

NO

TE

Dir

ectl

y op

erat

ed s

ervi

ce o

nly.

Dir

ectl

y op

erat

ed t

rans

it is

ser

vice

pro

vide

d by

a p

ublic

tra

nsit

age

ncy

usin

g it

s ow

n em

ploy

ees

to o

pera

te t

rans

it v

ehic

les.

Tra

n-si

t se

rvic

e pu

rcha

sed

unde

r co

ntra

ct b

y a

publ

ic t

rans

it a

genc

y is

not

con

side

red

dire

ctly

ope

rate

d tr

ansi

t.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Tra

nsit

Adm

inis

trat

ion,

Nat

iona

l Tra

nsit

Dat

abas

e (W

ashi

ngto

n, D

C: A

nnua

l Iss

ues)

, Int

erne

t si

te h

ttp:

//ww

w.n

td-

prog

ram

.com

/NT

D/n

tdho

me.

nsf?

Ope

nDat

abas

e as

of

Oct

ober

200

2.

TABL

E 1-

9: A

DA A

cces

sibl

e Ra

il Tr

ansi

t Sta

tions

by

Agen

cy (C

ontin

ued)

Nu

mb

er o

f st

atio

ns

Nu

mb

er o

f A

DA

acc

essi

ble

sta

tio

ns

Typ

e o

f ra

il tr

ansi

t/ag

ency

Pri

mar

y ci

ty

serv

ed19

9619

9719

9819

9920

0019

9619

9719

9819

9920

00

Page 33: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

14 � Chapter 1: The Transportation SystemTA

BLE

1-10

: U.S

. Oil

and

Gas

Pipe

line

Mile

age

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Oil

pip

elin

e

Cru

de li

nesa

141,

085

149,

424

146,

275

145,

679

129,

831

117,

812

118,

805

97,0

2992

,610

91,5

2387

,663

86,3

69U

Pro

duct

line

s49

,859

61,4

4372

,396

80,2

1088

,562

95,7

9389

,947

84,8

8384

,925

88,3

5090

,985

91,0

94U

Tota

l 19

0,94

421

0,86

721

8,67

122

5,88

921

8,39

321

3,60

520

8,75

218

1,91

217

7,53

517

9,87

317

8,64

817

7,46

3U

Gas

pip

elin

eb

Dis

trib

utio

n m

ains

391,

400

494,

500

594,

800

648,

200

701,

800

753,

400

837,

300

936,

800

959,

500

957,

100

999,

000

R1,

094,

500

1,11

0,00

0

Tran

smis

sion

pip

elin

esc

183,

700

211,

300

252,

200

262,

600

266,

500

271,

200

280,

100

263,

900

259,

300

251,

100

255,

800

R25

4,00

025

0,60

0

Fie

ld a

nd g

athe

ring

lines

55,8

0061

,700

66,3

0068

,500

83,5

0094

,300

89,5

0060

,400

57,5

0043

,000

40,2

00R

40,4

0039

,800

Tota

l63

0,95

076

7,52

091

3,26

797

9,26

31,

051,

774

1,11

8,87

51,

206,

894

1,26

1,10

01,

276,

315

1,25

1,19

91,

295,

000

R1,

388,

942

1,40

0,38

6

KE

Y: R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aIn

clud

es t

runk

and

gat

heri

ng li

nes.

bE

xclu

des

serv

ice

pipe

. Dat

a ar

e no

t ad

just

ed t

o co

mm

on d

iam

eter

equ

ival

ent.

Mile

age

as o

f th

e en

d of

eac

h ye

ar.

cA

fter

197

5, in

clud

es 5

,000

-6,2

00 m

iles

of u

nder

grou

nd s

tora

ge p

ipe.

NO

TE

For

gas

pipe

line

data

fro

m 1

960-

1997

, num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng b

ecau

se t

he s

ourc

e pr

ovid

es e

xact

num

bers

for

tot

als,

but

rou

nded

mile

-ag

e fo

r su

btot

als.

Exa

ct s

ubto

tals

wer

e no

t av

aila

ble

for

1998

.

SOU

RC

ES

Oil

pipe

line:

1960

-99:

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

001)

, p. 4

4.

Gas

pip

elin

e:19

60-2

000:

Am

eric

an G

as A

ssoc

iati

on, G

as F

acts

(A

rlin

gton

, VA

: Ann

ual i

ssue

s), t

able

s 5-

1 an

d 5-

2, a

nd s

imila

r ta

bles

in e

arlie

r ed

itio

ns.

Page 34: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter one

Section BVehicle, Aircraft, and

Vessel Inventory

Page 35: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 36: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 17

TABL

E 1-

11: N

umbe

r of U

.S. A

ircra

ft, V

ehic

les,

Ves

sels

, and

Oth

er C

onve

yanc

es

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

Air

carr

iera

2,13

52,

125

2,67

92,

495

3,80

84,

678

6,08

37,

411

7,47

87,

616

8,11

18,

228

R8,

055

Gen

eral

avi

atio

nb

(act

ive

fleet

)76

,549

95,4

4213

1,74

316

8,47

521

1,04

521

0,65

419

8,00

018

8,08

919

1,12

919

2,41

420

4,71

021

9,46

421

7,53

3

Hig

hw

ay (

reg

iste

red

veh

icle

s)

Pas

seng

er c

ar

61,6

71,3

9075

,257

,588

89,2

43,5

5710

6,70

5,93

412

1,60

0,84

312

7,88

5,19

313

3,70

0,49

612

8,38

6,77

512

9,72

8,34

112

9,74

8,70

413

1,83

8,53

813

2,43

2,04

413

3,62

1,42

0

Mot

orcy

cle

574,

032

1,38

1,95

62,

824,

098

4,96

4,07

05,

693,

940

5,44

4,40

44,

259,

462

3,89

7,19

13,

871,

599

3,82

6,37

33,

879,

450

4,15

2,43

34,

346,

068

Oth

er 2

-axl

e 4-

tire

vehi

cle

Ni

14,2

10,5

9120

,418

,250

27,8

75,9

3437

,213

,863

48,2

74,5

5565

,738

,322

69,1

33,9

1370

,224

,082

71,3

30,2

0575

,356

,376

79,0

84,9

79

Truc

k

Sin

gle-

unit

2-ax

le6-

tire

or m

ore

truc

k

N13

,999

,285

3,68

1,40

54,

231,

622

4,37

3,78

44,

593,

071

4,48

6,98

15,

023,

670

5,26

6,02

95,

293,

358

5,73

4,92

55,

762,

864

5,92

6,03

0

Com

bina

tion

truc

kh 1

1,91

4,24

978

6,51

090

5,08

21,

130,

747

1,41

6,86

91,

403,

266

1,70

8,89

51,

695,

751

1,74

6,58

61,

789,

968

1,99

7,34

52,

028,

562

2,09

6,61

9

Bus

272,

129

314,

284

377,

562

462,

156

528,

789

593,

485

626,

987

685,

503

694,

781

697,

548

715,

540

728,

777

746,

125

Tota

l hig

hw

ay

74,4

31,8

0091

,739

,623

111,

242,

295

137,

912,

779

161,

490,

159

177,

133,

282

193,

057,

376

205,

427,

212

210,

441,

249

211,

580,

033

215,

496,

003

220,

461,

056

225,

821,

841

Tran

sitc

Mot

or b

us49

,600

49,6

0049

,700

50,8

1159

,411

64,2

5858

,714

67,1

0771

,678

72,7

7072

,142

74,2

28P75

,013

Ligh

t rai

l car

s2,

856

1,54

91,

262

1,06

11,

013

717

913

999

1,14

01,

229

1,22

01,

297

P1,

577

Hea

vy r

ail c

ars

9,01

09,

115

9,28

69,

608

9,64

19,

326

10,4

1910

,157

10,2

0110

,242

10,3

0110

,306

P10

,591

Trol

ley

bus

3,82

61,

453

1,05

070

382

367

683

288

587

185

988

085

9P95

1

Com

mut

er ra

il ca

rs a

nd

loco

mot

ives

NN

NN

4,50

04,

035

4,41

54,

565

4,66

54,

943

4,96

34,

883

P5,

073

Dem

and

resp

onse

NN

NN

N14

,490

16,4

7129

,352

30,8

0432

,509

29,6

4631

,884

P33

,080

Oth

erd

NN

NN

N86

71,

197

2,80

93,

003

3,80

84,

703

5,05

9P5,

208

Rai

l

Cla

ss I

Frei

ght c

ars

1,65

8,29

21,

478,

005

1,42

3,92

11,

359,

459

1,16

8,11

486

7,07

065

8,90

258

3,48

657

0,86

556

8,49

357

5,60

457

9,14

056

0,15

4

Loco

mot

ive

29,0

3127

,780

27,0

7727

,846

28,0

9422

,548

18,8

3518

,812

19,2

6919

,684

20,2

6120

,256

20,0

28

Non

clas

s I f

reig

ht c

ars

32,1

0437

,164

29,7

8729

,407

102,

161

111,

086

103,

527

84,7

2487

,364

116,

108

121,

659

126,

762

132,

448

Car

com

pani

es a

nd

ship

pers

frei

ght c

ars

275,

090

R28

5,49

333

0,47

333

4,73

944

0,55

244

3,53

044

9,83

255

0,71

758

2,34

458

5,81

861

8,40

466

2,93

468

8,19

4

Am

trak

Pas

seng

er tr

ain

car

NN

N1,

913

2,12

81,

854

1,86

31,

722

1,73

01,

728

1,96

21,

992

1,89

4

Loco

mot

ive

NN

N35

541

929

131

831

329

933

234

532

937

8

Wat

er

Non

self-

prop

elle

d ve

ssel

se16

,777

17,0

3319

,377

25,5

1531

,662

33,5

9731

,209

31,3

6032

,811

33,0

1133

,509

33,3

8733

,152

Con

tinue

d ne

xt p

age

Page 37: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

18 � Chapter 1: The Transportation System

Sel

f-pr

opel

led

vess

elsf

6,54

36,

083

6,45

56,

144

7,12

67,

522

8,23

68,

281

8,29

38,

408

8,52

38,

379

8,20

2

Oce

ango

ing

stea

m a

nd

mot

or s

hips

(1,

000

gros

s to

ns a

nd o

ver)

2,92

62,

376

1,57

985

786

473

763

650

949

547

747

046

345

4

Rec

reat

iona

l boa

tsg

2,45

0,48

44,

138,

140

5,12

8,34

57,

303,

286

8,57

7,85

79,

589,

483

10,9

96,2

5311

,734

,710

11,8

77,9

3812

,312

,982

12,5

65,9

3012

,738

,271

12,7

82,1

43

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

.

aA

ir c

arri

er a

ircr

aft

are

thos

e ca

rryi

ng p

asse

nger

s or

car

go f

or h

ire

unde

r 14

CFR

121

and

14

CFR

135

. Beg

inni

ng in

199

0, t

he n

umbe

r of

air

craf

t is

the

m

onth

ly a

vera

ge o

f th

e nu

mbe

r of

air

craf

t re

port

ed in

use

for

the

last

thr

ee m

onth

s of

the

yea

r. Pr

ior

to 1

990,

it w

as t

he n

umbe

r of

air

craf

t re

port

ed in

use

du

ring

Dec

embe

r of

a g

iven

yea

r.b

1995

-97

data

may

not

be

com

para

ble

to e

arlie

r ye

ars

due

to c

hang

es in

met

hodo

logy

. Inc

lude

s ai

r ta

xi a

ircr

aft.

cPr

ior

to 1

984,

exc

lude

s m

ost

rura

l and

sm

alle

r sy

stem

s fu

nded

via

Sec

tion

s 18

and

16(

b)(2

), U

rban

Mas

s T

rans

port

atio

n A

ct o

f 196

4, a

s am

ende

d. A

lso

prio

r to

198

4, in

clud

es t

otal

veh

icle

s ow

ned

and

leas

ed.

dO

ther

incl

udes

aer

ial t

ram

way

, aut

omat

ed g

uide

way

tra

nsit

, cab

leca

r, fe

rry

boat

, inc

lined

pla

ne, m

onor

ail,

and

vanp

ool.

eN

onse

lf-p

rope

lled

vess

els

incl

ude

dry-

carg

o ba

rges

, tan

k ba

rges

, and

rai

lroa

d-ca

r fl

oats

.f

Self

-pro

pelle

d ve

ssel

s in

clud

e dr

y-ca

rgo

and/

or p

asse

nger

, off

shor

e su

pply

ves

sels

, rai

lroa

d-ca

r fe

rrie

s, t

anke

rs, a

nd t

owbo

ats.

gR

ecre

atio

nal v

esse

ls t

hat

are

requ

ired

to

be n

umbe

red

in a

ccor

danc

e w

ith

Cha

pter

123

of

Tit

le 4

6 U

.S.C

.h

Incl

uded

in s

ingl

e-un

it t

ruck

.i

All

truc

ks.

NO

TE

ST

rans

it m

otor

bus

fig

ure

is a

lso

incl

uded

as

part

of

bus

in t

he h

ighw

ay c

ateg

ory.

For

mor

e de

tail

on o

cean

goin

g ve

ssel

s, s

ee t

able

1-2

0.

SOU

RC

ES

Air

:A

ir c

arri

er:

1960

-65:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion,

FA

A S

tati

stic

al H

andb

ook

of A

viat

ion,

197

0 (W

ashi

ngto

n, D

C: 1

970)

, tab

le 5

.3.

1970

-75:

Ibi

d., 1

979

edit

ion

(Was

hing

ton,

DC

: 197

9), t

able

5.1

.19

80-8

5: I

bid.

, Cal

enda

r Y

ear

1986

(W

ashi

ngto

n, D

C: 1

986)

, tab

le 5

.1.

1990

: Ibi

d., C

alen

dar

Yea

r 19

97 (

Was

hing

ton,

DC

: unp

ublis

hed)

, tab

le 5

.1, p

erso

nal c

omm

unic

atio

n, M

ar. 1

9, 1

999.

1995

-200

0: A

eros

pace

Ind

ustr

ies

Ass

ocia

tion

, Aer

ospa

ce F

acts

and

Fig

ures

(W

ashi

ngto

n D

C: 2

001/

2002

), “

Act

ive

U.S

. Air

Car

rier

Fle

et”.

Gen

eral

avi

atio

n:19

60-6

5: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Avi

atio

n A

dmin

istr

atio

n, F

AA

Sta

tist

ical

Han

dboo

k of

Avi

atio

n, 1

969

(Was

hing

ton,

DC

: 196

9), t

able

9.1

0.19

70-7

5: I

bid.

, Cal

enda

r Y

ear

1976

(W

ashi

ngto

n, D

C: 1

976)

, tab

le 8

-6.

1980

: Ibi

d., G

ener

al A

viat

ion

Act

ivit

y Su

rvey

, Cal

enda

r Y

ear

1980

(W

ashi

ngto

n, D

C: 1

981)

, tab

le 1

-3.

1985

: Ibi

d., C

alen

dar

Yea

r 19

85 (

Was

hing

ton,

DC

: 198

7), t

able

2-9

.19

90-2

000:

Ibi

d., G

ener

al A

viat

ion

and

Air

Tax

i Act

ivit

y Su

rvey

, Cal

enda

r Y

ear

2000

(W

ashi

ngto

n, D

C: 2

002)

, tab

le 1

.2.

TABL

E 1-

11: N

umbe

r of U

.S. A

ircra

ft, V

ehic

les,

Ves

sels

, and

Oth

er C

onve

yanc

es (C

ontin

ued)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Page 38: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 19

TABL

E 1-

11: N

umbe

r of U

.S. A

ircra

ft, V

ehic

les,

Ves

sels

, and

Oth

er C

onve

yanc

es (C

ontin

ued)

Hig

hway

:P

asse

nger

car

:19

60-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C:

July

199

7), t

able

MV

-201

.19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

Mot

orcy

cle:

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Ju

ly 1

997)

, tab

le M

V-2

01.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Oth

er 2

-axl

e 4-

tire

veh

icle

s:19

70-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C:

July

199

7), t

able

VM

-201

A.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Sing

le-u

nit

and

com

bina

tion

tru

cks,

and

bus

es:

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Ju

ly 1

997)

, tab

le V

M-2

01A

.19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.

Tra

nsit

:19

60-9

7: A

mer

ican

Pub

lic T

rans

it A

ssoc

iati

on, T

rans

it F

act

Boo

k (W

ashi

ngto

n, D

C: 1

999)

, tab

le 4

4.19

98-2

000:

Ibi

d., P

ublic

Tra

nspo

rtat

ion

Fact

Boo

k (W

ashi

ngto

n D

C: 2

002)

, tab

le 4

6.

Rai

l (al

l cat

egor

ies,

exc

ept

Am

trak

):19

60-2

000:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d Fa

cts

2001

(W

ashi

ngto

n, D

C: O

ctob

er 2

001)

.

Am

trak

:P

asse

nger

tra

in-c

ars

and

loco

mot

ives

:19

75-8

0: A

mtr

ak, S

tate

and

Loc

al A

ffai

rs D

epar

tmen

t, p

erso

nal c

omm

unic

atio

n.19

85-2

000:

Ibi

d., A

mtr

ak A

nnua

l Rep

ort,

Sta

tist

ical

App

endi

x (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, p. 4

7.

Wat

er t

rans

port

atio

n:N

onse

lf-p

rope

lled

vess

els

and

self

-pro

pelle

d ve

ssel

s:19

60-2

000:

U.S

. Arm

y, C

orps

of

Eng

inee

rs, W

ater

born

e T

rans

port

atio

n L

ines

of

the

Uni

ted

Stat

es, V

olum

e 1,

Nat

iona

l Sum

mar

ies

(New

Orl

eans

, LA

: A

nnua

l is

sues

).O

cean

goin

g st

eam

mot

or s

hips

:19

60-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, M

arit

ime

Adm

inis

trat

ion,

Mer

chan

t Fl

eets

of

the

Wor

ld (

Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Rec

reat

iona

l boa

ts:

1960

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

U.S

. Coa

st G

uard

, Boa

ting

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Page 39: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

20 � Chapter 1: The Transportation SystemTA

BLE

1-12

: Sal

es o

r Del

iver

ies

of N

ew A

ircra

ft, V

ehic

les,

Ves

sels

, and

Oth

er C

onve

yanc

es

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Civ

ilian

air

craf

t (s

hip

men

ts)

Tran

spor

ta24

523

331

131

538

727

852

125

626

937

455

962

0R

485

U

Hel

icop

ters

N59

848

286

41,

366

384

603

292

278

346

363

361

R49

3U

Gen

eral

avi

atio

n7,

588

11,8

527,

283

14,0

7211

,881

2,02

91,

144

1,07

7R

1,11

5R

1,54

9R

2,19

3R

2,47

5R

2,80

2U

Hig

hw

ay

Pas

seng

er c

ar(n

ew r

etai

l sal

es)

6,64

1,00

09,

332,

000

8,40

0,00

08,

624,

000

8,97

9,00

011

,042

,000

9,30

0,00

08,

635,

000

8,52

7,00

08,

272,

000

8,14

2,00

08,

698,

000

8,84

7,00

0U

Mot

orcy

cle

(new

ret

ail s

ales

)bN

N1,

125,

000

940,

000

1,07

0,00

071

0,00

030

3,00

030

9,00

033

0,00

035

6,00

043

2,00

0R

546,

000

710,

000

U

Truc

k (f

acto

ry s

ales

)c1,

194,

475

1,71

6,56

41,

660,

446

2,23

1,63

01,

667,

283

3,35

6,90

53,

692,

474

5,68

9,55

15,

748,

147

6,12

5,93

56,

407,

702

7,34

5,05

97,

022,

478

U

Bus

; inc

lude

s sc

hool

bu

s (f

acto

ry s

ales

)i

35,2

4131

,994

40,5

3034

,385

33,5

3332

,731

23,9

1827

,583

26,8

8227

,483

ii

i

Rec

reat

iona

l veh

icle

(s

hipm

ents

)N

192,

830

380,

300

339,

600

178,

500

351,

700

347,

300

475,

200

466,

800

438,

800

441,

300

481,

200

418,

300

U

Bic

ycle

d

NN

NN

9,00

0,00

011

,400

,000

10,8

00,0

0012

,000

,000

10,9

00,0

0011

,000

,000

11,1

00,0

0011

,600

,000

11,9

00,0

0011

,300

,000

Tran

sit

(del

iver

ies)

Mot

or b

use

2,41

53,

000

1,42

45,

261

4,57

23,

367

4,77

96,

022

6,01

66,

329

7,13

56,

815

7,69

6U

Ligh

t rai

l0

00

032

6355

3839

7680

123

136

P11

1

Hea

vy r

ail

416

580

308

127

130

441

1072

1034

120

122

204

P75

1

Trol

ley

bus

00

01

980

118

33

054

00

U

Com

mut

er r

ail

214

666

302

2,16

515

217

983

3811

119

812

213

211

6P54

Cla

ss I

rail

(del

iver

ies)

Frei

ght c

arf

57,0

4777

,822

66,1

8572

,392

85,9

2012

,080

32,0

6360

,853

57,8

7750

,396

75,6

8574

,223

55,7

91U

Loco

mot

ive

389

1,38

71,

029

772

1,48

052

253

092

876

174

388

970

964

0U

Am

trak

(d

eliv

erie

s)

Pas

seng

er tr

ain

car

NN

N10

910

9N

5876

9210

00

26U

Loco

mot

ive

NN

N30

1710

010

011

135

04

U

Page 40: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 21

Wat

er t

ran

spo

rt

Mer

chan

t ves

selg

2013

1315

2314

01

01

42

0U

Rec

reat

iona

l boa

thN

NN

NR

569,

700

R63

6,80

0R

504,

100

663,

760

634,

750

610,

100

575,

800

584,

900

R57

4,00

054

1,30

0

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aU

.S.-

man

ufac

ture

d fi

xed-

win

g ai

rcra

ft o

ver

33,0

00 p

ound

s em

pty

wei

ght,

incl

udin

g al

l jet

tra

nspo

rts

plus

the

4-e

ngin

e tu

rbop

rop-

pow

ered

Loc

khee

d L

-100

.b

Incl

udes

dom

esti

c an

d im

port

ed v

ehic

les.

Pri

or t

o 19

85, a

ll te

rrai

n ve

hicl

es (

AT

Vs)

wer

e in

clud

ed in

the

mot

orcy

cle

tota

l. In

199

5, t

he M

otor

cycl

e In

dust

ry

Cou

ncil

revi

sed

its

data

for

the

yea

rs 1

985

to p

rese

nt t

o ex

clud

e A

TV

s fr

om it

s to

tals

. c

Incl

udes

larg

e pa

ssen

ger

or u

tilit

y ve

hicl

es t

hat

may

be

cons

ider

ed c

ars

in o

ther

tab

les.

dIn

clud

es d

omes

tic

and

impo

rted

veh

icle

s, w

heel

siz

es 2

0 in

ches

and

ove

r. D

ata

from

199

7 on

war

ds a

re p

roje

ctio

ns.

eB

uses

or

bus-

type

veh

icle

s on

ly. I

nclu

des

dem

and

resp

onse

. Exc

lude

s va

npoo

l van

s an

d m

ost

rura

l and

sm

alle

r sy

stem

s pr

ior

to 1

984.

Tra

nsit

mot

or b

us f

igur

e is

als

o in

clud

ed a

s pa

rt o

f th

e bu

s to

tal i

n th

e hi

ghw

ay c

ateg

ory.

fIn

clud

es a

ll ra

ilroa

ds a

nd p

riva

te c

ar o

wne

rs.

gSe

lf-p

rope

lled,

1,0

00 o

r m

ore

gros

s to

ns.

hR

etai

l uni

t es

tim

ates

. Inc

lude

s ou

tboa

rd, i

nboa

rd, a

nd s

tern

driv

e bo

ats,

jet

boat

s (s

ince

199

5), p

erso

nal w

ater

craf

t (s

ince

199

1), s

ailb

oats

, and

can

oes.

Als

o in

clud

es in

flat

able

boa

ts (

unti

l 199

2) a

nd s

ailb

oard

s (u

ntil

1990

).i

Incl

uded

in t

ruck

fig

ure.

SOU

RC

ES

Civ

ilian

air

craf

t:19

60-2

000:

Aer

ospa

ce I

ndus

trie

s A

ssoc

iati

on, A

eros

pace

Fac

ts a

nd F

igur

es (

Was

hing

ton,

DC

: Ann

ual i

ssue

s), “

Civ

il A

ircr

aft

Ship

men

ts”.

Hig

hway

:P

asse

nger

car

s an

d tr

ucks

:19

60-9

7: A

mer

ican

Aut

omob

ile M

anuf

actu

rers

Ass

ocia

tion

, Mot

or V

ehic

le F

acts

& F

igur

es, 1

998

(Sou

thfi

eld,

MI:

199

9), p

. 21

(pas

seng

er c

ar)

and

p. 6

(tr

uck)

.19

98-2

000:

War

d’s

Com

mun

icat

ions

, Mot

or V

ehic

le F

acts

& F

igur

es, 2

001

(Det

roit

, MI:

200

1), p

. 21

(pas

seng

er c

ar)

and

p. 6

(tr

uck)

.M

otor

cycl

es:

1970

-200

0: M

otor

cycl

e In

dust

ry C

ounc

il, I

nc.,

Mot

orcy

cle

Stat

isti

cal A

nnua

l, 20

01 (

Irvi

ne, C

A: 2

002)

, p. 8

and

sim

ilar

tabl

es in

ear

lier

edit

ions

.B

uses

:19

65-9

7: A

mer

ican

Aut

omob

ile M

anuf

actu

rers

Ass

ocia

tion

, Mot

or V

ehic

le F

acts

& F

igur

es, 1

998

(Det

roit

, MI:

199

8), p

. 6 a

nd s

imila

r ta

bles

in e

arlie

r ed

itio

ns.

1998

-200

0: W

ard’

s C

omm

unic

atio

ns, M

otor

Veh

icle

Fac

ts &

Fig

ures

, 199

9 (D

etro

it, M

I: 1

999)

, p. 6

and

sim

ilar

tabl

es in

ear

lier

edit

ions

.R

ecre

atio

nal v

ehic

les:

1965

-97:

Ibi

d., M

otor

Veh

icle

Fac

ts &

Fig

ures

, 199

8 (D

etro

it, M

I: 1

998)

, p. 1

2 an

d si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

1998

-200

0: W

ard’

s C

omm

unic

atio

ns, M

otor

Veh

icle

Fac

ts &

Fig

ures

, 200

1 (D

etro

it, M

I: 2

001)

, p. 1

1.B

icyc

les:

1980

-200

1: N

atio

nal B

icyc

le D

eale

rs A

ssoc

iati

on, I

nter

net

site

htt

p://w

ww

.nbd

a.co

m a

s of

Jul

y 24

, 200

2, a

nd p

erso

nal c

omm

unic

atio

n, S

ept.

24,

199

6.T

rans

it:

1960

-200

1: A

mer

ican

Pub

lic T

rans

it A

ssoc

iatio

n, P

ublic

Tra

nspo

rtat

ion

Fact

Boo

k 20

02 (W

ashi

ngto

n, D

C: F

ebru

ary

2002

), ta

ble

56 a

nd s

imila

r ta

bles

in e

arlie

r ed

ition

s.C

lass

I r

ail:

1960

-200

0: A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: 2

001)

, p. 5

5 an

d si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

Am

trak

:19

75-8

0: I

bid.

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: 199

7), p

. 17

and

sim

ilar

tabl

es in

ear

lier

edit

ions

.19

85-2

000:

Am

trak

, Am

trak

Ann

ual R

epor

t, S

tati

stic

al A

ppen

dix

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Wat

er:

Mer

chan

t ve

ssel

:19

60-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, M

arit

ime

Adm

inis

trat

ion,

Mer

chan

t Fl

eets

of

the

Wor

ld (

Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Rec

reat

iona

l boa

t:19

80-2

001:

Nat

iona

l Mar

ine

Man

ufac

ture

rs A

ssoc

iati

on, B

oati

ng 2

001

(Chi

cago

, IL

: 200

2), a

nnua

l ret

ail u

nit

esti

mat

es.

TABL

E 1-

12: S

ales

or D

eliv

erie

s of

New

Airc

raft,

Veh

icle

s, V

esse

ls, a

nd O

ther

Con

veya

nces

(Con

tinue

d)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Page 41: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

22 � Chapter 1: The Transportation SystemTA

BLE

1-13

: Act

ive

Air C

arrie

r and

Gen

eral

Avi

atio

n Fl

eet b

y Ty

pe o

f Airc

raft

1965

1970

1975

1980

1985

f19

9019

9519

9619

9719

9819

9920

00

AIR

CA

RR

IER

a2,

125

2,67

92,

495

3,80

84,

678

6,08

37,

411

7,47

87,

616

8,11

18,

228

7,93

5

Fix

ed W

ing

2,10

42,

663

2,48

83,

803

4,67

36,

072

7,29

37,

357

7,48

27,

994

8,10

67,

898

Turb

ojet

Four

eng

ine

511

931

602

436

322

432

435

440

450

447

441

441

Thr

ee e

ngin

e17

365

999

41,

347

1,48

81,

438

1,21

01,

212

1,22

41,

238

1,18

11,

103

Two

engi

ne41

546

518

743

1,35

42,

278

3,18

73,

270

3,43

43,

726

4,00

84,

277

Tota

l tu

rbo

jet

725

2,13

62,

114

2,52

63,

164

4,14

84,

832

4,92

25,

108

5,41

15,

630

5,82

1Tu

rbop

rop

Four

eng

ine

215

110

6892

108

8881

5645

3928

31Tw

o en

gine

8925

919

259

096

51,

507

1,63

21,

635

1,59

61,

789

1,75

91,

457

One

eng

ine

85

NN

NN

05

54

10

Tota

l tu

rbo

pro

p31

237

426

068

21,

073

1,59

51,

713

1,69

61,

646

1,83

21,

788

1,48

8P

isto

n

Four

eng

ine

447

3437

7338

3115

1819

1719

17T

hree

eng

ine

590

110

69N

46

17

43

33

Two

engi

ne30

98

522

394

292

333

317

298

391

292

260

One

eng

ine

NN

NN

NN

399

397

407

340

374

309

Tota

l pis

ton

1,06

715

311

459

543

632

974

873

972

875

168

858

9H

elic

op

ter

2116

72

511

118

121

134

117

122

37

GE

NE

RA

L A

VIA

TIO

N(G

EN

ER

AL

FL

EE

T)b

95,4

4216

1,74

316

8,47

521

1,04

319

6,50

019

8,00

018

8,08

919

1,12

919

2,41

420

4,71

021

9,46

421

7,53

3

Fix

ed W

ing

c 93,

130

127,

934

161,

570

200,

097

184,

700

184,

500

162,

342

163,

691

166,

854

175,

203

184,

723

183,

276

Turb

ojet

Two

engi

neN

e 822

e 1,7

422,

551

3,60

03,

700

4,07

14,

077

4,63

85,

513

6,38

76,

215

Oth

erN

128

e 34

441

5040

048

834

753

955

273

378

6

Tota

l tu

rbo

jet

N95

01,

776

2,99

24,

100

4,10

04,

559

4,42

45,

178

6,06

67,

120

7,00

1Tu

rbop

rop

Two

engi

neN

1,28

7e 2

,486

3,96

64,

900

4,90

04,

295

4,91

74,

939

5,07

64,

641

5,04

0

One

eng

ine

N13

833

NN

N66

871

965

01,

033

1,01

867

8O

ther

N33

N12

310

040

032

8029

6521

45

Tota

l tu

rbo

pro

pN

1,45

82,

519

4,09

05,

000

5,30

04,

995

5,71

65,

619

6,17

45,

679

5,76

2

Page 42: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 23

Pis

ton

Two

engi

ned 1

1,42

215

,835

e 20,

331

24,3

6622

,100

21,1

0015

,706

16,0

8215

,938

18,6

5920

,930

20,9

51

One

eng

ine

81,1

3410

9,49

213

6,94

416

8,43

515

3,40

015

4,00

013

7,04

913

7,40

114

0,03

814

4,23

415

0,88

614

9,42

2O

ther

N19

9N

212

100

100

3368

7970

108

140

Tota

l pis

ton

92,5

5612

5,52

615

7,27

519

3,01

417

5,60

017

5,20

015

2,78

815

3,55

115

6,05

616

2,96

317

1,92

317

0,51

3R

oto

rcra

ft1,

503

2,25

54,

073

6,00

16,

000

6,90

05,

830

6,57

06,

786

7,42

57,

448

7,15

0P

isto

nN

1,66

62,

499

2,79

42,

700

3,20

01,

863

2,50

72,

259

2,54

52,

564

2,68

0

Turb

ine

Mul

tieng

ine

NN

NN

NN

733

643

764

843

839

694

One

eng

ine

N58

9N

NN

N3,

234

3,42

03,

762

4,03

84,

045

3,77

6

Tota

l tu

rbin

eN

589

1,57

43,

207

3,30

03,

700

3,96

74,

063

4,52

74,

881

4,88

44,

470

Oth

er A

ircr

aft

809

1,55

42,

832

4,94

55,

800

6,60

04,

741

4,24

44,

092

5,58

06,

765

6,70

0G

lider

sN

NN

NN

N2,

182

1,93

42,

016

2,10

52,

041

2,04

1

Ligh

ter-

than

-Air

NN

NN

NN

2,55

92,

310

2,07

53,

475

4,72

54,

660

Exp

erim

enta

lN

NN

NN

N15

,176

16,6

2514

,680

16,5

0220

,528

20,4

07A

mat

eur

Bui

ltN

NN

NN

N9,

328

11,5

6610

,261

13,1

8916

,858

16,7

39

Exh

ibiti

onN

NN

NN

N2,

245

2,09

41,

798

1,63

01,

999

1,97

3O

ther

NN

NN

NN

3,60

32,

965

2,62

01,

684

1,67

11,

694

KE

Y: N

= d

ata

are

not a

vaila

ble.

aA

ir c

arri

er a

ircr

aft

are

airc

raft

car

ryin

g pa

ssen

gers

or

carg

o fo

r hi

re u

nder

14

CFR

121

(la

rge

airc

raft

-mor

e th

an 3

0 se

ats)

and

14

CFR

135

(sm

all a

ircr

aft-

30

seat

s or

less

). T

his

defi

niti

on is

mor

e en

com

pass

ing

than

tha

t in

the

Fed

eral

Avi

atio

n A

dmin

istr

atio

n (F

AA

) A

viat

ion

Fore

cast

- je

t ai

rcra

ft, 6

0 se

ats

or m

ore

carr

ying

pas

seng

ers

or c

argo

for

hir

e. B

egin

ning

in 1

990,

the

num

ber

of a

ircr

aft

is t

he m

onth

ly a

vera

ge r

epor

ted

in u

se f

or t

he la

st t

hree

mon

ths

of t

he y

ear.

Prio

r to

199

0, it

was

the

num

ber

of a

ircr

aft

repo

rted

in u

se d

urin

g D

ecem

ber

of a

giv

en y

ear.

bC

olum

ns m

ay n

ot a

dd t

o to

tals

due

to

esti

mat

ion

proc

edur

es. B

egin

ning

in 1

993,

exc

lude

s co

mm

uter

s. P

rior

to

1993

, sin

gle

engi

ne t

urbo

prop

s w

ere

incl

uded

in

“O

ther

tur

bopr

ops”

; sin

gle

and

mul

tien

gine

tur

bine

rot

orcr

aft

wer

e no

t sh

own

sepa

rate

ly; g

lider

s an

d lig

hter

-tha

n-ai

r ai

rcra

ft w

ere

com

bine

d in

to t

he

“Oth

er”

cate

gory

; and

exp

erim

enta

l air

craf

t w

ere

incl

uded

in t

he a

ppro

pria

te a

ircr

aft

type

. For

exa

mpl

e, p

rior

to

1993

, the

sin

gle

engi

ne p

isto

n ai

rcra

ft t

ype

incl

uded

bot

h ex

peri

men

tal a

nd n

onex

peri

men

tal a

ircr

aft

Star

ting

in 1

993,

tha

t ai

rcra

ft t

ype

only

incl

udes

non

expe

rim

enta

l air

craf

t. D

ue t

o ch

ange

s in

met

h-od

olog

y be

ginn

ing

in 1

995,

est

imat

es m

ay n

ot b

e co

mpa

rabl

e to

tho

se f

or 1

994

and

earl

ier

year

s. V

alue

s fo

r 19

91 t

hrou

gh 1

994

wer

e re

vise

d to

ref

lect

ch

ange

s in

adj

ustm

ent

for

nonr

espo

nse

bias

. c

Tota

l inc

lude

s 57

4 tu

rbin

e ai

rcra

ft o

f un

spec

ifie

d su

btyp

e.d

Mul

tien

gine

.e

Sing

le-e

ngin

e.f

Sour

ce r

epor

ted

roun

ded

data

for

gen

eral

avi

atio

n.

Con

tinue

d ne

xt p

age

TABL

E 1-

13: A

ctiv

e Ai

r Car

rier a

nd G

ener

al A

viat

ion

Flee

t by

Type

of A

ircra

ft (C

ontin

ued)

1965

1970

1975

1980

1985

f19

9019

9519

9619

9719

9819

9920

00

Page 43: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

24 � Chapter 1: The Transportation SystemTA

BLE

1-13

: Act

ive

Air C

arrie

r and

Gen

eral

Avi

atio

n Fl

eet b

y Ty

pe o

f Airc

raft

(Con

tinue

d)

NO

TE

SPr

ior

to 1

970,

air

craf

t co

unts

incl

uded

air

craf

t re

tain

ed in

FA

A d

ata

syst

ems

unti

l the

ow

ners

req

uest

ed t

hat

they

be

dere

gist

ered

. As

a re

sult

, tho

usan

ds o

f ai

r-cr

aft

that

had

bee

n de

stro

yed

over

the

yea

rs r

emai

ned

in t

he s

yste

m. S

ince

197

0, a

nnua

l ver

ific

atio

n of

air

craf

t re

gist

rati

ons

is r

equi

red.

Fai

lure

to

com

ply

wit

h th

is r

equi

rem

ent

lead

s to

rev

ocat

ion

of t

he r

egis

trat

ion

cert

ific

ate

and

excl

usio

n of

the

air

craf

t fr

om t

he o

ffic

ial c

ount

of

the

follo

win

g ye

ar. L

iste

d en

gine

con

figu

rati

ons

(e.g

., tw

o-, t

hree

-, m

ulti

-) r

epre

sent

all

appl

icab

le c

ombi

nati

ons

for

each

air

craf

t ty

pe. T

otal

s m

ay n

ot a

gree

wit

h th

ose

in o

ther

tab

les

as r

evis

ions

to

prio

r ye

ar d

ata

are

repo

rted

at

the

aggr

egat

e le

vel o

nly.

SOU

RC

ES

Air

car

rier

s:19

65: U

.S. D

epar

tmen

t of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion,

FA

A S

tati

stic

al H

andb

ook

of A

viat

ion,

196

6 E

ditio

n. (W

ashi

ngto

n, D

C: 1

966)

, tab

le 7

.5.

1970

: Ibi

d., C

alen

dar

Yea

r 19

71. (

Was

hing

ton,

DC

: 197

2), t

able

5.5

.19

75: I

bid.

, Cal

enda

r Y

ear

1975

. (W

ashi

ngto

n, D

C: D

ec. 3

1, 1

975)

, tab

le 5

.3.

1980

: Ibi

d., C

alen

dar

Yea

r 19

80. (

Was

hing

ton,

DC

: Dec

. 31,

198

0), t

able

5.2

.19

85: I

bid.

, Cal

enda

r Y

ear

1993

. FA

A-A

PO-9

5-5

(Was

hing

ton,

DC

: 199

5), t

able

5.2

.19

90: I

bid.

, Cal

enda

r Y

ear

1996

, Int

erne

t si

te: h

ttp:

//ww

w.a

pi.f

aa.g

ov/h

andb

ook9

6/to

c96.

htm

, as

of M

ar. 3

1, 2

000,

tab

le 5

.2.

1995

-200

0: A

eros

pace

Ind

ustr

ies

Ass

ocia

tion

, Aer

ospa

ce F

acts

and

Fig

ures

(W

ashi

ngto

n D

C: 2

001/

2002

), “

Act

ive

U.S

. Air

Car

rier

Fle

et.”

Gen

eral

avi

atio

n:19

65: U

.S. D

epar

tmen

t of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion,

FA

A S

tati

stic

al H

andb

ook

of A

viat

ion,

196

6 E

ditio

n. (W

ashi

ngto

n, D

C: 1

966)

, tab

le 5

.1.

1970

: Ibi

d., C

alen

dar

Yea

r 19

71. (

Was

hing

ton,

DC

: 197

2), t

able

8.3

.19

75: I

bid.

, Cal

enda

r Y

ear

1975

. (W

ashi

ngto

n, D

C: D

ec. 3

1, 1

975)

, tab

le 8

.4.5

5

1980

: Ibi

d., G

ener

al A

viat

ion

Act

ivit

y an

d A

vion

ics

Surv

ey, A

nnua

l Rep

ort

Cal

enda

r Y

ear

1980

, FA

A-M

S-81

-5 (

Was

hing

ton,

DC

: Dec

embe

r 19

85),

tab

le 2

-6.

1985

: Ibi

d., A

nnua

l Sum

mar

y R

epor

t 19

94 D

ata,

FA

A-A

PO-9

5-10

(W

ashi

ngto

n, D

C: 1

996)

, tab

le 1

.2.

1990

-200

0: I

bid.

, Gen

eral

Avi

atio

n an

d A

ir T

axi A

ctiv

ity

Surv

ey, C

alen

dar

Yea

r 20

00 (

Was

hing

ton,

DC

: 200

2), t

able

1.2

and

sim

ilar

tabl

es in

ear

lier

edit

ions

.

Page 44: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 25

TABL

E 1-

14: U

.S. A

utom

obile

and

Tru

ck F

leet

s by

Use

(Tho

usan

ds)

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

e

TOTA

L a

uto

mo

bile

s an

d t

ruck

s in

fle

ets

UU

UU

U15

,257

15,5

7015

,869

16,8

7915

,530

15,1

9613

,642

Nu

mb

er o

f au

tom

ob

iles

in f

leet

s o

f 25

o

r m

ore

(10

or

mo

re c

ars

fro

m 1

999)

a

Bus

ines

sb2,

889

2,62

82,

492

1,75

11,

722

1,32

61,

295

1,18

81,

159

3,19

52,

950

2,62

0

Gov

ernm

entc

538

504

516

401

428

1,21

41,

209

1,21

81,

030

885

883

734

Util

ities

551

544

548

386

382

376

376

377

359

320

317

Uf

Pol

ice

249

250

264

264

266

269

274

280

289

302

306

312

Taxi

(in

clud

es v

ans)

141

141

140

140

141

139

130

181

190

135

136

142

Ren

tal (

incl

udes

van

s an

d S

UV

s)99

01,

160

1,44

81,

501

1,47

31,

518

1,59

01,

608

1,60

21,

733

1,58

11,

542

Nu

mb

er o

f au

tom

ob

iles

in f

leet

s o

f 4

to 2

4(4

to

9 c

ars

fro

m 1

999)

aU

UU

UU

4,20

04,

250

4,37

34,

921

1,17

21,

173

1,29

0

Tota

l au

tom

ob

iles

in f

leet

sU

UU

UU

9,04

29,

124

9,22

59,

550

7,74

27,

346

6,64

0

Nu

mb

er o

f tr

uck

s in

fle

ets

of

25 o

rm

ore

(10

or

mo

re t

ruck

s fr

om

199

9)a

Bus

ines

sdU

U1,

080

1,37

81,

375

1,20

51,

275

1,33

21,

360

3,01

63,

026

2,82

0

Gov

ernm

entc

UU

297

632

646

2,22

12,

215

2,22

32,

010

2,40

02,

408

2,05

2

Util

ities

UU

593

493

487

480

482

483

459

499

498

Uf

Oth

er (

polic

e, ta

xi, e

tc.)

UU

77

77

77

88

89

Ren

tal t

ruck

s (n

ot v

ans

and

SU

Vs)

UU

304

308

363

202

197

179

181

213

248

246

Nu

mb

er o

f tr

uck

s in

fle

ets

of

4 to

24

(4 t

o 9

tru

cks

fro

m 1

999)

aU

UU

UU

2,10

02,

270

2,42

03,

311

1,65

21,

662

1,87

5

Tota

l tru

cks

in f

leet

sU

UU

UU

6,21

56,

446

6,64

47,

329

7,78

87,

850

7,00

2

KE

Y: S

UV

= s

port

util

ity v

ehic

le; U

= d

ata

are

not a

vaila

ble.

aT

he d

ata

sour

ce, B

obit

Pub

lishi

ng, c

hang

ed d

ata

colle

ctio

n ca

tego

ries

fro

m 1

999.

bIn

clud

es d

rive

r sc

hool

s.c

Incl

udes

mili

tary

veh

icle

s an

d fe

dera

l, st

ate,

cou

nty,

and

loca

l gov

ernm

ent

vehi

cles

.d

Bus

ines

ses

wit

h 25

or

mor

e C

lass

1-5

tru

cks

incl

udin

g le

asin

g, c

onst

ruct

ion,

plu

mbi

ng, h

eati

ng, f

ood

dist

ribu

tion

, pes

t co

ntro

l, ca

ble

TV

, etc

. (A

lso

appl

ies

post

-199

9 da

ta).

e

2001

dat

a do

es n

ot in

clud

e em

ploy

ee-o

wne

d fl

eet

info

rmat

ion

as t

he s

ourc

e ha

s st

oppe

d pu

blis

hing

the

dat

a.f

Bus

ines

s an

d ut

ility

dat

a ha

ve b

een

com

bine

d in

the

Aut

omot

ive

Flee

t Fa

ct B

ook,

200

2.

SOU

RC

EB

obit

Pub

lishi

ng C

o., A

utom

otiv

e Fl

eet

Fact

Boo

k, 2

002.

Page 45: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

26 � Chapter 1: The Transportation SystemTA

BLE

1-15

: Ann

ual U

.S. M

otor

Veh

icle

Pro

duct

ion

and

Fact

ory

(Who

lesa

le) S

ales

(Tho

usan

ds)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Pro

du

ctio

nP

asse

nger

car

s6,

703

9,33

56,

550

6,71

76,

376

8,18

56,

077

6,35

16,

083

5,92

75,

554

5,63

85,

542

Com

mer

cial

veh

icle

sa1,

202

1,78

51,

734

2,27

01,

634

3,46

83,

706

5,63

55,

749

6,19

26,

448

7,38

77,

228

Tota

l7,

905

11,1

208,

284

8,98

78,

010

11,6

539,

783

11,9

8511

,833

12,1

1912

,003

13,0

2512

,771

Fact

ory

(w

ho

lesa

le)

sale

sP

asse

nger

car

s6,

675

9,30

66,

547

6,71

36,

400

8,00

26,

050

6,31

06,

140

6,07

05,

677

5,42

85,

504

Com

mer

cial

veh

icle

sa1,

194

1,75

21,

692

2,27

21,

667

3,46

43,

725

5,71

35,

776

6,15

36,

435

6,69

97,

022

Tota

l7,

869

11,0

578,

239

8,98

58,

067

11,4

679,

775

12,0

2311

,916

12,2

2312

,112

12,1

2712

,527

aIn

clud

es t

ruck

s un

der

10,0

00 p

ound

s gr

oss

vehi

cle

wei

ght

rati

ng (

GV

WR

), s

uch

as c

ompa

ct a

nd c

onve

ntio

nal p

icku

ps, s

port

uti

lity

vehi

cles

, min

ivan

s, a

nd

vans

, and

tru

cks

and

buse

s ov

er 1

0,00

0 po

unds

GV

WR

.

NO

TE

SFa

ctor

y sa

les

can

be g

reat

er t

han

prod

ucti

on t

otal

bec

ause

of

sale

s fr

om p

revi

ous

year

’s in

vent

ory.

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

E19

60-2

000:

War

d’s,

Mot

or V

ehic

le F

acts

& F

igur

es 2

001

(Sou

thfi

eld,

MI:

200

1), p

. 3.

Page 46: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 27

TABL

E 1-

16: R

etai

la N

ew P

asse

nger

Car

Sal

es (T

hous

ands

)

1970

1975

1980

1985

19

9019

9519

9619

9719

98

1999

2000

TOTA

L n

ew p

asse

ng

er c

ar s

ales

8,40

08,

624

8,97

911

,042

9,30

08,

635

8,52

78,

272

8,14

28,

698

8,84

7

Do

mes

ticb

7,11

97,

053

6,58

18,

205

6,89

77,

129

7,25

46,

917

6,76

26,

979

6,83

1

Imp

ort

s1,

280

1,57

12,

398

2,83

82,

403

1,50

61,

273

1,35

51,

380

1,71

92,

016

Japa

n31

380

81,

906

2,21

81,

719

982

727

726

691

758

863

Ger

man

y75

049

330

542

426

520

723

829

736

746

751

7

Oth

er21

727

118

719

641

931

730

833

232

249

463

7

aR

etai

l new

car

sal

es in

clud

e bo

th s

ales

to

indi

vidu

als

and

to c

orpo

rate

fle

ets.

It

also

incl

udes

leas

ed c

ars.

bIn

clud

es c

ars

prod

uced

in C

anad

a an

d M

exic

o.

SOU

RC

ES

1970

: Am

eric

an A

utom

obile

Man

ufac

ture

rs A

ssoc

iati

on, M

otor

Veh

icle

Fac

ts &

Fig

ures

199

2 (D

etro

it, M

I: 1

992)

, p. 1

6.19

80: I

bid.

, Mot

or V

ehic

le F

acts

& F

igur

es 1

997

(Det

roit

, MI:

199

7), p

. 19.

1975

, 198

5-20

00: W

ard’

s, M

otor

Veh

icle

Fac

ts &

Fig

ures

200

1 (S

outh

fiel

d, M

I: 2

001)

, p. 2

1.

Page 47: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

28 � Chapter 1: The Transportation SystemTA

BLE

1-17

: New

and

Use

d Pa

ssen

ger C

ar S

ales

and

Lea

ses

(Tho

usan

ds)

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

TOTA

L n

ew a

nd

use

d p

asse

ng

er c

ar s

ales

46,8

3045

,465

45,1

6446

,575

49,1

3150

,393

49,3

2749

,512

48,9

8249

,438

50,4

66U

New

pas

sen

ger

car

sal

esa

9,30

08,

175

8,21

48,

518

8,99

08,

635

8,52

68,

272

8,14

28,

698

8,84

6U

Use

d p

asse

ng

er c

ar s

ales

b37

,530

37,2

9036

,950

38,0

5740

,141

41,7

5840

,801

R41

,237

R40

,841

R40

,739

41,6

2042

,624

Val

ue o

f tra

nsac

tions

($

billi

ons)

R22

0R

229

R24

625

7R

291

R31

9R

329

R33

633

5R

350

R35

737

6

Ave

rage

pric

e (c

urre

nt $

)R

5,85

7R

6,14

3R

6,65

6R

6,74

2R

7,24

5R

7,64

4R

8,07

3R

8,13

9R

8,21

1R

8,58

7R

8,57

88,

832

New

pas

sen

ger

car

leas

esc

534

667

882

1,19

71,

715

1,79

51,

806

2,06

22,

174

2,27

12,

272

U

KE

Y: R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aIn

clud

es le

ased

car

s.

bU

sed

car

sale

s in

clud

e sa

les

from

fra

nchi

sed

deal

ers,

inde

pend

ent

deal

ers,

and

cas

ual s

ales

. c

Con

sum

er le

ases

onl

y.

SOU

RC

ES

New

pas

seng

er c

ar s

ales

:W

ard’

s, M

otor

Veh

icle

Fac

ts &

Fig

ures

, 200

1 (S

outh

fiel

d, M

I: 2

001)

, p.1

5.

Use

d pa

ssen

ger

car

sale

s:

AD

T A

utom

otiv

e, 2

001

Use

d C

ar M

arke

t R

epor

t (N

ashv

ille,

TN

: 200

0), p

. 5.

Lea

sed

pass

enge

r ca

rs:

CN

W M

arke

ting

/ R

esea

rch,

per

sona

l com

mun

icat

ion,

May

31,

200

0, A

ug. 1

3, 2

001,

and

Aug

. 26,

200

2.

Page 48: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 29

TABL

E 1-

18: R

etai

l Sal

es o

f New

Car

s by

Sec

tor (

Thou

sand

s)

1960

1965

1970

1975

1980

1985

19

9019

9519

9619

9719

9819

9920

0020

01To

tal

6,64

19,

333

8,40

28,

538

8,98

210

,978

9,30

0R

8,68

7R

8,52

7R

8,27

38,

142

8,69

78,

852

8,42

2

Sal

es o

f n

ew c

ars

Con

sum

er5,

645

7,10

36,

252

5,90

76,

100

7,09

25,

677

R4,

351

R4,

079

R3,

909

3,98

8R

4,38

9R

4,69

64,

640

Bus

ines

s93

02,

140

2,05

62,

508

2,75

83,

754

3,47

7R

4,18

6R

4,27

3R

4,21

73,

984

R4,

135

3,98

93,

617

Gov

ernm

ent

6689

9412

312

413

214

7R

151

R17

6R

147

R17

1R

173

R16

716

6

Per

cen

tag

e o

f to

tal s

ales

Con

sum

er85

.076

.174

.469

.267

.964

.661

.0R

50.1

R47

.8R

47.3

49.0

R50

.553

.055

.1

Bus

ines

s14

.022

.924

.529

.430

.734

.237

.4R

48.2

R50

.1R

51.0

48.9

R47

.545

.142

.9

KE

Y: R

= r

evis

ed.

NO

TE

SIn

clud

es im

port

ed c

ars,

but

not

van

s, t

ruck

s, o

r sp

ort

utili

ty v

ehic

les.

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

EU

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

Eco

nom

ic A

naly

sis,

Nat

iona

l Inc

ome

and

Wea

lth

Div

isio

n, u

npub

lishe

d da

ta.

Page 49: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

30 � Chapter 1: The Transportation System

TABLE 1-19: Period Sales, Market Shares, and Sales-Weighted Fuel Economies of New Domestic and Imported Automobiles

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001

Salesa (thousands)Total units 9,095 10,969 9,224 8,725 8,652 8,261 8,071 8,646 8,978 8,308

Minicompact 428 52 77 45 34 40 12 13 19 33Subcompact 3,441 2,382 2,030 1,518 1,315 1,510 1,491 1,622 1,789 922Compact 599 3,526 3,156 3,290 3,493 2,937 2,309 2,367 2,398 3,058

Midsize 3,073 3,118 2,512 2,499 2,488 2,531 3,107 3,359 3,352 2,669Large 1,336 1,516 1,279 1,321 1,259 1,162 1,050 1,181 1,297 1,507Two-seater 216 374 170 53 62 81 101 103 122 118

Market share, percentMinicompact 4.7 0.5 0.8 0.5 0.4 0.5 0.2 0.1 0.2 0.4

Subcompact 37.8 21.7 22.0 17.4 15.2 18.3 18.5 18.8 19.9 11.1Compact 6.6 32.1 34.2 37.7 40.4 35.6 28.6 27.4 26.7 36.8Midsize 33.8 28.4 27.2 28.6 28.8 30.6 38.5 38.9 37.3 32.1

Large 14.7 13.8 13.9 15.1 14.6 14.1 13.0 13.7 14.4 18.1Two-seater 2.4 3.4 1.8 0.6 0.7 1.0 1.3 1.2 1.4 1.4

Fuel economy, mpgFleet 23.2 27.0 27.6 28.0 28.3 28.3 28.3 28.0 28.2 28.5Minicompact 29.4 32.7 26.4 27.0 27.2 26.3 23.9 24.8 25.6 24.6

Subcompact 27.3 30.1 31.3 31.7 32.1 32.6 31.3 31.0 31.1 29.6Compact 22.3 29.6 28.9 30.2 30.4 30.0 30.8 30.2 30.4 31.3

Midsize 21.3 24.9 25.9 25.9 26.4 26.3 26.9 27.0 26.8 27.2Large 19.3 22.3 23.5 24.1 24.2 24.5 24.6 24.4 25.3 25.4Two-seater 21.0 27.6 28.0 24.7 25.4 26.3 25.4 25.2 25.8 26.5

KEY: mpg = miles per gallon.

a Sales period is October 1 of the previous year through September 30 of the current year. These figures repre-sent only those sales that could be matched to corresponding U.S. Environmental Protection Agency fuel economy values.

NOTENumbers and percents may not add to totals due to rounding.

SOURCELight-Duty Vehicle MPG and Market Shares System Database, as cited in Oak Ridge National Laboratory,

Transportation Energy Data Book, Edition 21, ORNL-6966 (Oak Ridge, TN: 2001), table 7.5, p. 7-6, and personal communication, Sept. 3, 2002.

Page 50: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 31

TABLE 1-20: Period Sales, Market Shares, and Sales-Weighted Fuel Economies of New Domestic and Imported Light Trucks

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001

Salesa (thousands)Total units 2,217 4,235 4,515 5,934 6,237 6,527 7,138 8,002 8,307 8,020

Small pickups 516 864 1,136 1,068 1,010 978 891 1,111 1,072 819Large pickups 1,115 1,691 1,116 1,473 1,607 1,594 1,947 2,022 1,969 1,988Small vans 14 438 1,012 1,331 1,307 1,298 1,273 1,372 1,272 1,051

Large vans 328 536 319 328 293 304 331 364 369 324Small SUV 52 442 402 510 580 350 487 662 756 895Medium SUV 152 187 434 1,077 1,272 1,448 1,586 1,758 2,167 2,158

Large SUV 40 78 94 149 168 555 622 713 702 785

Market share, percentSmall pickups 23.3 20.4 25.2 18.0 16.2 15.0 12.5 13.9 12.9 10.2Large pickups 50.3 39.9 24.7 24.8 25.8 24.4 27.3 25.3 23.7 24.8Small vans 0.6 10.3 22.4 22.4 21.0 19.9 17.8 17.1 15.3 13.1

Large vans 14.8 12.7 7.1 5.5 4.7 4.7 4.6 4.5 4.4 4.0Small SUV 2.3 10.4 8.9 8.6 9.3 5.4 6.8 8.3 9.1 11.2Medium SUV 6.9 4.4 9.6 18.1 20.4 22.2 22.2 22.0 26.1 26.9

Large SUV 1.8 1.8 2.1 2.5 2.7 8.5 8.7 8.9 8.5 9.8

Fuel economy, mpgFleet 18.1 20.4 20.5 20.2 20.4 20.1 20.3 20.0 20.4 20.5Small pickups 25.5 26.8 24.5 24.4 24.8 24.1 24.1 22.6 22.0 21.3

Large pickups 17.0 19.0 17.5 17.8 17.9 18.5 18.3 18.1 18.7 19.0Small vans 19.6 23.9 22.3 22.4 22.3 22.5 23.0 22.8 23.0 23.1Large vans 16.3 16.4 17.1 17.2 17.3 18.0 18.2 17.7 18.2 18.3

Small SUV 17.7 22.1 22.5 22.0 22.6 23.3 23.7 23.6 23.8 24.3Medium SUV 14.9 17.2 19.7 19.2 19.6 19.1 20.0 20.0 20.4 20.7Large SUV 13.7 17.1 16.5 16.1 17.3 17.5 17.4 17.1 17.5 17.6

KEY: mpg = miles per gallon; SUV = sport utility vehicle.

a Sales period is October 1 of the previous year through September 30 of the current year. These figures repre-sent only those sales that could be matched to corresponding U.S. Environmental Protection Agency fuel economy values.

NOTESNumbers and percents may not add to totals due to rounding.Fleet sales total cannot be compared with truck sales in table 1-10 for the following reasons: 1) this table

includes both domestic and imported trucks, whereas the numbers in table 1-10 are for domestic trucks only; and 2) this table covers only light trucks, whereas the numbers in table 1-10 include heavy trucks.

SOURCELight-Duty Vehicle MPG and Market Shares System Database, as cited in Oak Ridge National Laboratory,

Transportation Energy Data Book, Edition 21, ORNL-6966 (Oak Ridge, TN: 2001), table 7.6, p. 7-7, and personal communication, Sept. 3, 2002.

Page 51: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

32 � Chapter 1: The Transportation System

TABLE 1-21: Number of Trucks by Weight

Thousands of trucks Percent change 1992 1997 1992-97

All trucks 59,200.8 72,800.3 23.0%

Truck categoryLight

Less than 6,001 lb 50,545.7 62,798.4 24.2%

Medium6,001 to 10,000 lb 4,647.5 5,301.5 14.1%10,001 to 14,000 lb 694.3 818.9 17.9%14,001 to 16,000 lb 282.4 315.9 11.9%

16,001 to 19,500 lb 282.3 300.8 6.6%

Light-heavy19,501 to 26,000 lb 732.0 729.3 -0.4%

Heavy26,001 to 33,000 lb 387.3 427.7 10.4%33,001 to 40,000 lb 232.6 256.7 10.4%40,001 to 50,000 lb 338.6 399.9 18.1%

50,001 to 60,000 lb 226.7 311.4 37.4%60,001 to 80,000 lb 781.1 1,069.8 37.0%80,001 to 100,000 lb 33.3 46.3 39.0%

100,001 to 130,000 lb 12.3 17.9 45.5%130,000 lb or more 4.6 5.9 28.3%

Not reported <50 <50 N

KEY: lb = pound; N = data do not exist.

NOTESAverage vehicle weight is the empty weight of the vehicle plus the aver-

age load of the vehicle.Excludes vehicles owned by Federal, state, or local governments; ambu-

lances; buses; motor homes; farm tractors; unpowered trailer units; and trucks reported to have been sold, junked, or wrecked prior to July 1 of the year preceding the survey.

SOURCEU.S. Census Bureau, 1997 Economic Census: Vehicle Inventory and

Use Survey: United States, EC97TV-US (Washington, DC: 1999).

Page 52: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 33

TABL

E 1-

22: W

orld

Mot

or V

ehic

le P

rodu

ctio

n, S

elec

ted

Coun

tries

(Tho

usan

ds)

Pas

sen

ger

car

sb

1961

1971

1981

1991

1994

1995

1996

1997

1998

1999

2000

TOTA

L w

orl

d11

,391

26,4

5327

,407

35,2

8735

,730

36,1

1137

,318

38,4

7437

,286

38,8

1640

,732

U.S

. per

cen

t o

f w

orl

d48

3223

1519

1816

1515

1514

Arg

entin

a78

193

139

114

338

227

269

366

353

225

239

Aus

tral

ia18

239

335

226

932

331

430

332

035

029

432

4A

ustr

ia8

17

1445

5997

9891

124

116

Bel

gium

N27

921

625

340

938

636

835

631

921

891

2B

razi

l98

342

406

705

1,24

81,

297

1,45

91,

680

1,24

41,

102

1,34

8C

anad

a32

81,

083

803

1,06

01,

214

1,33

71,

279

1,37

41,

122

1,62

61,

551

Chi

naN

NN

8125

032

138

248

250

757

062

0

Cze

ch R

epub

lica

5914

918

117

317

420

826

332

136

834

842

8

Fran

ce98

82,

694

2,61

23,

188

3,17

53,

051

3,14

82,

259

2,60

32,

676

2,88

3G

erm

any

1,80

23,

829

3,75

84,

677

4,09

44,

360

4,54

04,

678

5,34

85,

310

4,80

3In

dia

2242

4217

923

733

039

641

038

451

951

4Ita

ly69

41,

701

1,25

71,

633

1,34

11,

422

1,31

81,

563

1,40

21,

410

1,42

2Ja

pan

250

3,71

86,

974

9,75

37,

802

7,61

17,

864

8,49

18,

056

8,10

08,

363

Sou

th K

orea

NN

691,

158

1,80

62,

003

2,26

52,

308

1,62

52,

362

2,60

2M

alay

sia

NN

N10

213

716

417

628

012

620

028

0M

exic

oN

154

355

720

857

699

798

855

953

994

1,13

0N

ethe

rland

s13

7878

8592

100

145

197

243

262

215

Pol

and

1486

248

168

349

347

353

295

460

651

533

Por

tuga

lN

NN

N38

4111

918

618

118

719

1R

oman

iaN

NN

8485

7176

108

104

8858

Rus

sia

149

518

1,32

41,

308

796

838

868

982

U94

696

6S

pain

5545

385

51,

943

1,97

42,

131

2,21

32,

342

2,21

72,

029

2,44

5S

wed

en11

028

725

826

935

338

836

837

636

838

526

0Ta

iwan

NN

N26

629

128

226

526

829

325

526

5Tu

rkey

N13

2519

621

323

320

824

3U

U29

7U

nite

d K

ingd

om1,

004

1,74

295

51,

237

1,46

71,

532

1,68

61,

698

1,74

81,

787

1,62

9U

nite

d S

tate

s5,

522

8,58

46,

253

5,43

96,

614

6,35

16,

083

5,92

75,

554

5,63

85,

542

Yugo

slav

ia, F

eder

al R

epub

lic o

f15

114

240

213

88

911

UU

U

Con

tinue

d ne

xt p

age

Page 53: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

34 � Chapter 1: The Transportation System

Co

mm

erci

al v

ehic

lesc

1961

1971

1981

1991

1994

1995

1996

1997

1998

1999

2000

TOTA

L w

orl

d3,

809

6,94

89,

729

11,9

9613

,952

13,9

2614

,147

14,9

8814

,811

16,1

3216

,796

U.S

. per

cen

t o

f w

orl

d 3

0 3

0 1

7 2

8 4

0 4

0 4

0 4

1 4

4 4

6 4

3

Arg

entin

a58

6033

2570

5944

8010

580

101

Aus

tral

ia49

7740

1531

1719

2934

1725

Aus

tria

56

86

39

910

1216

25B

elgi

um1

1741

8470

8269

7487

7412

1B

razi

l47

174

374

255

334

332

346

388

329

242

323

Can

ada

6327

752

082

91,

106

1,07

11,

118

1,19

81,

050

1,43

01,

411

Chi

naN

NN

628

1,10

31,

114

1,08

41,

096

1,12

11,

235

1,38

9

Cze

ch R

epub

lica

1728

4929

68

947

4227

27

Fran

ce21

731

640

842

338

342

444

332

235

135

746

9G

erm

any

411

312

358

358

262

307

303

345

379

378

395

Indi

a32

4710

717

623

830

636

633

612

926

128

2Ita

ly65

116

176

245

194

245

227

254

290

291

316

Japa

n78

92,

093

4,20

63,

492

2,75

22,

585

2,48

22,

484

1,99

41,

805

1,78

1S

outh

Kor

eaN

N65

340

506

523

548

510

329

471

513

Mal

aysi

aN

NN

00

00

07

515

Mex

ico

N57

242

269

266

236

422

503

500

540

792

Net

herla

nds

613

1226

2332

1920

2825

52P

olan

d22

6060

2516

3448

2739

4424

Por

tuga

lN

NN

2687

1613

8190

6556

Rom

ania

NN

N10

522

2321

2319

14R

ussi

a40

661

287

474

420

615

613

619

2U

226

237

Spa

in20

7913

213

916

820

319

922

060

964

458

7S

wed

en22

3055

7582

102

9510

411

410

936

Taiw

anN

NN

116

132

124

101

113

112

9510

0Tu

rkey

N12

2246

3149

6910

2U

U13

3U

nite

d K

ingd

om44

345

623

021

722

823

323

823

823

318

618

9U

nite

d S

tate

s1,

131

2,08

81,

690

3,37

25,

649

5,63

55,

716

6,19

26,

452

7,38

77,

228

Yugo

slav

ia, F

eder

al R

epub

lic o

f5

1827

262

21

2U

UU

TABL

E 1-

22: W

orld

Mot

or V

ehic

le P

rodu

ctio

n, S

elec

ted

Coun

tries

(Tho

usan

ds) (

Cont

inue

d)

Page 54: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Vehicle, Aircraft, and Vessel Inventory � 35

Tota

l

1961

1971

1981

1991

1994

1995

1996

1997

1998

1999

2000

TOTA

L w

orl

d15

,200

33,4

0137

,136

47,2

8349

,681

50,0

3751

,465

53,4

6352

,098

54,9

4857

,528

U.S

. per

cen

t o

f w

orl

d 4

4 3

2 2

1 1

9 2

5 2

4 2

3 2

3 2

3 2

4 2

2

Arg

entin

a13

625

317

213

940

928

631

344

645

830

534

0A

ustr

alia

231

470

392

284

354

331

322

349

384

311

348

Aus

tria

137

1520

4868

106

108

103

139

141

Bel

gium

129

625

733

747

946

843

743

040

629

11,

033

Bra

zil

145

516

780

960

1,58

21,

629

1,80

52,

067

1,57

31,

344

1,67

1C

anad

a39

11,

360

1,32

31,

889

2,32

02,

408

2,39

72,

571

2,17

33,

057

2,96

2C

hina

NN

N70

91,

353

1,43

51,

466

1,57

81,

628

1,80

52,

009

Cze

ch R

epub

lica

7617

723

020

218

021

627

236

941

137

645

5

Fran

ce1,

205

3,01

03,

020

3,61

13,

558

3,47

53,

591

2,58

12,

954

3,03

33,

352

Ger

man

y2,

213

4,14

14,

116

5,03

54,

356

4,66

74,

843

5,02

35,

727

5,68

85,

198

Indi

a54

8914

935

547

563

676

274

651

378

079

6Ita

ly75

91,

817

1,43

31,

878

1,53

41,

667

1,54

51,

817

1,69

31,

701

1,73

8Ja

pan

1,03

95,

811

11,1

8013

,245

10,5

5410

,196

10,3

4610

,975

10,0

509,

905

10,1

45S

outh

Kor

eaN

N13

41,

498

2,31

22,

526

2,81

32,

818

1,95

42,

832

3,11

5M

alay

sia

NN

N10

213

716

417

628

013

420

529

5M

exic

oN

211

597

989

1,12

393

51,

220

1,35

81,

453

1,53

41,

923

Net

herla

nds

1991

9011

111

513

216

421

827

128

726

7P

olan

d36

146

308

193

365

381

401

322

499

695

556

Por

tuga

lN

NN

2612

557

132

267

271

252

247

Rom

ania

NN

N94

9093

9912

912

710

772

Rus

sia

555

1,13

02,

198

2,05

21,

002

994

1,00

41,

174

U1,

172

1,20

3S

pain

7553

298

72,

082

2,14

22,

334

2,41

22,

562

2,82

62,

672

3,03

3S

wed

en13

231

731

334

443

549

046

348

048

349

429

6Ta

iwan

NN

N38

242

340

636

638

140

535

036

5Tu

rkey

N25

4724

224

428

227

734

4U

U43

1U

nite

d K

ingd

om1,

447

2,19

81,

185

1,45

41,

695

1,76

51,

924

1,93

61,

981

1,97

31,

817

Uni

ted

Sta

tes

6,65

310

,672

7,94

38,

811

12,2

6311

,986

11,7

9912

,119

12,0

0613

,025

12,7

71Yu

gosl

avia

, Fed

eral

Rep

ublic

of

2013

226

723

99

1010

14U

UU

KE

Y: N

= d

ata

do n

ot e

xist

; U =

dat

a ar

e no

t ava

ilabl

e.

aFo

rmer

ly C

zech

oslo

vaki

a.b

Doe

s no

t in

clud

e m

iniv

ans,

pic

kups

, and

spo

rt u

tilit

y ve

hicl

es.

cIn

clud

es a

ll tr

ucks

and

bus

es. L

ight

tru

cks,

suc

h as

pic

kups

, spo

rt u

tilit

y ve

hicl

es, a

nd m

iniv

ans

are

incl

uded

und

er c

omm

erci

al v

ehic

les.

NO

TE

SPr

ior

to 2

000,

the

cou

ntry

of m

anuf

actu

re w

as r

ecog

nize

d as

the

prod

ucin

g co

untr

y. T

o co

nfor

m w

ith

curr

ent O

ICA

(Int

erna

tion

al O

rgan

izat

ion

of M

otor

V

ehic

le M

anuf

actu

rers

) pr

acti

ces,

sta

rtin

g in

200

0, t

he c

ount

ry o

f fi

nal a

ssem

bly

was

rec

ogni

zed

as t

he p

rodu

cing

cou

ntry

. Thi

s ex

plai

ns t

he s

udde

n ch

ange

in t

rend

s ac

ross

som

e co

untr

ies

from

199

9 to

200

0.N

umbe

rs m

ay n

ot a

dd t

o to

tal d

ue t

o ro

undi

ng.

SOU

RC

EW

ard’

s, M

otor

Veh

icle

Fac

ts &

Fig

ures

200

1 (S

outh

fiel

d, M

I: 2

001)

, p. 1

2 an

d si

mila

r ta

bles

in p

revi

ous

edit

ions

.

TABL

E 1-

22: W

orld

Mot

or V

ehic

le P

rodu

ctio

n, S

elec

ted

Coun

tries

(Tho

usan

ds) (

Cont

inue

d)

Page 55: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

36 � Chapter 1: The Transportation SystemTA

BLE

1-23

: Num

ber a

nd S

ize

of th

e U.

S. F

lag

Mer

chan

t Fle

et a

nd It

s Sh

are

of th

e W

orld

Fle

et

(Oce

ango

ing

ship

s of

1,0

00 g

ross

tons

and

ove

r)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Wo

rld

fle

et17

,317

18,3

2919

,980

22,8

7224

,867

25,5

5523

,596

25,6

0826

,858

27,5

5727

,825

28,2

5928

,318

28,2

96

U.S

. fle

et2,

926

2,37

61,

579

857

864

737

636

509

495

477

470

463

454

443

U.S

. sh

are

of

the

wo

rld

fle

et17

%13

%8%

4%3%

3%3%

2%2%

2%2%

2%2%

2%

Fre

igh

ters

, to

tal

2,13

81,

747

1,07

651

147

141

736

729

529

228

828

928

428

628

3D

eadw

eigh

t ton

s (D

WT)

(t

hous

ands

)21

,877

18,1

2711

,733

7,05

16,

885

7,35

37,

265

6,51

76,

419

6,45

86,

732

6,69

66,

680

6,63

5

Gen

eral

car

goa

NN

N35

625

920

916

614

214

614

214

013

713

613

2D

WT

(th

ousa

nds)

NN

N4,

640

3,32

92,

980

2,60

52,

472

2,46

72,

420

2,40

02,

404

2,36

22,

162

Con

tain

ersh

ipN

NN

109

121

104

9281

8385

9189

9091

DW

T (

thou

sand

s)N

NN

1,77

32,

289

2,65

12,

856

2,60

02,

639

2,74

33,

096

3,05

63,

058

3,20

0

Par

tial c

onta

iner

ship

sN

NN

3768

6359

31

1N

NN

ND

WT

(th

ousa

nds)

NN

N51

094

090

483

657

1717

NN

NN

RO

/RO

NN

N9

2341

5069

6260

5858

6060

DW

T (

thou

sand

s)N

NN

128

327

818

968

1,38

81,

296

1,27

81,

236

1,23

61,

260

1,27

3

Tan

kers

, to

tal

422

341

294

267

308

258

233

181

173

161

154

154

142

130

DW

T (

tho

usa

nd

s)7,

815

7,56

17,

739

9,71

116

,152

15,5

3415

,641

11,0

2810

,378

9,69

69,

289

9,37

38,

447

7,53

2

Pet

role

um/c

hem

ical

shi

psb

NN

NN

N24

421

916

715

914

814

514

614

213

0D

WT

(th

ousa

nds)

NN

NN

N14

,574

14,6

8110

,123

9,47

38,

857

8,73

78,

845

8,44

77,

532

Liqu

efie

d pe

trol

eum

/nat

ural

gas

shi

psN

NN

NN

1414

1414

139

8N

N

DW

T (

thou

sand

s)N

NN

NN

960

960

905

905

839

552

528

NN

Com

bina

tion/

pass

enge

r a

nd c

argo

, tot

al30

922

717

160

6537

1013

1514

1211

1113

DW

T (

tho

usa

nd

s)2,

070

1,48

81,

107

388

446

299

9111

513

913

611

699

9910

5

Bu

lk c

arri

ers,

to

tal

5761

3819

2025

2620

1514

1514

1517

DW

T (

tho

usa

nd

s)80

51,

107

767

544

607

1,15

21,

270

925

575

321

604

579

604

706

KE

Y: N

= d

ata

do n

ot e

xist

; RO

/RO

= r

oll-o

n/ro

ll-of

f ves

sels

.

aIn

clud

es b

arge

car

rier

s.b

Incl

udes

inte

grat

ed t

ug/b

arge

s.

NO

TE

SE

xclu

des

nonm

erch

ant

type

and

/or

U.S

. Nav

y-ow

ned

vess

els

curr

entl

y in

the

Nat

iona

l Def

ense

Res

erve

Fle

et.

Exc

lude

s sh

ips

oper

atin

g ex

clus

ivel

y on

the

Gre

at L

akes

and

inla

nd w

ater

way

s an

d sp

ecia

l typ

es s

uch

as: c

hann

el s

hips

, ice

brea

kers

, cab

le s

hips

, and

mer

chan

t sh

ips

owne

d by

mili

tary

for

ces.

All

data

are

as

of D

ecem

ber

31 o

f ye

ar s

how

n.

SOU

RC

ES

1960

-200

0: U

.S. D

epar

tmen

t of T

rans

port

atio

n, M

ariti

me

Adm

inis

trat

ion,

Mer

chan

t Fle

ets

of t

he W

orld

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), a

nd u

npub

lishe

d re

visi

ons.

2001

: U.S

. Dep

artm

ent

of T

rans

port

atio

n, M

arit

ime

Adm

inis

trat

ion,

per

sona

l com

mun

icat

ion,

Aug

. 27,

200

2.

Page 56: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter one

Section CCondition

Page 57: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 58: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Condition � 39

TABLE 1-24: U.S. Airport Runway Pavement Conditions

1986 1990 1993 1997 1999 2000 2001

NPIASa airports, total 3,243 3,285 3,294 3,331 3,344 3,361 3,364

Condition, percentGood 61 61 68 72 72 73 73

Fair 28 29 25 23 23 22 22Poor 11 10 7 5 5 5 5

Commercial service airportsb, total 550 568 554 566 547 546 546

Condition, percentGood 78 78 79 79 78 79 79Fair 15 17 18 19 20 19 19

Poor 7 5 3 2 R2 2 2

KEY: NPIAS = National Plan of Integrated Airport Systems.

a The U.S. Department of Transportation, Federal Aviation Administration’s (FAA’s) National Plan of Inte-grated Airport Systems is composed of all commercial service airports, all reliever airports, and selected gen-eral aviation airports. It does not include over 1,000 publicly owned public-use landing areas, privately owned public-use airports, and other civil landing areas not open to the general public. NPIAS airports account for almost all enplanements. In 2001, there were 15,942 non-NPIAS airports. See table 1-3 for more detail on airports.

b Commercial service airports are defined as public airports receiving scheduled passenger service, and having at least 2,500 enplaned passengers per year.

NOTESData are as of January 1 of each year. Runway pavement condition is classified by the FAA as follows:Good: All cracks and joints are sealed.Fair: Mild surface cracking, unsealed joints, and slab edge spalling.Poor: Large open cracks, surface and edge spalling, vegetation growing through cracks and joints.

SOURCESCondition1986-90: U.S. Department of Transportation, Federal Aviation Administration, National Plan of Integrated Air-

port Systems (Washington DC: 1991).1993: Ibid. (Washington DC: 1995). 1997, 1999-2001: U.S. Department of Transportation, Federal Aviation Administration, Office of Airport Plan-

ning and Programming, National Planning Division, personal communication, 1997, 2000, Aug. 20, 2001, May 27, 2002.

Total number of airports1986-2001: Ibid., June 23, 2000, Aug. 20, 2001, and May 27, 2002.

Page 59: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

40 � Chapter 1: The Transportation System

TABLE 1-25: Median Age of Automobiles and Trucks in Operation in the United States

Year Automobiles Trucks1970 4.9 5.91975 5.4 5.81980 6.0 6.3

1985 6.9 7.61990 6.5 6.51995 7.7 7.6

1996 7.9 7.71997 8.1 7.81998 8.3 7.6

1999 8.3 7.22000 8.3 6.9

NOTEThe National Personal Transportation Survey con-

ducted by the U.S. Department of Transportation, Federal Highway Administration, estimates the mean age of automobiles, trucks, and vans for several years:

1969 1977 1983 1990 1995

Automobiles 5.1 5.5 6.7 7.6 8.2

Trucks N 6.4 7.9 9.0 a8.3

a Includes vans.

KEY: N = data do not exist.

SOURCE The R.L. Polk Co., personal communication, Aug. 9,

2001.

Page 60: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Condition � 41

TABL

E 1-

26: C

ondi

tion

of U

.S. R

oadw

ays

by F

unct

iona

l Sys

tem

1990

19

91

1992

19

93

1994

19

95

1996

19

97

1998

19

99

2000

R

UR

AL

Inte

rsta

tes

Mile

s re

po

rted

33,5

4733

,677

33,0

2729

,089

31,5

0231

,254

31,3

1231

,431

30,4

9832

,820

32,8

88P

oor,

perc

ent

8.7

7.6

5.2

7.0

6.5

6.3

3.9

3.6

4.1

2.4

2.1

Med

iocr

e, p

erce

ntb

b14

.127

.726

.520

.719

.119

.116

.514

.012

.2Fa

ir, p

erce

nt31

.931

.717

.420

.923

.922

.321

.720

.717

.818

.116

.9G

ood,

per

cent

bb

27.6

36.1

33.2

36.9

38.8

41.0

42.6

44.0

44.8

Ver

y go

od, p

erce

nt59

.560

.735

.68.

39.

913

.916

.615

.719

.021

.523

.9U

npav

ed, p

erce

ntN

NN

NN

NN

NN

NN

Mile

s n

ot

rep

ort

edN

NN

3,56

395

51,

326

1,50

81,

382

2,31

315

316

2

Oth

er p

rin

cip

al a

rter

ials

Mile

s re

po

rted

83,8

0285

,729

94,7

9878

,296

89,5

0689

,265

92,1

0392

,170

93,3

3397

,247

97,2

84P

oor,

perc

ent

3.4

3.6

3.3

2.9

2.4

4.4

1.4

1.6

1.4

0.9

0.8

Med

iocr

e, p

erce

ntb

b5.

99.

28.

27.

65.

84.

94.

63.

73.

2Fa

ir, p

erce

nt42

.644

.534

.654

.857

.451

.149

.147

.743

.341

.538

.7

Goo

d, p

erce

ntb

b28

.526

.726

.627

.934

.4R

37.2

38.3

40.5

42.9

Ver

y go

od, p

erce

nt53

.851

.927

.66.

45.

49.

09.

38.

612

.313

.514

.4U

npav

ed, p

erce

ntN

NN

NN

NN

NN

NN

Mile

s n

ot

rep

ort

edN

NN

17,9

057,

489

8,68

36,

028

6,08

35,

524

1,58

71,

625

Min

or

arte

rial

sM

iles

rep

ort

ed14

4,73

514

2,86

613

7,63

713

4,83

712

4,87

712

1,44

312

6,38

112

6,52

513

0,59

113

5,19

213

6,09

2P

oor,

perc

ent

4.6

4.3

3.9

3.9

3.5

3.7

2.3

2.3

1.9

1.7

1.7

Med

iocr

e, p

erce

ntb

b7.

19.

110

.59.

08.

26.

76.

05.

25.

3Fa

ir, p

erce

nt48

.247

.336

.453

.557

.954

.750

.750

.447

.247

.346

.2

Goo

d, p

erce

ntb

b25

.325

.023

.623

.931

.033

.634

.334

.435

.6V

ery

good

, per

cent

47.2

48.4

26.8

8.5

4.5

8.7

7.7

7.0

10.6

11.4

11.2

Unp

aved

, per

cent

——

NN

NN

NN

NN

N

Mile

s n

ot

rep

ort

edN

NN

12,7

4013

,294

15,7

08R

10,9

7810

,978

6,66

41,

968

1,22

7

Con

tinue

d ne

xt p

age

Page 61: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

42 � Chapter 1: The Transportation System

Maj

or

colle

cto

rsM

iles

rep

ort

ed43

6,36

543

6,73

743

4,17

543

2,22

343

1,11

143

1,71

243

2,11

738

6,12

2R

171,

134

163,

544

388,

485

Poo

r, pe

rcen

t8.

97.

77.

86.

86.

56.

56.

77.

8R

8.8

9.3

8.5

Med

iocr

e, p

erce

ntb

b11

.012

.411

.311

.410

.312

.3R

13.0

12.1

12.7

Fair,

per

cent

43.8

45.2

32.3

37.7

33.5

30.8

R34

.437

.6R

33.5

33.2

43.7

Goo

d, p

erce

ntb

b17

.716

.316

.117

.420

.023

.0R

21.3

20.9

22

Ver

y go

od, p

erce

nt36

.236

.120

.415

.921

.923

.718

.419

.3R

23.4

24.5

13.2

Unp

aved

, per

cent

11.1

11.0

10.7

10.9

10.7

10.2

10.1

NN

NN

Mile

s n

ot

rep

ort

eda

NN

NN

NN

N2,

402

R21

7,56

6U

U

UR

BA

NIn

ters

tate

sM

iles

rep

ort

ed11

,527

11,6

0312

,466

10,7

3812

,338

12,3

0712

,430

12,4

7712

,231

13,1

0913

,139

Poo

r, pe

rcen

t8.

67.

77.

110

.613

.010

.48.

69.

09.

47.

36.

5M

edio

cre,

per

cent

bb

13.2

30.9

29.9

26.8

28.3

27.0

25.5

23.1

21.7

Fair,

per

cent

32.2

32.3

17.0

23.6

24.2

23.8

24.7

24.4

21.8

22.6

21.4

Goo

d, p

erce

ntb

b28

.028

.326

.727

.530

.732

.932

.034

.937

.1

Ver

y go

od, p

erce

nt59

.160

.034

.76.

56.

211

.47.

66.

711

.412

.013

.3

Unp

aved

, per

cent

NN

NN

NN

NN

NN

NM

iles

no

t re

po

rted

NN

N2,

140

788

857

787

771

1,04

023

022

6

Oth

er f

reew

ays

and

exp

ress

way

sM

iles

rep

ort

ed7,

670

7,71

48,

465

7,01

17,

618

7,80

48,

410

8,48

08,

772

8,86

08,

794

Poo

r, pe

rcen

t2.

22.

32.

63.

85.

34.

83.

43.

33.

22.

62.

8M

edio

cre,

per

cent

bb

5.9

9.4

12.7

9.8

8.7

8.7

8.7

8.0

8.1

Fair,

per

cent

43.9

44.2

L32

.460

.658

.154

.754

.758

.554

.353

.650

.6G

ood,

per

cent

bb

28.1

22.7

20.9

20.4

26.3

25.2

27.1

30.0

31.6

Ver

y go

od, p

erce

nt53

.953

.531

.03.

52.

910

.36.

84.

26.

66.

86.

8U

npav

ed, p

erce

ntN

NN

NN

NN

NN

NN

Mile

s n

ot

rep

ort

edN

NN

1,84

61,

377

1,16

6R

617

579

397

281

355

TABL

E 1-

26: C

ondi

tion

of U

.S. R

oadw

ays

by F

unct

iona

l Sys

tem

(Con

tinue

d)

1990

19

91

1992

19

93

1994

19

95

1996

19

97

1998

19

99

2000

Page 62: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Condition � 43

Oth

er p

rin

cip

al a

rter

ials

Mile

s re

po

rted

51,9

8752

,349

52,1

6530

,337

38,5

9841

,444

44,4

9845

,009

44,8

8648

,045

47,7

97P

oor,

perc

ent

5.9

6.6

6.8

9.2

12.5

12.4

11.8

12.1

12.9

12.5

13.2

Med

iocr

e, p

erce

ntb

b11

.513

.316

.314

.714

.114

.618

.518

.116

.8

Fair,

per

cent

49.0

49.1

34.8

55.0

50.8

47.2

48.9

49.5

45.3

45.2

45.1

Goo

d, p

erce

ntb

b21

.419

.316

.615

.917

.517

.817

.618

.819

.4

Ver

y go

od, p

erce

nt45

.144

.325

.33.

33.

89.

77.

76.

05.

85.

45.

4

Unp

aved

, per

cent

NN

NN

NN

NN

NN

NM

iles

no

t re

po

rted

NN

N22

,498

14,4

9211

,352

8,48

58,

209

8,24

65,

154

5,51

8

Min

or

arte

rial

sM

iles

rep

ort

ed74

,656

74,9

7980

,368

86,8

1987

,852

88,5

1089

,020

88,4

84R

45,2

7543

,481

88,3

39

Poo

r, pe

rcen

t8.

97.

47.

97.

96.

76.

76.

97.

2R

5.7

5.8

10.0

Med

iocr

e, p

erce

ntb

b14

.313

.812

.313

.613

.013

.012

.211

.716

.0

Fair,

per

cent

48.5

49.9

34.1

40.2

38.1

36.9

37.9

37.9

R36

.035

.339

.8

Goo

d, p

erce

ntb

b19

.218

.420

.520

.420

.721

.4R

22.1

20.5

16.9

Ver

y go

od, p

erce

nt42

.142

.124

.019

.422

.122

.121

.120

.6R

24.0

26.8

17.3

Unp

aved

, per

cent

0.5

0.6

0.5

0.4

0.3

0.3

0.4

NN

NN

Mile

s n

ot

rep

ort

edb

NN

NN

NN

N37

4R

43,4

35U

U

Con

tinue

d ne

xt p

age

TABL

E 1-

26: C

ondi

tion

of U

.S. R

oadw

ays

by F

unct

iona

l Sys

tem

(Con

tinue

d)

1990

19

91

1992

19

93

1994

19

95

1996

19

97

1998

19

99

2000

Page 63: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

44 � Chapter 1: The Transportation System

Co

llect

ors

Mile

s re

po

rted

78,2

4877

,097

82,6

5784

,856

86,0

9887

,331

87,7

9086

,666

R53

,806

52,0

0286

,026

Poo

r, pe

rcen

t16

.511

.210

.510

.69.

89.

79.

710

.6R

8.1

9.0

14.7

Med

iocr

e, p

erce

ntb

b16

.916

.816

.216

.816

.616

.0R

12.8

13.0

17.4

Fair,

per

cent

50.4

53.5

35.2

40.0

40.0

39.0

39.2

39.0

R39

.437

.435

.7

Goo

d, p

erce

ntb

b17

.316

.117

.017

.218

.218

.4R

18.8

17.2

14.2

Ver

y go

od, p

erce

nt31

.734

.219

.115

.516

.016

.615

.415

.9R

20.9

23.4

18

Unp

aved

, per

cent

1.3

1.1

1.1

1.0

0.9

0.8

0.9

NN

NN

Mile

s n

ot

rep

ort

edb

NN

NN

NN

N66

3R

32,9

21U

U

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e; —

= v

alue

too

smal

l to

repo

rt.

aT

he in

crea

se in

mile

s no

t rep

orte

d ca

n be

att

ribu

ted

to t

he f

act

that

man

y st

ates

are

ele

ctin

g to

rep

ort p

avem

ent c

ondi

tion

s by

the

mor

e ob

ject

ive

Inte

rnat

iona

l R

ough

ness

Ind

icat

or (

IRI)

rat

her

than

by

the

Pres

ent

Serv

icea

bilit

y R

atin

g (P

SR),

whi

ch h

as t

radi

tion

ally

bee

n us

ed t

o de

term

ine

pave

men

t co

ndit

ions

for

th

ese

syst

ems.

bIn

clud

ed in

row

bel

ow.

NO

TE

SB

ecau

se o

f th

e tr

ansi

tion

to

a ne

w in

dica

tor

for

pave

men

t co

ndit

ion

begi

nnin

g w

ith

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n (F

HW

A)

data

pub

lishe

d in

199

3, c

ompa

riso

ns b

etw

een

pre-

1993

dat

a an

d 19

93 a

nd la

ter

data

are

dif

ficu

lt. T

hus,

tre

nd c

ompa

riso

ns s

houl

d be

mad

e w

ith

care

. For

add

itio

nal i

nfor

mat

ion,

the

rea

der

is r

efer

red

to t

he a

ccur

acy

prof

ile f

or t

his

tabl

e in

the

app

endi

x. T

otal

mile

age

in t

his

tabl

e w

ill n

ot m

atch

tha

t in

ta

ble

1-5

beca

use

of a

cha

nge

in t

he m

etho

d of

cre

atin

g m

ileag

e-ba

sed

tabl

es d

eriv

ed f

rom

the

Hig

hway

Per

form

ance

Mon

itor

ing

Syst

em, b

egin

ning

wit

h th

e 19

97 is

sue

of F

HW

A's

Hig

hway

Sta

tist

ics

Dat

a ar

e fo

r th

e 50

sta

tes

and

the

Dis

tric

t of

Col

umbi

a.Pe

rcen

ts m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

ES

1990

-92:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le H

M-6

3.19

93-9

8, 2

000:

Ibi

d., t

able

HM

-63

for

rura

l maj

or c

olle

ctor

, urb

an m

inor

art

eria

l, an

d ur

ban

colle

ctor

, and

tab

le H

M-6

4 fo

r al

l oth

er c

ateg

orie

s.19

99: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

per

sona

l com

mun

icat

ion,

Jun

e 5,

200

2.

TABL

E 1-

26: C

ondi

tion

of U

.S. R

oadw

ays

by F

unct

iona

l Sys

tem

(Con

tinue

d)

1990

19

91

1992

19

93

1994

19

95

1996

19

97

1998

19

99

2000

Page 64: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Condition � 45

TABL

E 1-

27: C

ondi

tion

of U

.S. H

ighw

ay B

ridge

s

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

Urb

an b

ridge

s10

8,77

011

2,36

311

5,31

211

7,48

812

1,14

112

2,53

712

4,95

012

7,63

312

8,31

213

0,33

913

3,38

413

3,40

1

Rur

al b

ridge

s46

3,43

546

1,67

345

6,88

545

6,22

845

5,31

945

8,59

845

6,91

345

5,11

845

4,66

445

5,20

345

6,29

045

6,28

4To

tal

572,

205

574,

036

572,

197

573,

716

576,

460

581,

135

581,

863

582,

751

582,

976

585,

542

589,

674

589,

685

Urb

an d

efic

ien

t b

rid

ges

Str

uctu

rally

16

,847

17,0

3216

,323

15,9

3215

,692

15,2

0515

,094

14,8

4614

,073

12,9

6712

,695

12,7

05F

unct

iona

lly

30,2

6630

,842

26,2

4326

,511

27,0

2427

,487

28,0

8726

,865

27,5

8829

,065

29,3

9829

,383

Tota

l47

,113

47,8

7442

,566

42,4

4342

,716

42,6

9243

,181

41,7

1141

,661

42,0

3242

,093

42,0

88

Ru

ral d

efic

ien

t b

rid

ges

Str

uctu

rally

12

1,01

811

7,50

210

2,37

596

,048

91,9

9189

,112

86,4

2483

,629

78,9

9975

,183

70,8

8170

,890

Fun

ctio

nally

70

,089

66,7

5154

,150

53,4

8952

,808

53,4

6353

,121

50,5

4551

,912

52,8

3552

,112

52,0

56To

tal

191,

107

184,

253

156,

525

149,

537

144,

799

142,

575

139,

545

134,

174

130,

911

128,

018

122,

993

122,

946

All

def

icie

nt

bri

dg

esS

truc

tura

lly

137,

865

134,

534

118,

698

111,

980

107,

683

104,

317

101,

518

98,4

7593

,072

88,1

5083

,576

83,5

95

Fun

ctio

nally

10

0,35

597

,593

80,3

9380

,000

79,8

3280

,950

81,2

0877

,410

79,5

0081

,900

81,5

1081

,439

Tota

l23

8,22

023

2,12

719

9,09

119

1,98

018

7,51

518

5,26

718

2,72

617

5,88

517

2,57

217

0,05

016

5,08

616

5,03

4

NO

TE

SSt

ruct

ural

ly d

efic

ient

bri

dges

are

def

ined

as

thos

e ne

edin

g si

gnif

ican

t m

aint

enan

ce a

tten

tion

, reh

abili

tati

on, o

r re

plac

emen

t.Fu

ncti

onal

ly d

efic

ient

bri

dges

are

def

ined

as

thos

e th

at d

o no

t ha

ve t

he la

ne w

idth

s, s

houl

der

wid

ths,

or

vert

ical

cle

aran

ces

adeq

uate

to

serv

e tr

affi

c de

man

d, o

r th

e br

idge

may

not

be

able

to

hand

le o

ccas

iona

l roa

dway

flo

odin

g.

Tabl

e in

clud

es: R

ural

–Int

erst

ate,

pri

ncip

al a

rter

ial,

min

or a

rter

ial,

maj

or c

olle

ctor

, min

or c

olle

ctor

and

loca

l roa

ds; U

rban

–Int

erst

ate,

oth

er f

reew

ays

or e

xpre

ss-

way

s, o

ther

pri

ncip

al a

rter

ial,

min

or a

rter

ial,

colle

ctor

, and

loca

l roa

ds.

Dat

a fo

r 19

90, 1

992,

199

7-99

, and

200

1 ar

e as

of

Dec

embe

r of

tho

se y

ears

; dat

a fo

r 19

91 a

nd 1

994-

96 a

re a

s of

Jun

e of

tho

se y

ears

; dat

a fo

r 19

93 a

re a

s of

Se

ptem

ber

of t

hat

year

; dat

a fo

r 20

00 a

re a

s of

Aug

ust

of t

hat

year

.

SOU

RC

ES

1990

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Off

ice

of B

ridg

e Te

chno

logy

, Nat

iona

l Bri

dge

Inve

ntor

y D

atab

ase,

per

sona

l co

mm

unic

atio

n, A

ug. 1

4, 2

001.

20

01: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Off

ice

of B

ridg

e T

echn

olog

y, N

atio

nal B

ridg

e In

vent

ory

Dat

abas

e, C

ount

of

Bri

dges

by

Hig

hway

Sys

tem

, Int

erne

t si

te h

ttp:

//ww

w.f

hwa.

dot.

gov/

brid

ge/b

rita

b.ht

m a

s of

Aug

. 28,

200

2.

Page 65: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

46 � Chapter 1: The Transportation System

TABLE 1-28: Average Age of Urban Transit Vehicles (Years)

1985 1990 1995 1996 1997 1998 1999 2000Transit rail

Commuter rail locomotivesa 16.3 15.7 15.9 17.6 17.0 14.7 13.2 13.4

Commuter rail passenger coaches 19.1 17.6 21.4 24.1 21.6 19.4 17.5 16.9

Commuter rail self-propelled passenger cars 12.3 15.9 19.8 21.1 22.3 23.2 24.3 25.4Heavy-rail passenger cars 17.1 16.2 19.3 20.2 21.1 22.0 22.5 22.9Light rail vehicles (streetcars) 20.6 15.2 16.8 16.0 15.9 15.7 15.7 16.1

Transit busb

Articulated 3.4 7.6 10.9 11.5 11.9 11.3 8.6 6.5Full-size 8.1 8.2 8.7 8.8 8.6 8.5 8.4 8.1

Mid-size 5.6 6.6 6.9 6.3 5.8 5.7 5.6 5.6Small 4.8 3.9 4.1 4.1 4.0 4.0 4.1 4.2Trolley U 10.9 13.1 14.0 14.7 14.6 15.6 16.4

OtherVans 3.8 2.8 3.1 3.1 3.0 2.9 3.1 3.1

Ferry boats U 21.7 23.4 25.3 25.4 25.8 25.1 25.6

KEY: U = data are not available.

a Locomotives used in Amtrak intercity passenger services are not included.b Full-size buses have more than 35 seats; mid-size buses have 25-35 seats; small buses have fewer than 25

seats.

SOURCE1985-2000: U.S. Department of Transportation, Federal Transit Administration, National Transit Database

(Washington, DC: Annual issues), table 29 and similar tables in earlier editions.

Page 66: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Condition � 47

TABL

E 1-

29: C

lass

I Ra

ilroa

d Lo

com

otiv

e Fl

eet b

y Ye

ar B

uilt

(Loc

omot

ive

units

)

Year

bu

ilta

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

Tota

l18

,835

18,3

4418

,004

18,1

6118

,505

18,8

1219

,269

19,6

8420

,261

20,2

5620

,028

Bef

ore

1970

5,11

74,

353

4,03

83,

766

3,53

5b

bb

bb

f

1970

-74

3,85

23,

617

3,38

43,

248

3,18

4c 6

,048

c 5,7

83c 5

,529

c 5,5

65c 5

196

f

1975

-79

4,43

24,

375

4,29

24,

352

4,27

54,

254

4,27

44,

219

4,11

64,

000

g 8,5

4119

80-8

42,

837

2,82

62,

784

2,73

02,

625

2,75

42,

735

2,72

82,

723

2,58

12,

411

1985

-89

1,98

91,

985

1,97

01,

968

1,97

11,

890

1,86

61,

829

1,83

01,

779

1,77

5

1990

608

605

604

604

599

d 2,9

65d 2

,959

d 2,9

58d 2

,736

d 2,6

88d 2

,648

1991

583

595

595

594

ee

ee

ee

1992

337

340

339

ee

ee

ee

1993

558

602

ee

ee

ee

1994

781

ee

ee

ee

1995

901

945

983

953

951

973

1996

707

696

708

706

697

1997

742

741

743

745

1998

889

890

890

1999

722

713

2000

635

aD

isre

gard

s ye

ar o

f re

build

ing.

bIn

clud

ed in

197

0-74

cat

egor

y.c

Incl

udes

all

loco

mot

ives

bui

lt b

efor

e 19

75.

dIn

clud

es lo

com

otiv

es b

uilt

bet

wee

n 19

90-9

4.e

Incl

uded

in 1

990

cate

gory

.f

Incl

uded

in 1

975-

79 c

ateg

ory.

gIn

clud

es a

ll lo

com

otiv

es b

uilt

bef

ore

1980

.

SOU

RC

EA

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.

Page 67: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

48 � Chapter 1: The Transportation SystemTA

BLE

1-30

: Age

and

Ava

ilabi

lity

of A

mtra

k Lo

com

otiv

e an

d Ca

r Fle

ets

1972

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Lo

com

oti

ves

Per

cent

ava

ilabl

e fo

r se

rvic

eaN

8783

9384

8888

8888

9089

Ave

rage

age

(ye

ars)

b22

.314

.4 7

.4 7

.012

.013

.914

.412

.012

.612

.811

.2

Pas

sen

ger

an

d o

ther

tra

in c

ars

Per

cent

ava

ilabl

e fo

r se

rvic

eaN

8277

9090

9090

9193

9191

Ave

rage

age

(ye

ars)

b22

.024

.714

.314

.220

.021

.820

.719

.821

.122

.219

.4

KE

Y: N

= d

ata

do n

ot e

xist

.

aY

ear-

end

daily

ave

rage

. Act

ive

unit

s le

ss b

acks

hop

unit

s un

derg

oing

hea

vy m

aint

enan

ce le

ss b

ack-

orde

red

unit

s un

derg

oing

pro

gres

sive

mai

nten

ance

and

run

-ni

ng r

epai

rs.

bY

ear-

end

aver

age.

NO

TE

1972

was

Am

trak

’s f

irst

ful

l fis

cal y

ear

of o

pera

tion

.

SOU

RC

ES

1972

-80:

Am

trak

, Am

trak

Ann

ual R

epor

t (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.19

85-9

9: I

bid.

, Am

trak

Ann

ual R

epor

t, S

tati

stic

al A

ppen

dix

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

2000

: Ibi

d., A

mtr

ak A

nnua

l Rep

ort,

Sta

tist

ical

App

endi

x (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.

Page 68: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Condition � 49

TABLE 1-31: U.S. Flag Vessels by Type and Age (Number of vessels)

Vessel type

Agea Dry cargo Tanker Towboat Passengerc

Offshore support/

crewboatsd Dry barge

Tank/ liquidbargee Totalb

1990–91<6 80 6 132 151 85 2,335 162 2,9516–10 161 38 706 120 318 4,570 316 6,22911–15 212 50 1,029 110 474 7,639 829 10,34316–20 141 35 844 80 144 6,374 750 8,36821–25 82 38 750 65 84 2,607 759 4,385>25 196 86 1,718 188 51 3,372 1,049 6,660

Totalb 900 257 5,210 721 1,168 27,110 3,874 39,342

1992<6 36 5 134 219 93 3,224 296 4,0126–10 73 28 398 198 208 1,783 121 2,82911–15 135 54 1,137 203 567 9,114 902 12,15016–20 73 33 926 169 189 6,696 740 8,85321–25 31 42 716 122 91 2,475 677 4,167>25 124 82 1,874 287 53 3,496 1,123 7,049

Totalb 497 249 5,203 1,201 1,205 26,981 3,864 39,313

1993<6 25 3 135 207 103 3,558 325 4,3566–10 67 22 205 221 107 1,070 68 1,76411–15 135 43 1,221 211 597 8,810 869 11,89416–20 70 33 968 164 218 6,772 791 9,01921–25 41 31 674 129 106 2,904 655 4,543>25 128 73 2,008 311 64 3,713 1,256 7,555

Totalb 470 205 5,219 1,243 1,197 26,982 3,970 39,306

1994<6 46 4 146 157 107 3,630 399 4,4896–10 103 12 151 185 61 1,171 36 1,71911–15 200 36 1,135 123 540 7,903 754 10,69116–20 130 44 966 122 309 6,314 799 8,68421–25 90 32 664 82 130 3,873 638 5,509>25 206 74 2,107 259 86 3,706 1,327 7,765

Totalb 778 202 5,179 928 1,236 26,757 3,966 39,064

1995<6 38 5 168 149 119 3,975 489 4,9436–10 90 8 134 195 58 1,483 46 2,01411–15 168 34 959 133 463 6,387 611 8,76016–20 135 38 988 121 412 6,507 736 8,93921–25 80 29 726 91 141 4,897 697 6,661>25 213 64 2,146 263 92 3,966 1,403 8,148

Totalb 726 178 5,127 954 1,288 27,375 3,985 39,641

1996<6 43 7 205 153 123 5,189 573 6,2936–10 74 8 118 188 61 2,041 87 2,57711–15 141 29 715 142 351 4,505 346 6,22916–20 155 36 1,036 119 460 7,234 840 9,88121–25 79 23 842 87 155 5,416 723 7,325>25 229 62 2,386 290 144 4,766 1,576 9,453

Totalb 713 161 5,177 967 1,274 28,775 4,036 41,104Continued next page

Page 69: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

50 � Chapter 1: The Transportation System

Agea Dry cargo Tanker Towboat Passengerc

Offshore support/

crewboatsd Dry barge

Tank/ liquidbargee Totalb

1997<6 52 8 227 150 122 5,515 519 6,5936–10 66 2 118 187 94 2,582 181 3,23011–15 96 27 396 152 223 1,800 137 2,83116–20 183 36 1,173 131 588 8,943 928 11,98221–25 84 21 918 102 177 5,772 727 7,801>25 209 53 2,332 302 159 4,284 1,477 8,816

Totalb 692 147 5,173 1,025 1,369 29,040 3,971 41,419

1998<6 56 12 247 150 163 5,877 485 6,9916–10 55 3 124 168 105 3,117 267 3,83911–15 105 19 196 166 111 1,113 72 1,78216–20 179 31 1,198 129 634 8,591 865 11,62621–25 88 22 979 106 211 5,909 763 8,076>25 230 48 2,487 292 195 4,817 1,499 9,573

Totalb 714 135 5,237 1,011 1,423 29,557 3,952 42,032

1999<6 60 12 302 144 245 6,640 565 7,9686–10 49 3 140 146 114 3,192 298 3,94311–15 97 12 146 183 61 1,231 39 1,76916–20 146 35 1,101 120 571 7,414 742 10,12921–25 99 30 953 95 283 5,302 760 7,522>25 243 50 2,447 282 191 5,491 1,560 10,267

Totalb 695 142 5,098 970 1,470 29,414 3,973 41,766

2000<6 66 11 325 134 246 6,721 582 8,0856–10 50 4 143 118 106 3,051 329 3,80211–15 113 8 142 178 58 1,565 48 2,11216–20 136 34 929 124 454 5,846 602 8,12521–25 105 30 954 90 332 5,365 712 7,588>25 263 48 2,497 271 214 6,461 1,714 11,470

Totalb 737 135 4,995 918 1,414 29,141 4,011 41,354

a Age is based on the year the vessel was built or rebuilt.b Totals may be greater than sum of columns because of unclassified vessels and vessels of unknown age; fig-

ures include vessels available for operation.c Includes passenger excursion/sightseeing, combination passenger and dry-cargo vessels, and ferries.d In 1992, offshore supply boats were designated as crewboats.e In 1992, tank barges were designated as liquid barges.

SOURCE U.S. Army Corps of Engineers, Waterborne Transportation Lines of the United States, Volume 1, National Sum-

maries (New Orleans, LA: Annual issues), table 4 in 2000 and similar tables in previous years; also available on Internet site www.wrsc.usace.army.mil/ndc/ as of June 25, 2002.

TABLE 1-31: U.S. Flag Vessels by Type and Age (Number of vessels) (Continued)

Vessel type

Page 70: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter one

Section DTravel and Goods

Movement

Page 71: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 72: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 53

TABL

E 1-

32: U

.S. V

ehic

le-M

iles

(Mill

ions

)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

Air

carr

ier,

larg

e ce

rtifi

cate

d,

dom

estic

, all

serv

ices

858

1,13

42,

068

1,94

82,

523

3,04

63,

963

4,62

94,

811

4,91

15,

035

5,33

2R

5,66

4

Gen

eral

avi

atio

na1,

769

2,56

23,

207

4,23

85,

204

4,67

34,

548

3,79

53,

524

3,87

7N

NN

Hig

hw

ay

Pas

seng

er c

arb,

c58

7,01

272

2,69

691

6,70

01,

033,

950

1,11

1,59

61,

246,

798

1,40

8,26

61,

438,

294

1,46

9,85

41,

502,

556

1,54

9,57

71,

569,

100

1,60

1,91

4

Mot

orcy

cleb

hh

2,97

95,

629

10,2

149,

086

9,55

79,

797

9,92

010

,081

10,2

8310

,584

10,4

79

Oth

er 2

-axl

e 4-

tire

vehi

clec

hh

123,

286

200,

700

290,

935

390,

961

574,

571

790,

029

816,

540

850,

739

868,

275

901,

022

924,

018

Truc

kS

ingl

e-un

it 2-

axle

6-

tire

or m

ore

truc

k98

,551

128,

769

27,0

8134

,606

39,8

1345

,441

51,9

0162

,705

64,0

7266

,893

68,0

2170

,304

70,5

83

Com

bina

tion

truc

k28

,854

31,6

6535

,134

46,7

2468

,678

78,0

6394

,341

115,

451

118,

899

124,

584

128,

359

132,

384

135,

208

Bus

4,34

64,

681

4,54

46,

055

6,05

94,

478

5,72

66,

420

6,56

36,

842

7,00

77,

662

7,60

1

Tota

l hig

hw

ayc

R71

8,76

2R

887,

812

1,10

9,72

41,

327,

664

1,52

7,29

5R

1,77

4,82

62,

144,

362

2,42

2,69

62,

485,

848

2,56

1,69

52,

631,

522

2,69

1,05

62,

749,

803

Tran

sit

Mot

or b

usd

1,57

61,

528

1,40

91,

526

1,67

71,

863

2,13

02,

184

2,22

12,

245

2,17

52,

276

P2,

315

Ligh

t rai

l75

4234

2418

1724

3538

4144

49P

53H

eavy

rai

l39

139

540

742

338

545

153

753

754

355

856

657

8P

595

Trol

ley

bus

101

4333

1513

1614

1414

1414

14P

15C

omm

uter

rai

lN

NN

173

179

183

213

238

242

251

260

266

P27

1

Dem

and

resp

onsi

ved

NN

NN

N24

730

650

754

858

567

171

8P

759

Ferr

y bo

atN

NN

Ni

i2

32

33

3P

3O

ther

NN

N15

1515

1634

4350

6369

P71

Tota

l tra

nsi

te2,

143

2,00

81,

883

2,17

62,

287

2,79

13,

242

3,55

03,

650

3,74

63,

794

3,97

2P

4,08

1C

ontin

ued

next

pag

e

Page 73: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

54 � Chapter 1: The Transportation System

Rai

lC

lass

I fre

ight

, tra

in-m

iles

404

421

427

403

428

347

380

458

469

475

475

490

504

Cla

ss I

frei

ght,

car-

mile

s28

,170

29,3

3629

,890

27,6

5629

,277

24,9

2026

,159

30,3

8331

,715

31,6

6032

,657

33,8

5134

,590

Inte

rcity

/Am

trakf

, tra

in-m

iles

209

172

9330

3030

3332

3032

3334

35

Inte

rcity

/Am

trakf

, car

-mile

s2,

208

1,77

569

025

323

525

130

129

227

628

831

234

236

8

Tota

l tra

in-m

ilesg

613

593

520

433

458

377

413

490

499

507

508

524

539

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

.

aA

ll op

erat

ions

oth

er t

han

thos

e op

erat

ing

unde

r 14

CFR

121

and

14

CFR

135

. Dat

a fo

r 19

96 a

re e

stim

ated

usi

ng n

ew in

form

atio

n on

non

resp

onde

nts

and

are

not

com

para

ble

to e

arlie

r ye

ars.

Mile

age

in s

ourc

e is

mul

tipl

ied

by 1

.151

to

conv

ert

to n

auti

cal-

mile

s fo

r 19

85-1

997.

bU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion

(FH

WA

), p

rovi

des

data

sep

arat

ely

for

pass

enge

r ca

r an

d m

otor

cycl

e in

its

annu

al H

igh-

way

Sta

tist

ics

seri

es. H

owev

er, t

he 1

995

sum

mar

y re

port

pro

vide

s up

date

d da

ta f

or p

asse

nger

car

and

mot

orcy

cle

com

bine

d. P

asse

nger

car

fig

ures

in th

is ta

ble

wer

e co

mpu

ted

by U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, by

subt

ract

ing

the

mos

t cu

rren

t m

otor

cycl

e fi

gure

s fr

om t

he a

ggre

-ga

te p

asse

nger

car

and

mot

orcy

cle

figu

res.

cIn

Jul

y 19

97, t

he F

HW

A p

ublis

hed

revi

sed

vehi

cle-

mile

s da

ta f

or t

he h

ighw

ay m

odes

for

man

y ye

ars.

The

maj

or c

hang

e re

flec

ted

the

reas

sign

men

t of

som

e ve

hicl

es f

rom

the

pas

seng

er c

ar c

ateg

ory

to t

he o

ther

2-a

xle

4-ti

re v

ehic

le c

ateg

ory.

Thi

s ca

teg

ory

was

cal

cula

ted

prio

r to

rou

ndin

g.d

Mot

or b

us a

nd d

eman

d re

spon

sive

fig

ures

are

als

o in

clud

ed in

the

bus

fig

ure

for

high

way

.e

Prio

r to

198

5, e

xclu

des

dem

and

resp

onsi

ve a

nd m

ost

rura

l and

sm

alle

r sy

stem

s fu

nded

via

Sec

tion

s 18

and

16(

b)2,

Fed

eral

Tra

nsit

Act

. The

ser

ies

is n

ot c

on-

tinu

ous

betw

een

1980

and

198

5. T

rans

it r

ail m

odes

are

mea

sure

d in

car

-mile

s. C

ar-m

iles

mea

sure

indi

vidu

al v

ehic

le-m

iles

in a

tra

in. A

10-

car

trai

n tr

avel

ing

1 m

ile w

ould

equ

al 1

tra

in-m

ile a

nd 1

0 ca

r-m

iles.

fA

mtr

ak b

egan

ope

rati

ons

in 1

971.

gA

ltho

ugh

both

tra

in-m

iles

and

car-

mile

s ar

e sh

own

for

rail,

onl

y tr

ain-

mile

s ar

e in

clud

ed in

the

tot

al. A

tra

in-m

ile is

the

mov

emen

t of

a t

rain

, whi

ch c

an c

on-

sist

of

mul

tipl

e ve

hicl

es (

cars

), t

he d

ista

nce

of 1

mile

. Thi

s di

ffer

s fr

om a

veh

icle

-mile

, whi

ch is

the

mov

emen

t of

1 v

ehic

le t

he d

ista

nce

of 1

mile

. A 1

0-ve

hicl

e tr

ain

trav

elin

g 1

mile

wou

ld b

e m

easu

red

as 1

tra

in-m

ile a

nd 1

0 ve

hicl

e-m

iles.

Cau

tion

sho

uld

be u

sed

whe

n co

mpa

ring

tra

in-m

iles

wit

h ve

hicl

e m

iles.

h19

60–6

5, m

otor

cycl

e da

ta a

re in

clud

ed in

pas

seng

er c

ar, a

nd o

ther

2-a

xle

4-ti

re v

ehic

le d

ata

incl

uded

in s

ingl

e-un

it 2

-axl

e 6-

tire

or

mor

e tr

uck.

iFe

rry

boat

incl

uded

wit

h ot

her.

TABL

E 1-

32: U

.S. V

ehic

le-M

iles

(Mill

ions

) (C

ontin

ued)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Page 74: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 55

TABL

E 1-

32: U

.S. V

ehic

le-M

iles

(Mill

ions

) (Co

ntin

ued)

SOU

RC

ES

Air

:A

ir c

arri

er:

1960

: Civ

il A

eron

auti

cs B

oard

, Han

dboo

k of

Air

line

Stat

isti

cs 1

969

(Was

hing

ton,

DC

: 197

0), p

art

III,

tab

le 2

.19

65-7

0: I

bid.

, Han

dboo

k of

Air

line

Stat

isti

cs 1

973

(Was

hing

ton,

DC

: 197

4), p

art

III,

tab

le 2

.19

75-8

0: I

bid.

, Air

Car

rier

Tra

ffic

Sta

tist

ics

(Was

hing

ton,

DC

: 197

6, 1

981)

, p. 4

(D

ecem

ber

1976

) an

d p.

2 (

Dec

embe

r 19

81).

1985

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n,

DC

: Ann

ual D

ecem

ber

issu

es),

p. 2

, lin

e 27

plu

s lin

e 50

.G

ener

al a

viat

ion:

1960

-65:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion,

FA

A S

tati

stic

al H

andb

ook

of A

viat

ion

1972

(W

ashi

ngto

n, D

C: 1

973)

, tab

le

9.10

.19

70-7

5: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Avi

atio

n A

dmin

istr

atio

n, F

AA

Sta

tist

ical

Han

dboo

k of

Avi

atio

n 19

76 (

Was

hing

ton,

DC

: 197

6), t

able

8-

5.19

80: U

.S. N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd e

stim

ate,

per

sona

l com

mun

icat

ion,

Dec

. 7, 1

998.

1985

-90:

Ibi

d., G

ener

al A

viat

ion

Act

ivit

y an

d A

vion

ics

Surv

ey (

Was

hing

ton,

DC

: Ann

ual i

ssue

s,)

tabl

e 3.

3.19

95-9

7: I

bid.

, Gen

eral

Avi

atio

n an

d A

ir T

axi A

ctiv

ity

and

Avi

onic

s Su

rvey

(W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le 3

.3.

Hig

hway

:P

asse

nger

car

and

mot

orcy

cle:

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

Int

erne

t si

te h

ttp:

//ww

w.f

hwa.

dot.

gov/

ohim

/sum

mar

y95/

inde

x.ht

ml,

as o

f Ju

ly 2

8, 2

000,

tab

le V

M-2

01A

.19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

, and

Int

erne

t si

te w

ww

.fhw

a.do

t.go

v/oh

im/o

him

stat

.htm

.M

otor

cycl

e:19

70-8

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics,

Sum

mar

y to

198

5 (W

ashi

ngto

n, D

C: 1

986)

, tab

le V

M-

201A

.19

85-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

, and

Int

erne

t si

te w

ww

.fhw

a.do

t.go

v/oh

im/o

him

stat

.htm

.O

ther

2-a

xle

4-ti

re v

ehic

le:

1970

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

Int

erne

t si

te h

ttp:

//ww

w.f

hwa.

dot.

gov/

ohim

/sum

mar

y95/

inde

x.ht

ml,

as o

f Ju

ly 2

8, 2

000,

tab

le V

M-2

01A

.19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

, and

Int

erne

t si

te w

ww

.fhw

a.do

t.go

v/oh

im/o

him

stat

.htm

.Si

ngle

-uni

t 2-

axle

6-t

ires

or

mor

e tr

uck,

com

bina

tion

tru

ck, a

nd b

us:

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

Int

erne

t si

te h

ttp:

//ww

w.f

hwa.

dot.

gov/

ohim

/sum

mar

y95/

inde

x.ht

ml,

as o

f Ju

ly 2

8, 2

000,

tab

le V

M-2

01A

.19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

, and

Int

erne

t si

te w

ww

.fhw

a.do

t.go

v/oh

im/o

him

stat

.htm

.

Tra

nsit

:19

60-2

000:

Am

eric

an P

ublic

Tra

nsit

Ass

ocia

tion

, Pub

lic T

rans

port

atio

n Fa

ct B

ook

(Was

hing

ton,

DC

: 200

2), t

able

42,

84,

and

sim

ilar

tabl

es in

ear

lier

edit

ions

.

Rai

l:C

lass

I r

ail f

reig

ht t

rain

- an

d ca

r-m

iles:

1960

-200

0: A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s 20

00 (

Was

hing

ton,

DC

: 200

1), p

. 33

(tra

in-m

iles)

and

p. 3

4 (c

ar-m

iles)

.In

terc

ity/

Am

trak

tra

in-m

iles:

1960

-70:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Yea

rboo

k of

Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: 197

5), p

. 39.

1975

-200

0: A

mtr

ak, A

mtr

ak A

nnua

l Rep

ort,

Sta

tist

ical

App

endi

x (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.In

terc

ity/

Am

trak

car

-mile

s:19

60-7

5: A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, Y

earb

ook

of R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: 1

975)

, p. 4

0.19

80-2

000:

Am

trak

, Am

trak

Cor

pora

te R

epor

ting

, Rou

te P

rofi

tabi

lity

Syst

em, p

erso

nal c

omm

unic

atio

n, 2

001.

Page 75: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

56 � Chapter 1: The Transportation System

TABLE 1-33: Roadway Vehicle-Miles Traveled (VMT) and VMT per Lane-Mile by Functional Class

1980 1985 1990 1995 1996 1997 1998 1999 2000VMT (millions)UrbanInterstate 161,242 216,188 278,901 R341,528 351,579 361,401 374,622 383,103 393,420

Other arterialsa 484,189 578,270 699,233 R815,170 834,623 846,659 862,994 877,796 899,794

Collector 83,043 89,578 106,297 R126,929 129,310 130,143 131,919 131,549 135,316

Local 126,791 160,062 191,053 205,907 208,374 222,142 228,530 234,507 235,634Total urban 855,265 1,044,098 1,275,484 R1,489,534 1,523,886 1,560,345 1,598,065 1,626,955 1,664,164

RuralInterstate 135,084 154,357 200,173 223,382 232,565 240,255 251,520 260,060 268,850

Other arterialsa 262,774 282,803 330,866 368,595 378,847 392,058 403,484 413,152 420,398

Collectorb 189,468 206,669 240,460 236,148 241,030 254,364 257,858 264,345 267,412

Local 84,704 86,899 97,379 105,164 107,752 114,673 120,595 125,875 127,859Total rural 672,030 730,728 868,878 933,289 960,194 1,001,350 1,033,457 1,063,432 1,084,519

VMT per lane-mile (thousands)UrbanInterstate 3,327 3,773 4,483 R4,784 4,897 R5,002 R5,131 5,229 5,325

Other arterialsa 1,451 1,556 1,751 R1,829 1,857 R1,866 R1,901 1,950 1,977

Collector 572 552 634 686 692 R689 R703 706 718

Local 146 168 184 181 181 R190 R194 198 197

Total urban 613 677 764 R810 820 R829 R845 858 869

RuralInterstate 1,031 1,170 1,473 1,693 1,749 1,804 R1,888 1,939 1,998

Other arterialsa 518 555 640 695 R711 R730 R750 766 779

Collectorb 132 141 164 167 170 179 182 187 189

Local 19 20 23 25 25 27 29 30 30Total rural 103 113 136 148 R152 157 R165 169 172

KEY: R = revised.

a For urban: the sum of other freeways and expressways, other principal arterials, and minor arterials.

For rural: the sum of other principal arterials and minor arterials.b Collector is the sum of major and minor collectors (rural only).

NOTESee table 1-6 for estimated highway lane-miles by functional class.

SOURCES1980-90: U.S. Department of Transportation, Federal Highway Administration, Highway Statistics Summary to

1995, FHWA-PL-97-009 (Washington, DC: July 1997), table VM-202. 1995-98, 2000: U.S. Department of Transportation, Federal Highway Administration, Highway Statistics

(Washington, D7C: Annual issues), table VM-2 and VM-2A.1999: U.S. Department of Transportation, Federal Highway Administration, personal communication, June 5,

2002.

Lane-miles:1980-95: U.S. Department of Transportation, Federal Highway Administration, Office of Highway Information

Management, unpublished data, 1997, table HM-260.1996-98, 2000: U.S. Department of Transportation, Federal Highway Administration, Highway Statistics

(Washington, DC: Annual issues), table HM-60.1999: U.S. Department of Transportation, Federal Highway Administration, personal communication, June 5,

2002.

Page 76: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 57

TABL

E 1-

34: U

.S. P

asse

nger

-Mile

s (M

illio

ns)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

Air

carr

ier,

cert

ifica

ted,

do

mes

tic, a

ll se

rvic

es31

,099

53,2

2610

8,44

213

6,00

020

4,36

827

7,83

634

5,87

340

3,88

843

4,65

245

0,61

246

3,26

248

8,35

7R

516,

129

Gen

eral

avi

atio

na2,

300

4,40

09,

100

11,4

0014

,700

12,3

0013

,000

10,8

0012

,000

12,5

0013

,100

13,5

00U

Tota

l33

,399

57,6

2611

7,54

214

7,40

021

9,06

829

0,13

635

8,87

341

4,68

844

6,65

246

3,11

247

6,36

250

1,85

7U

Hig

hw

ay

Pas

seng

er c

arb,

c1,

144,

673

1,39

4,80

31,

750,

897

1,95

4,16

62,

011,

989

2,09

4,62

12,

281,

391

R2,

286,

887

2,33

7,06

8R

2,38

9,06

5R

2,46

3,82

82,

494,

870

2,54

7,04

4

Mot

orcy

cleb

,cg

g3,

277

6,19

212

,257

11,8

1212

,424

R10

,777

R10

,912

R11

,089

R11

,311

11,6

4211

,527

Oth

er 2

-axl

e 4-

tire

vehi

clec

hh

225,

613

363,

267

520,

774

688,

091

999,

754

R1,

256,

146

R1,

298,

299

R1,

352,

675

R1,

380,

557

1,43

2,62

51,

469,

189

Truc

k

Sin

gle-

unit

2-ax

le 6

-tire

or

mor

e tr

uck

98,5

5112

8,76

927

,081

34,6

0639

,813

45,4

4151

,901

62,7

0564

,072

66,8

9368

,021

70,3

0470

,583

Com

bina

tion

truc

k28

,854

31,6

6535

,134

46,7

2468

,678

78,0

6394

,341

115,

451

118,

899

124,

584

128,

359

132,

384

135,

208

Bus

dN

NN

NN

94,9

2512

1,39

813

6,10

4R

139,

136

145,

060

148,

558

162,

445

161,

152

Tota

lc1,

272,

078

1,55

5,23

72,

042,

002

2,40

4,95

42,

653,

510

3,01

2,95

33,

561,

209

R3,

868,

070

R3,

968,

386

R4,

089,

366

R4,

200,

635

4,30

4,27

04,

394,

703

Tran

sit

Mot

or b

usd

NN

NN

21,7

9021

,161

20,9

8118

,818

19,0

9619

,604

20,3

6021

,205

P21

,241

Ligh

t rai

lN

NN

N38

135

057

186

095

71,

035

1,12

81,

206

P1,

356

Hea

vy r

ail

NN

NN

10,5

5810

,427

11,4

7510

,559

11,5

3012

,056

12,2

8412

,902

P13

,844

Trol

ley

bus

NN

NN

219

306

193

187

184

189

182

186

P19

2

Com

mut

er r

ail

4,19

74,

128

4,59

24,

513

6,51

66,

534

7,08

28,

244

8,35

18,

038

8,70

48,

766

P9,

402

Dem

and

resp

onsi

ved

NN

NN

N36

443

160

765

675

473

581

3P83

9

Fer

ry b

oat

NN

NN

jj

286

260

265

294

294

310

P33

0

Oth

erN

NN

N39

043

912

427

333

936

944

146

9P46

2

Tota

lei 4

,197

i 4,1

28i 4

,592

i 4,5

1339

,854

39,5

8141

,143

39,8

0841

,378

42,3

3944

,128

45,8

57P47

,666

Rai

l

Inte

rcity

/ A

mtr

akf

17,0

6413

,260

6,17

93,

931

4,50

34,

825

6,05

75,

545

5,05

05,

166

5,30

45,

330

5,49

8

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aA

ll op

erat

ions

oth

er t

han

thos

e op

erat

ing

unde

r 14

CFR

121

and

14

CFR

135

.b

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n (F

HW

A),

pro

vide

s da

ta s

epar

atel

y fo

r pa

ssen

ger

car

and

mot

orcy

cle

in it

s an

nual

Hig

h-w

ay S

tati

stic

s se

ries

. How

ever

, the

199

5 su

mm

ary

repo

rt p

rovi

des

upda

ted

data

for

pass

enge

r ca

r an

d m

otor

cycl

e co

mbi

ned.

Pas

seng

er c

ar f

igur

es in

this

tabl

e w

ere

com

pute

d by

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs b

y su

btra

ctin

g th

e m

ost

curr

ent

mot

orcy

cle

figu

res

from

the

agg

re-

gate

pas

seng

er c

ar a

nd m

otor

cycl

e fi

gure

s.c

In J

uly

1997

, FH

WA

pub

lishe

d re

vise

d pa

ssen

ger-

mile

s da

ta f

or t

he h

ighw

ay m

odes

for

a n

umbe

r of

yea

rs. T

he m

ajor

cha

nge

refl

ecte

d th

e re

assi

gnm

ent

of

som

e ve

hicl

es f

rom

the

pas

seng

er c

ar c

ateg

ory

to t

he o

ther

2-a

xle

4-ti

re v

ehic

le c

ateg

ory.

Pas

seng

er-m

iles

for

pass

enge

r ca

r, m

otor

cycl

e, a

nd o

ther

2-a

xle

4-ti

re

vehi

cles

wer

e de

rive

d by

mul

tipl

ying

veh

icle

-mile

s fo

r th

ese

vehi

cles

by

aver

age

vehi

cle

occu

panc

y ra

tes,

pro

vide

d by

the

Nat

ionw

ide

Pers

onal

Tra

nspo

rtat

ion

Surv

ey, 1

977,

198

3, a

nd 1

995.

C

ontin

ued

next

pag

e

Page 77: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

58 � Chapter 1: The Transportation SystemTA

BLE

1-34

: U.S

. Pas

seng

er-M

iles

(Mill

ions

) (Co

ntin

ued)

d M

otor

bus

and

dem

and

resp

onsi

ve f

igur

es a

re a

lso

incl

uded

in t

he b

us f

igur

e fo

r hi

ghw

ay.

e Pr

ior

to 1

985,

exc

lude

s de

man

d re

spon

sive

and

mos

t ru

ral a

nd s

mal

ler

syst

ems

fund

ed v

ia S

ecti

ons

18 a

nd 1

6(b)

2, F

eder

al T

rans

it A

ct. T

he s

erie

s is

not

con

-ti

nuou

s be

twee

n 19

80 a

nd 1

985.

Tra

nsit

rai

l mod

es a

re m

easu

red

in c

ar-m

iles.

Car

-mile

s m

easu

re in

divi

dual

veh

icle

-mile

s in

a tr

ain.

A 1

0-ca

r tr

ain

trav

elin

g 1

mile

wou

ld e

qual

1 t

rain

-mile

and

10

car-

mile

s.f A

mtr

ak b

egan

ope

rati

ons

in 1

971.

Doe

s no

t in

clud

e co

ntra

ct c

omm

uter

pas

seng

ers.

g In

clud

ed in

pas

seng

er c

ar.

h In

clud

ed in

oth

er s

ingl

e-un

it 2

-axl

e 6-

tire

or

mor

e tr

uck.

i Inc

lude

s co

mm

uter

rai

l fig

ures

onl

y.j F

erry

boat

incl

uded

in o

ther

.

NO

TE

SA

ir c

arri

er p

asse

nger

-mile

s ar

e co

mpu

ted

by s

umm

ing

the

prod

ucts

of t

he a

ircr

aft-

mile

s fl

own

on e

ach

inte

rair

port

seg

men

t mul

tipl

ied

by th

e nu

mbe

r of

pas

seng

ers

carr

ied

on t

hat

segm

ent.

Hig

hway

pas

seng

er-m

iles

from

196

0 to

199

4 ar

e ca

lcul

ated

by

mul

tipl

ying

veh

icle

-mile

s of

tra

vel a

s ci

ted

by F

HW

A b

y th

e av

erag

e nu

mbe

r of

occ

upan

ts f

or e

ach

vehi

cle

type

. Ave

rage

veh

icle

occ

upan

cy r

ates

are

bas

ed o

n va

riou

s so

urce

s, s

uch

as t

he N

atio

nwid

e Pe

rson

al T

rans

port

atio

n Su

r-ve

y, c

ondu

cted

by

the

Fede

ral H

ighw

ay A

dmin

istr

atio

n, a

nd t

he T

ruck

Inv

ento

ry a

nd U

se S

urve

y, c

ondu

cted

by

the

Bur

eau

of t

he C

ensu

s. T

rans

it p

asse

nger

-m

iles

are

the

cum

ulat

ive

sum

of

the

dist

ance

s ri

dden

by

each

pas

seng

er. R

ail p

asse

nger

-mile

s re

pres

ent

the

mov

emen

t of

1 p

asse

nger

for

1 m

ile.

SOU

RC

ES

Air

:A

ir c

arri

er, d

omes

tic,

all

serv

ices

:19

60: C

ivil

Aer

onau

tics

Boa

rd, H

andb

ook

of A

irlin

e St

atis

tics

, 196

9 (

Was

hing

ton,

DC

: 197

0), p

art

III,

tab

le 2

.19

65-7

0: I

bid.

, Han

dboo

k of

Air

line

Stat

isti

cs, 1

973

(Was

hing

ton,

DC

: 197

4), p

art

III,

tab

le 2

.19

75-8

0: I

bid.

, Air

Car

rier

Tra

ffic

Sta

tist

ics

(Was

hing

ton,

DC

: 197

6, 1

981)

, p. 4

(D

ecem

ber

1976

) an

d p.

2 (

Dec

embe

r 19

81).

1985

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n,

DC

: Ann

ual D

ecem

ber

issu

es),

pag

e 2,

line

1.

Gen

eral

avi

atio

n:19

60-9

9: E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n in

Am

eric

a, 2

000

(Was

hing

ton,

DC

: 200

1), p

p. 1

4-15

.

Hig

hway

:P

asse

nger

car

and

mot

orcy

cle:

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

Int

erne

t si

te h

ttp:

//ww

w.f

hwa.

dot.

gov/

ohim

/sum

mar

y95/

inde

x.ht

ml a

s of

Jul

y 28

, 200

0, t

able

VM

-201

A.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1 a

nd I

nter

net

site

ww

w.f

hwa.

dot.

gov/

ohim

/ohi

mst

at.h

tm.

Mot

orcy

cle:

1970

-80:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

985

(Was

hing

ton,

DC

: 198

6), t

able

VM

-20

1A.

1985

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1 a

nd I

nter

net

site

ww

w.f

hwa.

dot.

gov/

ohim

/ohi

mst

at.h

tm.

Oth

er 2

-axl

e 4-

tire

veh

icle

:19

70-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, I

nter

net

site

htt

p://w

ww

.fhw

a.do

t.go

v/oh

im/s

umm

ary9

5/in

dex.

htm

l as

of J

uly

28, 2

000,

tab

le V

M-2

01A

.19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

and

Int

erne

t si

te w

ww

.fhw

a.do

t.go

v/oh

im/o

him

stat

.htm

.Si

ngle

-uni

t 2-

axle

6-t

ires

or

mor

e tr

uck,

com

bina

tion

tru

ck, a

nd b

us:

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

Int

erne

t si

te h

ttp:

//ww

w.f

hwa.

dot.

gov/

ohim

/sum

mar

y95/

inde

x.ht

ml a

s of

Jul

y 28

, 200

0, t

able

VM

-201

A.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1, a

nd I

nter

net

site

ww

w.f

hwa.

dot.

gov/

ohim

/ohi

mst

at.h

tm.

Page 78: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 59

TABL

E 1-

34: U

.S. P

asse

nger

-Mile

s (M

illio

ns) (

Cont

inue

d)

Tra

nsit

:Fe

rryb

oat

and

othe

r:19

96-9

9: A

mer

ican

Pub

lic T

rans

it A

ssoc

iati

on, p

erso

nal c

omm

unic

atio

n, A

ug. 1

3, 2

001.

2000

: Ibi

d., P

ublic

Tra

nspo

rtat

ion

Fact

Boo

k (W

ashi

ngto

n, D

C: 2

002)

, tab

le 8

4.A

ll ot

her

data

:19

60-2

000:

Am

eric

an P

ublic

Tra

nsit

Ass

ocia

tion

, Pub

lic T

rans

port

atio

n Fa

ct B

ook

(Was

hing

ton,

DC

: 200

2), t

able

30

and

sim

ilar

tabl

es in

ear

lier

edit

ions

.

Rai

l, In

terc

ity

/ A

mtr

ak:

1960

-80:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

1985

: Am

trak

, Am

trak

FY

95 A

nnua

l Rep

ort

Stat

isti

cal A

ppen

dix

(Was

hing

ton,

DC

: 199

6), p

. 4.

1990

-200

0: I

bid.

, Am

trak

FY

00 A

nnua

l Rep

ort

Stat

isti

cal A

ppen

dix

(Was

hing

ton,

DC

: 200

1), p

. 46.

Page 79: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

60 � Chapter 1: The Transportation SystemTA

BLE

1-35

: Prin

cipa

l Mea

ns o

f Tra

nspo

rtatio

n to

Wor

k (T

hous

ands

)

1985

1989

1993

1997

1999

2001

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

All

wo

rker

s99

,592

100.

010

6,63

010

0.0

103,

741

100.

011

6,46

910

0.0

118,

041

100.

012

0,19

110

0.0

Aut

omob

ile86

,148

86.5

93,9

4388

.191

,301

88.0

101,

907

87.5

103,

466

87.7

105,

586

87.8

Driv

es s

elf

72,1

3772

.481

,322

76.3

79,4

4976

.690

,207

77.5

92,3

6378

.293

,942

78.2

Car

pool

14,0

1114

.112

,621

11.8

11,8

5211

.411

,700

10.0

11,1

039.

411

,644

9.7

2-pe

rson

10,3

8110

.49,

708

9.1

9,10

58.

89,

294

8.0

8,70

57.

49,

036

7.5

3-pe

rson

2,02

42.

01,

748

1.6

1,68

41.

61,

526

1.3

1,45

41.

21,

635

1.4

4+ p

erso

n1,

606

1.6

1,16

51.

11,

063

1.0

881

0.8

945

0.8

973

0.8

Pub

lic tr

ansp

orta

tiona

5,09

15.

14,

880

4.6

4,74

04.

65,

337

4.6

5,77

94.

95,

627

4.7

Taxi

cab

129

0.1

152

0.1

117

0.1

139

0.1

144

0.1

133

0.1

Bic

ycle

or

mot

orcy

cle

958

1.0

795

0.7

744

0.7

738

0.6

749

0.6

847

0.7

Wal

ks o

nly

4,03

24.

03,

634

3.4

3,22

73.

13,

869

3.3

3,62

73.

13,

408

2.8

Oth

er m

eans

b28

60.

349

10.

547

40.

586

70.

798

70.

81,

049

0.9

Wor

ks a

t hom

e2,

947

3.0

2,73

62.

63,

137

3.0

3,61

13.

13,

288

2.8

3,40

12.

8

aPu

blic

tra

nspo

rtat

ion

refe

rs t

o bu

s, s

tree

tcar

, sub

way

, or

elev

ated

tra

ins.

bO

ther

mea

ns in

clud

e fe

rryb

oats

, sur

face

tra

ins,

and

van

ser

vice

.

NO

TE

Prin

cipa

l mea

ns o

f tr

ansp

orta

tion

ref

ers

to t

he m

ode

used

mos

t of

ten,

whe

n di

ffer

ent

mea

ns o

f tr

ansp

orta

tion

wer

e us

ed o

n di

ffer

ent

days

of

the

wee

k, o

r th

e m

ode

used

for

the

long

est

dist

ance

dur

ing

the

trip

to

wor

k, w

hen

mor

e th

an o

ne m

ode

is u

sed

to g

et t

o w

ork

each

day

.

SOU

RC

EU

.S. D

epar

tmen

t of

Hou

sing

and

Urb

an D

evel

opm

ent,

Am

eric

an H

ousi

ng S

urve

y (W

ashi

ngto

n, D

C: v

ario

us y

ears

).

Page 80: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 61

TABL

E 1-

36: L

ong-

Dist

ance

Tra

vel i

n th

e Un

ited

Stat

es b

y Se

lect

ed T

rip C

hara

cter

istic

s: 1

995

(Rou

ndtri

ps o

f 100

mile

s or

mor

e, o

ne w

ay, U

.S. d

estin

atio

ns o

nly)

Ho

use

ho

ld t

rip

s(t

ho

usa

nd

s)P

erso

n t

rip

s(t

ho

usa

nd

s)P

erso

n-m

iles

(mill

ion

s)

Per

son

al-u

seve

hic

le t

rip

s(t

ho

usa

nd

s)

Per

son

al-u

seve

hic

le-m

iles

(mill

ion

s)

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

TOTA

L65

6,46

210

0.0

1,00

1,31

910

0.0

826,

804

100.

050

5,15

410

0.0

280,

127

100.

0

Pri

nci

pal

mea

ns

of

tran

spo

rtat

ion

Per

sona

l-use

veh

icle

505,

154

77.0

813,

858

81.3

451,

590

54.6

505,

154

100.

028

0,12

710

0.0

Air

plan

e12

9,16

419

.716

1,16

516

.135

5,28

643

.0N

AN

AN

AN

AC

omm

erci

al a

irpla

ne12

4,88

419

.015

5,93

615

.634

7,93

342

.1N

AN

AN

AN

AB

us17

,340

2.6

20,4

452.

013

,309

1.6

NA

NA

NA

NA

Inte

rcity

2,

755

0.4

3,24

40.

32,

723

0.3

NA

NA

NA

NA

Cha

rter

or

tour

11,8

901.

814

,247

1.4

9,36

31.

1N

AN

AN

AN

ATr

ain

4,20

00.

64,

994

0.5

4,35

60.

5N

AN

AN

AN

A

Shi

p, b

oat,

or fe

rry

391

0.1

614

0.1

1,83

40.

2N

AN

AN

AN

AO

ther

213

RZ

243

RZ

429

0.1

NA

NA

NA

NA

Ro

un

dtr

ip d

ista

nce

Less

than

300

mile

s19

4,09

829

.630

6,43

330

.674

,658

9.0

185,

418

36.7

45,1

5916

.130

0–49

9 m

iles

174,

389

26.6

274,

045

27.4

106,

007

12.8

159,

743

31.6

61,7

7922

.150

0–99

9 m

iles

140,

046

21.3

214,

006

21.4

146,

631

17.7

106,

846

21.2

72,1

1425

.7

1,00

0–1,

999

mile

s76

,110

11.6

108,

331

10.8

153,

316

18.5

36,7

227.

349

,952

17.8

2,00

0 m

iles

or m

ore

71,8

1910

.998

,503

9.8

346,

192

41.9

16,4

253.

351

,123

18.3

Mea

n (m

iles)

872

NA

826

NA

NA

NA

555

NA

NA

NA

Med

ian

(mile

s)43

8N

A42

5N

AN

AN

A36

8N

AN

AN

A

Cal

end

ar q

uar

ter

1st q

uart

er13

0,96

319

.920

0,33

120

.015

5,60

318

.899

,549

19.7

50,8

0118

.1

2nd

quar

ter

168,

669

25.7

258,

400

25.8

208,

256

25.2

130,

135

25.8

72,4

2125

.93r

d qu

arte

r19

3,91

329

.530

4,54

230

.426

1,46

331

.615

2,86

230

.390

,558

32.3

4th

quar

ter

162,

917

24.8

238,

047

23.8

201,

471

24.4

122,

607

24.3

66,3

4623

.7C

ontin

ued

next

pag

e

Page 81: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

62 � Chapter 1: The Transportation System

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Mai

n p

urp

ose

of

trip

Bus

ines

s19

2,53

729

.322

4,83

522

.521

2,18

925

.712

5,03

624

.861

,929

22.1

Ple

asur

e37

2,58

656

.863

0,11

062

.950

6,97

161

.330

5,57

160

.517

7,69

863

.4

Vis

it re

lativ

es o

r fr

iend

s19

5,46

829

.833

0,75

533

.026

4,76

932

.015

9,98

131

.792

,190

32.9

Leis

urea

177,

119

27.0

299,

355

29.9

242,

201

29.3

145,

590

28.8

85,5

0830

.5

Res

t or

rela

xatio

n65

,017

9.9

115,

154

11.5

100,

838

12.2

53,7

8010

.633

,598

12.0

Sig

htse

eing

24,2

723.

742

,649

4.3

50,7

816.

118

,069

3.6

14,6

545.

2O

utdo

or r

ecre

atio

n39

,899

6.1

65,4

186.

541

,620

5.0

35,9

877.

119

,407

6.9

Ent

erta

inm

ent

37,4

565.

758

,757

5.9

42,9

295.

227

,920

5.5

14,5

315.

2P

erso

nal b

usin

ess

91,3

1913

.914

6,33

814

.610

7,62

113

.074

,532

14.8

40,4

9014

.5O

ther

19R

Z36

RZ

23R

Z16

RZ

9R

Z

Vac

atio

n o

r w

eeke

nd

tri

ps

Vac

atio

n tr

ip30

1,19

745

.951

5,38

351

.548

4,14

458

.623

6,05

546

.715

4,16

755

.0W

eeke

nd tr

ip40

0,75

561

.062

1,94

862

.147

5,26

957

.531

0,37

961

.416

9,30

960

.4

1 or

2 n

ight

s aw

ay fr

om h

ome

240,

808

36.7

377,

893

37.7

222,

418

26.9

199,

831

39.6

94,8

6533

.93–

5 ni

ghts

aw

ay fr

om h

ome

159,

946

24.4

244,

055

24.4

252,

851

30.6

110,

548

21.9

74,4

4426

.6

Trav

el p

arty

typ

eO

ne a

dult,

no

child

ren

unde

r 18

386,

479

58.9

386,

510

38.6

352,

350

42.6

275,

034

54.4

144,

795

51.7

Two

or m

ore

adul

ts, n

o ch

ildre

n un

der

1815

5,14

723

.629

9,48

529

.924

8,76

230

.113

3,16

326

.479

,273

28.3

One

adu

lt, c

hild

ren

unde

r 18

29,4

364.

567

,959

6.8

48,0

835.

824

,879

4.9

13,8

274.

9Tw

o or

mor

e ad

ults

, chi

ldre

n un

der

1866

,086

10.1

225,

875

22.6

158,

334

19.2

60,4

9712

.034

,759

12.4

No

adul

t, on

e or

mor

e ch

ildre

n un

der

1819

,313

2.9

21,4

892.

119

,275

2.3

11,5

812.

37,

473

2.7

Mea

n tr

avel

par

ty s

ize

1.6

NA

2.2

NA

NA

NA

1.7

NA

NA

NA

Nig

hts

aw

ay f

rom

ho

me

Non

e16

4,03

225

.023

9,72

723

.910

4,44

412

.614

0,91

427

.949

,619

17.7

1–3

nigh

ts32

1,22

748

.950

2,46

550

.233

1,50

440

.125

9,35

451

.313

1,55

947

.04–

7 ni

ghts

121,

279

18.5

184,

766

18.5

243,

546

29.5

76,3

8015

.161

,318

21.9

8 or

mor

e ni

ghts

49,9

247.

674

,361

7.4

147,

309

17.8

28,5

065.

637

,631

13.4

Mea

n, e

xclu

ding

non

e (n

ight

s)4.

4N

A4.

3N

AN

AN

A4.

0N

AN

AN

A

TABL

E 1-

36: L

ong-

Dist

ance

Tra

vel i

n th

e Un

ited

Stat

es b

y Se

lect

ed T

rip C

hara

cter

istic

s: 1

995

(Rou

ndtri

ps o

f 100

mile

s or

mor

e, o

ne w

ay, U

.S. d

estin

atio

ns o

nly)

(Con

tinue

d)

Ho

use

ho

ld t

rip

s(t

ho

usa

nd

s)P

erso

n t

rip

s(t

ho

usa

nd

s)P

erso

n-m

iles

(mill

ion

s)

Per

son

al-u

seve

hic

le t

rip

s(t

ho

usa

nd

s)

Per

son

al-u

seve

hic

le-m

iles

(mill

ion

s)

Page 82: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 63

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Typ

e o

f lo

dg

ing

at

des

tin

atio

nFr

iend

’s o

r re

lativ

e’s

hom

e21

1,83

243

.634

5,50

645

.929

0,42

841

.017

0,27

147

.310

3,18

045

.7H

otel

, mot

el, o

r re

sort

201,

264

41.4

282,

929

37.6

318,

323

44.9

126,

160

35.1

82,4

4736

.5

Ren

ted

cabi

n, c

ondo

, or

vaca

tion

hom

e20

,205

4.2

38,5

725.

126

,269

3.7

18,1

035.

09,

819

4.3

Ow

ned

cabi

n, c

ondo

, or

vaca

tion

hom

e17

,607

3.6

30,6

484.

131

,161

4.4

14,6

314.

110

,809

4.8

Cam

per,

trai

ler,

recr

eatio

nal v

ehic

le, t

ent

11,9

442.

522

,208

3.0

15,8

362.

211

,663

3.2

8,20

43.

6

Oth

er ty

pe o

f lod

ging

23,4

524.

832

,095

4.3

27,0

803.

818

,917

5.3

11,5

425.

1

Nig

hts

at

des

tin

atio

nM

ean

nigh

ts a

t des

tinat

ion

4.20

NA

4.0

NA

NA

NA

3.8

NA

NA

NA

Frie

nd’s

or

rela

tive’

s ho

me

4.33

NA

4.0

NA

NA

NA

3.6

NA

NA

NA

Hot

el, m

otel

, or

reso

rt3.

05N

A3.

0N

AN

AN

A2.

8N

AN

AN

A

KE

Y: N

A =

not

app

licab

le; R

Z =

rou

nds

to o

r re

pres

ents

zer

o.

aIn

clud

es o

ther

leis

ure

purp

oses

not

sho

wn

sepa

rate

ly.

NO

TE

SN

umbe

rs a

nd p

erce

nts

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

See

glos

sary

for

def

init

ions

of

cate

gori

es.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, 199

5 A

mer

ican

Tra

vel S

urve

y P

rofi

le, B

TS/

AT

S95-

US

(Was

hing

ton,

DC

: Oct

ober

199

7).

TABL

E 1-

36: L

ong-

Dist

ance

Tra

vel i

n th

e Un

ited

Stat

es b

y Se

lect

ed T

rip C

hara

cter

istic

s: 1

995

(Rou

ndtri

ps o

f 100

mile

s or

mor

e, o

ne w

ay, U

.S. d

estin

atio

ns o

nly)

(Con

tinue

d)

Ho

use

ho

ld t

rip

s(t

ho

usa

nd

s)P

erso

n t

rip

s(t

ho

usa

nd

s)P

erso

n-m

iles

(mill

ion

s)

Per

son

al-u

seve

hic

le t

rip

s(t

ho

usa

nd

s)

Per

son

al-u

seve

hic

le-m

iles

(mill

ion

s)

Page 83: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

64 � Chapter 1: The Transportation SystemTA

BLE

1-37

: Lon

g-Di

stan

ce T

rave

l in

the

Unite

d St

ates

by

Sele

cted

Tra

vele

r Cha

ract

eris

tics:

199

5(R

ound

trips

of 1

00 m

iles

or m

ore,

one

way

, U.S

. des

tinat

ions

onl

y)

Per

son

tri

ps

(th

ou

san

ds)

Per

son

-mile

s(m

illio

ns)

Per

son

al-u

seve

hic

le t

rip

s(t

ho

usa

nd

s)

Per

son

al-u

seve

hic

le-m

iles

(mill

ion

s)

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

TOTA

L a

ll p

erso

n t

rip

s1,

001,

319

100

834,

676

100

813,

858

100

454,

787

100

Trav

eler

s b

y ag

eU

nder

18

year

s15

9,77

916

.011

5,86

913

.913

9,36

017

.178

,517

17.3

18–2

4 ye

ars

92,1

299.

267

,224

8.1

79,8

109.

843

,821

9.6

25–2

9 ye

ars

80,0

608.

064

,009

7.7

66,5

108.

235

,809

7.9

30–3

9 ye

ars

189,

917

19.0

167,

583

20.1

146,

527

18.0

78,9

7017

.440

–49

year

s19

9,99

120

.017

0,37

920

.415

7,06

319

.383

,046

18.3

50–5

9 ye

ars

137,

841

13.8

118,

433

14.2

110,

208

13.5

61,8

5613

.6

60–6

4 ye

ars

48,6

834.

943

,574

5.2

40,6

475.

025

,258

5.6

65 y

ears

and

ove

r92

,919

9.3

87,6

0310

.573

,733

9.1

47,5

1210

.4To

tal

1,00

1,31

910

083

4,67

610

081

3,85

810

045

4,78

710

0M

edia

n (y

ears

)38

38

Fem

ale

Und

er 1

8 ye

ars

79,5

807.

958

,716

7.0

68,6

508.

439

,122

8.6

18–2

4 ye

ars

42,7

434.

332

,706

3.9

36,1

614.

419

,702

4.3

25–2

9 ye

ars

36,4

223.

629

,473

3.5

29,9

863.

716

,077

3.5

30–3

9 ye

ars

82,4

718.

270

,360

8.4

65,0

568.

034

,606

7.6

40–4

9 ye

ars

84,1

358.

470

,696

8.5

67,8

558.

336

,039

7.9

50–5

9 ye

ars

59,7

216.

050

,449

6.0

48,8

676.

027

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6.0

60–6

4 ye

ars

21,3

102.

119

,576

2.3

17,2

172.

110

,942

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65 y

ears

and

ove

r44

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4.4

41,2

784.

933

,409

4.1

20,5

134.

5To

tal

450,

512

45.0

373,

254

44.7

367,

203

45.1

204,

485

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Med

ian

(yea

rs)

3737

Page 84: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 65

Rac

eW

hite

891,

443

89.0

739,

444

88.6

726,

632

89.3

403,

045

88.6

Bla

ck59

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6.0

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355.

449

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6.0

28,1

156.

2

Asi

an o

r P

acifi

c Is

land

er22

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28,6

903.

415

,954

2.0

10,5

702.

3A

mer

ican

Indi

an, E

skim

o, o

r A

leut

ian

10,7

071.

18,

103

1.0

8,80

71.

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233

1.2

Oth

er16

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1.6

13,5

041.

613

,290

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7,82

51.

7

Tota

l1,

001,

319

100

834,

676

100

813,

858

100

454,

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100

Eth

nic

ity

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pani

c or

igin

)52

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644

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ot o

f His

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igin

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995

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tal

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0

Ho

use

ho

ld in

com

eLe

ss th

an $

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6,69

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615

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$50,

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106,

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0–$9

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212

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.0$1

00,0

00 o

r m

ore

95,0

929.

510

9,98

713

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7.3

33,9

257.

5

Ho

use

ho

ld t

ype

Fam

ily h

ouse

hold

840,

438

83.9

693,

794

83.1

692,

146

85.0

388,

534

85.4

Mar

ried-

coup

le h

ouse

hold

726,

982

72.6

606,

630

72.7

597,

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73.5

335,

980

73.9

With

chi

ldre

n un

der

18 y

ears

379,

139

37.9

302,

958

36.3

313,

451

38.5

172,

014

37.8

Fem

ale

hous

ehol

der

76,9

427.

760

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735

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7.7

With

chi

ldre

n un

der

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ears

43,3

894.

331

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3.8

35,9

864.

419

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e ho

useh

olde

r36

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313.

9W

ith c

hild

ren

unde

r 18

yea

rs13

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9,84

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211

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6,58

31.

4

Non

fam

ily h

ouse

hold

160,

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5414

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ontin

ued

next

pag

e

TABL

E 1-

37: L

ong-

Dist

ance

Tra

vel i

n th

e Un

ited

Stat

es b

y Se

lect

ed T

rave

ler C

hara

cter

istic

s: 1

995

(Rou

ndtri

ps o

f 100

mile

s or

mor

e, o

ne w

ay, U

.S. d

estin

atio

ns o

nly)

(Con

tinue

d)

Per

son

tri

ps

(th

ou

san

ds)

Per

son

-mile

s(m

illio

ns)

Per

son

al-u

seve

hic

le t

rip

s(t

ho

usa

nd

s)

Per

son

al-u

seve

hic

le-m

iles

(mill

ion

s)

Nu

mb

erP

erce

nt

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mb

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erce

nt

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mb

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erce

nt

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mb

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erce

nt

Page 85: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

66 � Chapter 1: The Transportation System

Ed

uca

tio

nal

att

ain

men

t (P

erso

ns

16 y

ears

an

d o

ver)

Less

than

hig

h sc

hool

gra

duat

e68

,338

7.9

48,5

336.

659

,159

8.6

33,4

288.

7

Hig

h sc

hool

gra

duat

e21

9,54

925

.516

5,36

122

.618

7,76

227

.210

5,95

727

.6S

ome

colle

ge, n

o de

gree

182,

146

21.2

146,

379

20.0

153,

399

22.3

86,3

0422

.5A

ssoc

iate

’s d

egre

e58

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6.8

46,4

016.

349

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7.1

26,2

646.

8

Bac

helo

r’s d

egre

e19

3,65

122

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1,23

324

.814

5,43

821

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20.8

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e gr

ad s

choo

l or

grad

deg

ree

137,

513

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155

19.7

94,2

2113

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l85

9,62

910

073

2,06

210

068

9,06

010

038

4,40

910

0

Act

ivit

y st

atu

s (P

erso

ns

16 y

ears

an

d o

ver)

Wor

king

full

time

547,

232

63.7

470,

855

64.3

428,

319

62.2

228,

969

59.6

Ret

ired

95,0

3911

.188

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12.1

77,9

2111

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er21

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725

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123

.518

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026

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126

.8

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l85

9,62

910

073

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210

068

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910

0

NO

TE

T

his

tabl

e ex

clud

es t

rave

l out

side

the

Uni

ted

Stat

es. N

umbe

rs a

nd p

erce

nts

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, 199

5 A

mer

ican

Tra

vel S

urve

y da

ta.

TABL

E 1-

37: L

ong-

Dist

ance

Tra

vel i

n th

e Un

ited

Stat

es b

y Se

lect

ed T

rave

ler C

hara

cter

istic

s: 1

995

(Rou

ndtri

ps o

f 100

mile

s or

mor

e, o

ne w

ay, U

.S. d

estin

atio

ns o

nly)

(Con

tinue

d)

Per

son

tri

ps

(th

ou

san

ds)

Per

son

-mile

s(m

illio

ns)

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son

al-u

seve

hic

le t

rip

s(t

ho

usa

nd

s)

Per

son

al-u

seve

hic

le-m

iles

(mill

ion

s)

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Nu

mb

erP

erce

nt

Page 86: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 67

TABL

E 1-

38: U

.S. A

ir Ca

rrie

r Airc

raft

Depa

rture

s, E

npla

ned

Reve

nue

Pass

enge

rs, a

nd E

npla

ned

Reve

nue

Tons

197

5 1

980

198

5 1

990

199

5 1

996

199

7 1

998

199

9 2

000

200

1A

IRP

OR

T D

EPA

RT

UR

ES

Tota

l per

form

eda

4,55

5,51

65,

156,

848

5,50

5,65

96,

641,

681

8,03

0,53

08,

204,

674

8,09

5,88

88,

248,

269

8,60

5,48

68,

951,

773

8,59

7,34

4

Tota

l sch

edu

led

4,53

0,53

55,

204,

564

5,59

1,59

66,

758,

571

7,92

0,46

78,

064,

653

7,90

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094,

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6

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ge

hu

bs

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form

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437,

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640,

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edul

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487,

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form

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8,55

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Non

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Tota

l fre

igh

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38

Con

tinue

d ne

xt p

age

Page 87: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

68 � Chapter 1: The Transportation System

Mai

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KE

Y: R

= r

evis

ed.

aTo

tal p

erfo

rmed

incl

udes

sch

edul

ed d

epar

ture

s pe

rfor

med

min

us t

hose

sch

edul

ed d

epar

ture

s th

at d

id n

ot o

ccur

plu

s un

sche

dule

d se

rvic

e.b

The

num

ber

of p

erso

ns r

ecei

ving

air

tra

nspo

rtat

ion

from

an

air

carr

ier

for

whi

ch r

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erat

ion

is r

ecei

ved

by t

he c

arri

er, e

xclu

ding

per

sons

rec

eivi

ng r

educ

ed

rate

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rges

, suc

h as

air

car

rier

em

ploy

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infa

nts,

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ers

(exc

ept

min

iste

rs o

f re

ligio

n, e

lder

ly in

divi

dual

s, a

nd h

andi

capp

ed in

divi

dual

s).

cT

he n

umbe

r of

sho

rt t

ons

of f

reig

ht t

rans

port

ed b

y an

air

car

rier

abo

ard

an a

ircr

aft.

NO

TE

SD

ata

are

for

all s

ched

uled

and

non

sche

dule

d se

rvic

e by

larg

e ce

rtif

icat

ed U

.S. a

ir c

arri

ers

at a

ll ai

rpor

ts s

erve

d w

ithi

n th

e 50

sta

tes,

the

Dis

tric

t of

Col

umbi

a, a

nd

othe

r U

.S. a

reas

des

igna

ted

by t

he F

eder

al A

viat

ion

Adm

inis

trat

ion.

Not

all

sche

dule

d se

rvic

e is

act

ually

per

form

ed. M

oreo

ver,

for

seve

ral y

ears

, tot

al p

er-

form

ed d

epar

ture

s ex

ceed

tot

al s

ched

uled

dep

artu

res

beca

use

nons

ched

uled

dep

artu

res

are

incl

uded

in t

he t

otal

s. P

rior

to

1993

, all

sche

dule

d an

d so

me

non-

sche

dule

d en

plan

emen

ts f

or c

erti

fica

ted

air

carr

iers

wer

e in

clud

ed; n

o en

plan

emen

ts w

ere

incl

uded

for

air

car

rier

s of

feri

ng c

hart

er s

ervi

ce o

nly.

Pri

or t

o 19

90,

frei

ght

incl

udes

bot

h fr

eigh

t an

d ex

pres

s sh

ipm

ents

, and

mai

l inc

lude

s pr

iori

ty a

nd n

onpr

iori

ty U

.S. m

ail a

nd f

orei

gn m

ail;

begi

nnin

g in

199

0, o

nly

aggr

egat

e nu

mbe

rs a

re r

epor

ted.

Lar

ge c

erti

fica

ted

air

carr

iers

ope

rate

air

craf

t w

ith

seat

ing

capa

city

of

mor

e th

an 6

0 se

ats

or a

max

imum

pay

load

cap

acit

y of

mor

e th

an 1

8,00

0 po

unds

and

hol

d C

erti

fica

tes

of P

ublic

Con

veni

ence

and

Nec

essi

ty is

sued

by

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n au

thor

izin

g th

e pe

rfor

man

ce o

f ai

r tr

ansp

orta

tion

. Dat

a fo

r co

mm

uter

, int

rast

ate,

and

for

eign

-fla

g ai

r ca

rrie

rs a

re n

ot in

clud

ed.

Air

tra

ffic

hub

s ar

e de

sign

ated

as

geog

raph

ical

are

as b

ased

on

the

perc

enta

ge o

f to

tal p

asse

nger

s en

plan

ed in

the

are

a. A

hub

may

hav

e m

ore

than

one

air

port

in

it. (

Thi

s de

fini

tion

of

hub

shou

ld n

ot b

e co

nfus

ed w

ith

the

defi

niti

on u

sed

by t

he a

irlin

es in

des

crib

ing

thei

r “h

ub-a

nd-s

poke

” ro

ute

stru

ctur

es)

Indi

vidu

al

com

mun

itie

s fa

ll in

to f

our

hub

clas

sifi

cati

ons

as d

eter

min

ed b

y ea

ch c

omm

unit

y’s

perc

enta

ge o

f to

tal e

npla

ned

reve

nue

pass

enge

rs in

all

serv

ices

and

all

oper

-at

ions

of

U.S

. cer

tifi

cate

d ro

ute

carr

iers

wit

hin

the

50 s

tate

s, t

he D

istr

ict

of C

olum

bia,

and

oth

er U

.S. a

reas

. Cla

ssif

icat

ions

are

bas

ed o

n th

e pe

rcen

tage

of

tota

l enp

lane

d re

venu

e pa

ssen

gers

for

eac

h ye

ar a

ccor

ding

to

the

follo

win

g: o

ne p

erce

nt o

r m

ore

= la

rge,

0.2

5 to

0.9

999

perc

ent

= m

ediu

m, 0

.05

to 0

.249

per

-ce

nt =

sm

all,

less

tha

n 0.

05 =

non

hub.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

irpo

rt A

ctiv

ity

Stat

isti

cs o

f C

erti

fied

Rou

te A

ir C

arri

ers

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

s 2,

3, 4

, and

5.

TABL

E 1-

38: U

.S. A

ir Ca

rrie

r Airc

raft

Depa

rture

s, E

npla

ned

Reve

nue

Pass

enge

rs, a

nd E

npla

ned

Reve

nue

Tons

(Con

tinue

d)

197

5 1

980

198

5 1

990

199

5 1

996

199

7 1

998

199

9 2

000

200

1

Page 88: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 69

TABLE 1-39: Passengers Boarded at the Top 50 U.S. Airportsa

1991 2001

Rank

Total enplaned

passengers Rank

Total enplaned

passengers

Percent change

1991-2001Atlanta, GA (Hartsfield Intl.) 4 17,691,130 1 36,378,501 105.6%Chicago, IL (O’Hare Intl.) 1 25,872,241 2 28,625,264 10.6%

Dallas / Ft. Worth, TX (Dallas / Ft. Worth Intl.) 2 22,656,394 3 25,197,150 11.2%Los Angeles, CA (Los Angeles Intl.) 3 18,303,046 4 22,862,216 24.9%Phoenix, AZ (Phoenix Sky Harbor Intl.) 7 10,972,232 5 16,539,155 50.7%

Denver, CO (Denver Intl.) 6 12,313,733 6 16,384,990 33.1%Las Vegas, NV (McCarran Intl.) 17 8,222,488 7 16,099,776 95.8%Minneapolis, MN (Minneapolis-St. Paul Intl.) 13 8,862,828 8 15,648,293 76.6%

Houston, TX (George Bush Intercontinental) 18 7,813,856 9 15,637,528 100.1%Detroit, MI (Wayne County) 9 9,618,283 10 15,463,770 60.8%San Francisco, CA (San Francisco Intl.) 5 14,026,226 11 13,846,425 -1.3%

Newark, NJ (Newark) 8 9,737,488 12 13,813,852 41.9%St. Louis, MO (Lambert-St. Louis Muni.) 10 9,351,642 13 12,864,305 37.6%Seattle, WA (Seattle-Tacoma Intl.) 20 7,696,481 14 12,694,210 64.9%

Orlando, FL (Orlando Intl.) 22 7,605,356 15 12,597,086 65.6%Miami, FL (Miami Intl.) 11 9,309,591 16 11,492,541 23.4%Philadelphia, PA (Philadelphia Intl.) 24 6,381,130 17 10,383,439 62.7%

New York, NY (La Guardia) 12 9,194,825 18 10,296,767 12.0%Charlotte, NC (Douglas Muni.) 21 7,668,793 19 10,225,979 33.3%Boston, MA (Logan Intl.) 14 8,862,052 20 9,989,937 12.7%

New York, NY (John F. Kennedy Intl.) 16 8,245,014 21 9,645,995 17.0%Baltimore, MD (Baltimore-Washington Intl.) 31 4,249,906 22 9,450,116 122.4%Pittsburgh, PA (Greater Pittsburgh) 19 7,707,902 23 8,710,821 13.0%

Cincinnati, OH (Greater Cincinnati) 29 4,314,474 24 8,349,380 93.5%Salt Lake City, UT (Salt Lake City Intl.) 25 5,470,129 25 7,835,901 43.2%Honolulu, HI (Honolulu Intl.) 15 8,772,316 26 7,789,539 -11.2%

Tampa, FL (Tampa Intl.) 28 4,338,195 27 7,452,492 71.8%Miami / Ft. Lauderdale, FL (Ft. Lauderdale-Hollywood Intl.) 37 3,451,761 28 7,371,233 113.5%San Diego, CA (San Diego Intl.-Lindbergh) 26 5,386,803 29 7,245,787 34.5%

Chicago, IL (Midway) 43 2,936,521 30 7,062,993 140.5%Portland, OR (Portland Intl.) 39 3,164,431 31 5,973,721 88.8%San Jose, CA (Norman Y. Mineta San Jose International ) 41 3,150,397 32 5,865,502 86.2%

Washington, DC (Ronald Reagan National) 23 6,631,273 33 5,779,214 -12.8%Washington, DC (Dulles Intl.) 27 4,709,400 34 5,745,399 22.0%Cleveland, OH (Hopkins Intl.) 35 3,545,000 35 5,528,666 56.0%

Kansas City, MO (Kansas City Intl.) 38 3,288,900 36 5,494,516 67.1%Continued next page

Page 89: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

70 � Chapter 1: The Transportation System

Oakland, CA (Oakland Metropolitan Intl.) 42 2,956,220 37 5,485,948 4.0%Memphis, TN (Memphis Intl.) 36 3,494,675 38 4,778,872 9.4%

New Orleans, LA (New Orleans Intl.) 40 3,151,718 39 4,678,835 4.6%San Juan, PR (Luis Munoz Marin Intl.) 34 3,739,126 40 4,537,641 84.0%Raleigh-Durham, NC (Raleigh-Durham) 30 4,309,550 41 4,483,332 40.6%

Houston, TX (William P. Hobby) 33 3,765,759 42 4,120,895 69.7%Nashville, TN (Metropolitan) 32 3,901,875 43 4,079,836 31.9%Sacramento, CA (Sacramento International) 52 2,105,016 44 3,873,560 20.0%

Los Angeles, CA (Orange County) 47 2,573,035 45 3,618,558 57.0%Austin, TX (Robert Muller Muni.) 54 2,021,120 46 3,428,839 29.1%Indianapolis, IN (Indianapolis Intl.) 46 2,585,727 47 3,409,526 4.0%

Dallas, TX (Love Field) 45 2,792,557 48 3,350,775 9.4%Hartford / Springfield / Westfield CT (Bradley Intl.) 51 2,107,004 49 3,307,481 4.6%San Antonio, TX (San Antonio Intl.) 48 2,520,324 50 3,254,348 84.0%

Total top 50 354,856,365 498,750,905 40.6%All airports 428,319,248 595,655,501 39.1%

a Rank order by total enplaned passengers on large certificated U.S. air carriers, scheduled and nonscheduled operations, at all airports served within the 50 states, the District of Columbia, and other U.S. areas desig-nated by the Federal Aviation Administration. Prior to 1993, all scheduled and some nonscheduled enplane-ments for certificated air carriers were included; no enplanements were included for air carriers offering charter service only.

Large certificated air carriers hold Certificates of Public Convenience and Necessity issued by the U.S. Depart-ment of Transportation authorizing the performance of air transportation. Large certificated air carriers operate aircraft with seating capacity of more than 60 seats or a maximum payload capacity of more than 18,000 pounds. Data for commuter, intrastate, and foreign-flag air carriers are not included.

NOTEThe following airports appeared in the top 50 ranking in 1991 but were not among the top 50 for 2001:

Ontario, CA ranked 44th (2,837,028); West Palm Beach, FL ranked 49th (2,355,922); and Albuquerque, NM ranked 50th (2,350,612).

SOURCES1991: U.S. Department of Transportation, Federal Aviation Administration and Research and Special Programs

Administration, Airport Activity Statistics of Certificated Route Air Carriers, 12 Months Ending December 31, 1991 (Washington, DC: 1992), tables 3 and 4.

2001: U.S. Department of Transportation, Bureau of Transportation Statistics, Office of Airline Information, Airport Activity Statistics of Certificated Air Carriers: Summary Tables, Twelve Months Ending December 31, 2001 (Washington, DC: 2002), tables 3 and 4.

TABLE 1-39: Passengers Boarded at the Top 50 U.S. Airportsa (Continued)

1991 2001

Rank

Total enplaned

passengers Rank

Total enplaned

passengers

Percent change

1991-2001

Page 90: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 71

TABL

E 1-

40: A

ir Pa

ssen

ger T

rave

l Arr

ival

s in

the

Unite

d St

ates

from

Sel

ecte

d Fo

reig

n Co

untri

es (T

hous

ands

)

197

5 1

980

198

5 1

990

199

5 1

996

199

7 1

998

199

9 2

000

200

1F

lag

of

carr

ier

Uni

ted

Sta

tes

6,50

210

,031

11,7

9819

,145

24,5

8225

,148

26,7

4427

,390

27,4

6229

,837

27,9

85Fo

reig

n6,

144

10,2

3112

,357

17,2

6922

,328

24,7

0427

,571

28,7

9130

,324

32,3

8028

,715

Tota

l arr

ivin

g p

asse

ng

ers

12,6

4620

,262

24,1

5636

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46,9

1049

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54,3

1556

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57,7

8562

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56,7

00

Co

un

try

of

emb

arka

tio

na

Aus

tral

ia10

622

727

749

558

162

261

861

367

081

273

9B

aham

a Is

land

s75

81,

123

1,50

31,

679

1,43

31,

487

1,53

01,

396

1,33

71,

471

1,45

8B

arba

dos

7613

521

622

822

221

220

319

519

720

819

1

Bel

gium

144

242

281

417

379

407

589

715

730

778

598

Ber

mud

a39

849

743

448

742

636

342

540

738

437

433

4B

razi

l21

230

035

258

41,

112

1,17

61,

388

1,37

71,

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1,28

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094

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adab

NN

N6,

870

7,41

78,

501

8,89

59,

613

9,92

610

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U

Chi

na/T

aiw

an50

113

206

325

972

1,01

71,

068

1,08

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170

1,18

61,

092

Col

ombi

a17

331

527

928

648

149

958

660

664

967

468

3D

enm

ark

222

267

241

313

221

236

252

225

223

232

240

Dom

inic

an R

epub

lic33

646

860

694

81,

136

1,16

81,

168

1,25

11,

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1,49

81,

430

Fran

ce51

268

995

51,

777

2,04

52,

178

2,32

32,

523

2,59

13,

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erm

any

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1,17

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2,46

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125

3,17

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3,55

83,

491

3,88

63,

519

Gra

nd C

aym

an25

121

173

273

314

323

328

370

335

343

317

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ece

121

208

187

132

220

235

186

192

191

195

135

Hai

ti91

133

192

233

314

303

289

293

327

303

317

Hon

g K

ong

9822

827

035

665

866

858

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265

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173

5Ir

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d22

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027

444

864

272

171

677

595

01,

064

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el84

189

294

204

412

483

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547

577

400

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431

537

662

792

1,00

71,

047

1,09

71,

078

1,17

11,

511

1,26

9C

ontin

ued

next

pag

e

Page 91: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

72 � Chapter 1: The Transportation System

Jam

aica

457

429

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975

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Y: N

= d

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; U =

dat

a ar

e no

t ava

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ount

ry w

here

pas

seng

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dir

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ates

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num

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even

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sch

edul

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oes

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(non

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.S.)

sc

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betw

een

U.S

. air

port

s in

the

50

stat

es, P

uert

o R

ico,

Gua

m, o

r th

e V

irgi

n Is

land

s, a

nd o

ther

U.S

. ter

rito

ries

. D

ata

com

pile

d fr

om f

light

rep

orts

req

uire

d by

the

U.S

. Im

mig

rati

on a

nd N

atur

aliz

atio

n Se

rvic

e. T

able

incl

udes

a s

elec

ted

sam

ple

of c

ount

ries

of

emba

rkat

ion

for

pass

enge

rs a

rriv

ing

in t

he U

nite

d St

ates

. B

ecau

se t

wo

diff

eren

t da

ta s

ourc

es a

re u

sed,

the

tot

al n

umbe

r of

arr

ivin

g pa

ssen

gers

may

be

less

tha

n th

e to

tal f

or “

coun

try

of e

mba

rkat

ion”

list

ed h

ere.

SOU

RC

ES

1975

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, R

esea

rch

and

Spec

ial P

rogr

ams

Adm

inis

trat

ion,

Vol

pe N

atio

nal T

rans

port

atio

n Sy

stem

s C

ente

r, U

.S. I

nter

nati

onal

A

ir T

rave

l Sta

tist

ics

(Cam

brid

ge, M

A: A

nnua

l iss

ues)

, tab

le I

Ia.

1995

: U.S

. Dep

artm

ent

of C

omm

erce

, Int

erna

tion

al T

rade

Adm

inis

trat

ion,

U.S

. Int

erna

tion

al A

ir P

asse

nger

Sta

tist

ics

Rep

ort,

Cal

enda

r Y

ear

1995

(W

ashi

ngto

n,

DC

: 199

6), t

able

IIa

. 19

96-2

001:

Ibi

d., U

.S. I

nter

nati

onal

Air

Tra

vel S

tati

stic

s R

epor

t (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le I

Ia. C

anad

a: S

tati

stic

s C

anad

a, A

ir C

arri

er T

raff

ic a

t C

anad

ian

Air

port

s (C

anad

a: A

nnua

l iss

ues)

and

per

sona

l com

mun

icat

ion,

Aug

. 21,

200

2.

TABL

E 1-

40: A

ir Pa

ssen

ger T

rave

l Arr

ival

s in

the

Unite

d St

ates

from

Sel

ecte

d Fo

reig

n Co

untri

es (T

hous

ands

) (Co

ntin

ued)

197

5 1

980

198

5 1

990

199

5 1

996

199

7 1

998

199

9 2

000

200

1

Page 92: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 73

TABL

E 1-

41: A

ir Pa

ssen

ger T

rave

l Dep

artu

res

from

the

Unite

d St

ates

to S

elec

ted

Fore

ign

Coun

tries

(Tho

usan

ds)

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Fla

g o

f ca

rrie

rU

nite

d S

tate

s5,

912

9,36

910

,696

17,6

2822

,231

22,9

0124

,302

24,5

1325

,457

27,4

3125

,483

Fore

ign

6,14

19,

886

11,7

9116

,418

20,7

9522

,884

25,3

8226

,350

28,3

9930

,068

27,1

11To

tal d

epar

tin

g p

asse

ng

ers

12,0

5319

,256

22,4

8734

,046

43,0

2645

,785

49,6

8450

,863

53,8

5657

,498

52,5

94

Co

un

try

of

deb

arka

tio

na

Aus

tral

ia10

324

523

254

056

061

460

660

768

680

671

3B

aham

a Is

land

s70

41,

006

1,15

11,

279

1,02

499

498

395

51,

027

1,13

71,

007

Bar

bado

s74

126

204

230

217

210

200

196

202

214

204

Bel

gium

134

231

249

395

340

380

513

622

713

740

586

Ber

mud

a37

246

738

927

719

919

621

520

720

618

915

0B

razi

l20

629

132

256

01,

024

1,13

51,

292

1,29

71,

134

1,19

41,

081

Can

adab

NN

N6,

870

7,40

58,

477

8,89

09,

647

9,91

310

,459

U

Chi

na/T

aiw

an41

9018

733

789

194

593

993

497

51,

026

944

Col

ombi

a17

129

929

427

746

146

756

758

858

562

264

9D

enm

ark

188

254

254

307

229

227

259

217

214

227

239

Dom

inic

an R

epub

lic32

244

352

889

699

51,

057

1,07

01,

108

1,26

31,

294

1,21

4Fr

ance

470

635

894

1,62

61,

868

2,02

12,

147

2,28

92,

544

3,08

22,

927

Ger

man

y64

91,

178

1,53

92,

339

2,88

32,

978

3,17

83,

210

3,36

43,

722

3,38

9

Gra

nd C

aym

an26

112

161

250

264

285

290

305

291

289

271

Gre

ece

123

190

210

129

194

206

192

181

170

170

126

Hai

ti81

124

169

201

292

288

284

295

315

296

300

Hon

g K

ong

5915

223

831

064

065

161

062

162

172

873

3Ir

elan

d16

321

223

331

140

944

948

855

474

380

979

7Is

rael

105

186

255

259

426

492

499

488

515

480

374

Italy

409

495

660

731

955

1,00

61,

055

1,04

11,

101

1,36

61,

182

Con

tinue

d ne

xt p

age

Page 93: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

74 � Chapter 1: The Transportation System

Jam

aica

416

382

607

888

987

988

1,01

81,

018

1,08

61,

095

1,08

4

Japa

n1,

183

1,60

22,

255

4,47

15,

452

6,18

76,

796

6,48

76,

709

6,98

55,

993

Kor

ea, R

epub

lic o

f60

186

333

723

1,25

21,

382

1,46

11,

032

1,10

11,

307

1,13

7M

exic

o1,

525

2,88

62,

671

4,13

64,

568

5,13

35,

613

5,77

16,

217

6,51

06,

025

Net

herla

nds

304

409

562

777

1,44

41,

636

1,92

01,

933

2,00

92,

107

1,85

4N

ethe

rland

Ant

illes

184

282

395

377

295

288

319

340

335

337

344

Pan

ama

Rep

ublic

100

142

209

183

214

221

240

272

299

344

355

Phi

lippi

nes

8116

016

519

528

127

530

621

827

234

830

9S

pain

260

273

397

540

573

577

615

669

708

782

732

Sw

itzer

land

224

306

434

600

712

760

811

906

983

1,03

890

5

Uni

ted

Kin

gdom

1,44

62,

840

3,32

24,

903

6,37

26,

693

7,47

58,

143

8,71

79,

154

8,18

0V

enez

uela

198

518

245

444

778

644

698

782

793

694

728

Tota

l10

,381

16,7

2219

,764

36,3

6144

,204

47,8

6251

,549

52,9

3355

,811

59,5

51U

KE

Y: N

= d

ata

do n

ot e

xist

; U =

dat

a ar

e no

t ava

ilabl

e.

aC

ount

ry w

here

pas

seng

er d

eboa

rded

a d

irec

t fl

ight

fro

m t

he U

nite

d St

ates

.b

Can

adia

n fi

gure

rep

rese

nts

num

ber

of r

even

ue p

asse

nger

s on

sch

edul

ed c

omm

erci

al a

nd c

hart

er f

light

s. D

oes

not

incl

ude

fore

ign

(non

-Can

adia

n, n

on-U

.S.)

sc

hedu

led

carr

iers

.

NO

TE

SIn

clud

es p

asse

nger

s on

inte

rnat

iona

l com

mer

cial

flig

hts

depa

rtin

g U

.S. a

irpo

rts,

and

tra

vele

rs b

etw

een

U.S

. air

port

s in

the

50

stat

es, P

uert

o R

ico,

Gua

m, o

r th

e V

irgi

n Is

land

s, a

nd o

ther

U.S

. ter

rito

ries

. Dat

a co

mpi

led

from

flig

ht r

epor

ts r

equi

red

by t

he U

.S. I

mm

igra

tion

and

Nat

ural

izat

ion

Serv

ice.

Tab

le in

clud

es a

se

lect

ed s

ampl

e of

cou

ntri

es o

f de

bark

atio

n fo

r pa

ssen

gers

boa

rdin

g in

the

Uni

ted

Stat

es. B

ecau

se t

wo

diff

eren

t da

ta s

ourc

es a

re u

sed,

the

tot

al n

umbe

r of

de

part

ing

pass

enge

rs m

ay b

e le

ss t

han

the

tota

l for

“co

untr

y of

deb

arka

tion

” lis

ted

here

.

SOU

RC

ES

1975

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, R

esea

rch

and

Spec

ial P

rogr

ams

Adm

inis

trat

ion,

Vol

pe N

atio

nal T

rans

port

atio

n Sy

stem

s C

ente

r, U

.S. I

nter

nati

onal

A

ir T

rave

l Sta

tist

ics

(Cam

brid

ge, M

A: A

nnua

l iss

ues)

, tab

le I

Id.

1995

: U.S

. Dep

artm

ent

of C

omm

erce

, Int

erna

tion

al T

rade

Adm

inis

trat

ion,

U.S

. Int

erna

tion

al A

ir P

asse

nger

Sta

tist

ics

Rep

ort,

Cal

enda

r Y

ear

1995

(W

ashi

ngto

n,

DC

: 199

6), t

able

IId

. 19

96-2

001:

Ibi

d., U

.S. I

nter

nati

onal

Air

Tra

vel S

tati

stic

s R

epor

t (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le I

Id. C

anad

a: S

tati

stic

s C

anad

a, A

ir C

arri

er T

raff

ic a

t C

anad

ian

Air

port

s (C

anad

a: A

nnua

l iss

ues)

and

per

sona

l com

mun

icat

ion,

Aug

. 21,

200

2.

TABL

E 1-

41: A

ir Pa

ssen

ger T

rave

l Dep

artu

res

from

the

Unite

d St

ates

to S

elec

ted

Fore

ign

Coun

tries

(Tho

usan

ds) (

Cont

inue

d)

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Page 94: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 75

TABLE 1-42: U.S.-Canadian Border Land-Passenger Gateways: Entering the United States, 2000-2001

All U.S.-Canadian land gateways 2000 2001All personal vehicle passengers 90,046,948 All personal vehicle passengers 74,971,105All personal vehicles 36,915,053 All personal vehicles 34,308,013All bus passengers 4,872,943 All bus passengers 4,456,436All pedestrians 585,191 All pedestrians 749,805All train passengers 269,502 All train passengers 253,652All buses 189,264 All buses 169,412Personal vehicle passengers – top 5 gatewaysDetroit, MI 21,723,936 Buffalo-Niagara Falls, NY 16,571,352Buffalo-Niagara Falls, NY 16,523,141 Detroit, MI 15,156,971Blaine, WA 8,234,557 Blaine, WA 6,926,914Port Huron, MI 6,865,507 Port Huron, MI 4,698,825Sault Ste. Marie, MI 3,881,423 Champlain-Rouses Point, NY 2,902,006Personal vehicles – top 5 gatewaysDetroit, MI 8,360,352 Detroit, MI 7,585,477Buffalo-Niagara Falls, NY 7,657,846 Buffalo-Niagara Falls, NY 7,396,036Blaine, WA 3,332,147 Blaine, WA 2,892,208Port Huron, MI 2,332,469 Port Huron, MI 2,198,962Calais, ME 1,414,327 Calais, ME 1,232,755Bus passengers – top 5 gatewaysBuffalo-Niagara Falls, NY 1,973,016 Buffalo-Niagara Falls, NY 1,618,598Detroit, MI 857,607 Detroit, MI 989,750Blaine, WA 441,320 Blaine, WA 382,273Champlain-Rouses Point, NY 317,205 Champlain-Rouses Point, NY 291,421Port Huron, MI 155,153 Port Huron, MI 140,955Pedestrians – top 5 gatewaysBuffalo-Niagara Falls, NY 280,941 Buffalo-Niagara Falls, NY 414,704Sumas, WA 57,222 Sumas, WA 98,968Calais, ME 51,033 Calais, ME 49,148

Portland, MEa 29,495 Portland, MEa 32,876

International Falls-Rainer, MN 26,456 International Falls-Rainer, MN 27,287Train passengers – top 5 gatewaysBuffalo-Niagara Falls, NY 53,603 Buffalo-Niagara Falls, NY 53,337Blaine, WA 46,343 Blaine, WA 43,136Port Huron, MI 40,633 Champlain-Rouses Point, NY 35,257Champlain-Rouses Point, NY 38,459 Skagway, AK 33,753Skagway, AK 35,253 Port Huron, MI 33,130Buses – top 5 gatewaysBuffalo-Niagara Falls, NY 66,771 Buffalo-Niagara Falls, NY 53,231Detroit, MI 41,234 Detroit, MI 39,754Blaine, WA 18,104 Blaine, WA 16,561Champlain-Rouses Point, NY 11,728 Champlain-Rouses Point, NY 10,374Skagway, AK 8,579 Sault Ste. Marie, MI 8,719

a Gateway is a pedestrian/ferry combination crossing.

NOTEData reflect all personal vehicles, buses, passengers and pedestrians entering the United States across the U.S.-

Canadian border, regardless of nationality.

SOURCEU.S. Department of Transportation, Bureau of Transportation Statistics, special tabulation, August 2002. Based

on the following primary data source: U.S. Department of Treasury, U.S. Customs Service, Office of Field Operations, Operations Management Database (Washington, DC: 2001).

Page 95: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

76 � Chapter 1: The Transportation System

TABLE 1-43: U.S.-Mexican Border Land-Passenger Gateways: Entering the United States, 2000-2001

All U.S.-Mexican land gateways 2000 2001 All personal vehicle passengers 239,794,552 All personal vehicle passengers 209,105,846

All personal vehicles 91,156,796 All personal vehicles 89,526,957All pedestrians 47,089,642 All pedestrians 51,501,321All bus passengers 3,465,916 All bus passengers 3,366,795

All buses 270,792 All buses 288,285All train passengers 18,254 All train passengers 18,895Personal vehicle passengers – top 5 gatewaysEl Paso, TX 48,420,274 El Paso, TX 39,200,481San Ysidro, CA 31,025,343 San Ysidro, CA 33,003,554Hidalgo, TX 21,947,731 Hidalgo, TX 17,713,609

Calexico, CA 20,094,460 Laredo, TX 17,282,264Brownsville, TX 19,693,130 Brownsville, TX 16,951,901Personal vehicles – top 5 gatewaysEl Paso, TX 16,697,439 El Paso, TX 16,135,835San Ysidro, CA 14,106,704 San Ysidro, CA 15,001,616Hidalgo, TX 8,779,691 Hidalgo, TX 7,549,907

Brownsville, TX 7,877,255 Brownsville, TX 7,548,394Laredo, TX 7,151,127 Laredo, TX 7,454,330Pedestrians – top 5 gatewaysCalexico, CA 8,352,324 San Ysidro, CA 11,435,946San Ysidro, CA 7,542,450 El Paso, TX 7,201,100Hidalgo, TX 5,825,155 Calexico, CA 7,119,785

Laredo, TX 5,492,769 Laredo, TX 5,060,947Nogales, AZ 4,677,819 Nogales, AZ 4,874,738Bus passengers – top 5 gatewaysOtay Mesa, CA 845,775 San Ysidro, CA 897,047San Ysidro, CA 783,762 Laredo, TX 720,559Hidalgo, TX 648,751 Hidalgo, TX 659,450

Laredo, TX 608,184 Otay Mesa, CA 457,980El Paso, TX 155,493 El Paso, TX 195,399Buses – top 5 gatewaysSan Ysidro, CA 101,244 San Ysidro, CA 102,627Otay Mesa, CA 47,683 Otay Mesa, CA 57,954Laredo, TX 34,529 Laredo, TX 39,718

Hidalgo, TX 31,836 Hidalgo, TX 33,017Brownsville, TX 16,073 Brownsville, TX 14,026Train passengers – top 5 gatewaysEagle Pass, TX 5,792 Eagle Pass, TX 6,704Nogales, AZ 4,752 Tecate, CA 5,018Tecate, CA 3,418 Nogales, AZ 2,648

El Paso, TX 2,188 El Paso, TX 2,337Calexico East, CA 1,687 Calexico East, CA 1,722

NOTEData reflect all personal vehicles, buses, passengers and pedestrians entering the United States across the

U.S.-Mexican border, regardless of nationality.

SOURCEU.S. Department of Transportation, Bureau of Transportation Statistics, special tabulation, August 2002.

Based on the following primary data source: U.S. Department of Treasury, U.S. Customs Service, Office of Field Operations, Operations Management Database (Washington, DC: 2001).

Page 96: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 77

TABL

E 1-

44: U

.S. T

on-M

iles

of F

reig

ht (M

illio

ns)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

TOTA

L U

.S. t

on

-mile

s o

f fr

eig

ht

(mill

ion

s)U

1,85

4,03

42,

206,

713

2,28

4,70

62,

988,

522

2,94

9,41

03,

195,

677

3,64

8,03

63,

724,

723

3,68

2,43

73,

710,

237

3,81

4,22

5U

Air

car

rier

, do

mes

tic

all s

ervi

cesa

553

1,35

32,

709

3,47

04,

528

5,15

69,

064

12,5

2012

,861

13,6

0113

,840

14,2

0214

,983

Inte

rcit

y tr

uck

b28

5,00

035

9,00

041

2,00

045

4,00

055

5,00

061

0,00

073

5,00

092

1,00

097

2,00

099

6,00

01,

027,

000

P1,

093,

000

U

Cla

ss I

railc

572,

309

697,

878

764,

809

754,

252

918,

958

876,

984

1,03

3,96

91,

305,

688

1,35

5,97

51,

348,

926

1,37

6,80

21,

433,

461

1,46

5,96

0

Do

mes

tic

wat

er

tran

spo

rtat

iond

U48

9,80

359

6,19

556

5,98

492

1,83

689

2,97

083

3,54

480

7,72

876

4,68

770

7,41

067

2,79

565

5,86

264

5,79

9

Coa

stw

ise

U30

2,54

635

9,78

431

5,84

6e

631,

149

610,

977

479,

134

440,

345

408,

086

349,

843

314,

864

292,

730

283,

872

Lake

wis

eU

75,9

1879

,416

68,5

1761

,747

48,1

8460

,930

59,7

0458

,335

62,1

6661

,654

57,0

4557

,879

Inte

rnal

U10

9,70

115

5,81

618

0,39

922

7,34

323

2,70

829

2,39

330

6,32

929

6,79

129

4,02

329

4,89

630

4,72

430

2,55

8In

trap

ort

U1,

638

1,17

91,

222

1,59

61,

102

1,08

71,

350

1,47

51,

378

1,38

11,

362

1,49

0

Oil

pip

elin

eb22

9,00

030

6,00

043

1,00

050

7,00

058

8,20

056

4,30

058

4,10

060

1,10

061

9,20

061

6,50

061

9,80

061

7,70

057

7,30

0

KE

Y: P

= p

relim

inar

y; U

= d

ata

are

not a

vaila

ble.

aIn

clud

es f

reig

ht, e

xpre

ss, a

nd m

ail r

even

ue t

on-m

iles

as r

epor

ted

on U

.S. D

OT

For

m 4

1.

bIn

terc

ity

truc

k an

d oi

l pip

elin

e es

tim

ates

are

rep

orte

d in

bill

ions

. The

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs c

onve

rted

the

se

esti

mat

es t

o m

illio

ns.

cR

even

ue t

on-m

iles.

dE

xclu

des

intr

ater

rito

rial

tra

ffic

, for

whi

ch t

on-m

iles

wer

e no

t co

mpi

led.

eR

efle

cts

star

tup

betw

een

1975

and

198

0 of

Ala

ska

pipe

line

and

cons

eque

nt w

ater

tra

nspo

rtat

ion

of c

rude

pet

role

um f

rom

Ala

skan

por

ts t

o m

ainl

and

Uni

ted

Stat

es f

or r

efin

ing.

NO

TE

Dom

esti

c w

ater

tra

nspo

rtat

ion

num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

Air

car

rier

, dom

esti

c, a

ll se

rvic

es:

1960

-65:

Civ

il A

eron

auti

cs B

oard

, Han

dboo

k of

Air

line

Stat

isti

cs, 1

969

(Was

hing

ton,

DC

: 197

0).

1970

-80:

Ibi

d., A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, p. 2

, lin

e 3.

1985

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n,

DC

: Ann

ual i

ssue

s), p

. 2, l

ine

3.

Inte

rcit

y tr

uck:

19

60-9

9: E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n in

Am

eric

a, 2

000

(Was

hing

ton,

DC

: 200

1), p

. 12.

Cla

ss I

rai

l:19

60-2

000:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: 200

1), p

. 27.

Dom

esti

c w

ater

tra

nspo

rtat

ion:

1965

-200

0: U

.S. A

rmy

Cor

ps o

f E

ngin

eers

, Wat

erbo

rne

Com

mer

ce o

f th

e U

.S. (

New

Orl

eans

, LA

: Ann

ual i

ssue

s), p

art

5, s

ecti

on 1

, tab

le 1

-4, a

nd s

imila

r ta

bles

in

ear

lier

edit

ions

.O

il pi

pelin

e:19

60-7

0: E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n in

Am

eric

a, 1

998

(Was

hing

ton,

DC

: 199

8), p

. 44.

1975

: Ass

ocia

tion

of

Oil

Pipe

Lin

es, S

hift

s in

Pet

role

um T

rans

port

atio

n (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le 4

.19

80-2

000:

Ibi

d., S

hift

s in

Pet

role

um T

rans

port

atio

n (

Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

1.

Page 97: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

78 � Chapter 1: The Transportation SystemTA

BLE

1-45

: Ave

rage

Len

gth

of H

aul,

Dom

estic

Fre

ight

and

Pas

seng

er M

odes

(Mile

s)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Fre

igh

tA

ir ca

rrie

r95

394

31,

014

1,08

21,

052

1,15

71,

389

1,16

01,

181

1,07

71,

078

1,00

1U

Truc

ka27

225

926

328

636

336

639

141

642

643

544

245

8U

Cla

ss I

rail

461

503

515

541

616

665

726

843

842

851

835

835

843

Wat

erC

oast

wis

e1,

496

1,50

11,

509

1,36

21,

915

1,97

21,

604

1,65

21,

526

1,33

01,

261

1,27

91,

251

Lake

wis

e52

249

450

653

053

652

455

351

450

850

750

550

150

6In

tern

al28

229

733

035

840

543

547

049

447

746

647

248

848

1In

trap

ort

U U

U16

1715

1316

1715

1515

16O

il pi

pelin

eC

rude

325

320

300

633

871

777

812

797

779

781

767

766

UP

etro

leum

pro

duct

s26

933

535

751

641

439

138

740

241

341

342

041

8U

Pas

sen

ger

Air

carr

ier,

583

614

678

698

736

758

803

791

802

817

812

824

833

dom

estic

, sch

edul

edB

us, i

nter

city

7994

106

113

125

121

141

140

143

144

144

143

UC

omm

uter

rai

l21

2122

2323

2422

2424

2323

23U

Am

trak

bN

NN

236

216

231

273

268

257

256

252

248

244

KE

Y: N

= d

ata

do n

ot e

xist

; U =

dat

a ar

e no

t ava

ilabl

e.

aTo

tal C

lass

I a

nd C

lass

II

mot

or c

arri

ers

of f

reig

ht (

less

-tha

n-tr

uckl

oad,

spe

cial

ized

car

rier

for

tru

cklo

ad, a

nd o

ther

s).

bA

mtr

ak b

egan

ope

rati

ons

in 1

971.

Dat

a ar

e re

port

ed f

or f

isca

l yea

rs.

NO

TE

SA

vera

ge le

ngth

of

haul

for

fre

ight

is c

alcu

late

d by

div

idin

g to

n-m

iles

in t

he p

revi

ous

tabl

e by

est

imat

es o

f to

nnag

e fr

om t

he v

ario

us d

ata

sour

ces.

The

cal

cula

tion

of

ave

rage

leng

th o

f ha

ul f

or p

asse

nger

tri

ps v

arie

s by

mod

e: f

or a

ir c

arri

er it

is c

alcu

late

d by

div

idin

g re

venu

e pa

ssen

ger-

mile

s by

rev

enue

pas

seng

er e

npla

ne-

men

ts; f

or c

omm

uter

rai

l, in

terc

ity

bus,

and

Am

trak

it is

cal

cula

ted

by d

ivid

ing

pass

enge

r-m

iles

by n

umbe

r of

pas

seng

ers.

SOU

RC

ES

Frei

ght:

Air

car

rier

, tru

ck:

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

In A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

001)

, p. 5

1.C

lass

I r

ail:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: 200

1), p

. 36.

Wat

er:

U.S

. Arm

y C

orps

of

Eng

inee

rs, W

ater

born

e C

omm

erce

of

the

Uni

ted

Stat

es, P

art

5 (N

ew O

rlea

ns, L

A: A

nnua

l iss

ues)

, sec

tion

1, t

able

1-4

O

il pi

pelin

e:19

60-7

0: T

rans

port

atio

n Po

licy

Ass

ocia

tes,

Was

hing

ton,

DC

, per

sona

l com

mun

icat

ion.

1975

-99:

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

001)

, p. 5

1.Pa

ssen

ger:

A

ir c

arri

er:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, O

ffic

e of

Air

line

Info

rmat

ion,

Air

Car

rier

Tra

ffic

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual

issu

es).

In

terc

ity

bus

and

com

mut

er r

ail:

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

001)

, p. 5

0.A

mtr

ak:

1970

-85:

Am

trak

, cor

pora

te c

omm

unic

atio

n, J

an. 2

6, 1

999.

1990

-200

0: A

mtr

ak, A

mtr

ak A

nnua

l Rep

ort

(Was

hing

ton,

DC

: 200

1), S

tati

stic

al A

ppen

dix,

pp.

23-

25.

Page 98: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 79

TABL

E 1-

46: T

op U

.S. F

orei

gn T

rade

Fre

ight

Gat

eway

s by

Val

ue o

f Shi

pmen

ts (C

urre

nt $

bill

ions

)

2000

2001

Gat

eway

Typ

eR

ank

Exp

ort

sIm

po

rts

Tota

lR

ank

Exp

ort

sIm

po

rts

Tota

lJF

K In

tern

atio

nal A

irpor

t, N

YA

ir1

56.0

75.5

131.

61

50.1

66.5

116.

6P

ort o

f Los

Ang

eles

, CA

Wat

er2

16.7

85.1

101.

82

17.4

86.8

104.

2P

ort o

f Lon

g B

each

, CA

Wat

er3

16.9

81.3

98.2

316

.778

.094

.7

Por

t of D

etro

it, M

ILa

nd4

49.5

44.9

94.4

449

.242

.892

.0P

ort o

f New

Yor

k, N

Y a

nd N

JW

ater

719

.761

.280

.95

22.7

63.2

85.9

Por

t of L

ared

o, T

XLa

nd6

39.2

44.4

83.7

634

.744

.979

.6

Los

Ang

eles

Inte

rnat

iona

l Airp

ort,

CA

Air

841

.735

.677

.37

34.0

29.9

63.9

San

Fra

ncis

co A

irpo

rt, C

AA

ir5

41.8

46.9

88.7

832

.329

.662

.0P

ort o

f Buf

falo

-Nia

gara

Fal

ls, N

YLa

nd9

36.2

33.9

70.1

929

.431

.160

.5

Por

t of H

uron

, MI

Land

1018

.840

.959

.710

17.3

38.4

55.6

Chi

cago

, IL

Air

1120

.425

.445

.711

19.9

25.0

44.9

Por

t of H

oust

on, T

XW

ater

1218

.724

.643

.412

19.5

25.0

44.5

Por

t of E

l Pas

o, T

XLa

nd13

17.5

21.9

39.4

1315

.922

.037

.9P

ort o

f Cha

rlest

on, S

CW

ater

1611

.320

.231

.514

12.5

20.9

33.4

Por

t of S

eattl

e, W

AW

ater

145.

426

.932

.315

5.3

23.3

28.6

New

Orle

ans,

LA

Air

1516

.215

.932

.016

13.8

13.5

27.4

Por

t of O

akla

nd, C

AW

ater

189.

615

.525

.117

7.7

17.2

25.0

Por

t of N

orfo

lk H

arbo

r, V

AW

ater

1711

.114

.125

.218

11.3

13.6

24.9

Mia

mi I

nter

natio

nal A

irpo

rt, F

LA

ir20

15.9

7.7

23.6

1915

.47.

222

.6A

ncho

rage

, AK

Air

213.

519

.723

.220

5.1

16.8

21.9

Por

t of B

altim

ore,

MD

Wat

er22

5.3

15.3

20.6

215.

115

.720

.8

Cle

vela

nd, O

HA

ir19

11.8

12.7

24.5

229.

210

.519

.7P

ort o

f Ota

y M

esa

Sta

tion,

CA

Land

258.

110

.718

.823

8.2

11.2

19.4

Dal

las-

Fort

Wor

th, T

XA

ir23

10.1

10.2

20.4

248.

810

.018

.8

Por

t of T

acom

a, W

AW

ater

244.

415

.519

.825

4.3

14.4

18.7

Por

t of S

avan

nah,

GA

Wat

er30

5.9

10.5

16.3

266.

410

.717

.2P

ort o

f New

Orle

ans,

LA

Wat

er26

7.6

11.2

18.8

278.

18.

817

.0

Por

t of M

iam

i, F

LW

ater

278.

49.

117

.528

8.5

8.1

16.6

Por

t of C

ham

plai

n-R

ouse

s P

t., N

YLa

nd28

6.0

11.3

17.3

295.

910

.216

.2A

tlant

a, G

AA

ir29

8.4

8.7

17.2

307.

68.

315

.8

Por

t of N

ogal

es, A

ZLa

nd31

5.3

8.3

13.6

314.

67.

912

.5P

ort o

f Hid

algo

, TX

Land

326.

26.

412

.632

5.7

6.7

12.4

Por

t of B

lain

e, W

ALa

nd33

5.6

6.7

12.3

335.

16.

611

.7

Por

t of B

row

nsvi

lle-C

amer

on, T

XLa

nd34

6.2

5.9

12.1

345.

85.

110

.9C

ontin

ued

next

pag

e

Page 99: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

80 � Chapter 1: The Transportation System

Por

t of J

acks

onvi

lle, F

LW

ater

431.

98.

410

.335

2.0

8.8

10.8

Por

t of P

ortla

nd, O

RW

ater

413.

07.

510

.536

2.7

8.0

10.7

Por

t of A

lexa

ndria

Bay

, NY

Land

354.

67.

412

.037

4.1

6.6

10.6

Por

t of P

ort E

verg

lade

s, F

LW

ater

404.

75.

810

.538

4.4

5.9

10.3

Por

t of S

outh

Lou

isia

na, L

AW

ater

367.

14.

011

.139

6.5

3.5

10.0

Por

t of P

hila

delp

hia,

PA

Wat

er45

0.5

9.5

10.0

400.

69.

410

.0

New

ark,

NJ

Air

383.

96.

710

.641

3.2

6.2

9.4

Bos

ton

Loga

n A

irpo

rt, M

AA

ir44

5.9

4.4

10.3

425.

73.

69.

2P

ort o

f Pem

bina

, ND

Land

395.

35.

210

.643

4.4

4.5

8.9

Sea

ttle-

Taco

ma

Inte

rnat

iona

l Air

port

, WA

Air

473.

74.

88.

544

3.5

5.3

8.8

Phi

lade

lphi

a In

tern

atio

nal A

irpo

rt, P

AA

ir56

3.2

2.8

6.0

454.

93.

98.

8P

ort o

f Sw

eetg

rass

, MT

Land

493.

44.

47.

846

3.8

4.4

8.3

Por

t of M

orga

n C

ity, L

AW

ater

460.

19.

39.

447

0.1

7.7

7.8

San

Jua

n In

tern

atio

nal A

irpo

rt, P

RA

ir58

2.6

2.7

5.4

483.

74.

17.

8H

oust

on In

tern

atio

nal A

irpo

rt, T

XA

ir52

4.5

2.7

7.2

494.

82.

97.

7

Por

t of C

orpu

s C

hris

ti, T

XW

ater

421.

68.

710

.350

1.2

6.5

7.7

Tota

l top

50

gate

way

sN

Aa 6

18.9

a 989

.1a 1

,608

.1N

A57

9.5

920.

81,

500.

3

KE

Y: U

= d

ata

are

not a

vaila

ble;

NA

= n

ot a

pplic

able

.

aB

ased

on

top

50 f

reig

ht g

atew

ays

in 2

000.

NO

TE

SA

ll da

ta: T

rade

leve

ls r

efle

ct t

he m

ode

of t

rans

port

atio

n as

a s

hipm

ent

ente

rs o

r ex

its

at a

bor

der

port

. Flo

ws

thro

ugh

indi

vidu

al p

orts

are

bas

ed o

n re

port

ed d

ata

colle

cted

fro

m U

.S. t

rade

doc

umen

ts. T

rade

doe

s no

t in

clud

e lo

w-v

alue

shi

pmen

ts. (

In g

ener

al, t

hese

are

impo

rts

valu

ed a

t le

ss t

han

$1,2

50 a

nd e

xpor

ts t

hat

are

valu

ed a

t le

ss t

han

$2,5

00).

Air

: Dat

a fo

r al

l air

gat

eway

s in

clud

e a

low

leve

l (ge

nera

lly le

ss t

han

2%-3

% o

f th

e to

tal v

alue

) of

smal

l use

r-fe

e ai

rpor

ts lo

cate

d in

the

sam

e re

gion

. Air

gat

eway

s no

t id

enti

fied

by

airp

ort

nam

e (e

.g.,

Chi

cago

, IL

, and

oth

ers)

incl

ude

maj

or a

irpo

rt(s

) in

tha

t ge

ogra

phic

are

a in

add

itio

n to

sm

all r

egio

nal a

irpo

rts.

In

addi

-ti

on, d

ue t

o B

urea

u of

Cen

sus

conf

iden

tial

ity

regu

lati

ons,

dat

a fo

r co

urie

r op

erat

ions

are

incl

uded

in t

he a

irpo

rt t

otal

s fo

r JF

K I

nter

nati

onal

Air

port

, New

O

rlea

ns, L

os A

ngel

es, C

leve

land

, Chi

cago

, Mia

mi,

and

Anc

hora

ge.

Wat

er: T

he P

ort

of S

outh

Lou

isia

na in

clud

es t

he f

ollo

win

g in

divi

dual

por

ts in

Lou

isia

na: D

estr

ehan

, Gra

mer

cy, S

t. R

ose,

and

Goo

d H

ope.

In 2

000,

Por

t of

Bea

umon

t, T

X (

wat

er)

rank

ed 3

7th,

Por

t of

Cal

exic

o-E

ast,

CA

(la

nd)

rank

ed 4

8th,

and

Por

t of

Hig

hgat

e Sp

ring

s-A

lbur

g, V

T (

land

) ra

nked

50t

h.N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

ES

Air

: U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of t

he C

ensu

s, F

orei

gn T

rade

Div

isio

n, s

peci

al t

abul

atio

n, A

ugus

t 20

02.

Wat

er: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Mar

itim

e A

dmin

istr

atio

n, O

ffic

e of

Sta

tist

ical

and

Eco

nom

ic A

naly

sis,

per

sona

l com

mun

icat

ion,

Aug

. 27,

200

2.L

and:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, T

rans

bord

er S

urfa

ce F

reig

ht D

ata,

Aug

ust

2002

.

TABL

E 1-

46: T

op U

.S. F

orei

gn T

rade

Fre

ight

Gat

eway

s by

Val

ue o

f Shi

pmen

ts (C

urre

nt $

bill

ions

) (Co

ntin

ued)

2000

2001

Gat

eway

Typ

eR

ank

Exp

ort

sIm

po

rts

Tota

lR

ank

Exp

ort

sIm

po

rts

Tota

l

Page 100: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 81

TABLE 1-47: U.S.-Canadian Border Land-Freight Gateways: Number of Truck or Railcar Crossings, 2000-2001

Truck 2000 2001Total U.S.-Canadian border 7,048,128 Total U.S.-Canadian border 6,776,909Total top 5 gateways 4,714,339 Total top 5 gateways 4,448,865Detroit, MI 1,769,389 Detroit, MI 1,642,042

Buffalo-Niagara Falls, NY 1,198,085 Buffalo-Niagara Falls, NY 1,123,971Port Huron, MI 839,200 Port Huron, MI 828,802Blaine, WA 516,829 Blaine, WA 471,731

Champlain-Rouses Point, NY 390,836 Champlain-Rouses Point, NY 382,319

Rail Total U.S.-Canadian border 1,594,837 Total U.S.-Canadian border 1,779,345Total top 5 gateways 1,169,034 Total top 5 gateways 1,277,982Port Huron, MI 425,211 Port Huron, MI 449,299

Detroit, MI 237,968 Detroit, MI 304,591Buffalo-Niagara Falls, NY 181,462 International Falls, MN 205,430International Falls, MN 171,551 Portal, ND 168,137

Portal, ND 152,842 Buffalo-Niagara Falls, NY 150,525

NOTESTruck: Data represent the number of truck crossings, not the number of unique vehicles. Data are for both

loaded and empty trucks.Rail: Data includes both loaded and unloaded railcars.

SOURCEU.S. Department of Transportation, Bureau of Transportation Statistics, special tabulation, August 2002.

Based on the following primary data source: U.S. Department of Treasury, U.S. Customs Service, Office of Field Operations, Operations Management Database, special tabulation (Washington, DC: 2001).

Page 101: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

82 � Chapter 1: The Transportation System

TABLE 1-48: U.S.-Mexican Border Land-Freight Gateways: Number of Truck or Railcar Crossings, 2000-2001

Truck 2000 2001Total U.S.-Mexican border 4,525,579 Total U.S.-Mexican border 4,304,959Total top 5 gateways 3,575,207 Total top 5 gateways 3,398,053Laredo, TX 1,493,073 Laredo, TX 1,403,914

El Paso, TX 720,406 Otay Mesa/San Ysidro, CA 708,446Otay Mesa/San Ysidro, CA 688,340 El Paso, TX 660,583Hidalgo, TX 374,150 Hidalgo, TX 368,395

Brownsville, TX 299,238 Calexico East, CA 256,715RailTotal U.S.-Mexican border 571,825 Total U.S.-Mexican border 582,652Total top 5 gateways 562,710 Total top 5 gateways 572,034Laredo, TX 243,369 Laredo, TX 273,935Brownsville, TX 139,803 Brownsville, TX 101,787

Eagle Pass, TX 94,113 Eagle Pass, TX 93,108Nogales, AZ 50,602 Nogales, AZ 58,667El Paso, TX 34,823 El Paso, TX 44,537

NOTESTruck: Data represent the number of truck crossings, not the number of unique vehicles. Data are for both

loaded and empty trucks. Rail: Data includes both loaded and unloaded railcars.

SOURCEU.S. Department of Transportation, Bureau of Transportation Statistics, special tabulation, August 2002.

Based on the following primary data source: U.S. Department of Treasury, U.S. Customs Service, Office of Field Operations, Operations Management Database, special tabulation (Washington, DC: 2001).

Page 102: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 83

TABL

E 1-

49: U

.S. W

ater

born

e Fr

eigh

t (M

illio

n sh

ort t

ons)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

200

0TO

TAL

1,09

9.9

1,27

2.9

1,53

1.7

1,69

5.0

1,99

8.9

1,78

8.4

2,16

3.9

2,24

0.4

2,28

4.1

2,33

3.1

2,33

9.5

2,32

2.6

2,46

1.6

Fo

reig

n, t

ota

l33

9.3

443.

758

1.0

748.

792

1.4

774.

31,

041.

61,

147.

41,

183.

41,

220.

61,

245.

41,

260.

81,

391.

8Im

port

s21

1.3

269.

833

9.3

476.

651

7.5

412.

760

0.0

672.

773

2.6

788.

384

0.7

860.

897

6.8

Exp

orts

128.

017

3.9

241.

627

2.1

403.

936

1.6

441.

647

4.7

450.

843

2.3

404.

740

0.0

415.

0D

omes

tic, t

otal

760.

682

9.2

950.

794

6.3

1,07

7.5

1,01

4.1

1,12

2.3

1,09

3.0

1,10

0.7

1,11

2.5

1,09

4.1

1,06

1.8

1,06

9.8

Inla

nd29

1.1

369.

647

2.1

503.

953

5.0

534.

762

2.6

620.

362

2.1

630.

662

5.0

624.

662

8.4

Coa

stal

209.

220

1.5

238.

423

1.9

329.

630

9.8

298.

626

6.6

267.

426

3.1

249.

622

8.8

226.

9G

reat

Lak

es15

5.1

153.

715

7.1

129.

311

5.1

92.0

110.

211

6.1

114.

912

2.7

122.

211

3.9

114.

4In

trap

ort

104.

210

2.9

81.5

78.3

94.2

74.3

86.4

83.1

89.0

89.8

90.1

88.7

94.6

Intr

ater

ritor

y1.

01.

51.

62.

93.

63.

44.

56.

97.

36.

37.

25.

95.

5

NO

TE

SB

egin

ning

in 1

996,

shi

pmen

ts o

f fi

sh a

re e

xclu

ded

from

dom

esti

c to

nnag

e to

tals

.

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

1960

-200

0: U

.S. A

rmy

Cor

ps o

f E

ngin

eers

, Wat

erbo

rne

Com

mer

ce o

f th

e U

nite

d St

ates

(N

ew O

rlea

ns, L

A: M

arch

200

2), p

art

5, t

able

s 1-

3 an

d 1-

6.

Page 103: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

84 � Chapter 1: The Transportation System

TABLE 1-50: Tonnage of Top 50 U.S. Water Ports, Ranked by Total Tonsa

1990 2000

RankTotal tons (Millions) Rank

Total tons (Millions)

Percent change1990-2000

South Louisiana, LA 1 194.2 1 217.8 12.1%Houston, TX 3 126.2 2 191.4 51.7%New York, NY and NJ 2 140.0 3 138.7 -1.0%

New Orleans, LA 6 62.7 4 90.8 44.7%Corpus Christi, TX 7 62.0 5 83.1 34.0%Beaumont, TX 23 26.7 6 82.7 209.2%

Huntington, WV 34 17.3 7 76.9 344.1%Long Beach, CA 10 52.4 8 70.1 33.8%Baton Rouge, LA 5 78.1 9 65.6 -16.0%

Texas City, TX 12 48.1 10 61.6 28.1%Plaquemine, LA 8 56.6 11 59.9 5.9%Lake Charles, LA 16 40.9 12 55.5 35.8%

Mobile, AL 15 41.1 13 54.2 31.7%Pittsburgh, PA 19 35.5 14 53.9 51.9%Los Angeles, CA 13 46.4 15 48.2 4.0%

Valdez, AK 4 96.0 16 48.1 -49.9%Tampa, FL 11 51.6 17 46.5 -9.9%Philadelphia, PA 14 41.8 18 43.9 4.8%

Norfolk Harbor, VA 9 53.7 19 42.4 -21.1%Duluth-Superior, MN and WI 17 40.8 20 41.7 2.2%Baltimore, MD 18 39.5 21 40.8 3.3%

Portland, OR 21 27.5 22 34.3 25.0%St. Louis, MO and IL 22 27.1 23 33.3 23.0%Freeport, TX 40 14.5 24 31.0 113.8%

Portland, ME 51 10.8 25 29.3 172.3%Pascagoula, MS 24 26.5 26 28.7 8.4%Paulsboro, NJ 27 23.3 27 26.9 15.2%

Seattle, WA 30 21.6 28 24.2 12.0%Chicago, IL 28 22.5 29 23.9 6.2%Marcus Hook, PA 25 25.9 30 22.6 -12.7%

Port Everglades, FL 42 14.1 31 22.5 59.1%Tacoma, WA 31 21.4 32 22.3 4.0%Port Arthur, TX 20 30.7 33 21.4 -30.3%

Page 104: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 85

Charleston, SC 54 9.7 34 21.1 117.3%Boston, MA 29 21.9 35 20.8 -5.3%Jacksonville, FL 36 15.1 36 19.7 30.3%

Savannah, GA 44 13.6 37 19.7 45.0%Richmond, CA 32 21.2 38 19.5 -8.0%Memphis, TN 47 12.4 39 18.3 47.8%

Anacortes, WA 35 15.4 40 18.0 17.1%Detroit, MI 33 17.7 41 17.3 -2.5%Indiana Harbor, IN 37 14.7 42 16.2 10.3%

Honolulu, HI 50 11.3 43 15.8 39.3%Cleveland, OH 41 14.4 44 14.4 0.2%Cincinnati, OH 46 12.6 45 14.3 13.6%

Lorain, OH 43 14.0 46 14.2 1.5%San Juan, PR 39 14.5 47 13.9 -4.4%Newport News, VA 26 24.9 48 13.8 -44.6%

Toledo, OH 38 14.7 49 13.3 -9.2%Two Harbors, MN 48 12.3 50 13.1 6.2%Total top 50 1,877.9 2,217.3 18.1%

All ports 2,163.9 2,461.6 13.8%

a Tonnage totals include both domestic and foreign waterborne trade.

NOTESIn 1990, Grays Harbor, Washington, ranked 45th (12.8 tons) and Ashtabula, Ohio, ranked 49th (11.9 tons).Numbers may not add to totals due to rounding.

SOURCES1990: U.S. Army Corps of Engineers, Waterborne Commerce of the United States, Calendar Year 1990, Part 5,

National Summaries (New Orleans, LA: 1993), table 5-2. 2000: Ibid., Waterborne Commerce of the United States, Calendar Year 2000, Part 5, National Summaries

(New Orleans, LA: 2002), tables 1-1 and 5-2.

TABLE 1-50: Tonnage of Top 50 U.S. Water Ports, Ranked by Total Tonsa (Continued)

1990 2000

RankTotal tons (Millions) Rank

Total tons (Millions)

Percent change1990-2000

Page 105: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

86 � Chapter 1: The Transportation SystemTA

BLE

1-51

: Gro

wth

of F

reig

ht A

ctiv

ity in

the

Unite

d St

ates

: Com

paris

on o

f the

199

3 an

d 19

97 C

omm

odity

Flo

w S

urve

ys

Val

ue

Ton

sTo

n-m

iles

Mo

de

of

tran

spo

rtat

ion

1993

(bill

ion

$

1997

)

1997

(bill

ion

$

1997

)P

erce

nt

chan

ge

1993

(mill

ion

s)19

97(m

illio

ns)

Per

cen

tch

ang

e19

93(b

illio

ns)

1997

(bill

ion

s)P

erce

nt

chan

ge

TOTA

L a

ll m

od

es6,

360.

86,

944.

09.

29,

688.

511

,089

.714

.52,

420.

92,

661.

49.

9

Sin

gle

mo

des

, to

tal

5,37

6.3

5,71

9.6

6.4

8,92

2.3

10,4

36.5

17.0

2,13

6.9

2,38

3.5

11.5

Truc

ka4,

791.

04,

981.

54.

06,

385.

97,

700.

720

.686

9.5

1,02

3.5

17.7

For-

hire

truc

k2,

856.

12,

901.

31.

62,

808.

33,

402.

621

.262

9.0

741.

117

.8

Priv

ate

truc

kb1,

910.

42,

036.

56.

63,

543.

54,

137.

316

.823

5.9

268.

613

.9

Rai

l26

9.2

319.

618

.71,

544.

11,

549.

80.

494

2.6

1,02

2.5

8.5

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er67

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.813

.150

5.4

563.

411

.527

2.0

261.

7–3

.8S

hallo

w d

raft

44.3

53.9

21.7

362.

541

4.8

14.4

164.

418

9.3

15.2

Gre

at L

akes

1.3

1.5

15.4

33.0

38.4

16.4

12.4

13.4

8.2

Dee

p dr

aft

21.5

20.4

–4.9

109.

911

0.2

0.2

95.2

59.0

–38.

0A

ir (in

clud

es tr

uck

and

air)

151.

322

9.1

51.4

3.1

4.5

42.6

4.0

6.2

55.5

Pip

elin

ec97

.811

3.5

16.1

483.

661

8.2

27.8

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S

Mu

ltip

le m

od

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l72

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931

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1.5

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arce

l, U

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osta

l Ser

vice

or

cour

ier

612.

885

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39.7

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23.7

25.4

13.2

18.0

36.8

Truc

k an

d ra

il90

.475

.7–1

6.3

40.6

54.2

33.5

37.7

55.6

47.5

Truc

k an

d w

ater

10.2

8.2

–19.

468

.033

.2–5

1.2

40.6

34.8

–14.

4R

ail a

nd w

ater

4.0

1.8

–55.

279

.279

.30.

170

.277

.610

.5O

ther

mul

tiple

mod

es3.

54.

322

.018

.926

.238

.6S

18.6

S

Oth

er/u

nkn

ow

n m

od

es, t

ota

l26

3.6

278.

65.

754

0.5

436.

5–1

9.2

92.6

73.4

–20.

7

KE

Y: S

= d

ata

are

not p

ublis

hed

beca

use

of h

igh

sam

plin

g va

riabi

lity

or o

ther

rea

sons

.

aT

ruck

as

a si

ngle

mod

e in

clud

es s

hipm

ents

tha

t w

ent

by p

riva

te t

ruck

onl

y, f

or-h

ire

truc

k on

ly, o

r a

com

bina

tion

of

both

.b

Priv

ate

truc

k re

fers

to

a tr

uck

oper

ated

by

a te

mpo

rary

or

perm

anen

t em

ploy

ee o

f an

est

ablis

hmen

t or

the

buy

er/r

ecei

ver

of t

he s

hipm

ent.

cE

xclu

des

mos

t sh

ipm

ents

of

crud

e oi

l.

NO

TE

Num

bers

and

per

cent

s m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

and

U.S

. Dep

artm

ent

of C

omm

erce

, Cen

sus

Bur

eau,

199

7 E

cono

mic

Cen

sus,

Tra

nspo

r-ta

tion

, 199

7 C

omm

odit

y Fl

ow S

urve

y (W

ashi

ngto

n, D

C: D

ecem

ber

1999

), t

able

1b;

the

Bur

eau

of T

rans

port

atio

n St

atis

tics

con

vert

ed t

he v

alue

of

1993

com

-m

odit

ies

from

199

3 cu

rren

t do

llars

to

1997

con

stan

t do

llars

usi

ng B

urea

u of

Eco

nom

ic A

naly

sis

chai

n-ty

pe p

rice

def

lato

rs.

Page 106: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 87

TABL

E 1-

52: V

alue

, Ton

s, a

nd T

on-M

iles

of F

reig

ht S

hipm

ents

with

in th

e Un

ited

Stat

es b

y Do

mes

tic E

stab

lishm

ents

, 199

7

SC

TG

Co

mm

od

ity

des

crip

tio

nVa

lue

($ b

illio

ns)

Per

cen

tTo

ns

(mill

ion

s)P

erce

nt

Ton

-mile

s (b

illio

ns)

Per

cen

t

Val

ue

per

to

n

($)

Ave

rag

e m

iles

per

sh

ipm

ent

01Li

ve a

nim

als

and

live

fish

6.2

0.1

5.9

0.1

1.5

0.1

1,04

227

2

02C

erea

l gra

ins

59.6

0.9

489.

74.

420

0.6

7.5

122

125

03O

ther

agr

icul

tura

l pro

duct

s10

2.3

1.5

201.

71.

880

.83.

050

843

8

04A

nim

al fe

ed a

nd p

rodu

cts

of a

nim

al o

rigin

(N

EC

)66

.81.

021

9.7

2.0

46.8

1.8

304

79

05M

eat,

fish,

sea

food

, and

thei

r pr

epar

atio

ns18

3.8

2.6

79.5

0.7

36.4

1.4

2,31

213

7

06M

illed

gra

in p

rodu

cts,

pre

para

tions

, and

bak

ery

prod

ucts

109.

91.

610

2.7

0.9

48.5

1.8

1,06

912

2

07O

ther

pre

pare

d fo

odst

uffs

and

fats

and

oils

34

6.4

5.0

396.

93.

612

4.1

4.7

873

127

08A

lcoh

olic

bev

erag

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Page 107: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

88 � Chapter 1: The Transportation System

35E

lect

roni

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the

199

8 ed

itio

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Stat

isti

cs.

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ashi

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), t

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E 1-

52: V

alue

, Ton

s, a

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on-M

iles

of F

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hipm

ents

with

in th

e Un

ited

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mes

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ity

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crip

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illio

ns)

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cen

tTo

ns

(mill

ion

s)P

erce

nt

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-mile

s (b

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ns)

Per

cen

t

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per

to

n

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Ave

rag

e m

iles

per

sh

ipm

ent

Page 108: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 89

TABLE 1-53: Value of U.S. Land Exports to and Imports from Canada and Mexico by Mode ($ millions)

1994 1995 1996 1997 1998 1999 2000 2001Exports to CanadaTruck 89,151.1 97,423.4 102,743.0 111,173.8 114,806.1 123,140.0 129,825.3 117,694.5Rail 13,593.9 15,271.9 15,678.7 13,255.6 12,279.6 11,754.6 12,946.5 12,972.7

Pipeline 133.8 121.3 162.2 180.6 93.4 113.9 161.6 221.3

Othera 21,753.2 17,010.5 20,467.5 9,336.1 10,559.5 11,360.0 11,913.4 14,772.0

Mail 69.3 57.0 58.3 24.1 6.8 5.6 0.6 1.1Total R124,701.2 129,884.1 139,109.7 R133,970.3 137,745.4 146,374.1 154,847.4 145,661.6

Exports to MexicoTruck 39,066.5 35,914.2 44,091.8 55,592.6 60,432.1 66,923.8 82,389.2 74,223.1Rail 4,192.0 4,694.4 5,119.2 5,648.0 6,188.8 5,710.6 10,495.8 10,389.4Pipeline 0.4 1.0 2.3 68.3 73.4 144.2 301.8 296.1

Othera 3,238.9 2,025.8 2,540.1 2,860.5 3,470.0 3,349.6 3,972.0 4,017.7

Mailb 5.5 26.8 – 0.1 0.1 0.7 R– 0.1

Total 46,503.3 42,662.2 51,753.4 64,169.5 70,164.4 76,129.0 97,158.9 88,926.4

Imports from CanadaTruck 79,456.4 88,964.9 98,400.8 99,814.8 108,856.7 118,901.4 127,816.3 117,129.9

Rail 30,322.8 39,996.9 39,811.0 38,293.0 37,374.1 46,255.4 49,699.2 47,197.9Pipeline 9,728.6 10,606.6 12,796.2 13,879.5 11,120.1 12,055.5 23,117.1 25,908.5

Othera 3,991.6 3,888.2 4,968.4 3,572.5 4,575.1 6,386.9 9,571.0 10,523.8

Mail 5.5 5.2 6.9 0.4 1.7 13.1 4.1 7.2

FTZc U 207.6 223.4 122.4 177.9 111.2 62.8 86.1

Total 123,504.9 R143,669.5 R156,206.6 155,682.6 162,105.7 183,723.5 210,270.5 200,853.4

Imports from MexicoTruck 35,013.9 43,014.3 48,350.0 56,716.5 65,883.7 76,448.0 88,668.7 86,377.2Rail 7,769.0 9,137.9 12,297.7 12,646.9 12,029.7 14,693.4 21,056.1 22,056.8Pipeline 187.9 27.4 8.1 3.6 2.4 1.5 11.5 1.6

Othera 643.5 768.9 639.2 668.2 917.8 1,255.8 1,573.9 1,539.7

Mail 1.9 1.3 1.5 0.2 0.2 0.2 0.6 0.1

FTZc U 1,099.2 2,015.6 2,119.6 2,886.7 2,624.4 2,125.7 1,894.9

Total 43,616.2 R54,048.9 R63,312.2 72,155.0 81,720.3 95,023.4 113,436.5 111,870.3

KEY: – = value too small to report; FTZ = foreign trade zone; R = revised; U = data are not available.

a Other includes “flyaway aircraft” or aircraft moving under their own power (i.e., aircraft moving from the manufacturer to a customer and not carrying any freight), powerhouse (electricity), vessels moving under their own power, pedestrians carrying freight, and unknown and miscellaneous.

b Beginning in January 1996, new edit checks were added to the processing of the Transborder Surface Freight Data. Because of these checks, the number of mail export shipments from the United States to Mexico declined sharply between 1995 and 1996. The Census Bureau found that a number of rail shipments were misidentified as mail shipments in 1994 and 1995, although the exact proportion of these is unknown.

c Foreign Trade Zones (FTZs) were added as a mode of transport for land import shipments beginning in April 1995. Although FTZs are being treated as a mode of transportation in the Transborder Surface Freight Data, the actual mode for a specific shipment into or out of an FTZ is unknown because U.S. Customs does not collect this information.

Page 109: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

90 � Chapter 1: The Transportation System

TABLE 1-53: Value of U.S. Land Exports to and Imports from Canada and Mexico by Mode ($ millions) (Continued)

NOTESShipments that neither originate nor terminate in the United States (i.e., in transit, in-bond shipments) are not

included here, although they use the U.S. transportation system. These shipments are usually part of Mex-ico-Canada trade, and simply pass through the United States. Transshipments, however, are included between 1994, 1995, and 1996; these are shipments that entered or exited the United States by way of a Customs port on the northern or southern border, but whose origin or destination was a country other than Canada or Mexico. Starting in 1997, transshipments are excluded. Users should note these differences before comparing figures for 1994-96 with 1997 and subsequent year data. Data exclude export shipments valued at less than $2,500 and import shipments valued at less than $1,250.

Numbers may not add to totals due to rounding.

SOURCEU.S. Department of Transportation, Bureau of Transportation Statistics, Transborder Surface Freight Data,

Internet site www.bts.gov/transborder, 2002.

Page 110: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 91

TABLE 1-54: Crude Oil and Petroleum Products Transported in the United States by Mode

1975 1980 1985 1990 1995 1996 1997 1998 1999 2000Crude oilTon-miles (billions)

Pipelinesa 288.0 362.6 334.4 334.8 335.9 338.3 337.4 334.1 321.1 283.4

Water carriers 40.6 c387.4 449.2 291.2 247.7 202.4 147.3 117.9 100.0 91.0

Motor carriersb 1.4 2.5 1.8 1.5 1.7 1.7 1.7 1.6 1.4 1.2

Railroads 1.5 0.5 0.8 0.7 0.8 0.8 0.5 0.5 0.5 0.4Total 331.5 753.0 786.2 628.2 586.0 543.2 486.9 454.1 423.0 376.0

Percent of total

Pipelinesa 86.9 48.2 42.5 53.3 57.3 62.3 69.3 73.6 75.9 75.4

Water carriers 12.2 51.4 57.2 46.4 42.3 37.3 30.3 26.0 23.6 24.2

Motor carriersb 0.4 0.3 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.3

Railroads 0.5 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1

Refined petroleum productsTon-miles (billions)

Pipelinesa 219.0 225.6 229.9 249.3 265.2 280.9 279.1 285.7 296.6 293.9

Water carriers 257.4 230.4 141.2 157.8 153.2 154.1 148.3 147.1 147.5 153.4

Motor carriersb 26.2 24.3 26.9 28.2 24.6 28.0 26.0 26.7 27.6 30.1

Railroads 12.6 12.0 11.3 13.3 15.9 16.0 16.2 16.2 18.2 19.9Total 515.2 492.3 409.3 448.6 458.9 479.0 469.6 475.7 489.9 497.3

Percent of total

Pipelinesa R42.5 R45.8 R56.2 R55.6 R57.8 R58.6 R59.4 R60.1 60.5 59.1

Water carriers R50.0 R46.8 R34.5 R35.2 R33.4 R32.2 R31.6 R30.9 30.1 30.8

Motor carriersb R5.1 5.0 R6.6 R6.3 5.3 5.9 R5.5 R5.6 5.6 6.1

Railroads R2.4 R2.4 2.7 R2.9 R3.5 R3.3 3.5 3.4 3.7 4.0

Combined crude and petroleum products Ton-miles (billions)

Pipelinesa 507.0 588.2 564.3 584.1 601.1 619.2 616.5 619.8 617.7 577.3

Water carriers 298.0 c617.8 590.4 449.0 400.9 356.5 295.6 265.0 247.5 244.4

Motor carriersb 27.6 26.8 28.7 29.7 26.3 29.7 27.7 28.3 29.0 31.3

Railroads 14.1 12.5 12.1 14.0 16.6 16.8 16.7 16.7 18.7 20.3Total 846.7 1,245.3 1,195.5 1,076.8 1,044.9 1,022.2 956.5 929.8 912.9 873.3

Percent of total

Pipelinesa 59.9 47.2 47.2 54.2 57.5 60.6 64.5 66.7 67.7 66.1

Water carriers 35.2 49.6 49.4 41.7 38.4 34.9 30.9 28.5 27.1 28.0

Motor carriersb 3.3 2.2 2.4 2.8 2.5 2.9 2.9 3.0 3.2 3.6

Railroads 1.7 1.0 1.0 1.3 1.6 1.6 1.8 1.8 2.1 2.3

KEY: R = revised.

a The amount carried by pipeline is based on ton-miles of crude and petroleum products transported through federally regulated pipelines (84%), plus estimated ton-miles of crude and petroleum products transported through nonfederally regulated pipelines (16%).

b The amount carried by motor carriers is estimated.c Reflects the entrance between 1975 and 1980 of the Alaska pipeline, moving crude petroleum for water

transportation to U.S. refineries.

SOURCES1975: Association of Oil Pipe Lines, Shifts in Petroleum Transportation (Washington, DC), table 6.1980-2000: Ibid., (Annual issues), tables 1, 2, and 3.

Page 111: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

92 � Chapter 1: The Transportation System

TABLE 1-55: U.S. Hazardous Materials Shipments by Transportation Mode, 1997

Transportation mode

Value Tons Ton-mile Value

($ million) Percent (thousands) Percent (millions) PercentSingle modes, total 452.7 97.1 1,541.7 98.5 258.9 98.1

Trucka 298.2 63.9 869.8 55.6 74.9 28.4

For-hire 134.3 28.8 336.4 21.5 45.2 17.1

Privateb 160.7 34.5 522.7 33.4 28.8 10.9

Rail 33.3 7.1 96.6 6.2 74.7 28.3Water 27.0 5.8 143.2 9.1 68.2 25.9

Air 8.6 1.8 0.1 — 0.1 —

Pipelinec 85.7 18.4 432.1 27.6 S S

Multiple modes, total 5.7 1.2 6.0 0.4 3.1 1.2Parcel, U.S. Postal Service or Courier 2.9 0.6 0.1 — 0.1 —

Other 2.9 0.6 5.9 0.4 3.0 1.1

Unknown and other modes, total 7.9 1.7 17.5 1.1 1.8 0.7

TOTAL all modes 466.4 100.0 1,565.2 100.0 263.8 100.0

KEY: — = less than 1 unit of measure or equal to zero; S = data are not published because of high sampling variability or other reasons.

a Truck as a single mode includes shipments that went by private truck only, for-hire truck only, or a combina-tion of both.

b Private truck refers to a truck operated by a temporary or permanent employee of an establishment or the buyer/receiver of the shipment.

c Excludes most shipments of crude oil. See previous table for the estimated amount of crude oil and petro-leum products transported in the United States.

NOTENumbers and percents may not add to totals due to rounding.

SOURCEU.S. Department of Transportation, Bureau of Transportation Statistics, U.S. Department of Commerce, Census

Bureau, 1997 Economic Census, Transportation, 1997 Commodity Flow Survey, Hazardous Materials (Washington, DC: December 1999), table 1.

Page 112: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 93

TABL

E 1-

56: U

.S. H

azar

dous

Mat

eria

ls S

hipm

ents

by

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rd C

lass

, 199

7

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rag

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men

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lass

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d d

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on

($ b

illio

n)

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cen

t(t

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nd

s)P

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nt

(mill

ion

s)P

erce

nt

Cla

ss 1

. Exp

losi

ves

4.3

0.9

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0.1

SS

549

Cla

ss 2

. Gas

es40

.98.

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5.0

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66

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ss 3

. Fla

mm

able

liqu

ids

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tal

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3

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Y: R

Z =

less

than

1 u

nit o

f mea

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or

roun

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o; S

= d

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wer

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t pub

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d be

caus

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hig

h sa

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varia

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oth

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and

per

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s m

ay n

ot a

dd t

o to

tals

due

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.

SOU

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eau

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tab

le 2

.

Page 113: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

94 � Chapter 1: The Transportation SystemTA

BLE

1-57

: Wor

ldw

ide

Com

mer

cial

Spa

ce L

aunc

hes

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

TOTA

L 19

90-2

001

TOTA

L s

pac

e la

un

ches

R15

1214

R11

R15

R23

R24

R38

R41

R39

3516

283

Un

ited

Sta

tes

Ath

ena

00

00

01

0R

1R

13

00

6

Atla

s R

12

3R

3R

4R

8R

76

R5

R4

31

47

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esto

ga0

00

00

10

00

00

01

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ta

R5

43

11

1R

37

115

21

44

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asus

00

01

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14

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us0

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00

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01

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n 3

00

00

00

00

00

03

Tota

lR

96

6R

5R

5R

12R

11R

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311

8

Eu

rop

eA

riane

45

66

68

89

119

88

690

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ne 5

00

00

00

00

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42

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l5

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68

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ssia

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mos

00

00

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00

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20

3D

nepr

00

00

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00

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10

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Pro

ton

00

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45

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htil

00

00

00

00

10

00

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oyuz

00

00

00

00

06

30

9

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rt0

00

00

00

10

01

13

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l0

00

00

02

75

1313

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ain

eZ

enit

20

00

00

00

01

00

01

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l0

00

00

00

01

00

01

Page 114: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Travel and Goods Movement � 95

Ch

ina

Long

Mar

ch 2

C0

00

00

00

14

10

06

Long

Mar

ch 2

E0

02

01

30

00

00

06

Long

Mar

ch 3

10

00

10

10

00

00

3Lo

ng M

arch

3B

00

00

00

12

00

00

3To

tal

10

20

23

23

41

00

18

Sea

Lau

ncha

Zen

it 3S

L0

00

00

00

00

R2

32

7

Tota

l0

00

00

00

00

R2

32

7

KE

Y: R

= r

evis

ed.

aSe

a L

aunc

h is

an

inte

rnat

iona

l ven

ture

invo

lvin

g or

gani

zati

ons

in f

our

coun

trie

s an

d us

es it

s ow

n la

unch

fac

ility

out

side

nat

iona

l bor

ders

. The

ir f

irst

com

mer

-ci

al la

unch

, in

1999

, was

lice

nsed

by

the

Fede

ral A

viat

ion

Adm

inis

trat

ion.

NO

TE

SA

com

mer

cial

laun

ch is

a la

unch

tha

t is

inte

rnat

iona

lly c

ompe

ted

(i.e

., av

aila

ble

in p

rinc

iple

to

inte

rnat

iona

l lau

nch

prov

ider

s) o

r w

hose

pri

mar

y pa

yloa

d is

com

-m

erci

al in

nat

ure.

FA

A-l

icen

sed

laun

ches

car

ryin

g ca

ptiv

e go

vern

men

t (N

ASA

and

DO

D)

or in

dust

ry p

aylo

ads

(OR

BC

OM

M, D

elta

3 d

emos

at, Z

enit

3SL

de

mos

at, a

nd o

ther

s) a

re c

ount

ed h

ere.

Dat

a ar

e fo

r or

bita

l lau

nche

s on

ly.

SOU

RC

ES

1990

–99:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion,

Ass

ocia

te A

dmin

istr

ator

for

Com

mer

cial

Spa

ce T

rans

port

atio

n, p

erso

nal c

om-

mun

icat

ion,

Jun

e 4,

200

2.

2000

-200

1: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Avi

atio

n A

dmin

istr

atio

n, C

omm

erci

al S

pace

Tra

nspo

rtat

ion:

200

1 Y

ear

in R

evie

w (

Was

hing

ton,

DC

: Ja

nuar

y 20

02),

Int

erne

t si

te h

ttp:

//ast

.faa

.gov

/laun

ch_i

nfo/

as

of J

une

4, 2

002.

TABL

E 1-

57: W

orld

wid

e Co

mm

erci

al S

pace

Lau

nche

s (C

ontin

ued)

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

TOTA

L 19

90-2

001

Page 115: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 116: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter one

Section EPhysical Performance

Page 117: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 118: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Performance � 99

TABL

E 1-

58: P

asse

nger

s De

nied

Boa

rdin

g by

the

Larg

est U

.S. A

ir Ca

rrie

rsa

(Tho

usan

ds)

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

Boa

rded

420,

696

429,

190

445,

271

449,

184

457,

286

460,

277

480,

555

502,

960

514,

170

523,

081

543,

344

498,

304

Den

ied

bo

ard

ing

b

Vol

unta

ry56

159

971

863

277

179

489

91,

018

R1,

091

1,02

41,

062

899

Invo

lunt

ary

6747

4651

5349

5854

4546

5743

Tota

l62

864

676

468

382

484

395

71,

071

R1,

136

1,07

01,

120

942

Per

cen

t d

enie

d b

oar

din

g0.

150.

150.

170.

150.

180.

180.

200.

210.

220.

200.

210.

19

KE

Y: R

= r

evis

ed.

aD

ata

are

for

nons

top

sche

dule

d se

rvic

e fl

ight

s be

twee

n po

ints

wit

hin

the

Uni

ted

Stat

es (

incl

udin

g te

rrit

orie

s) b

y th

e 10

larg

est

U.S

. air

car

rier

s (i

.e.,

thos

e w

ith

at le

ast

1% o

f to

tal d

omes

tic

sche

dule

d-se

rvic

e pa

ssen

ger

reve

nues

: Ala

ska,

Am

eric

a W

est,

Am

eric

an, C

onti

nent

al, D

elta

, Nor

thw

est,

Sou

thw

est,

TW

A,

Uni

ted,

and

US

Air

way

s). B

efor

e 19

94, c

arri

ers

incl

uded

bot

h m

ajor

s an

d na

tion

al a

irlin

es (

i.e.,

airl

ines

wit

h ov

er $

100

mill

ion

in r

even

ue).

b

Num

ber

of p

asse

nger

s w

ho h

old

conf

irm

ed r

eser

vati

ons

and

are

deni

ed b

oard

ing

(“bu

mpe

d”)

from

a f

light

bec

ause

it is

ove

rsol

d. T

hese

fig

ures

incl

ude

only

pa

ssen

gers

who

se o

vers

old

flig

ht d

epar

ts w

itho

ut t

hem

; the

y do

not

incl

ude

pass

enge

rs a

ffec

ted

by c

ance

led,

del

ayed

, or

dive

rted

flig

hts.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Off

ice

of t

he S

ecre

tary

, Air

Tra

vel C

onsu

mer

Rep

ort

(Was

hing

ton,

DC

: Ann

ual A

pril

issu

es).

Page 119: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

100 � Chapter 1: The Transportation System

TABLE 1-59: Mishandled-Baggage Reports Filed by Passengers with the Largest U.S. Air Carriersa

1990b 1995 1996 1997 1998 1999 2000 2001

Total mishandled-baggage reports(millions)

2.66 2.28 2.46 2.28 2.48 2.54 2.74 2.22

Enplaned passengers (domestic)(millions)

395.70 439.80 464.00 459.83 481.70 499.10 517.40 488.40

Reports per 1,000 passengers 6.73 5.18 5.30 4.96 5.16 5.08 5.29 4.55

a Data include nonstop scheduled service between points within the United States (including territories) by the 10 largest U.S. air carriers (i.e., those with at least 1% of the total domestic scheduled service passenger rev-enues: Alaska, America West, American, Continental, Delta, Northwest, Southwest, TWA, United, and US Airways).

b Includes Pan Am.

NOTESDomestic system only.Based on passenger reports of mishandled baggage, including those that did not subsequently result in claims for

compensation.

SOURCEU.S. Department of Transportation, Office of the Secretary, Air Travel Consumer Report (Washington, DC:

Annual February compilations).

Page 120: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Performance � 101

TABLE 1-60: Flight Operations Arriving On Time by the Largest U.S. Air Carriersa (Percent)

1990b 1995 1996 1997 1998 1999 2000 2001

On-time flight operations 79.4 78.6 74.5 77.7 77.2 76.1 72.6 77.4

a Data include nonstop scheduled service between points within the United States (including territories) by the 10 largest U.S. air carriers (i.e., those with at least 1% of the total domestic scheduled service passenger revenues: Alaska, America West, American, Continental, Delta, Northwest, Southwest, TWA, United, and US Airways).

b Includes Pan Am.

NOTESA flight is considered on time if it arrived less than 15 minutes after the scheduled time shown in the carriers’

Computerized Reservations Systems. Canceled and diverted operations are counted as late.

SOURCEU.S. Department of Transportation, Office of the Secretary, Air Travel Consumer Report (Washington, DC:

Annual February compilations), table 1a, 12-month column.

Page 121: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

102 � Chapter 1: The Transportation SystemTA

BLE

1-61

: FAA

-Cite

d Ca

uses

of D

epar

ture

and

En

Rout

e De

lays

(Afte

r pus

hing

bac

k fro

m th

e ga

te)

1987

1988

1989

1990

1995

1996

1997

1998

1999

b20

00O

pera

tions

del

ayed

(th

ousa

nds)

356

338

394

393

237

272

245

306

374

450

Cau

se (

per

cen

t)W

eath

er67

7057

5672

7468

7469

69A

irpo

rt te

rmin

al v

olum

e11

929

3518

1822

1512

14A

ir R

oute

Tra

ffic

Con

trol

Cen

ter

volu

me

1312

82

aa

aa

aa

Clo

sed

runw

ays

/ tax

iway

s4

53

33

33

35

6

Nat

iona

l Airs

pace

Sys

tem

equ

ipm

ent

43

21

32

32

22

Oth

er1

11

44

24

613

9

KE

Y: A

RT

CC

= A

ir R

oute

Tra

ffic

Con

trol

Cen

ter;

FA

A =

Fed

eral

Avi

atio

n A

dmin

istr

atio

n.

aD

elay

s du

e to

AR

TC

C v

olum

e ar

e in

clud

ed in

del

ays

due

to t

erm

inal

vol

ume

from

199

1.b

Dat

a ar

e pr

elim

inar

y an

d su

bjec

t to

cha

nge.

NO

TE

Perc

enta

ges

may

not

add

to

100

due

to r

ound

ing.

SOU

RC

ES

1987

-97:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion,

Avi

atio

n C

apac

ity

Enh

ance

men

t P

lan

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

1998

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Avi

atio

n A

dmin

istr

atio

n, I

nter

net

site

ww

w.f

aa.g

ov/a

pa/D

elay

s/at

Del

ays.

htm

as

of A

ug. 8

, 200

2.

Page 122: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Performance � 103

TABLE 1-62: Major U.S. Air Carrier Delays, Cancellations, and Diversions

1990 1995 1996 1997 1998 1999 R2000 2001

Total operations 5,270,893 5,327,435 5,351,983 5,411,843 5,384,721 5,527,884 5,683,047 5,967,780Late departures 753,182 919,839 1,102,484 944,633 1,014,904 1,091,584 1,319,153 1,180,673Late arrivals 1,087,774 1,141,647 1,362,702 1,193,678 1,227,741 1,320,591 1,557,784 1,343,608Cancellations 52,458 91,905 128,536 97,763 144,509 154,311 187,490 231,198

Diversions 15,954 10,492 14,121 12,081 13,161 13,555 14,254 12,909

KEY: R = revised.

NOTESLate departures and arrivals are strongly seasonal and are affected by weather and heavy demand in winter

and summer months. The term “late” is defined as 15 minutes after the scheduled departure or arrival time. Major air carriers are the 10 largest U.S. air carriers. A canceled flight is one that was not operated, but was listed in a carrier’s computer reservation system within seven calendar days of the scheduled departure. A diverted flight is one that left from the scheduled departure airport but flew to a destination point other than the scheduled destination point.

SOURCEU.S. Department of Transportation, Bureau of Transportation Statistics, Office of Airline Information, Airline

Service Quality Performance data.

Page 123: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

104 � Chapter 1: The Transportation SystemTA

BLE

1-63

: Ann

ual P

erso

n-Ho

urs

of H

ighw

ay T

raffi

c De

lay

Per P

erso

n

Per

cen

t ch

ang

ea

Sh

ort

-ter

m19

94-2

000

Lo

ng

-ter

m19

82-2

000

Po

pu

lati

on

gro

up

Urb

an a

rea

1982

1985

1990

1995

1996

1997

1998

1999

2000

Per

cen

tR

ank

Per

cen

tR

ank

Med

ium

Alb

any-

Sch

enec

tady

-Tro

y, N

Y1

R1

R4

R4

R4

R4

R5

R6

650

3250

029

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ium

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uque

rque

, NM

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R5

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2140

4295

05

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all

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hora

ge, A

K2

33

22

22

22

069

074

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eA

tlant

a, G

AR

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33

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ium

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tin, T

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timor

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umon

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ium

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ery

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osto

n, M

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mal

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ston

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56

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ium

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rlotte

, NC

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y la

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cago

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thw

este

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bus,

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all

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pus

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isti,

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ery

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eD

alla

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orth

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r, C

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ery

larg

eD

etro

it, M

IR

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7R

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754

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ium

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aso,

TX

-NM

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all

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ene-

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ield

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mal

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rt M

yers

- C

ape

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al, F

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77

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ediu

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esno

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rge

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Lau

derd

ale-

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lyw

ood-

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pano

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ch, F

LR

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ium

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tford

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olul

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7512

070

Page 124: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Performance � 105

Ver

y la

rge

Hou

ston

, TX

R19

R33

R24

R27

R30

R36

R34

R40

3633

5189

71La

rge

Indi

anap

olis

, IN

R2

R2

R4

R19

R22

R24

R19

R19

2018

6490

06

Med

ium

Jack

sonv

ille,

FL

R3

R4

R9

R18

R17

R18

R15

R15

157

6840

038

Larg

eK

ansa

s C

ity, M

O-K

SR

1R

2R

3R

6R

8R

8R

9R

119

2956

800

13S

mal

lLa

redo

, TX

11

1R

2R

2R

3R

3R

33

200

420

060

Larg

eLa

s V

egas

, NV

R3

R5

R12

R13

R14

R16

R16

R17

1838

4550

029

Ver

y la

rge

Los

Ang

eles

, CA

R22

R27

R63

R55

R61

R59

R63

R62

6219

6218

264

Med

ium

Loui

svill

e, K

Y-IN

R4

R5

R5

R13

R17

R19

R20

R21

2150

3242

537

Med

ium

Mem

phis

, TN

-AR

-MS

R1

R2

R5

R11

R11

R13

R14

R14

1678

181,

500

2

Larg

eM

iam

i-Hia

leah

, FL

R9

R11

R21

R27

R27

R30

R28

R29

3314

6726

751

Larg

eM

ilwau

kee,

WI

R2

R3

R5

R11

R12

R12

R13

R14

1567

2365

019

Larg

eM

inne

apol

is-S

t. P

aul,

MN

R1

R4

R8

R16

R17

R23

R23

R27

2673

202,

500

1

Med

ium

Nas

hvill

e, T

NR

6R

7R

9R

14R

15R

18R

16R

1920

6723

233

57La

rge

New

Orle

ans,

LA

R4

R5

R6

R11

R11

R11

R11

R11

10-1

774

150

66V

ery

larg

eN

ew Y

ork,

NY-

Nor

thea

ster

n,

NJ

R6

R7

R18

R18

R19

R21

R22

R23

2344

3828

349

Larg

eN

orfo

lk -

New

port

New

s-V

irgin

ia B

each

, VA

R5

R7

R9

R11

R12

R12

R14

R15

1220

6140

68

Larg

eO

klah

oma

City

, OK

R1

R2

R2

R4

R5

R6

R6

R7

610

010

500

29M

ediu

mO

mah

a, N

E-I

AR

2R

3R

5R

8R

9R

10R

10R

1111

3846

450

33

Larg

eO

rland

o, F

LR

5R

9R

11R

19R

21R

24R

27R

2631

6328

520

27S

mal

lP

ensa

cola

, FL

12

68

89

910

1138

461,

000

4V

ery

larg

eP

hila

delp

hia,

PA

-NJ

R5

R6

R9

R12

R13

R13

R15

R16

1536

5020

060

Larg

eP

hoen

ix, A

ZR

7R

8R

14R

16R

20R

23R

20R

2628

5631

300

45La

rge

Pitt

sbur

gh, P

AR

4R

5R

7R

8R

7R

8R

8R

97

1766

7572

Larg

eP

ortla

nd-V

anco

uver

, OR

-WA

R3

R3

R8

R18

R19

R19

R20

R21

2364

2766

718

Med

ium

Pro

vide

nce-

Paw

tuck

et, R

I-M

AR

2R

4R

8R

11R

14R

11R

14R

1719

9015

850

11M

ediu

mR

ichm

ond,

VA

12

410

1010

1212

1043

4090

06

Med

ium

Roc

hest

er, N

YR

0R

1R

2R

3R

3R

3R

3R

43

5032

NM

75

Larg

eS

acra

men

to, C

AR

5R

7R

14R

14R

17R

15R

15R

1619

1963

280

50S

mal

lS

alem

, OR

11

R3

R4

R6

R6

R7

R6

740

4260

021

Med

ium

Sal

t Lak

e C

ity, U

TR

1R

2R

4R

10R

8R

7R

8R

89

069

800

13

Con

tinue

d ne

xt p

age

TABL

E 1-

63: A

nnua

l Per

son-

Hour

s of

Hig

hway

Tra

ffic

Dela

y Pe

r Per

son

(Con

tinue

d)

Per

cen

t ch

ang

ea

Sh

ort

-ter

m19

94-2

000

Lo

ng

-ter

m19

82-2

000

Po

pu

lati

on

gro

up

Urb

an a

rea

1982

1985

1990

1995

1996

1997

1998

1999

2000

Per

cen

tR

ank

Per

cen

tR

ank

Page 125: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

106 � Chapter 1: The Transportation System

Larg

eS

an A

nton

io, T

XR

3R

7R

6R

10R

10R

10R

13R

1820

300

156

726

Larg

eS

an B

erna

rdin

o-R

iver

side

, CA

R4

R7

R19

R20

R22

R23

R27

R26

3058

3065

019

Larg

eS

an D

iego

, CA

R4

R7

R17

R14

R15

R18

R17

R21

2471

2150

029

Ver

y la

rge

San

Fra

ncis

co-O

akla

nd, C

AR

12R

24R

37R

30R

31R

28R

32R

3441

7122

242

56La

rge

San

Jos

e, C

AR

10R

21R

43R

26R

25R

23R

26R

3133

3846

230

58La

rge

Sea

ttle-

Eve

rett,

WA

R8

R14

R24

R30

R34

R36

R35

R37

3417

6532

544

Sm

all

Spo

kane

, WA

23

R3

R4

R4

R5

R5

R5

50

6915

066

Larg

eS

t. Lo

uis,

MO

-IL

R5

R7

R9

R16

R16

R18

R18

R19

2033

5130

045

Med

ium

Taco

ma,

WA

R2

R3

R9

R11

R11

R12

R12

R15

1427

5760

021

Larg

eTa

mpa

-St.

Pet

ersb

urg-

Cle

arw

ater

, FL

R8

R9

R14

R23

R22

R21

R21

R22

21-9

7216

365

Med

ium

Tucs

on, A

ZR

2R

2R

5R

8R

8R

11R

12R

1211

3846

450

33M

ediu

mTu

lsa,

OK

12

33

45

66

920

04

800

13La

rge

Wes

t Pal

m B

each

- B

oca

Rat

on-

Del

ray

Bea

ch, F

L2

27

1416

1518

2020

4340

900

6

Ver

y la

rge

Was

hing

ton,

DC

-MD

-VA

R10

R14

R22

R29

R32

R31

R36

R37

3530

5525

055

75 A

rea

Ave

rage

R7

R10

R19

R21

R23

R24

R25

R26

2736

278

Ver

y La

rge

Are

a A

vera

ge

R10

R14

R28

R28

R31

R31

R33

R35

3532

237

Larg

e A

rea

Ave

rage

R

4R

6R

12R

16R

18R

19R

20R

2122

4442

3

Med

ium

Are

a A

vera

ge

R2

R4

R6

R11

R11

R12

R12

R14

1455

469

Sm

all A

rea

Ave

rage

2

24

R4

R5

R5

R6

R6

762

289

KE

Y: N

M =

not

mea

ning

ful;

R =

rev

ised

. Ver

y la

rge

urba

n ar

eas

– ov

er 3

mill

ion

popu

latio

n. L

arge

urb

an a

reas

– o

ver

1 m

illio

n an

d le

ss th

an 3

mill

ion

popu

latio

n.

Med

ium

urb

an a

reas

– o

ver

500,

000

and

less

than

1 m

illio

n po

pula

tion.

Sm

all u

rban

are

as –

less

than

500

,000

pop

ulat

ion.

aPe

rcen

t ch

ange

was

cal

cula

ted

usin

g th

e nu

mbe

rs in

thi

s ta

ble

and

wer

e no

t ob

tain

ed f

rom

the

sou

rce

men

tion

ed b

elow

. Ran

k is

bas

ed o

n th

e ca

lcul

ated

per

-ce

nt c

hang

e w

ith

the

high

est

num

ber

corr

espo

ndin

g to

a r

ank

of 1

.

NO

TE

The

cit

ies

show

n re

pres

ent

the

50 la

rges

t m

etro

polit

an a

reas

, as

wel

l as

othe

rs c

hose

n by

the

sta

tes

spon

sori

ng t

he T

exas

Tra

nspo

rtat

ion

Inst

itut

e st

udy

on

mob

ility

.

SOU

RC

E19

82 -

200

0: T

exas

Tra

nspo

rtat

ion

Inst

itut

e, T

he 2

002

Ann

ual U

rban

Mob

ility

Rep

ort

(Col

lege

Sta

tion

, TX

: 200

2) f

rom

Int

erne

t si

te h

ttp:

//mob

ility

.tam

u.ed

u as

of

Aug

. 1, 2

002.

TABL

E 1-

63: A

nnua

l Per

son-

Hour

s of

Hig

hway

Tra

ffic

Dela

y Pe

r Per

son

(Con

tinue

d)

Per

cen

t ch

ang

ea

Sh

ort

-ter

m19

94-2

000

Lo

ng

-ter

m19

82-2

000

Po

pu

lati

on

gro

up

Urb

an a

rea

1982

1985

1990

1995

1996

1997

1998

1999

2000

Per

cen

tR

ank

Per

cen

tR

ank

Page 126: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Performance � 107

TABL

E 1-

64: R

oadw

ay C

onge

stio

n In

dex

Per

cen

t ch

ang

ea

Sh

ort

-ter

m 1

994-

2000

Lo

ng

-ter

m19

82-2

000

Po

pu

lati

on

g

rou

pU

rban

are

a19

8219

8519

9019

9519

9619

9719

9819

9920

00P

erce

nt

Ran

kP

erce

nt

Ran

k

Med

ium

Alb

any-

Sch

enec

tady

-Tro

y, N

Y0.

460.

510.

680.

720.

740.

750.

750.

770.

787

2432

42M

ediu

mA

lbuq

uerq

ue, N

M0.

620.

690.

85R

1.00

R1.

05R

1.06

R1.

08R

1.08

1.09

1244

4766

Sm

all

Anc

hora

ge, A

K0.

580.

630.

620.

600.

590.

590.

620.

610.

621

64

2La

rge

Atla

nta,

GA

0.77

0.93

0.98

1.13

1.17

1.24

1.28

1.27

1.32

1967

5573

Med

ium

Aus

tin, T

X0.

730.

810.

900.

940.

97R

1.01

R1.

03R

1.07

1.11

2171

3856

Sm

all

Bak

ersf

ield

, CA

0.54

0.56

0.64

0.72

0.74

0.75

0.76

R0.

780.

765

1322

18La

rge

Bal

timor

e, M

D0.

750.

800.

951.

031.

031.

051.

061.

071.

1010

3535

47S

mal

lB

eaum

ont,

TX

R0.

650.

720.

740.

800.

840.

850.

850.

860.

846

1719

17M

ediu

mB

irmin

gham

, AL

0.69

0.70

0.78

0.87

0.90

0.93

0.96

0.98

0.99

1451

3035

Ver

y la

rge

Bos

ton,

MA

0.88

0.98

1.09

1.21

1.22

1.25

1.27

1.28

1.30

1141

4262

Sm

all

Bou

lder

, CO

0.55

0.59

0.65

0.74

0.76

0.81

0.83

0.83

0.81

931

2623

Sm

all

Bro

wns

ville

, TX

0.54

0.54

0.62

0.70

0.71

0.73

0.76

0.75

0.78

931

2421

Larg

eB

uffa

lo-N

iaga

ra F

alls

, NY

0.53

0.55

0.60

0.67

0.66

0.68

0.70

0.72

0.76

826

2320

Sm

all

Cha

rlest

on, S

C0.

850.

880.

960.

930.

920.

930.

970.

980.

983

913

8M

ediu

mC

harlo

tte, N

C0.

861.

021.

050.

951.

011.

071.

091.

141.

1521

7129

30V

ery

larg

eC

hica

go, I

L-N

orth

wes

tern

, IN

0.95

1.02

1.18

1.22

1.27

1.27

1.31

1.31

1.31

1451

3648

Larg

eC

inci

nnat

i, O

H-K

Y0.

700.

780.

921.

001.

041.

091.

111.

121.

1313

4843

63La

rge

Cle

vela

nd, O

H0.

680.

650.

830.

920.

940.

960.

98R

0.98

0.97

617

2930

Sm

all

Col

orad

o S

prin

gs, C

O0.

500.

600.

620.

730.

760.

810.

830.

850.

8618

6536

48La

rge

Col

umbu

s, O

H0.

630.

68R

0.85

R0.

971.

00R

1.02

R1.

04R

1.04

1.02

826

3957

Sm

all

Cor

pus

Chr

isti,

TX

0.57

0.65

0.67

0.64

0.66

0.70

0.70

0.71

0.70

617

138

Ver

y la

rge

Dal

las

-For

t Wor

th, T

XR

0.73

R0.

86R

0.96

R0.

96R

0.98

R1.

01R

1.07

R1.

071.

1014

5137

54

Larg

eD

enve

r, C

O0.

820.

860.

921.

071.

121.

141.

181.

201.

2321

7141

60V

ery

larg

eD

etro

it, M

I0.

890.

911.

081.

161.

181.

181.

181.

201.

227

2433

45M

ediu

mE

l Pas

o, T

X-N

M0.

620.

700.

730.

850.

840.

860.

910.

940.

9813

4836

48S

mal

lE

ugen

e-S

prin

gfie

ld, O

R0.

530.

580.

680.

780.

820.

840.

870.

910.

9419

6741

60La

rge

Fort

Lau

derd

ale-

Hol

lyw

ood-

Pom

pano

Bea

ch, F

L0.

690.

750.

901.

051.

071.

121.

121.

171.

2320

7054

71

Sm

all

Fort

Mye

rs -

Cap

e C

oral

, FL

0.83

0.87

0.95

0.90

0.92

0.94

0.94

0.95

0.96

617

138

Med

ium

Fres

no, C

A0.

670.

65R

0.86

0.87

0.89

0.92

0.96

R0.

980.

9914

5132

42M

ediu

mH

artfo

rd-M

iddl

etow

n, C

T0.

610.

74R

0.82

0.86

0.87

0.90

0.91

0.94

0.97

1244

3648

Med

ium

Hon

olul

u, H

I0.

790.

841.

03R

1.08

1.07

1.06

1.06

1.06

1.04

-31

2522

Ver

y la

rge

Hou

ston

, TX

1.03

1.11

R1.

041.

00R

1.02

R1.

05R

1.08

R1.

081.

099

316

4La

rge

Indi

anap

olis

, IN

0.64

0.69

0.83

R1.

12R

1.13

R1.

16R

1.14

R1.

131.

138

2649

68

Page 127: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

108 � Chapter 1: The Transportation System

Med

ium

Jack

sonv

ille,

FL

0.75

0.81

0.94

1.04

1.02

1.01

1.01

1.00

1.02

05

2724

Larg

eK

ansa

s C

ity, M

O-K

S0.

500.

580.

630.

720.

750.

760.

770.

790.

8111

4131

37S

mal

lLa

redo

, TX

0.55

0.56

0.56

0.53

0.56

0.60

0.63

0.61

0.56

28

11

Larg

eLa

s V

egas

, NV

0.69

0.78

R1.

061.

121.

121.

111.

131.

181.

2310

3554

71

Ver

y la

rge

Los

Ang

eles

, CA

1.29

1.31

1.59

1.52

1.56

1.54

1.58

1.58

1.59

931

3035

Med

ium

Loui

svill

e, K

Y-IN

0.78

0.78

0.80

R0.

99R

1.01

1.05

1.08

1.09

1.09

1244

3137

Med

ium

Mem

phis

, TN

-AR

-MS

0.71

0.70

0.88

0.96

0.98

0.98

0.99

0.98

1.00

617

2930

Larg

eM

iam

i-Hia

leah

, FL

0.95

0.99

1.20

1.25

1.23

1.23

1.22

1.23

1.28

617

3345

Larg

eM

ilwau

kee,

WI

0.71

0.80

R0.

930.

940.

991.

011.

021.

051.

0817

6337

54

Larg

eM

inne

apol

is-S

t. P

aul,

MN

0.66

0.76

0.89

1.06

1.08

1.13

1.18

1.20

1.22

1865

5674

Med

ium

Nas

hvill

e, T

N0.

83R

0.82

0.85

0.93

0.93

R0.

960.

97R

0.98

0.98

826

1512

Larg

eN

ew O

rlean

s, L

A0.

920.

970.

940.

990.

960.

971.

000.

990.

97-2

45

3V

ery

larg

eN

ew Y

ork,

NY-

Nor

thea

ster

n,

NJ

0.77

R0.

860.

991.

041.

081.

131.

141.

151.

1614

5139

57

Larg

eN

orfo

lk -

New

port

New

s-V

irgin

ia B

each

, VA

R0.

84R

0.89

R0.

91R

0.91

R0.

94R

0.95

0.96

0.97

0.96

513

127

Larg

eO

klah

oma

City

, OK

0.65

0.71

0.73

0.82

0.84

0.85

0.86

0.88

0.87

1035

2218

Med

ium

Om

aha,

NE

-IA

0.62

0.70

0.75

0.81

0.84

0.85

0.87

0.90

0.90

1035

2827

Larg

eO

rland

o, F

L0.

820.

930.

950.

971.

00R

1.03

1.05

R1.

071.

1115

5929

30S

mal

lP

ensa

cola

, FL

0.61

0.69

0.84

0.88

0.86

0.88

0.87

0.88

0.92

513

3137

Ver

y la

rge

Phi

lade

lphi

a, P

A-N

J0.

820.

870.

94R

1.00

R1.

01R

1.05

R1.

08R

1.10

1.10

1035

2827

Larg

eP

hoen

ix, A

Z0.

950.

981.

011.

081.

141.

121.

161.

211.

2723

7432

42La

rge

Pitt

sbur

gh, P

A0.

700.

730.

750.

760.

760.

760.

780.

780.

773

97

6La

rge

Por

tland

-Van

couv

er, O

R-W

A0.

810.

90R

1.02

1.15

1.20

1.22

1.22

1.24

1.27

1559

4665

Med

ium

Pro

vide

nce-

Paw

tuck

et, R

I-M

AR

0.71

0.83

0.89

0.84

R0.

860.

890.

930.

950.

9816

6127

24

Med

ium

Ric

hmon

d, V

A0.

670.

730.

750.

780.

800.

810.

830.

830.

834

1116

13M

ediu

mR

oche

ster

, NY

0.51

0.57

0.69

0.77

0.77

0.76

0.77

0.78

0.80

617

2930

Larg

eS

acra

men

to, C

A0.

760.

881.

051.

121.

171.

141.

181.

201.

2513

4849

68S

mal

lS

alem

, OR

0.56

0.64

0.79

0.77

0.79

0.82

0.86

0.85

0.87

826

3137

Med

ium

Sal

t Lak

e C

ity, U

T0.

660.

710.

841.

04R

1.04

1.01

1.01

1.00

0.97

-31

3137

Larg

eS

an A

nton

io, T

X0.

69R

0.78

0.74

0.87

0.89

0.92

R0.

97R

1.03

1.05

2475

3648

Larg

eS

an B

erna

rdin

o-R

iver

side

, CA

0.78

0.90

R1.

141.

161.

181.

161.

201.

241.

2614

5148

67La

rge

San

Die

go, C

A0.

790.

901.

19R

1.17

R1.

17R

1.18

R1.

201.

251.

3216

6153

70V

ery

larg

eS

an F

ranc

isco

-Oak

land

, CA

1.06

1.17

1.35

1.34

1.35

1.36

1.37

1.39

1.45

1451

3957

TABL

E 1-

64: R

oadw

ay C

onge

stio

n In

dex

(Con

tinue

d)

Per

cen

t ch

ang

ea

Sh

ort

-ter

m 1

994-

2000

Lo

ng

-ter

m19

82-2

000

Po

pu

lati

on

g

rou

pU

rban

are

a19

8219

8519

9019

9519

9619

9719

9819

9920

00P

erce

nt

Ran

kP

erce

nt

Ran

k

Page 128: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Performance � 109

Larg

eS

an J

ose,

CA

1.07

1.13

1.24

1.13

1.11

1.11

1.13

1.19

1.34

1967

2724

Larg

eS

eattl

e-E

vere

tt, W

A1.

071.

171.

21R

1.10

R1.

12R

1.16

R1.

19R

1.22

1.23

1451

1613

Sm

all

Spo

kane

, WA

0.66

0.71

0.74

0.76

0.78

0.80

0.81

0.83

0.82

513

1613

Larg

eS

t. Lo

uis,

MO

-IL

0.87

0.94

0.91

1.00

1.01

1.02

R1.

021.

031.

034

1116

13M

ediu

mTa

com

a, W

A0.

750.

780.

91R

1.12

R1.

131.

151.

181.

191.

2010

3545

64La

rge

Tam

pa-S

t. P

eter

sbur

g-C

lear

wat

er, F

LR

1.07

R1.

12R

1.10

R1.

16R

1.14

R1.

11R

1.11

R1.

121.

13-3

16

4

Med

ium

Tucs

on, A

ZR

0.78

0.76

0.89

R0.

950.

971.

001.

041.

051.

0611

4128

27M

ediu

mTu

lsa,

OK

0.73

0.75

0.76

0.77

0.79

0.80

0.82

0.83

0.87

1244

1411

Larg

eW

est P

alm

Bea

ch -

Boc

a R

aton

-Del

ray

Bea

ch, F

L0.

570.

650.

840.

991.

001.

021.

061.

111.

1517

6358

75

Ver

y la

rge

Was

hing

ton,

DC

-MD

-VA

0.99

1.13

1.24

1.32

1.32

1.33

1.35

1.34

1.35

16

3648

75-A

rea

Ave

rage

R0.

82R

0.89

R1.

01R

1.06

R1.

08R

1.10

R1.

12R

1.14

1.15

1133

Ver

y La

rge

Are

a A

vera

ge

R0.

95R

1.03

R1.

17R

1.19

R1.

21R

1.23

R1.

25R

1.26

1.28

1133

Larg

e A

rea

Ave

rage

R

0.76

0.83

R0.

93R

1.01

R1.

031.

05R

1.07

1.09

1.12

1336

Med

ium

Are

a A

vera

ge

0.68

R0.

73R

0.83

R0.

90R

0.92

R0.

94R

0.95

R0.

970.

9810

30S

mal

l Are

a A

vera

ge

R0.

61R

0.66

R0.

72R

0.75

R0.

76R

0.78

R0.

80R

0.81

R0.

817

20

KE

Y: R

= re

vise

d. V

ery

larg

e ur

ban

area

s –

over

3 m

illio

n po

pula

tion.

Lar

ge u

rban

are

as –

ove

r 1 m

illio

n an

d le

ss th

an 3

mill

ion

popu

latio

n. M

ediu

m u

rban

are

as –

ove

r 50

0,00

0 an

d le

ss th

an 1

mill

ion

popu

latio

n. S

mal

l urb

an a

reas

– le

ss th

an 5

00,0

00 p

opul

atio

n.

aR

ank

is b

ased

on

the

calc

ulat

ed p

oint

cha

nge

wit

h th

e lo

wes

t nu

mbe

r co

rres

pond

ing

to a

ran

k of

1.

NO

TE

ST

he R

oadw

ay C

onge

stio

n In

dex

(RC

I) is

a m

easu

re o

f ve

hicl

e tr

avel

den

sity

on

maj

or r

oadw

ays

in a

n ur

ban

area

. An

RC

I ex

ceed

ing

1.0

indi

cate

s an

und

esir

able

co

nges

tion

leve

l, on

an

aver

age,

on

the

free

way

s an

d pr

inci

pal a

rter

ial s

tree

t sy

stem

s du

ring

the

pea

k pe

riod

. The

cit

ies

show

n re

pres

ent

the

50 la

rges

t m

etro

-po

litan

are

as, a

s w

ell a

s ot

hers

cho

sen

by t

he s

tate

s sp

onso

ring

the

Tex

as T

rans

port

atio

n In

stit

ute’

s st

udy

on m

obili

ty.

SOU

RC

E19

82 -

200

0: T

exas

Tra

nspo

rtat

ion

Inst

itut

e, T

he 2

002

Ann

ual U

rban

Mob

ility

Rep

ort

(Col

lege

Sta

tion

, TX

: 200

2) f

rom

Int

erne

t si

te h

ttp:

//mob

ility

.tam

u.ed

u as

of

Aug

. 1, 2

002.

TABL

E 1-

64: R

oadw

ay C

onge

stio

n In

dex

(Con

tinue

d)

Per

cen

t ch

ang

ea

Sh

ort

-ter

m 1

994-

2000

Lo

ng

-ter

m19

82-2

000

Po

pu

lati

on

g

rou

pU

rban

are

a19

8219

8519

9019

9519

9619

9719

9819

9920

00P

erce

nt

Ran

kP

erce

nt

Ran

k

Page 129: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

110 � Chapter 1: The Transportation SystemTA

BLE

1-65

: Ann

ual H

ighw

ay C

onge

stio

n Co

st

An

nu

al c

on

ges

tio

n c

ost

per

cap

ita

($)

An

nu

al c

on

ges

tio

n c

ost

($

mill

ion

s)

Po

pu

lati

on

g

rou

pU

rban

are

a19

98

Val

ue

1999

V

alu

e20

00

Val

ue

1998

R

ank

1999

R

ank

2000

R

ank

1998

V

alu

e19

99

Val

ue

2000

V

alu

e19

98

Ran

k19

99

Ran

k20

00

Ran

k

Med

ium

Alb

any-

Sch

enec

tady

-Tro

y, N

YR

70R

9011

565

6462

3545

6063

6362

Med

ium

Alb

uque

rque

, NM

R41

543

538

017

1932

240

260

225

3941

45

Sm

all

Anc

hora

ge, A

KR

2020

2073

7374

55

573

7372

Larg

eA

tlant

a, G

AR

575

530

635

59

81,

615

1,51

51,

885

99

9

Med

ium

Aus

tin, T

XR

385

470

550

1814

1326

533

040

037

3530

Sm

all

Bak

ersf

ield

, CA

R50

5060

6871

7020

2025

6767

67

Larg

eB

altim

ore,

MD

R31

533

539

527

3125

675

720

860

1919

19

Sm

all

Bea

umon

t, T

XR

7070

105

6568

6510

1015

6971

70

Med

ium

Birm

ingh

am, A

LR23

524

028

542

4540

155

160

190

4849

47

Ver

y la

rge

Bos

ton,

MA

R43

547

052

515

1414

1,31

01,

425

1,59

510

1010

Sm

all

Bou

lder

, CO

R0

045

7474

720

05

7474

72

Sm

all

Bro

wns

ville

, TX

R0

00

7474

750

00

7474

75

Larg

eB

uffa

lo-N

iaga

ra F

alls

, NY

R50

7595

6867

6755

8010

560

6060

Sm

all

Cha

rlest

on, S

CR

170

195

220

5150

4775

8510

057

5861

Med

ium

Cha

rlotte

, NC

R31

5R

345

410

2727

23R

195

R21

526

545

4641

Ver

y la

rge

Chi

cago

, IL-

Nor

thw

este

rn, I

NR

480

R48

050

59

1317

R3,

855

R3,

880

4,09

53

33

Larg

eC

inci

nnat

i, O

H-K

YR

315

R33

539

527

3125

R40

0R

430

505

2626

27

Sm

all

Cle

vela

nd, O

HR

170

175

165

5155

5831

533

031

531

3538

Sm

all

Col

orad

o S

prin

gs, C

OR

175

195

235

5050

4475

8511

057

5859

Larg

eC

olum

bus,

OH

R33

536

533

024

2637

345

380

345

2930

34

Sm

all

Cor

pus

Chr

isti,

TX

R30

5050

7271

7110

1515

6970

70

Larg

eD

alla

s-Fo

rt W

orth

, TX

R50

570

569

58

23

1,83

02,

650

2,64

08

45

Larg

eD

enve

r, C

OR

540

R56

064

07

87

R98

5R

1,04

51,

225

1417

16

Ver

y la

rge

Det

roit,

MI

R47

0R

465

475

1316

20R

1,88

0R

1,86

51,

905

78

8

Med

ium

El P

aso,

TX

-NM

R85

140

185

6359

5555

9012

060

5757

Sm

all

Eug

ene-

Spr

ingf

ield

, OR

R45

9011

570

6462

1020

2569

6767

Sm

all

Fort

Mye

rs-C

ape

Cor

al, F

LR11

011

010

559

6165

3030

3064

6565

Larg

eFo

rt L

aude

rdal

e-H

olly

woo

d-P

ompa

no

Bea

ch, F

LR30

539

552

032

2216

455

590

810

2523

20

Med

ium

Fres

no, C

AR

145

180

215

5454

4980

100

120

5656

57

Med

ium

Har

tford

-Mid

dlet

own,

CT

R14

019

021

555

5249

9012

014

055

5452

Med

ium

Hon

olul

u, H

IR26

527

522

536

4046

185

190

155

4747

50

Page 130: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Performance � 111

Ver

y la

rge

Hou

ston

, TX

R59

5R

705

675

42

4R

1,90

5R

2,32

02,

285

66

7

Larg

eIn

dian

apol

is, I

NR

335

335

385

2431

2934

034

039

530

3331

Med

ium

Jack

sonv

ille,

FLR

260

265

285

3742

4022

022

524

542

4442

Larg

eK

ansa

s C

ity, M

O-K

SR

160

200

175

5348

5622

027

524

542

4042

Sm

all

Lare

do, T

X55

R55

2567

7073

10R

105

6971

72

Larg

eLa

s V

egas

, NV

R27

531

034

535

3636

305

355

415

3231

29

Ver

y la

rge

Los

Ang

eles

, CA

R1,

070

R1,

095

1,15

51

11

R13

,345

R13

,770

14,6

351

11

Med

ium

Loui

svill

e, K

Y-IN

R35

039

540

021

2224

290

330

335

3635

36

Med

ium

Mem

phis

, TN

-AR

-MS

R23

5R

245

290

4244

38R

230

R24

028

540

4239

Larg

eM

iam

i-Hia

leah

, FL

R47

5R

505

600

1110

10R

990

R1,

060

1,36

513

1611

Larg

eM

ilwau

kee,

WIR

230

265

285

4442

4030

035

039

033

3233

Larg

eM

inne

apol

is -

St.

Pau

l, M

NR

420

R48

549

516

1218

R98

0R

1,13

01,

220

1514

17

Med

ium

Nas

hvill

e, T

NR

285

345

395

3327

2519

023

527

546

4340

Larg

eN

ew O

rlean

s, L

AR

185

R20

019

548

4852

R20

5R

220

215

4445

46

Ver

y la

rge

New

Yor

k, N

Y-N

orth

east

ern,

NJ

R38

0R

420

450

1920

21R

6,21

5R

6,90

07,

660

22

2

Larg

eN

orfo

lk-N

ewpo

rt N

ews-

Virg

inia

B

each

, VA

R25

027

023

039

4145

360

400

345

2829

34

Larg

eO

klah

oma

City

, OK

R11

014

011

559

5962

115

145

125

5350

54

Med

ium

Om

aha,

NE

-IA

R18

019

020

049

5251

105

115

125

5455

54

Larg

eO

rland

o, F

LR46

545

557

514

1811

520

520

690

2425

24

Sm

all

Pen

saco

la, F

LR13

516

516

556

5658

4050

5062

6263

Ver

y la

rge

Phi

lade

lphi

a, P

A-N

JR

260

R28

029

037

3938

R1,

180

R1,

280

1,32

512

1213

Larg

eP

hoen

ix, A

ZR

350

460

525

2117

1486

51,

185

1,36

016

1312

Larg

eP

ittsb

urgh

, PA

R13

5R

155

130

5658

60R

245

R28

023

538

3844

Larg

eP

ortla

nd-V

anco

uver

, OR

-WA

R35

539

044

520

2422

525

580

670

2324

25

Med

ium

Pro

vide

nce-

Paw

tuck

et, R

I-M

AR

250

R31

036

539

3635

R22

5R

280

335

4138

36

Med

ium

Ric

hmon

d, V

AR

200

205

195

4647

5212

513

012

551

5354

Med

ium

Roc

hest

er, N

YR

4570

7570

6869

3045

5064

6363

Larg

eS

acra

men

to, C

AR

280

315

385

3435

2937

543

054

027

2626

Sm

all

Sal

em, O

RR

105

105

130

6162

6020

2025

6767

67

Med

ium

Sal

t Lak

e C

ity, U

TR

135

160

190

5657

5412

014

517

052

5048

Larg

eS

an A

nton

io, T

XR

245

335

380

4131

3230

041

547

533

2828

Con

tinue

d ne

xt p

age

TABL

E 1-

65: A

nnua

l Hig

hway

Con

gest

ion

Cost

(Con

tinue

d)

An

nu

al c

on

ges

tio

n c

ost

per

cap

ita

($)

An

nu

al c

on

ges

tio

n c

ost

($

mill

ion

s)

Po

pu

lati

on

g

rou

pU

rban

are

a19

98

Val

ue

1999

V

alu

e20

00

Val

ue

1998

R

ank

1999

R

ank

2000

R

ank

1998

V

alu

e19

99

Val

ue

2000

V

alu

e19

98

Ran

k19

99

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k20

00

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k

Page 131: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

112 � Chapter 1: The Transportation System

Larg

eS

an B

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ery

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area

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he 2

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ual U

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t of

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on is

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vel t

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lon

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el. F

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ear

2001

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ided

to

only

pub

lish

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esti

on c

ost

per

capi

ta, c

ontr

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to p

revi

ous

year

s w

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the

sour

ce w

ould

pub

lish

data

for

elig

ible

dr

iver

s, a

s w

ell a

s pe

r ca

pita

. To

acco

unt

for

this

cha

nge,

the

ent

ire

tabl

e ha

s be

en u

pdat

ed t

o re

flec

t th

e da

ta b

ased

on

cong

esti

on c

ost

per

capi

ta.

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RC

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as T

rans

port

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n In

stit

ute,

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200

1 A

nnua

l Urb

an M

obili

ty R

epor

t (C

olle

ge S

tati

on, T

X: 2

001)

obt

aine

d fr

om I

nter

net

site

ht

tp://

mob

ility

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u.ed

u as

of

Aug

. 6, 2

002.

TABL

E 1-

65: A

nnua

l Hig

hway

Con

gest

ion

Cost

(Con

tinue

d)

An

nu

al c

on

ges

tio

n c

ost

per

cap

ita

($)

An

nu

al c

on

ges

tio

n c

ost

($

mill

ion

s)

Po

pu

lati

on

g

rou

pU

rban

are

a19

98

Val

ue

1999

V

alu

e20

00

Val

ue

1998

R

ank

1999

R

ank

2000

R

ank

1998

V

alu

e19

99

Val

ue

2000

V

alu

e19

98

Ran

k19

99

Ran

k20

00

Ran

k

Page 132: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Physical Performance � 113

TABLE 1-66: Amtrak On-Time Performance Trends and Hours of Delay by Cause

1980 1985 1990 1995 1996 1997 1998 1999 2000

On-time performance, total % (weighted)

69 81 76 76 71 74 79 79 78

Short distance (<400 miles) 71 82 82 81 76 79 81 80 81Long distance (>=400 miles) 64 78 53 57 49 53 59 61 56

Hours of delay by cause, total

Amtraka,b N N 3,565 5,527 5,193 5,310 4,796 4,891 20,187

Freightc N N 4,244 11,224 11,438 12,904 14,202 16,158 33,718

Otherd N N 4,316 8,497 8,425 7,611 8,291 8,203 14,718

Totale N N 12,126 25,248 25,056 25,825 27,289 29,252 68,623

KEY: N = data do not exist.

a Beginning in 2000, the significant increase in hours of delay is the result of including the hours of delay from both Amtrak’s Northeast Corridor and operations on contract railroads. The data also reflects the addition of several delay categories. Therefore, pre-2000 data may not be comparable to data from 2000 and subse-quent years.

b Amtrak delays include equipment malfunctions, train servicing in stations, and passenger-related delays.c Freight delays include maintenance of way/slow orders, freight train interference, and signal delays.d Other delays include passenger train interference, waiting for connections, running time, weather-related

delays, and miscellaneous.e Numbers may not add to totals due to rounding.

NOTES: All percentages are based on Amtrak’s fiscal year (October 1–September 30). Amtrak trips are considered delayed based on the following chart:

Delayed departureTrip length (miles) time (minutes)0-250 10251-350 15351-450 20451-550 25≥551 30

SOURCES: On-time performance:1980: Amtrak, National Railroad Passenger Corporation Annual Report (Washington, DC: 1981).1985–2000: Ibid., Amtrak Annual Report, Statistical Appendix (Washington, DC: Annual issues).

Hours of Delay:1980: Amtrak, National Railroad Passenger Corporation Annual Report (Washington, DC: 1981).1985–99: Ibid., Amtrak Annual Report, Statistical Appendix (Washington, DC: Annual issues).2000: Amtrak, personal communication, Dec. 4, 2001.

Page 133: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 134: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Chapter 2Transportation Safety

Section AMultimodal

Page 135: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 136: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Multimodal � 117

TABL

E 2-

1: T

rans

porta

tion

Fata

litie

s by

Mod

e

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

TOTA

L f

atal

itie

sU

UU

UU

U47

,347

44,5

2744

,798

44,4

4443

,909

44,0

36R

44,3

13 U

Air

U.S

. air

carr

iera

499

261

146

124

152

639

168

380

81

1292

531

Com

mut

er c

arrie

rbN

NN

2837

376

914

460

125

13

On-

dem

and

air

taxi

cN

NN

6910

576

5152

6339

4538

7160

Gen

eral

avi

atio

nd78

71,

029

1,31

01,

252

1,23

995

676

773

563

663

162

461

959

3P56

3

Hig

hw

ayP

asse

nger

car

occ

upan

tsN

NN

25,9

2927

,449

23,2

1224

,092

22,4

2322

,505

22,1

9921

,194

20,8

62R

20,6

9920

,233

Mot

orcy

clis

ts79

01,

650

2,28

03,

189

5,14

44,

564

3,24

42,

227

2,16

12,

116

2,29

42,

483

R2,

897

3,18

1

Truc

k oc

cupa

ntse

Ligh

tN

NN

4,85

67,

486

6,68

98,

601

9,56

89,

932

10,2

4910

,705

11,2

65R

11,5

2611

,677

Larg

eN

NN

961

1,26

297

770

564

862

172

374

275

9R

754

704

Bus

occ

upan

tsN

NN

5346

5732

3321

1838

5922

34P

edes

tria

ns7,

210

7,99

08,

950

7,51

68,

070

6,80

86,

482

5,58

45,

449

5,32

15,

228

4,93

9R

4,76

34,

882

Ped

alcy

clis

ts49

069

076

01,

003

965

890

859

833

765

814

760

754

R69

372

8

Oth

erf

27,9

0936

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40,6

371,

018

669

628

584

501

609

573

540

596

R59

167

7

Tota

l hig

hw

ay f

atal

itie

s36

,399

47,0

8952

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44,5

2551

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43,8

2544

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41,8

17k 4

2,06

542

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41,5

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42,1

16

Rai

lro

adg

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hway

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l gra

de c

ross

ing

1,42

11,

610

1,44

091

783

358

269

857

948

846

143

140

242

542

1R

ailro

ad92

492

378

557

558

445

459

956

755

160

257

753

051

254

8

Tran

sith

NN

NN

NN

339

274

264

275

286

299

295

U

Wat

erb

orn

ei

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sel-r

elat

edj

NN

178

243

206

131

8551

5250

7157

32U

Not

rel

ated

to v

esse

l cas

ualti

esN

N42

033

028

113

010

195

9588

9586

87U

Rec

reat

iona

l boa

ting

739

1,36

01,

418

1,46

61,

360

1,11

686

582

970

982

181

573

470

1U

Con

tinue

d ne

xt p

age

Page 137: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

118 � Chapter 2: Transportation Safety

Pip

elin

eN

NN

1519

339

2153

1020

2538

7H

azar

dous

liqu

id p

ipel

ine

NN

47

45

33

50

24

10

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pip

elin

eN

N26

815

286

1848

1018

2137

7

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

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rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aC

arri

ers

oper

atin

g un

der

14 C

FR 1

21, a

ll sc

hedu

led

and

nons

ched

uled

ser

vice

. Sin

ce M

ar. 2

0, 1

997,

14

CFR

121

incl

ude

airc

raft

wit

h 10

or

mor

e se

ats

that

fo

rmer

ly o

pera

ted

unde

r 14

CFR

135

. Thi

s ch

ange

mak

es it

dif

ficu

lt t

o co

mpa

re p

re-1

997

data

for

14

CFR

121

and

14

CFR

135

wit

h m

ore

rece

nt d

ata.

b

All

sche

dule

d se

rvic

e op

erat

ing

unde

r 14

CFR

135

(co

mm

uter

air

car

rier

s). B

efor

e M

ar. 2

0, 1

997,

14

CFR

135

app

lied

to a

ircr

aft

wit

h 30

or

few

er s

eats

. Si

nce

Mar

. 20,

199

7, 1

4 C

FR 1

35 in

clud

es o

nly

airc

raft

wit

h fe

wer

tha

n 10

sea

ts. T

his

chan

ge m

akes

it d

iffi

cult

to

com

pare

pre

-199

7 da

ta f

or 1

4 C

FR 1

21

and

14 C

FR 1

35 w

ith

mor

e re

cent

dat

a.

cN

onsc

hedu

led

serv

ice

oper

atin

g un

der

14 C

FR 1

35 (

on-d

eman

d ai

r ta

xis)

. d

All

oper

atio

ns o

ther

tha

n th

ose

oper

atin

g un

der

14 C

FR 1

21 a

nd 1

4 C

FR 1

35.

eL

arge

tru

cks

are

defi

ned

as t

ruck

s ov

er 1

0,00

0 po

unds

gro

ss v

ehic

le w

eigh

t ra

ting

, inc

ludi

ng s

ingl

e-un

it t

ruck

s an

d tr

uck

trac

tors

. Lig

ht t

ruck

s ar

e de

fine

d as

tr

ucks

of

10,0

00 p

ound

s gr

oss

vehi

cle

wei

ght

rati

ng o

r le

ss, i

nclu

ding

pic

kups

, van

s, t

ruck

-bas

ed s

tati

on w

agon

s, a

nd u

tilit

y ve

hicl

es.

fIn

clud

es o

ccup

ants

of

othe

r ve

hicl

e ty

pes

and

othe

r no

nmot

oris

ts. F

or 1

960-

70, t

he U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion

did

not

brea

k ou

t fa

talit

y da

ta t

o th

e sa

me

leve

l of

deta

il as

in la

ter

year

s, s

o fa

talit

ies

for

thos

e ye

ars

also

incl

ude

occu

pant

s of

pas

seng

er c

ars,

tr

ucks

, and

bus

es.

gIn

clud

es A

mtr

ak. H

ighw

ay-r

ail g

rade

cro

ssin

g fa

talit

ies

data

for

197

0 an

d be

fore

is n

ot c

ompa

rabl

e w

ith

data

aft

er 1

970

due

to c

hang

e in

rep

orti

ng s

yste

m.

Fata

litie

s in

clud

e th

ose

resu

ltin

g fr

om t

rain

acc

iden

ts, t

rain

inci

dent

s, a

nd n

ontr

ain

inci

dent

s. H

ighw

ay-r

ail g

rade

cro

ssin

g fa

talit

ies

are

coun

ted

unde

r hi

gh-

way

, exc

ept

trai

n oc

cupa

nts.

h

Fata

litie

s in

clud

e th

ose

resu

ltin

g fr

om a

ll re

port

able

inci

dent

s, n

ot ju

st f

rom

acc

iden

ts.

iV

esse

l-re

late

d ca

sual

ties

incl

ude

thos

e in

volv

ing

dam

age

to v

esse

ls s

uch

as c

ollis

ions

or

grou

ndin

gs. F

atal

itie

s no

t re

late

d to

ves

sel c

asua

ltie

s in

clud

e de

aths

fr

om f

allin

g ov

erbo

ard

or f

rom

acc

iden

ts in

volv

ing

onbo

ard

equi

pmen

t.

j19

95-2

000

data

com

e fr

om t

he M

arin

e Sa

fety

Man

agem

ent

Info

rmat

ion

Syst

em. D

ata

for

prio

r ye

ars

may

not

be

dire

ctly

com

para

ble.

k

Incl

udes

2 f

atal

itie

s th

at h

ave

not

been

ass

igne

d to

a s

peci

fic

vehi

cle

type

.

NO

TE

SN

umbe

rs m

ay n

ot a

dd t

o to

tals

bec

ause

som

e fa

talit

ies

are

coun

ted

in m

ore

than

one

mod

e. T

o av

oid

doub

le c

ount

ing,

the

fol

low

ing

adju

stm

ents

hav

e be

en m

ade:

m

ost

(not

all)

hig

hway

-rai

l gra

de-c

ross

ing

fata

litie

s ha

ve n

ot b

een

adde

d be

caus

e m

ost

(not

all)

suc

h fa

talit

ies

invo

lve

mot

or v

ehic

les

and,

thu

s, a

re a

lrea

dy

incl

uded

in h

ighw

ay f

atal

itie

s; f

or t

rans

it, a

ll co

mm

uter

rai

l fat

alit

ies

and

mot

or-b

us, t

rolle

y-bu

s, d

eman

d-re

spon

sive

, and

van

-poo

l fat

alit

ies

aris

ing

from

acc

i-de

nts

have

bee

n su

btra

cted

bec

ause

the

y ar

e co

unte

d as

rai

lroa

d, h

ighw

ay, o

r hi

ghw

ay-r

ail g

rade

-cro

ssin

g fa

talit

ies.

The

rea

der

cann

ot r

epro

duce

the

tot

al f

atal

i-ti

es in

thi

s ta

ble

by s

impl

y le

avin

g ou

t th

e nu

mbe

r of

hig

hway

-rai

l gra

de-c

ross

ing

fata

litit

es in

the

sum

and

sub

trac

ting

the

abo

ve t

rans

it s

ubm

odes

, bec

ause

in s

o do

ing,

gra

de-c

ross

ing

fata

litie

s no

t in

volv

ing

mot

or v

ehic

les

wou

ld b

e le

ft o

ut (

see

tabl

e 2-

35 o

n ra

il). A

n ex

ampl

e of

suc

h a

fata

lity

is a

bic

yclis

t hi

t by

a t

rain

at

a gr

ade

cros

sing

. C

auti

on m

ust b

e ex

erci

sed

in c

ompa

ring

fata

litie

s ac

ross

mod

es b

ecau

se s

igni

fica

ntly

dif

fere

nt d

efin

itio

ns a

re u

sed.

In p

arti

cula

r, ra

il an

d tr

ansi

t fat

alit

ies

incl

ude

inci

-de

nt-r

elat

ed (

as d

isti

nct

from

acc

iden

t-re

late

d) f

atal

itie

s, s

uch

as f

atal

itie

s fr

om f

alls

in t

rans

it s

tati

ons

or r

ailr

oad

empl

oyee

fat

alit

ies

from

a f

ire

in a

wor

kshe

d.

Equ

ival

ent f

atal

itie

s fo

r th

e ai

r an

d hi

ghw

ay m

odes

(fat

alit

ies

at a

irpo

rts

not c

ause

d by

mov

ing

airc

raft

or

fata

litie

s fr

om a

ccid

ents

in a

utom

obile

rep

air

shop

s) a

re

not

coun

ted

tow

ard

the

tota

ls f

or t

hese

mod

es. T

hus,

fat

alit

ies

not

nece

ssar

ily d

irec

tly

rela

ted

to in

ser

vice

tra

nspo

rtat

ion

are

coun

ted

for

the

tran

sit

and

rail

mod

es, p

oten

tial

ly o

vers

tati

ng t

he r

isk

for

thes

e m

odes

.

TABL

E 2-

1: T

rans

porta

tion

Fata

litie

s by

Mod

e (C

ontin

ued)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Page 138: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Multimodal � 119

TABL

E 2-

1: T

rans

porta

tion

Fata

litie

s by

Mod

e (C

ontin

ued)

SOU

RC

ES

Air

:19

60: N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: U

.S. A

ir C

arri

er O

pera

tion

s, C

alen

dar

Yea

r 19

67 (

Was

hing

ton,

DC

: D

ecem

ber

1968

).19

65-7

0: I

bid.

, Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata:

U.S

. Air

Car

rier

Ope

rati

ons,

Cal

enda

r Y

ear

1975

, NT

SB/A

RC

-77/

1 (W

ashi

ngto

n, D

C: J

anua

ry 1

977)

. 19

75: I

bid.

, Ann

ual R

evie

w o

f Air

craf

t Acc

iden

t Dat

a: U

.S. A

ir C

arri

er O

pera

tions

, Cal

enda

r Ye

ar 1

983,

NT

SB/A

RC

-87/

01 (W

ashi

ngto

n, D

C: F

ebru

ary

1987

), ta

ble

18.

1980

: Ibi

d., A

nnua

l Rev

iew

of

Air

craf

t Acc

iden

t D

ata:

U.S

. Air

Car

rier

Ope

rati

ons,

Cal

enda

r Y

ear

1981

, NT

SB/A

RC

-85/

01 (W

ashi

ngto

n, D

C: F

ebru

ary

1985

),

tabl

es 2

and

16.

1985

-200

1: I

bid.

, Int

erne

t si

te w

ww

.nts

b.go

v/av

iati

on, t

able

5 a

s of

Aug

. 21,

200

2.

Com

mut

er:

1975

-80:

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

, Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata:

U.S

. Air

Car

rier

Ope

rati

ons,

Cal

enda

r Y

ear

1980

, NT

SB/A

RC

-83/

01 (

Was

hing

ton,

DC

: Jan

uary

198

3), t

able

s 26

and

40.

19

85-2

001:

Ibi

d., I

nter

net

site

ww

w.n

tsb.

gov/

avia

tion

, tab

le 9

as

of A

ug. 2

1, 2

002.

O

n-de

man

d ai

r ta

xi:

1975

-80:

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

, Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata:

U.S

. Air

Car

rier

Ope

rati

ons,

Cal

enda

r Y

ear

1981

, NT

SB/A

RC

-85/

01 (

Was

hing

ton,

DC

: Feb

ruar

y 19

85),

tab

le 6

1.19

85-2

001:

Ibi

d., I

nter

net

site

ww

w.n

tsb.

gov/

avia

tion

, tab

le 9

as

of A

ug. 2

1, 2

002.

Gen

eral

avi

atio

n:19

60-7

0: N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: U

.S. G

ener

al A

viat

ion,

Cal

enda

r Y

ear

1970

, NT

SB/A

RG

-74/

1 (W

ashi

ngto

n, D

C: A

pril

1974

), t

able

117

. 19

75-8

0: I

bid.

, Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata:

Gen

eral

Avi

atio

n, C

alen

dar

Yea

r 19

85, N

TSB

/AR

G-8

7/03

(W

ashi

ngto

n, D

C: O

ctob

er 1

987)

, tab

le 2

1.

1985

-200

1: I

bid.

, Int

erne

t si

te w

ww

.nts

b.go

v/av

iati

on, t

able

10

as o

f A

ug. 2

1, 2

002

and

pers

onal

com

mun

icat

ion,

Nov

. 15,

200

2.

Hig

hway

:19

60-6

5: E

stim

ated

by

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n fr

om d

ata

supp

lied

by U

.S. D

epar

tmen

t of

Hea

lth

and

Hum

an S

ervi

ces,

Nat

iona

l Cen

ter

for

Hea

lth

Stat

isti

cs, a

nd in

divi

dual

sta

te a

ccid

ent

repo

rts

(adj

uste

d to

30-

day

deat

hs).

Fat

alit

ies

data

pri

or t

o 19

75

have

bee

n ad

just

ed t

o re

flec

t th

e Fa

talit

y A

naly

sis

Rep

orti

ng S

yste

m’s

def

init

ion

of a

fat

al c

rash

as

one

that

invo

lves

a m

otor

veh

icle

on

a tr

affi

cway

tha

t re

sult

s in

the

dea

th o

f a

vehi

cle

occu

pant

or

a no

nmot

oris

t w

ithi

n 30

day

s of

the

cra

sh.

1970

-200

1: I

bid.

, Tra

ffic

Saf

ety

Fact

s 20

00, D

OT

HS

809

100

(Was

hing

ton,

DC

: Dec

embe

r 20

00),

tab

le 4

and

per

sona

l com

mun

icat

ion,

Sep

t. 9

, 200

2.R

ail:

Hig

hway

-rai

l gra

de c

ross

ing:

1960

-70:

Nat

iona

l Saf

ety

Cou

ncil,

Acc

iden

t Fa

cts,

197

4 (W

ashi

ngto

n, D

C: 1

974)

.19

75-8

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Rai

lroa

d A

dmin

istr

atio

n, O

ffic

e of

Pol

icy

and

Prog

ram

Dev

elop

men

t, p

erso

nal c

omm

unic

atio

n.19

85-9

0: I

bid.

, Rai

l-H

ighw

ay C

ross

ing

Acc

iden

t/In

cide

nt a

nd I

nven

tory

Bul

leti

n (

Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

S.

1995

-200

1: I

bid.

, Rai

lroa

d Sa

fety

Sta

tist

ics

Ann

ual R

epor

t 20

00 (

Was

hing

ton,

DC

: Jul

y 20

01),

tab

les

1-1

and

8-13

.R

ailr

oad:

1960

-65:

Nat

iona

l Saf

ety

Cou

ncil,

Acc

iden

t Fa

cts,

197

4 (W

ashi

ngto

n, D

C: 1

974)

.19

70-9

0: U

.S. D

epar

tmen

t of T

rans

port

atio

n, F

eder

al R

ailr

oad

Adm

inis

trat

ion,

Hig

hway

-Rai

l Cro

ssin

g A

ccid

ent/

Inci

dent

and

Inv

ento

ry B

ulle

tin

(Was

hing

ton,

D

C: A

nnua

l iss

ues)

, tab

le 7

.19

95-2

001:

Ibi

d., R

ailr

oad

Safe

ty S

tati

stic

s A

nnua

l Rep

ort

2000

(W

ashi

ngto

n, D

C: J

uly

2001

), t

able

s 1-

1 an

d 8-

13.

Tra

nsit

:19

90-9

9: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Tra

nsit

Adm

inis

trat

ion,

Saf

ety

Man

agem

ent

Info

rmat

ion

Stat

isti

cs 1

999

(Was

hing

ton,

DC

: 200

1), p

. 41.

2000

: U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al T

rans

it A

dmin

istr

atio

n, p

erso

nal c

omm

unic

atio

ns, M

ar. 1

9, 2

002.

Wat

er:

Ves

sel-

and

non

vess

el-r

elat

ed:

1970

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, U

.S. C

oast

Gua

rd, O

ffic

e of

Inv

esti

gati

ons

and

Ana

lysi

s, C

ompl

ianc

e A

naly

sis

Div

isio

n, (

G-M

OA

-2),

per

sona

l co

mm

unic

atio

n, A

pr. 1

3, 1

999.

19

95-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, U

.S. C

oast

Gua

rd, D

ata

Adm

inis

trat

ion

Div

isio

n (G

-MR

I-1)

, per

sona

l com

mun

icat

ion,

Dec

. 12,

200

1.R

ecre

atio

nal b

oati

ng:

1960

-200

0: I

bid.

, Off

ice

of B

oati

ng S

afet

y, B

oati

ng S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.H

azar

dous

liqu

id a

nd g

as p

ipel

ine:

1970

-200

1: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Res

earc

h an

d Sp

ecia

l Pro

gram

s A

dmin

istr

atio

n, O

ffic

e of

Pip

elin

e Sa

fety

, per

sona

l com

mun

icat

ion

and

Inte

r-ne

t si

te h

ttp:

//ops

.dot

.gov

as

of A

ug. 2

2, 2

002.

Page 139: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

120 � Chapter 2: Transportation SafetyTA

BLE

2-2:

Inju

red

Pers

ons

by T

rans

porta

tion

Mod

e

1960

1965

1970

1975

1980

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

TOTA

L in

jure

d p

erso

ns

UU

UU

UU

UU

3,51

7,76

73,

532,

287

3,39

7,51

23,

241,

660

3,28

4,45

03,

240,

424

U

Air

a

U.S

. air

carr

ierb

NN

107

8119

1930

2925

7743

30R

6727

16

Com

mut

er c

arrie

rcN

NN

N14

1414

1117

21

22

74

On-

dem

and

air

taxi

dN

NN

N43

4344

3614

2223

1014

1223

Gen

eral

avi

atio

neN

N71

576

9R

681

681

501

409

396

365

350

327

322

310

322

Hig

hw

ay

Pas

seng

er c

ar o

ccup

ants

NN

NN

NN

N2,

376,

439

2,46

9,35

82,

458,

080

2,34

0,61

22,

201,

375

2,13

7,50

32,

051,

609

1,92

6,62

5

Mot

orcy

clis

tsN

NN

NN

NN

84,2

8557

,480

55,2

8152

,574

48,9

7449

,986

57,7

2360

,236

Truc

k oc

cupa

ntsf

Ligh

tN

NN

NN

NN

505,

144

722,

496

761,

478

754,

820

762,

506

846,

865

886,

566

860,

527

Larg

eN

NN

NN

NN

41,8

2230

,344

32,7

6030

,913

28,7

6732

,892

30,8

3229

,424

Bus

occ

upan

tsN

NN

NN

NN

32,6

9119

,214

20,2

9116

,887

15,5

5921

,958

17,7

6915

,427

Ped

estr

ians

NN

NN

NN

N10

4,80

585

,837

81,7

9777

,011

68,9

5585

,235

77,6

2577

,619

Ped

alcy

clis

tsN

NN

NN

NN

74,9

0366

,572

58,1

5857

,802

53,3

7951

,290

51,1

6045

,277

Oth

erg

NN

NN

NN

N10

,578

13,9

7715

,473

16,9

9512

,519

10,5

0915

,466

17,5

36

Tota

l hig

hw

ayN

NN

NN

NN

3,23

0,66

63,

465,

279

3,48

3,31

93,

347,

614

3,19

2,03

53,

236,

238

3,18

8,75

03,

032,

672

Rai

lro

adh

Hig

hway

-rai

l gra

de c

ross

ing

3,36

73,

725

3,27

23,

860

3,55

03,

550

2,68

72,

407

1,89

41,

610

1,54

01,

303

1,39

61,

219

1,15

4

Rai

lroad

16,1

1321

,930

17,9

3450

,138

58,6

9658

,696

31,6

1722

,736

12,5

4610

,948

10,2

2710

,156

10,3

0410

,424

9,73

9

Tran

siti

NN

NN

NN

N54

,556

57,1

9655

,288

56,1

3255

,990

55,3

2556

,697

U

Wat

erb

orn

ej

Ves

sel-r

elat

edk

NN

105

9718

018

017

217

514

522

312

113

513

112

5U

Not

rel

ated

to v

esse

l cas

ualti

esk

NN

UU

UU

U1,

833

1,32

71,

037

540

500

564

U

Rec

reat

iona

l boa

ting

929

927

780

2,13

62,

650

2,65

02,

757

3,82

24,

141

4,44

24,

555

4,61

24,

315

4,35

5U

Pip

elin

e

Haz

ardo

us li

quid

pip

elin

eN

N21

1715

1518

711

135

620

410

Gas

pip

elin

eN

N23

321

417

717

710

869

5311

472

7693

7746

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aIn

juri

es c

lass

ifie

d as

ser

ious

. See

def

init

ions

of

inju

ries

in t

he g

loss

ary.

b

All

sche

dule

d an

d no

nsch

edul

ed s

ervi

ce o

pera

ting

und

er 1

4 C

FR 1

21. S

ince

Mar

. 20,

199

7, 1

4 C

FR 1

21 in

clud

es o

nly

airc

raft

wit

h 10

or

mor

e se

ats

form

erly

op

erat

ed u

nder

14

CFR

135

. Thi

s ch

ange

mak

es it

dif

ficu

lt t

o co

mpa

re p

re-1

997

data

for

14

CFR

121

and

14

CFR

135

wit

h m

ore

rece

nt y

ears

’ dat

a.

cA

ll sc

hedu

led

serv

ice

oper

atin

g un

der

14 C

FR 1

35 (

com

mut

er a

ir c

arri

ers)

. Bef

ore

Mar

. 20,

199

7, 1

4 C

FR 1

35 a

pplie

d to

air

craf

t w

ith

30 o

r fe

wer

sea

ts.

Sinc

e M

ar. 2

0, 1

997,

14

CFR

135

incl

udes

onl

y ai

rcra

ft w

ith

few

er t

han

10 s

eats

. Thi

s ch

ange

mak

es it

dif

ficu

lt t

o co

mpa

re p

re-1

997

data

for

14

CFR

121

an

d 14

CFR

135

wit

h m

ore

rece

nt y

ears

’ dat

a.

dN

onsc

hedu

led

serv

ice

oper

atin

g un

der

14 C

FR 1

35 (

on-d

eman

d ai

r ta

xis)

.

Page 140: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Multimodal � 121

TABL

E 2-

2: In

jure

d Pe

rson

s by

Tra

nspo

rtatio

n M

ode

(Con

tinue

d)

e A

ll op

erat

ions

oth

er t

han

thos

e op

erat

ing

unde

r 14

CFR

121

and

14

CFR

135

.f L

arge

tru

cks

are

defi

ned

as t

ruck

s ov

er 1

0,00

0 po

unds

gro

ss v

ehic

le w

eigh

t ra

ting

, inc

ludi

ng s

ingl

e-un

it t

ruck

s an

d tr

uck

trac

tors

. Lig

ht t

ruck

s ar

e de

fine

d as

tr

ucks

of

10,0

00 p

ound

s gr

oss

vehi

cle

wei

ght

rati

ng o

r le

ss, i

nclu

ding

pic

kups

, van

s, t

ruck

-bas

ed s

tati

on w

agon

s, a

nd u

tilit

y ve

hicl

es.

g In

clud

es o

ccup

ants

of

othe

r un

know

n ve

hicl

e ty

pes

and

othe

r no

nmot

oris

ts.

h In

clud

es A

mtr

ak. F

igur

es in

clud

e th

ose

inju

ries

res

ulti

ng f

rom

tra

in a

ccid

ents

, tra

in in

cide

nts,

and

non

trai

n in

cide

nts.

Inj

ury

figu

res

also

incl

ude

occu

pati

onal

ill

ness

. Rai

lroa

d in

juri

es d

ata

for

1970

and

bef

ore

are

not

com

para

ble

wit

h po

st-1

970

data

due

to

chan

ge in

rep

orti

ng s

yste

m. H

ighw

ay-r

ail g

rade

cro

ssin

g in

juri

es a

re c

ount

ed u

nder

hig

hway

, exc

ept

trai

n oc

cupa

nts.

i I

nclu

des

mot

or b

us, c

omm

uter

rai

l, he

avy

rail,

ligh

t ra

il, d

eman

d re

spon

sive

, van

poo

l, an

d au

tom

ated

gui

dew

ay. T

rans

it in

juri

es in

clud

e th

ose

resu

ltin

g fr

om

all r

epor

tabl

e in

cide

nts,

not

just

fro

m a

ccid

ents

. j V

esse

l-re

late

d in

juri

es in

clud

e th

ose

invo

lvin

g da

mag

e to

ves

sels

, suc

h as

col

lisio

ns o

r gr

ound

ings

. Inj

urie

s no

t re

late

d to

ves

sel c

asua

ltie

s in

clud

e th

ose

from

fa

lls o

verb

oard

or

from

acc

iden

ts in

volv

ing

onbo

ard

equi

pmen

t.

k 19

92-2

000

data

com

e fr

om t

he M

arin

e Sa

fety

Man

agem

ent

Info

rmat

ion

Syst

em. D

ata

for

prio

r ye

ars

may

not

be

dire

ctly

com

para

ble.

NO

TE

ST

he m

otor

veh

icle

inju

ry d

ata

in t

his

tabl

e co

me

from

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n’s

Gen

eral

Est

i-m

ates

Sys

tem

(G

ES)

. The

dat

a fr

om G

ES,

whi

ch b

egan

ope

rati

on in

198

8, a

re o

btai

ned

from

a n

atio

nally

rep

rese

ntat

ive

prob

abili

ty s

ampl

e se

lect

ed f

rom

all

polic

e-re

port

ed c

rash

es. T

he G

ES

sam

ple

incl

udes

onl

y cr

ashe

s w

here

a p

olic

e ac

cide

nt r

epor

t w

as c

ompl

eted

and

the

cra

sh r

esul

ted

in p

rope

rty

dam

age,

in

jury

, or

deat

h. T

he r

esul

ting

fig

ures

do

not

take

into

acc

ount

cra

shes

tha

t w

ere

not

repo

rted

to

the

polic

e or

did

not

res

ult

in p

rope

rty

dam

age.

The

199

3 N

atio

nal T

rans

port

atio

n St

atis

tics

(N

TS)

His

tori

cal C

ompe

ndiu

m a

nd e

arlie

r ed

itio

ns u

sed

inju

ry f

igur

es e

stim

ated

by

the

Nat

iona

l Saf

ety

Cou

ncil,

whi

ch

used

a d

iffe

rent

set

of

met

hods

to

arri

ve a

t it

s fi

gure

s. T

hus,

the

inju

ry f

igur

es in

thi

s ed

itio

n of

NT

S m

ay n

ot b

e co

mpa

rabl

e w

ith

thos

e fo

und

in t

he C

om-

pend

ium

and

ear

lier

edit

ions

. N

umbe

rs m

ay n

ot a

dd to

tot

als

beca

use

som

e in

juri

es a

re c

ount

ed in

mor

e th

an o

ne m

ode.

To

avoi

d do

uble

cou

ntin

g, th

e fo

llow

ing

adju

stm

ents

hav

e be

en m

ade

in t

he t

otal

inju

red

row

:•

mos

t (n

ot a

ll) h

ighw

ay-r

ail g

rade

cro

ssin

g in

juri

es h

ave

not b

een

adde

d be

caus

e m

ost

(not

all)

suc

h in

juri

es in

volv

e m

otor

veh

icle

s an

d ar

e al

read

y in

clud

ed

in h

ighw

ay in

juri

es;

• fo

r tr

ansi

t, a

ll co

mm

uter

rai

l inj

urie

s an

d m

otor

-bus

, tro

lley-

bus,

dem

and-

resp

onsi

ve, a

nd v

an-p

ool i

njur

ies

aris

ing

from

for

tra

nsit

, all

com

mut

er r

ail i

nju-

ries

and

mot

or-b

us, t

rolle

y-bu

s, d

eman

d-re

spon

sive

, and

van

-poo

l inj

urie

s ar

isin

g fr

om a

ccid

ents

hav

e be

en s

ubtr

acte

d be

caus

e th

ey a

re c

ount

ed a

s ra

il-ro

ad, h

ighw

ay, o

r hi

ghw

ay-r

ail g

rade

cro

ssin

g in

juri

es.

The

rea

der

cann

ot r

epro

duce

the

tot

al in

juri

es c

ount

in t

his

tabl

e by

sim

ply

leav

ing

out

the

num

ber

of h

ighw

ay-r

ail g

rade

cro

ssin

g in

juri

es in

the

sum

and

sub

-tr

acti

ng t

he a

bove

tra

nsit

sub

mod

es, b

ecau

se in

so

doin

g, g

rade

-cro

ssin

g in

juri

es n

ot in

volv

ing

mot

or v

ehic

les

wou

ld b

e le

ft o

ut (

see

tabl

e 2-

35 o

n ra

il). A

n ex

ampl

e of

suc

h an

inju

ry is

a b

icyc

list

inju

red

by a

tra

in a

t a

grad

e cr

ossi

ng.

SOU

RC

ES

Air

:U

.S. a

ir c

arri

er:

1970

-90:

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

, Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata:

U.S

. Air

Car

rier

Ope

rati

ons

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

1995

-200

1: I

bid.

, Ana

lysi

s an

d D

ata

Div

isio

n, p

erso

nal c

omm

unic

atio

ns, A

ug. 8

, 199

6, M

ar. 1

0, 1

999,

Mar

. 23,

200

0, M

ay 7

, 200

2, a

nd S

ept.

11,

200

2.C

omm

uter

car

rier

, and

on-

dem

and

air

taxi

:19

80-9

0: N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: U

.S. A

ir C

arri

er O

pera

tion

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.19

95-2

001:

Ibi

d., A

naly

sis

and

Dat

a D

ivis

ion,

per

sona

l com

mun

icat

ions

, 199

6, 1

997,

199

8, 2

000,

May

7, 2

002,

and

Sep

t. 1

1, 2

002.

Gen

eral

avi

atio

n:19

70-9

0: N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: G

ener

al A

viat

ion

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

1995

-200

1: I

bid.

, Ana

lysi

s an

d D

ata

Div

isio

n, p

erso

nal c

omm

unic

atio

ns, 1

996,

199

7, 1

998,

200

0, M

ay 7

, 200

2 an

d Se

pt. 1

1, 2

002.

Hig

hway

:19

90-9

9: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Tra

ffic

Saf

ety

Fact

s 19

99, D

OT

HS

809

100

(Was

hing

ton,

DC

: Dec

embe

r 20

00),

tab

le 4

. 20

01: I

bid.

, Gen

eral

Est

imat

es S

yste

m D

atab

ase

and

pers

onal

com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Con

tinue

d ne

xt p

age

Page 141: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

122 � Chapter 2: Transportation SafetyTA

BLE

2-2:

Inju

red

Pers

ons

by T

rans

porta

tion

Mod

e (C

ontin

ued)

Rai

l:H

ighw

ay-r

ail g

rade

cro

ssin

gs:

1960

-70:

Nat

iona

l Saf

ety

Cou

ncil,

Acc

iden

t Fa

cts,

197

4 (W

ashi

ngto

n, D

C: 1

974)

.19

75: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Rai

lroa

d A

dmin

istr

atio

n, O

ffic

e of

Pol

icy

and

Prog

ram

Dev

elop

men

t, p

erso

nal c

omm

unic

atio

n.19

80-9

0: I

bid.

, Rai

l-H

ighw

ay C

ross

ing

Acc

iden

t/In

cide

nt a

nd I

nven

tory

Bul

leti

n (

Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

S.

1995

-200

1: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Rai

lroa

d A

dmin

istr

atio

n, R

ailr

oad

Safe

ty S

tati

stic

s A

nnua

l Rep

ort

2001

(Was

hing

ton,

DC

: Sep

t.

2002

), t

able

s 1-

1 an

d 8-

13.

Rai

lroa

d:19

60-7

0: N

atio

nal S

afet

y C

ounc

il, A

ccid

ent

Fact

s, 1

974

(Was

hing

ton,

DC

: 197

4).

1970

-90:

U.S

. Dep

artm

ent o

f Tra

nspo

rtat

ion,

Fed

eral

Rai

lroa

d A

dmin

istr

atio

n, H

ighw

ay-R

ail C

ross

ing

Acc

iden

t/In

cide

nt a

nd I

nven

tory

Bul

leti

n (W

ashi

ngto

n,

DC

: Ann

ual i

ssue

s), t

able

7.

1995

-200

1: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Rai

lroa

d A

dmin

istr

atio

n, R

ailr

oad

Safe

ty S

tati

stic

s A

nnua

l Rep

ort

2001

(W

ashi

ngto

n, D

C: S

ept.

20

02),

tab

les

1-1

and

8-13

.

Tra

nsit

:19

90-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al T

rans

it A

dmin

istr

atio

n, S

afet

y M

anag

emen

t In

form

atio

n St

atis

tics

(W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.

Wat

er:

Wat

erbo

rne

tran

spor

tati

on:

1970

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, U

.S. C

oast

Gua

rd, O

ffic

e of

Inv

esti

gati

ons

and

Ana

lysi

s, C

ompl

ianc

e A

naly

sis

Div

isio

n, (

G-M

OA

-2),

per

sona

l co

mm

unic

atio

n, A

pr. 1

3, 1

999.

1995

-200

0: I

bid.

, Dat

a A

dmin

istr

atio

n D

ivis

ion

(G-M

RI-

1), p

erso

nal c

omm

unic

atio

n, D

ec. 1

2, 2

001.

Rec

reat

iona

l boa

ting

:19

60-2

000:

Ibi

d., O

ffic

e of

Boa

ting

Saf

ety,

Boa

ting

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Haz

ardo

us li

quid

and

gas

pip

elin

e:19

70-2

001:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, R

esea

rch

and

Spec

ial P

rogr

ams

Adm

inis

trat

ion,

Off

ice

of P

ipel

ine

Safe

ty, p

erso

nal c

omm

unic

atio

n an

d In

ter-

net

site

htt

p://o

ps.d

ot.g

ov a

s of

Sep

t. 1

0, 2

002.

Page 142: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Multimodal � 123

TABL

E 2-

3: T

rans

porta

tion

Acci

dent

sa b

y M

ode

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Air

U.S

. air

carr

ierb

9083

5537

1921

2436

3749

5051

5645

Com

mut

er c

arrie

rcN

NN

4838

1815

1211

168

1312

7

On-

dem

and

air

taxi

dN

NN

152

171

157

107

7590

8277

73R

8072

Gen

eral

avi

atio

ne4,

793

5,19

64,

712

3,99

53,

590

2,73

92,

241

2,05

61,

908

1,84

51,

904

1,90

6R

1,83

51,

723

Hig

hw

ayP

asse

nger

car

NN

NN

NN

5,56

1,00

05,

594,

000

5,59

9,00

05,

423,

000

5,14

6,00

04,

916,

000

4,92

6,00

04,

832,

000

Mot

orcy

cle

NN

NN

NN

103,

000

66,0

0066

,000

61,0

0054

,000

57,0

0069

,000

73,0

00

Truc

kf

Ligh

tN

NN

NN

N2,

152,

000

2,75

0,00

02,

881,

000

2,90

1,00

02,

867,

000

3,08

0,00

03,

208,

000

3,25

4,00

0La

rge

NN

NN

NN

372,

000

363,

000

378,

000

421,

000

392,

000

452,

000

438,

000

409,

000

Bus

NN

NN

NN

60,0

0059

,000

57,0

0053

,000

53,0

0063

,000

56,0

0054

,000

Tota

l hig

hw

ay c

rash

esa

NN

NN

NN

6,47

1,00

06,

699,

000

6,77

0,00

06,

624,

000

6,33

5,00

06,

279,

000

6,39

4,00

06,

323,

000

Rai

lH

ighw

ay-r

ail g

rade

cro

ssin

gg,h

3,19

53,

820

3,55

912

,076

10,6

126,

919

5,71

54,

633

4,25

73,

865

3,50

83,

489

3,50

23,

233

Rai

lroad

g ,i

NN

8,09

58,

041

8,20

53,

275

2,87

92,

459

2,44

32,

397

2,57

52,

768

2,98

32,

987

Tran

sitj

NN

NN

NN

58,0

0225

,683

25,1

6624

,924

23,9

3723

,310

24,2

61U

Wat

erb

orn

eV

esse

l-rel

ated

NN

2,58

23,

310

4,62

43,

439

3,61

34,

298

4,26

44,

198

4,37

44,

036

3,79

1U

Rec

reat

iona

l boa

ting

2,73

83,

752

3,80

36,

308

5,51

36,

237

6,41

18,

019

8,02

68,

047

8,06

17,

931

7,74

0U

Pip

elin

eH

azar

dous

liqu

id p

ipel

ine

NN

351

254

246

183

180

188

194

171

153

168

147

129

Gas

pip

elin

eN

N1,

077

1,33

81,

524

334

198

161

187

175

236

173

234

209

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aT

he U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion

uses

the

term

“cr

ash”

inst

ead

of a

ccid

ent i

n it

s hi

ghw

ay s

afet

y da

ta.

Hig

hway

cra

shes

oft

en in

volv

e m

ore

than

one

mot

or v

ehic

le, h

ence

“to

tal h

ighw

ay c

rash

es”

is s

mal

ler

than

the

sum

of

the

com

pone

nts.

Est

imat

es o

f hi

ghw

ay

cras

hes

are

roun

ded

to t

he n

eare

st t

hous

and

in t

he s

ourc

e do

cum

ent.

bC

arri

ers

oper

atin

g un

der

14 C

FR 1

21, a

ll sc

hedu

led

and

nons

ched

uled

ser

vice

. Sin

ce M

ar. 2

0, 1

997,

14

CFR

121

incl

udes

onl

y ai

rcra

ft w

ith

10 o

r m

ore

seat

s fo

r-m

erly

ope

rate

d un

der

14 C

FR 1

35. T

his

chan

ge m

akes

it d

iffi

cult

to

com

pare

pre

-199

7 da

ta f

or 1

4 C

FR 1

21 a

nd 1

4 C

FR 1

35 w

ith

mor

e re

cent

yea

rs’ d

ata.

cA

ll sc

hedu

led

serv

ice

oper

atin

g un

der

14 C

FR 1

35. S

ince

Mar

. 20,

199

7, 1

4 C

FR 1

21 in

clud

es o

nly

airc

raft

wit

h 10

or

mor

e se

ats

form

erly

ope

rate

d un

der

14

CFR

135

. Thi

s ch

ange

mak

es it

dif

ficu

lt t

o co

mpa

re p

re-1

997

data

for

14

CFR

121

and

14

CFR

135

wit

h m

ore

rece

nt y

ears

’ dat

a.

dN

onsc

hedu

led

serv

ice

oper

atin

g un

der

14 C

FR 1

35.

eA

ll op

erat

ions

oth

er t

han

thos

e op

erat

ing

unde

r 14

CFR

121

and

14

CFR

135

.f

Lar

ge t

ruck

s ar

e de

fine

d as

tru

cks

over

10,

000

poun

ds g

ross

veh

icle

wei

ght

rati

ng, i

nclu

ding

sin

gle-

unit

tru

cks

and

truc

k tr

acto

rs. L

ight

tru

cks

are

defi

ned

as

truc

ks o

f 10

,000

pou

nds

gros

s ve

hicl

e w

eigh

t ra

ting

or

less

, inc

ludi

ng p

icku

ps, v

ans,

tru

ck-b

ased

sta

tion

wag

ons,

and

uti

lity

vehi

cles

.g

Incl

udes

Am

trak

.h

Incl

udes

bot

h ac

cide

nts

and

inci

dent

s. D

ata

not

com

para

ble

afte

r 19

70 d

ue t

o ch

ange

in r

epor

ting

sys

tem

. Mos

t hi

ghw

ay-r

ail g

rade

cro

ssin

g ac

cide

nts

are

coun

ted

unde

r hi

ghw

ay.

iT

rain

acc

iden

ts o

nly.

jA

ccid

ent

figu

res

incl

ude

colli

sion

s w

ith

vehi

cles

, obj

ects

, and

peo

ple,

der

ailm

ents

/ ve

hicl

es g

oing

off

the

roa

d. A

ccid

ent

figu

res

do n

ot in

clud

e fi

res

and

per-

sona

l cas

ualt

ies.

Con

tinue

d ne

xt p

age

Page 143: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

124 � Chapter 2: Transportation SafetyTA

BLE

2-3:

Tra

nspo

rtatio

n Ac

cide

ntsa

by

Mod

e (C

ontin

ued)

NO

TE

ST

he m

otor

veh

icle

cra

sh d

ata

in t

his

tabl

e co

me

from

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

ns’ G

ener

al E

sti-

mat

es S

yste

m (

GE

S), w

hich

beg

an o

pera

tion

in 1

988.

GE

S da

ta a

re o

btai

ned

from

a n

atio

nally

rep

rese

ntat

ive

prob

abili

ty s

ampl

e se

lect

ed f

rom

all

polic

e-re

port

ed c

rash

es. T

he G

ES

sam

ple

incl

udes

onl

y cr

ashe

s w

here

a p

olic

e ac

cide

nt r

epor

t w

as c

ompl

eted

and

the

cra

sh r

esul

ted

in p

rope

rty

dam

age,

inju

ry, o

r de

ath.

The

res

ulti

ng f

igur

es d

o no

t ta

ke in

to a

ccou

nt c

rash

es t

hat

wer

e no

t re

port

ed t

o th

e po

lice

or d

id n

ot r

esul

t in

pro

pert

y da

mag

e. T

he 1

993

Nat

iona

l T

rans

port

atio

n St

atis

tics

(N

TS)

His

tori

cal C

ompe

ndiu

m a

nd e

arlie

r ed

itio

ns u

sed

cras

h fi

gure

s es

tim

ated

by

the

Nat

iona

l Saf

ety

Cou

ncil,

whi

ch u

sed

a di

f-fe

rent

set

of

met

hods

to a

rriv

e at

its

figu

res.

Thu

s, t

he c

rash

fig

ures

in t

his

edit

ion

of N

TS

may

not

be

com

para

ble

wit

h th

ose

foun

d in

the

Com

pend

ium

and

ea

rlie

r ed

itio

ns.

Num

bers

may

not

add

to

tota

ls b

ecau

se s

ome

acci

dent

s / c

rash

es a

re c

ount

ed in

mor

e th

an o

ne m

ode.

To

avoi

d do

uble

cou

ntin

g, t

he f

ollo

win

g ad

just

men

ts

have

bee

n m

ade

in t

he t

otal

acc

iden

ts r

ow:

• m

ost

(not

all)

hig

hway

-rai

l gra

de-c

ross

ing

inju

ries

hav

e no

t be

en a

dded

bec

ause

mos

t (n

ot a

ll) s

uch

acci

dent

s in

volv

e m

otor

veh

icle

s an

d, t

hus,

are

alr

eady

in

clud

ed in

hig

hway

cra

shes

;•

for

tran

sit,

all

com

mut

er r

ail a

ccid

ents

and

mot

or b

us, t

rolle

y bu

s, d

eman

d re

spon

sive

, and

van

poo

l acc

iden

ts h

ave

been

sub

trac

ted

beca

use

they

are

co

unte

d as

rai

lroa

d, h

ighw

ay, o

r hi

ghw

ay-r

ail g

rade

-cro

ssin

g ac

cide

nts.

Not

e th

at t

he r

eade

r ca

nnot

rep

rodu

ce t

he t

otal

acc

iden

ts c

ount

in t

his

tabl

e by

sim

ply

leav

ing

out

high

way

-rai

l gra

de-c

ross

ing

acci

dent

s in

the

sum

and

sub

-tr

acti

ng th

e ab

ove

tran

sit

subm

odes

, bec

ause

in s

o do

ing,

gra

de-c

ross

ing

acci

dent

s no

t inv

olvi

ng m

otor

veh

icle

s w

ould

be

left

out

(se

e ta

ble

2-35

on

rail)

. An

exam

ple

of s

uch

an a

ccid

ent

is a

bic

yclis

t hi

t by

a t

rain

at

a gr

ade

cros

sing

.

SOU

RC

ES

Air

:A

ir c

arri

er:

1960

: Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

, Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata:

U.S

. Air

Car

rier

Ope

rati

ons,

Cal

enda

r Y

ear

1967

(W

ashi

ngto

n, D

C:

Dec

embe

r 19

68).

1965

-70:

Ibi

d., A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: U

.S. A

ir C

arri

er O

pera

tion

s, C

alen

dar

Yea

r 19

75, N

TSB

/AR

C-7

7/1

(Was

hing

ton,

DC

: Jan

uary

197

7).

1975

: Ibi

d., A

nnua

l Rev

iew

of

Air

craf

t Acc

iden

t D

ata:

U.S

. Air

Car

rier

Ope

rati

ons,

Cal

enda

r Y

ear

1983

, NT

SB/A

RC

-87/

01 (W

ashi

ngto

n, D

C: F

ebru

ary

1987

),

tabl

e 18

.19

80: I

bid.

, Ann

ual R

evie

w o

f A

ircr

aft A

ccid

ent

Dat

a: U

.S. A

ir C

arri

er O

pera

tion

s, C

alen

dar

Yea

r 19

81, N

TSB

/AR

C-8

5/01

(Was

hing

ton,

DC

: Feb

ruar

y 19

85),

ta

bles

2 a

nd 1

6.19

85-2

001:

Ibi

d., I

nter

net

site

ww

w.n

tsb.

gov/

avia

tion

as

of A

ug. 2

7, 2

002,

tab

le 5

.C

omm

uter

air

car

rier

:19

75-8

0: N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: U

.S. A

ir C

arri

er O

pera

tion

s, C

alen

dar

Yea

r 19

80, N

TSB

/AR

C-8

3/01

(W

ashi

ngto

n, D

C: J

anua

ry 1

983)

, tab

les

26 a

nd 4

0.

1985

-200

1: I

bid.

, Int

erne

t si

te w

ww

.nts

b.go

v/av

iati

on a

s of

Aug

. 27,

200

2, t

able

8.

On-

dem

and

air

taxi

:19

75-8

0: N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: U

.S. A

ir C

arri

er O

pera

tion

s, C

alen

dar

Yea

r 19

81, N

TSB

/AR

C-8

5/01

(W

ashi

ngto

n, D

C: F

ebru

ary

1985

), t

able

61.

1985

-200

1: I

bid.

, Int

erne

t si

te w

ww

.nts

b.go

v/av

iati

on a

s of

Aug

. 27,

200

2, t

able

9.

Gen

eral

avi

atio

n:19

60-7

0: N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: G

ener

al A

viat

ion,

Cal

enda

r Y

ear

1970

, NT

SB/A

RG

-74/

1 (W

ashi

ng-

ton,

DC

: Apr

il 19

74),

tab

le 1

17.

1975

-80:

Ibi

d., A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: G

ener

al A

viat

ion,

Cal

enda

r Y

ear

1985

, NT

SB/A

RG

-87/

03 (

Was

hing

ton,

DC

: Oct

ober

198

7), t

able

21.

19

85-2

001:

Ibi

d., I

nter

net

site

ww

w.n

tsb.

gov/

avia

tion

as

of A

ug. 2

7, 2

002,

tab

le 1

0 an

d pe

rson

al c

omm

unic

atio

n, N

ov. 1

5, 2

002.

Hig

hway

:19

90-2

001:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, N

atio

nal C

ente

r fo

r St

atis

tics

and

Ana

lysi

s, T

raff

ic S

afet

y Fa

cts

2001

, DO

T H

S 80

9 10

0 (W

ashi

ngto

n, D

C: D

ecem

ber

2000

), t

able

1 a

nd p

erso

nal c

omm

unic

atio

n, S

ept.

10,

200

2.

Page 144: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Multimodal � 125

Rai

l:H

ighw

ay-r

ail g

rade

cro

ssin

gs:

1960

-70:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al R

ailr

oad

Adm

inis

trat

ion,

Off

ice

of P

olic

y an

d Pr

ogra

m D

evel

opm

ent,

Rai

l-H

ighw

ay G

rade

-Cro

ssin

g A

ccid

ents

(W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.19

75-8

0: I

bid.

, Off

ice

of P

olic

y an

d Pr

ogra

m D

evel

opm

ent,

per

sona

l com

mun

icat

ion.

1985

-90:

Ibi

d., R

ail-

Hig

hway

Cro

ssin

g A

ccid

ent/

Inci

dent

and

Inv

ento

ry B

ulle

tin

(W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le S

.19

91-2

001:

Ibi

d., R

ailr

oad

Safe

ty S

tati

stic

s A

nnua

l Rep

ort

2001

(W

ashi

ngto

n, D

C: J

uly

2001

), t

able

1-1

.R

ailr

oad:

1970

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al R

ailr

oad

Adm

inis

trat

ion,

Off

ice

of P

olic

y an

d Pr

ogra

m D

evel

opm

ent,

Acc

iden

t/In

cide

nt B

ulle

tin

(Was

h-in

gton

, DC

: Ann

ual i

ssue

s), t

able

4.

1991

-200

1: I

bid.

, Rai

lroa

d Sa

fety

Sta

tist

ics

Ann

ual R

epor

t 20

01 (

Was

hing

ton,

DC

: Jul

y 20

01),

tab

le 1

-1.

Tra

nsit

:19

90-2

000:

U.S

. Dep

artm

ent o

f Tra

nspo

rtat

ion,

Fed

eral

Tra

nsit

Adm

inis

trat

ion,

Saf

ety

Man

agem

ent I

nfor

mat

ion

Stat

istic

s 20

00 (W

ashi

ngto

n, D

C: 2

000)

, pp.

51-

54.

Wat

er:

Ves

sel-

rela

ted:

1970

-91:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, U

.S. C

oast

Gua

rd, O

ffic

e of

Inv

esti

gati

ons

and

Ana

lysi

s, C

ompl

ianc

e A

naly

sis

Div

isio

n, p

erso

nal c

omm

unic

a-ti

on, A

pr. 1

3, 1

999.

1992

-200

0: I

bid.

, Dat

a A

dmin

istr

atio

n D

ivis

ion

(G-M

RI-

1), p

erso

nal c

omm

unic

atio

n, D

ec. 1

2, 2

001.

Rec

reat

iona

l boa

ting

:19

60-2

000:

Ibi

d., O

ffic

e of

Boa

ting

Saf

ety,

Boa

ting

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Haz

ardo

us li

quid

and

gas

pip

elin

e:19

70-2

001:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, R

esea

rch

and

Spec

ial P

rogr

ams

Adm

inis

trat

ion,

Off

ice

of P

ipel

ine

Safe

ty, I

nter

net

site

, htt

p://o

ps.d

ot.g

ov a

s of

N

ov. 1

5, 2

002.

TABL

E 2-

3: T

rans

porta

tion

Acci

dent

sa b

y M

ode

(Con

tinue

d)

Page 145: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

126 � Chapter 2: Transportation Safety

TABLE 2-4: Distribution of Transportation Fatalities by Mode

1999 2000

Number Percent Number Percent

TOTAL of all modesa 44,036 100.0 R44,313 100.0

Passenger car occupants 20,862 47.4 R20,699 46.7

Light-truck occupants 11,265 25.6 R11,526 26.0

Pedestrians struck by motor vehicles 4,939 11.2 R4,763 10.7

Motorcyclists 2,483 5.6 R2,897 6.5

Large-truck occupants 759 1.7 R754 1.7

Recreational boating 734 1.7 701 1.6Pedalcyclists struck by motor vehicles 754 1.7 R693 1.6

General aviation 619 1.4 R593 1.3

Railroad trespassersb (excluding grade crossings) 479 1.1 463 1.0

Other and unknown motor vehicle occupants 447 1.0 R450 1.0

Other nonoccupants struck by motor vehiclesc 149 0.34 R141 0.32

Air carriers 12 0.03 92 0.21Waterborne transportation (nonvessel-related) 86 0.20 87 0.20

Heavy rail transit (subway) 84 0.19 80 0.18Air taxi 38 0.09 71 0.16

Grade crossings, not involving motor vehiclesd 57 0.13 64 0.14

Private grade crossings, with motor vehicles 36 0.08 55 0.12

Waterborne transportation (vessel-related) 57 0.13 32 0.07Light rail transit 17 0.04 30 0.07Railroad employees on duty and contractors 38 0.09 25 0.06

Bus occupants (school, intercity, and transit) 59 0.13 22 0.05Gas distribution pipelines 19 0.04 22 0.05Railroad-related, not otherwise specified 10 0.02 20 0.05

Gas transmission pipelines 2 <0.01 15 0.03

Transit buses, fatalities not related to accidentse 12 0.03 8 0.02

Commuter air 12 0.03 5 0.01Passengers on railroad trains 3 <0.01 4 <0.01

Hazardous liquid pipelines 4 <0.01 1 <0.01

Demand response transit, fatalities not related to accidentse 0 - 0 -

Other counts, redundant with abovef

Large-truck occupants and nonoccupants 5,380 NA 5,211 NAPublic grade crossings, with motor vehicles 309 NA 306 NA

Page 146: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Multimodal � 127

Commuter rail 95 NA 87 NATransit buses, accident-related fatalities 90 NA 82 NA

Outside planes in crashesg 5 NA 13 NA

Demand responsive transit, accident-related fatalities 1 NA 8 NA

KEY: NA = not applicable; R = revised.

a Unless otherwise specified, includes fatalities outside the vehicle.b Includes fatalities outside trains, except at grade crossings.c Includes all nonoccupant fatalities, except pedalcyclists and pedestrians.d Public grade-crossing fatalities involving motor vehicles are included in counts for motor vehicles.e Fatalities not related to transit bus and demand responsive transit accidents are not included under highway

submodes.f Fatalities at grade crossings with motor vehicles are included under relevant motor vehicle modes. Com-

muter rail fatalities are counted under railroad. For transit bus and demand responsive transit accidents, occupant fatalities are counted under “bus” and nonoccupant fatalities are counted under “pedestrians,” “pedalcyclists,” or other motor vehicle categories.

g Includes nonoccupant fatalities resulting from aviation accidents.

SOURCES Air data:National Transportation Safety Board, Internet site www.ntsb.gov/aviation as of Oct. 2, 2002, and personal

communication, Nov. 15, 2002.

Highway data:U.S. Department of Transportation, National Highway Traffic Safety Administration, Traffic Safety Facts 2000

(DOT HS 809 337) (Washington, DC : December 2001), table 4 and personal communication Sept. 10, 2002.

Railroad data:U.S. Federal Railroad Administration, Railroad Safety Statistics, Annual Report 2001 (Washington, DC: July

2002), table 1-3.

Transit data:U.S. Department of Transportation, Federal Transit Administration, Safety Management Information Statistics

(Washington, DC: Annual issues).

Waterborne transportation:U.S. Department of Transportation, U.S. Coast Guard, Data Administration Division (G-MRI-1), personal

communication, Dec. 12, 2001.

Recreational boating:Ibid. Office of Boating Safety. Boating Statistics (Washington, DC: Annual issues).

Pipeline data:U.S. Department of Transportation, Research and Special Programs Administration, Office of Pipeline Safety,

and Internet site http://ops.dot.gov as of Oct 2, 2002.

TABLE 2-4: Distribution of Transportation Fatalities by Mode (Continued)

1999 2000

Number Percent Number Percent

Page 147: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

128 � Chapter 2: Transportation SafetyTA

BLE

2-5:

Hig

hway

-Rai

l Gra

de-C

ross

ing

Safe

ty a

nd P

rope

rty D

amag

e Da

ta

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Fata

litie

sa 1

,440

917

833

582

698

579

488

461

431

402

425

419

Inju

red

pers

ons

3,27

23,

860

3,55

02,

687

2,40

71,

894

1,61

01,

540

1,30

31,

396

1,21

91,

155

Acc

iden

tsa 3

,559

12,0

7610

,612

6,91

95,

715

4,63

34,

257

3,86

53,

508

3,48

93,

502

3,23

2

Pro

pert

y da

mag

e ($

mill

ions

)R

ailro

ad v

ehic

les

and

prop

erty

NN

6.5

8.7

13.1

10.1

8.8

15.0

14.4

23.0

14.8

8.2

KE

Y: N

= d

ata

do n

ot e

xist

.

a19

70 d

ata

are

not

com

para

ble

to la

ter

year

s du

e to

cha

nge

in r

epor

ting

sys

tem

.

SOU

RC

ES

Fata

litie

s, in

juri

es, a

ccid

ents

:19

70–8

5: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Rai

lroa

d A

dmin

istr

atio

n, O

ffic

e of

Pol

icy

and

Prog

ram

Dev

elop

men

t,

Rai

l-H

ighw

ay C

ross

ing

Acc

iden

t/In

cide

nt a

nd I

nven

tory

Bul

leti

n (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

les

S an

d 11

.19

90–2

000:

Ibi

d., R

ailr

oad

Safe

ty S

tati

stic

s A

nnua

l Rep

ort

2000

(W

ashi

ngto

n, D

C: 2

001)

, tab

le 1

.1.

2001

: Ibi

d., R

ailr

oad

Safe

ty S

tati

stic

s In

teri

m R

epor

t 20

01 (

Was

hing

ton,

DC

: Jul

y 20

02),

tab

le 1

.1.

Prop

erty

dam

age:

19

70–9

6: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Rai

lroa

d A

dmin

istr

atio

n, O

ffic

e of

Pol

icy

and

Prog

ram

Dev

elop

men

t, A

ccid

ent/

Inci

dent

Bul

leti

n (W

ash-

ingt

on, D

C: A

nnua

l iss

ues)

, tab

le 5

.19

97–2

000:

Ibi

d., R

ailr

oad

Safe

ty S

tati

stic

s A

nnua

l Rep

ort

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

5.6

.20

01: I

bid.

, Rai

lroa

d Sa

fety

Sta

tist

ics

Inte

rim

Rep

ort

2001

(W

ashi

ngto

n, D

C: J

uly

2002

), t

able

1.1

.

Page 148: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Multimodal � 129

TABLE 2-6: Hazardous Materials Fatalities, Injuries, Accidents, and Property Damage Data

1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001

Total fatalities 27 19 8 8 7 120 12 13 R10 R15 7

Accident-related 21 14 7 7 6 7 10 8 R8 R10 6

Air fatalities 0 0 0 0 0 110 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0

Highway fatalities 27 17 8 8 7 8 12 13 R10 R15 7

Accident-related 21 12 7 7 6 5 10 8 R8 R10 6

Rail fatalities 0 2 0 0 0 2 0 0 0 R0 0

Accident-related 0 2 0 0 0 2 0 0 0 0 0

Watera fatalities 0 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0

Otherb fatalities 0 0 0 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0

Total injured persons 648 626 253 423 400 1,175 R221 R195 R263 R248 135

Accident-related 168 47 16 18 18 864 16 R13 R15 16 8

Air injured persons 5 8 4 39 33 33 24 20 12 R5 13

Accident-related 0 0 0 0 0 0 0 0 0 0 0

Highway injured persons 527 493 195 311 296 216 R152 R151 R216 R161 93

Accident-related 156 43 9 9 14 22 11 R9 R15 15 8

Rail injured persons 99 121 53 73 71 926 45 22 35 82 29

Accident-related 12 4 7 9 4 842 5 4 0 1 0

Watera injured persons 2 1 0 0 0 0 0 2 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0

Otherb injured persons 15 3 1 0 0 0 0 0 0 0 0

Accident-related 0 0 0 0 0 0 0 0 0 0 0

Total incidents 10,951 15,719 6,019 8,879 R14,742 R13,952 R14,001 R15,500 R17,657 R17,583 17,557

Accident-related 440 486 364 297 R295 R333 R313 R318 R367 R382 351

Air incidents 147 223 114 297 R813 R918 R1,029 R1,386 R1,583 R1,420 1,077

Accident-related 0 0 0 0 0 0 1 R2 0 1 1

Highway incidents 10,063 14,161 4,752 7,296 12,764 R11,916 R11,864 R13,111 R14,992 R15,093 15,582

Accident-related 330 347 302 249 R245 R290 R259 R265 R303 R319 297

Rail incidents 694 1,271 842 1,279 1,153 1,112 1,103 989 R1,074 R1,053 894

Accident-related 109 134 61 48 50 43 R53 51 R64 62 53

Watera incidents 28 34 7 7 12 6 5 R14 8 R17 4

Accident-related 0 2 0 0 0 0 0 0 0 0 0

Otherb incidents 19 30 304 0 0 0 0 0 0 0 0

Accident-related 1 3 1 0 0 0 0 0 0 0 0

Continued next page

Page 149: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

130 � Chapter 2: Transportation Safety

Total property damage (current $ thousands)c

8,090 10,829 22,993 32,353 30,903 46,849 33,450 R46,259 R63,280 R76,753 61,296

Accident-related 6,051 6,236 20,268 24,792 R23,528 R37,753 25,125 R36,931 R49,697 R60,805 50,040

Air property damage 8.9 12.3 12.3 142 101 87 336 267 286 272 310

Accident-related 0 0 0 0 0 0 0 0 0 42 50

Highway property damage 5,584 7,324 12,690 20,190 22,144 29,257 24,720 R28,614 R32,327 R49,678 39,942

Accident-related 3,694 3,782 10,175 14,132 R16,268 R22,293 17,786 R21,489 R21,129 R36,785 30,097

Rail property damage 2,488 2,952 10,274 11,952 8,485 17,385 8,356 16,364 R30,607 R26,520 21,020

Accident-related 2,357 2,357 10,094 10,660 7,260 15,460 7,339 15,442 R28,568 23,978 19,892

Watera property damage 6.1 505 3.2 70 174 120 38 1,015 61 R283 25

Accident-related 0 81 0 0 0 0 0 0 0 0 0

Otherb property damage 3.5 35 14.4 0 0 0 0 0 0 0 0

Accident-related 0.3 15.6 <0.1 0 0 0 0 0 0 0 0

KEY: R = revised.

a Water category only includes nonbulk marine. Bulk marine hazardous materials incidents are reported to the U.S. Coast Guard and are not included.

b Other category includes freight forwarders and modes not otherwise specified.c Property damage under $30,000 is reported to the nearest $100. Property damage $30,000 or greater is

reported to the nearest $1,000, therefore the total may not equal the sum.

NOTES Hazardous materials transportation incidents required to be reported are defined in the Code of Federal Regula-

tions (CFR), 49 CFR 171.15, 171.16 (Form F 5800.1).Hazardous materials deaths and injuries are caused by the hazardous material in commerce.

SOURCES1975-85: U.S. Department of Transportation, Research and Special Programs Administration, Office of Hazard-

ous Materials Safety, Hazardous Materials Information System Database, 1999. 1990: Ibid. Internet site http://hazmat.dot.gov/10yearfrm.htm, as of May 2, 2000.1995-2001: Ibid. Internet site http://hazmat.dot.gov/files/hazmat/10year/10yearfrm.htm as of Aug. 21, 2002.

TABLE 2-6: Hazardous Materials Fatalities, Injuries, Accidents, and Property Damage Data (Continued)

1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001

Page 150: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Multimodal � 131

TABLE 2-7: Transportation-Related Occupational Fatalitiesa

1992 1993 1994 1995 1996 1997 1998 1999 2000TOTAL occupational fatalities 6,217 6,331 R6,588 R6,210 R6,112 R6,218 R6,026 R6,054 5,915

Transportation-related fatalities

Highwayb 1,158 1,243 R1,336 R1,329 R1,324 R1,387 R1,431 R1,496 1,363

Nonhighwayc 436 392 R407 R388 R369 377 R384 R352 399

Aircraft 353 282 R424 R278 R320 261 R223 R228 280

Worker struck by vehicled 346 365 R383 R385 R349 367 413 377 370

Water vehiclee 109 120 R92 R84 R107 109 112 102 84

Railwayf 65 86 81 82 R75 93 60 56 71

Total transportation-relatedg 2,484 2,501 R2,740 R2,560 R2,556 R2,599 R2,630 R2,618 2,571

Percent of total occupational fatalitiesHighway 19 20 20 21 22 22 24 25 23Nonhighway 7 6 6 6 6 6 6 6 7Aircraft 6 4 6 4 5 4 4 4 5

Worker struck by vehicle 6 6 6 6 6 6 7 6 6Water vehicle 2 2 1 1 2 2 2 2 1Railway 1 1 1 1 1 1 1 1 1

Total transportation-related 40 40 42 41 42 42 44 43 43

KEY: R = revised.

a Based on the 1992 Bureau of Labor Statistics, Occupational Injury and Illness Classification Manual.b Includes collisions between vehicles/mobile equipment moving in the same or opposite directions, such as in

an intersection; between moving and standing vehicles/mobile equipment at the side of a roadway; or a vehi-cle striking a stationary object. Also includes noncollisions, e.g., jack-knifed or overturned vehicle/mobile equipment–no collision; ran off highway–no collision; struck by shifting load; sudden start or stop; not else-where classified.

c Refers to farms and industrial premises. Includes collisions between vehicles/mobile equipment; vehicles/mobile equipment striking a stationary object. Also includes noncollisions such as a fall from a moving vehi-cle/mobile equipment, fall from and struck by vehicle/mobile equipment, overturned vehicle/mobile equip-ment, and loss of control of vehicle/mobile equipment.

d Includes worker struck by vehicle/mobile equipment in roadway, on side of road, in a parking lot, or non-road area.

e Includes collisions, explosions, fires, fall from or on ship/boat, and sinking/capsized water vehicles involved in transportation. Does not include fishing boats.

f Includes collisions between railway vehicles, railway vehicle and other vehicle, railway vehicle and other object, and derailment.

g Numbers may not add to totals because transportation categories may include subcategories not shown separately.

NOTESPercentages may not add to totals due to rounding.The above categories do not define the types of jobs people had, nor the industries in which they worked. The

categories define the ways in which they died. For example, a representative traveling for business reasons who is killed in a rail accident would be listed under rail.

SOURCEU.S. Department of Labor, Bureau of Labor Statistics, News: National Census of Fatal Occupational Injuries,

Internet site www.bls.gov/iif/ as of July 23, 2002. This document is based on the U.S. Department of Labor, Bureau of Labor Statistics, Census of Fatal Occupational Injuries (Washington, DC: Annual issues), table 1.

Page 151: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

132 � Chapter 2: Transportation Safety

TABLE 2-8: Reporting Thresholds for Property Damage by U.S. Department of Transportation Modal Administrations

Modal administration Reporting thresholdFederal Aviation Administration More than $25,000 damage to property other than the aircraft.Federal Highway Administration None; each state defines its own threshold and FHWA collects

state reports.

Federal Railroad Administration More than $6,600 in damages to railroad on-track equipment, sig-nals, track, track structures, and roadbed for accidents other than at grade crossings. No threshold for grade-crossing accidents.

National Highway Traffic Safety Administration None; property-damage-only crashes are recorded through the General Estimates System, a nationally representative sample of police-reported crashes of all severities.

Federal Transit Administration More than $1,000.Research and Special Programs Administration More than $50,000 for gas pipelines.

More than $50,000 for hazardous liquid pipelines.

U. S. Coast Guard More than $25,000 for commercial vessels.More than $2,000 for recreational boats.

SOURCESFederal Aviation Administration:49 CFR 830.5 (as of Oct. 1, 2001).

Federal Highway Administration:U.S. Department of Transportation, Federal Highway Administration, personal communication, 1997.

Federal Railroad Administration:U.S. Department of Transportation, Federal Railroad Administration, Railroad Safety Statistics Annual

Report 2000 (Washington, DC: July 2001).

National Highway Traffic Safety Administration:U.S. Department of Transportation, National Highway Traffic Safety Administration, Traffic Safety Facts

2000, DOT HS 809 337 (Washington, DC: 2001).

Federal Transit Administration:U.S. Department of Transportation, Federal Transit Administration, Safety Management Information Statis-

tics (SAMIS) Annual Report 1999, DOT-FTA-MA-26-5011-00-1 (Washington, DC: 2000).

Research and Special Programs Administration: Gas pipeline: 49 CFR 191.3 (as of Oct. 1, 2001).Oil pipeline: 49 CFR 195.50 (as of Oct. 1, 2001).

U.S. Coast Guard:Commercial shipping: 46 CFR 4.05-1 (as of Oct. 1, 2001).Recreational boating: 33 CFR 173.55 (as of July 2, 2001).

Page 152: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter two

Section BAir

Page 153: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 154: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air � 135

TABL

E 2-

9: U

.S. A

ir Ca

rrie

ra S

afet

y Da

ta 1960

19

65

1970

1975

1980

1985

19

90

1995

19

96

1997

19

98

1999

20

00

2001

b

Tota

l fat

alit

ies

499

261

146

124

152

639

168

380

81

1292

531

Tota

l ser

iou

sly

inju

red

per

son

sN

N10

781

1930

2925

7743

3067

2718

Tota

l acc

iden

ts90

8355

3719

2124

3637

4950

R51

R56

45

Fata

l acc

iden

ts17

98

31

76

35

41

23

6

Air

craf

t-m

iles

(mill

ion

s)1,

130

1,53

62,

685

2,47

82,

924

3,63

14,

948

5,65

45,

873

6,69

76,

737

7,10

27,

521

6,80

9R

ates

per

100

mill

ion

airc

raft-

mile

sFa

talit

ies

44.1

5916

.992

5.43

85.

004

0.03

414

.486

0.78

82.

971

6.47

00.

119

0.01

50.

169

1.22

37.

799

Ser

ious

ly in

jure

d pe

rson

sN

N3.

985

3.26

90.

650

0.82

60.

586

0.44

21.

311

0.64

20.

445

R0.

943

0.35

90.

264

Tota

l acc

iden

ts7.

965

5.40

42.

048

1.49

30.

650

0.57

80.

485

0.63

7R

0.63

00.

732

0.74

2R

0.71

8R

0.74

50.

661

Fata

l acc

iden

ts1.

504

0.58

60.

298

0.12

10.

034

0.19

30.

121

0.05

30.

085

0.06

00.

015

R0.

028

0.04

00.

088

Air

craf

t d

epar

ture

s (t

ho

usa

nd

s)N

NN

N5,

479

6,30

78,

092

8,45

78,

229

10,3

1810

,980

11,3

0911

,437

10,5

10R

ates

per

100

,000

airc

raft

depa

rtur

esFa

talit

ies

NN

NN

0.01

88.

340

0.48

21.

987

4.61

80.

078

0.00

90.

106

0.80

45.

052

Ser

ious

ly in

jure

d pe

rson

sN

NN

N0.

347

0.47

60.

358

0.29

60.

936

0.41

70.

273

R0.

592

0.23

60.

171

Tota

l acc

iden

tsN

NN

N0.

347

0.33

30.

297

0.42

60.

450

0.47

50.

455

R0.

451

R0.

490

0.42

8

Fata

l acc

iden

tsN

NN

N0.

018

0.11

10.

074

0.03

50.

061

R0.

039

R0.

009

R0.

018

R0.

026

0.05

7

Flig

ht

ho

urs

(th

ou

san

ds)

N4,

691

6,47

05,

607

7,06

78,

710

12,1

5013

,505

13,7

4615

,838

16,8

1317

,555

18,2

9516

,731

Rat

es p

er 1

00,0

00 fl

ight

hou

rsFa

talit

ies

N5.

564

2.25

72.

212

0.01

46.

039

0.32

11.

244

2.76

40.

051

0.00

60.

068

0.50

33.

174

Ser

ious

ly in

jure

d pe

rson

sN

N1.

654

1.44

50.

269

0.34

40.

239

0.18

50.

560

0.27

10.

178

0.38

20.

148

0.10

8

Tota

l acc

iden

tsN

1.76

90.

850

0.66

00.

269

0.24

10.

198

0.26

70.

234

0.30

90.

297

0.29

1R

0.30

60.

269

Fata

l acc

iden

tsN

0.19

20.

124

0.05

40.

014

0.08

00.

049

0.02

20.

036

0.02

50.

006

R0.

011

R0.

016

0.03

6

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

.

aA

ir c

arri

ers

oper

atin

g un

der

14 C

FR 1

21, s

ched

uled

and

non

sche

dule

d se

rvic

e. I

nclu

des

all s

ched

uled

and

non

sche

dule

d se

rvic

e ac

cide

nts

invo

lvin

g al

l-ca

rgo

carr

iers

and

com

mer

cial

ope

rato

rs o

f la

rge

airc

raft

whe

n th

ose

acci

dent

s oc

curr

ed d

urin

g 14

CFR

121

ope

rati

ons.

Sin

ce M

ar. 2

0, 1

997,

14

CFR

121

incl

udes

ai

rcra

ft w

ith

10 o

r m

ore

seat

s fo

rmer

ly o

pera

ted

unde

r 14

CFR

135

. Thi

s ch

ange

mak

es it

dif

ficu

lt t

o co

mpa

re p

re-1

997

data

for

14

CFR

121

and

14

CFR

13

5 w

ith

mor

e re

cent

dat

a.

bO

ther

tha

n th

e pe

rson

s ab

oard

the

air

craf

t w

ho w

ere

kille

d, f

atal

itie

s re

sult

ing

from

the

Sep

tem

ber

11 t

erro

rist

act

s ar

e ex

clud

ed.

Con

tinue

d ne

xt p

age

Page 155: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

136 � Chapter 2: Transportation SafetyTA

BLE

2-9:

U.S

. Air

Carr

iera

Saf

ety

Data

(Con

tinue

d)

NO

TE

SM

iles,

dep

artu

res,

and

flig

ht h

ours

are

com

pile

d by

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion.

R

ates

are

com

pute

d by

div

idin

g th

e nu

mbe

r of

fat

alit

ies,

ser

ious

inju

ries

, tot

al a

ccid

ents

, and

fat

al a

ccid

ents

by

the

num

ber

of m

iles,

dep

artu

res,

or

flig

ht h

ours

. T

hese

fig

ures

are

bas

ed o

n in

form

atio

n pr

ovid

ed b

y ai

rlin

es t

o th

e U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n.

SOU

RC

ES

Fata

litie

s, a

ccid

ents

, mile

s, d

epar

ture

s, a

nd f

light

hou

rs:

1960

: Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

, Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata:

U.S

. Air

Car

rier

Ope

rati

ons,

Cal

enda

r Y

ear

1967

(W

ashi

ngto

n, D

C:

Dec

embe

r 19

68).

19

65-7

0: I

bid.

, Cal

enda

r Y

ear

1975

, NT

SB/A

RC

-77/

1 (W

ashi

ngto

n, D

C: J

anua

ry 1

977)

. 19

75 (

all c

ateg

orie

s ex

cept

mile

s): I

bid.

, Cal

enda

r Y

ear

1983

, NT

SB/A

RC

-87/

01 (

Was

hing

ton,

DC

: Feb

ruar

y 19

87),

tab

le 1

8.

1975

(m

iles)

: Ibi

d., C

alen

dar

Yea

r 19

75, N

TSB

/AR

C-7

7/1

(Was

hing

ton,

DC

: Jan

uary

197

7 ).

19

80: I

bid.

, Cal

enda

r Y

ear

1981

, NT

SB/A

RC

-85/

01 (

Was

hing

ton,

DC

: Feb

ruar

y 19

85),

tab

les

2 an

d 16

. 19

85-2

001:

Ibi

d., N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, I

nter

net

site

ww

w.n

tsb.

gov/

avia

tion

/Tab

le5.

htm

as

of J

uly

26, 2

002

and

pers

onal

com

mun

icat

ion,

N

ov. 1

5, 2

002.

Seri

ous

inju

ries

:19

70-8

5: I

bid.

, Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata:

U.S

. Air

Car

rier

Ope

rati

ons

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

1990

-200

1: I

bid.

, Ana

lysi

s an

d D

ata

Div

isio

n, p

erso

nal c

omm

unic

atio

n, J

uly

26, 2

002

and

Nov

. 15,

200

2.

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Air � 137

TABLE 2-10: U.S. Commuter Air Carriera Safety Data

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001Total fatalities 37 37 6 9 14 46 0 12 5 13Total seriously injured persons 14 14 11 17 2 1 2 2 7 4Total accidents 38 18 15 12 11 16 8 13 12 7

Fatal 8 7 3 2 1 5 0 5 1 2

Aircraft-miles (millions) 192 301 450 550 591 246 51 R52 R46 39

Rates per 100 million aircraft-miles

Fatalitiesb 19.27 12.29 1.33 1.64 2.37 18.70 0.00 26.09 R10.86 33.33

Seriously injured persons 7.29 4.65 2.44 3.09 0.34 0.41 3.92 4.35 R15.21 10.26

Total accidentsb,c 19.79 5.98 3.33 2.18 1.86 6.50 15.69 28.26 R26.09 17.97

Fatalb,c 4.17 2.33 0.67 0.36 0.17 2.03 0.00 10.87 R2.17 5.13

Aircraft departures (thousands) 1,777 2,561 3,160 3,220 3,515 1,394 707 R672 611 498

Rates per 100 thousand aircraft departures

Fatalitiesb 2.08 1.44 0.19 0.28 0.40 3.30 0.00 1.79 0.82 2.61

Seriously injured persons 0.79 0.55 0.35 0.53 0.06 0.07 0.28 0.30 1.15 0.80

Total accidentsc 2.14 0.70 0.47 0.37 0.31 1.15 1.13 1.93 1.96 1.41

Fatal 0.45 0.27 0.09 0.06 0.03 0.36 0.00 0.74 0.16 0.40

Flight hours (thousands) 1,176 1,737 2,342 2,628 2,757 983 354 343 374 331Rates per 100 thousand flight hours Fatalities 3.15 2.13 0.26 0.34 0.51 4.68 0.00 3.50 1.34 3.93 Seriously injured persons 1.19 0.81 0.47 0.65 0.07 0.10 0.56 0.58 1.87 1.21

Total accidentsc 3.23 1.04 0.64 0.46 0.40 1.63 2.26 3.79 3.21 2.11

Fatalc 0.68 0.40 0.13 0.08 0.04 0.51 0.00 1.46 0.27 0.60

KEY: R = revised.

a Air carriers operating under 14 CFR 135, scheduled service. Includes accidents involving all-cargo air carri-ers when those accidents occurred during scheduled 14 CFR 135 operations. Before Mar. 20, 1997, 14 CFR 135 applied to aircraft with 30 or fewer seats. Since Mar. 20, 1997, 14 CFR 135 includes only aircraft with fewer than 10 seats. This change makes it difficult to compare pre-1997 data with more recent years’ data.

b Data updated by rounding to two significant digits instead of one. c Rates are based on all accidents, including some that involve operators not reporting mileage or other traffic

data to the U.S. Department of Transportation.

NOTESMiles, departures, and hours are compiled by the U.S. Department of Transportation, Federal Aviation

Administration.Rates are computed by dividing the number of fatalities, serious injuries, total accidents, and fatal accidents by

the number of miles, departures, or flight hours. These figures are based on information provided by airlines to the U.S. Department of Transportation, Bureau of Transportation Statistics, Office of Airline Information.

SOURCESFatalities, accidents, aircraft-miles, aircraft departures, and flight hours:1980: National Transportation Safety Board, Annual Review of Aircraft Accident Data: U.S. Air Carrier Oper-

ations, Calendar Year 1980, NTSB/ARC-83/01 (Washington, DC: January 1983), tables 26 and 40.1985-2001: Ibid., Internet site www.ntsb.gov/aviation/Table 8.htm as of May 8, 2002.

Serious injuries:1980-85: Ibid., Annual Review of Aircraft Accident Data: U.S. Air Carrier Operations (Washington, DC:

Annual issues).1990-2001: Ibid., Analysis and Data Division, personal communications, July 26, 2002.

Page 157: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

138 � Chapter 2: Transportation Safety

TABLE 2-11: U.S. Air Carriera Fatal Accidents by First Phase of Operationb

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 P2001Total fatal accidents 6 4 4 1 4 3 5 4 1 2 3 6

Phase of operationApproach/descent/landing 1 2 1 0 2 2 0 0 0 1 R0 0

Taxi/takeoff/climb 3 1 2 0 1 0 3 2 0 0 R1 2

Cruise (in-flight) 1 0 0 0 0 0 1 1 0 0 1 0Standing (static) 1 1 1 1 0 0 0 1 1 1 1 0

Maneuvering 0 0 0 0 1 0 0 0 0 0 0 0Other/not reported 0 0 0 0 0 1 1 0 0 0 0 c4

KEY: P = preliminary.

a 14 CFR 121. Before Mar. 20, 1997, 14 CFR 121 applied only to aircraft with more than 30 seats or a max-imum payload capacity of more than 7,500 pounds. Since Mar. 20, 1997, 14 CFR 121 includes aircraft with 10 or more seats that formerly operated under 14 CFR 135. This change makes it difficult to compare pre-1997 data with more recent data.

b First phase of operation is the phase of flight in which the first occurrence leading to the accident happened.c Other/not reported numbers for 2001 are unusually high because of the incidents occurring on September 11.

SOURCES1990-95: National Transportation Safety Board, Annual Review of Aircraft Accident Data: U.S. Air Carrier

Operations (Washington, DC: Annual issues), table 18. 1996-2001: Ibid., personal communication, Aug. 21, 2002 and Nov. 15, 2002.

Page 158: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air � 139

TABLE 2-12: U.S. Commuter Air Carriera Fatal Accidents by First Phase of Operation

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 P2001Total fatal accidents 3 8 7 4 3 2 1 5 0 5 1 2

Phase of operation Approach/descent/landing 0 3 5 1 2 0 1 2 0 0 1 0

Taxi/takeoff/climb 0 0 1 1 0 1 0 1 0 2 0 2Cruise (in-flight) 2 2 1 1 1 0 0 0 0 3 0 0Standing (static) 0 1 0 1 0 0 0 0 0 0 0 0

Maneuveringb 1 1 0 0 0 1 0 2 0 0 0 0

Other/not reported 0 1 0 0 0 0 0 0 0 0 0 0

KEY: P = preliminary.

a 14 CFR 135, scheduled operations. Before Mar. 20, 1997, 14 CFR applied to aircraft with 30 or fewer seats. Since Mar. 20, 1997, 14 CFR 135 includes only aircraft with fewer than 10 seats. This change makes it dif-ficult to compare pre-1997 data with more recent years’ data.

b Includes instructional flights performing turns and agricultural flights for spraying and buzzing (repeated passes over a particular location).

SOURCES1990-96: National Transportation Safety Board, Annual Review of Aircraft Accident Data: U.S. Air Carrier

Operations (Washington, DC: Annual issues), table 36.1997-2001: Ibid., personal communication, Aug. 21, 2002.

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140 � Chapter 2: Transportation Safety

TABLE 2-13: U.S. On-Demand Air Taxia Safety Data

1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001Total fatalities 69 105 76 51 52 63 39 45 38 71 60Total seriously injured persons N 43 R44 36 14 22 23 10 14 12 24

Total accidents 152 171 157 107 75 90 82 77 73 R80 72

Fatal 24 46 35 29 24 29 15 17 12 22 18Flight hours (thousands) 2,526 3,618 2,570 2,249 2,486 3,220 3,098 3,802 3,298 3,553 3,400

Rates per 100,000 flight hoursb

Fatalities 2.73 2.90 2.96 2.27 2.09 1.96 1.26 1.18 1.15 2.00 1.76Seriously injured persons N 1.19 R1.71 1.60 0.56 0.68 0.74 0.26 0.42 0.34 0.71

Total accidents 6.02 4.73 6.11 4.76 3.02 2.80 2.65 2.03 2.21 R2.25 2.12

Fatal 0.95 1.27 1.36 1.29 0.97 0.90 0.48 0.45 0.36 0.62 0.53

KEY: N = data do not exist; R = revised.

a Air carriers operating under 14 CFR 135, nonscheduled service. Accidents on foreign soil and in foreign waters are excluded.

b Rates are computed by dividing the number of fatalities, serious injuries, total accidents, and fatal accidents by the number of flight hours.

NOTEHours are estimated by the U.S. Department of Transportation, Federal Aviation Administration.

SOURCESFatalities and accidents:1975-80: National Transportation Safety Board, Annual Review of Aircraft Accident Data: U.S. Air Carrier

Operations, Calendar Year 1981, NTSB/ARC-85/01 (Washington, DC: February 1985), table 61.1985: Ibid., Internet site www.ntsb.gov/aviation/Table9.htm as of July 26, 2002.1990-2001: Ibid., Analysis and Data Division, personal communications, July 29, 2002.

Flight hours:1975-80: National Transportation Safety Board, Annual Review of Aircraft Accident Data: U.S. Air Carrier

Operations, Calendar Year 1981, NTSB/ARC-85/01 (Washington, DC: February 1985), table 61.1985-2002: Ibid., Internet site www.ntsb.gov/aviation/Table9.htm as of July 26, 2002.

Serious injuries:1980-85: Ibid., Annual Review of Aircraft Accident Data: U.S. Air Carrier Operations (Washington, DC:

Annual issues).1990-2001: Ibid., Analysis and Data Division, personal communications, July 29, 2002 and Nov. 15, 2002.

Page 160: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air � 141

TABL

E 2-

14: U

.S. G

ener

al A

viat

iona

Saf

ety

Data

1960

d19

65d

1970

d19

7519

8019

8519

9019

9519

9619

9719

9819

9920

0020

01To

tal f

atal

itie

s78

71,

029

1,31

01,

252

1,23

995

676

773

563

663

162

461

9R

593

563

Tota

l ser

iou

sly

inju

red

per

son

sN

N71

576

968

150

140

939

636

535

032

732

2R

311

320

Tota

l acc

iden

tsb

4,79

35,

196

4,71

23,

995

3,59

02,

739

2,24

12,

056

1,90

81,

845

1,90

41,

906

R1,

835

1,72

3

Fata

l42

953

864

163

361

849

844

341

336

135

036

434

0R

342

325

Flig

ht

ho

urs

(th

ou

san

ds)

13,1

2116

,733

26,0

3028

,799

36,4

0228

,322

28,5

1024

,906

24,8

8125

,591

25,5

1829

,713

P29

,057

P26

,220

Rat

es p

er 1

00,0

00 f

ligh

t h

ou

rsc

Fata

litie

s6.

006.

155.

034.

353.

403.

382.

692.

952.

562.

472.

452.

082.

042.

15S

erio

usly

inju

red

pers

ons

NN

2.75

2.67

1.87

1.77

1.43

1.59

1.47

1.37

1.28

1.08

1.07

1.22

Tota

l acc

iden

ts36

.53

31.0

518

.10

13.8

79.

869.

667.

868.

267.

677.

217.

466.

416.

326.

57

Fata

l3.

273.

222.

462.

201.

701.

751.

551.

661.

451.

371.

431.

141.

181.

24

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

.

aU

.S. r

egis

tere

d ci

vil a

ircr

aft

not

oper

ated

und

er 1

4 C

FR 1

21 o

r 14

CFR

135

. Acc

iden

ts o

n fo

reig

n so

il an

d in

for

eign

wat

ers

are

excl

uded

. Sui

cide

/sab

otag

e ca

ses

incl

uded

in a

ccid

ents

and

fat

alit

ies

but

excl

uded

fro

m a

ccid

ent

rate

s in

thi

s ta

ble

are:

198

5 (3

acc

iden

ts, 2

fat

al a

ccid

ents

); 1

990

(1,0

); 1

995

(4,3

).

bSi

nce

Apr

il 19

95, t

he N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd h

as b

een

requ

ired

by

law

to

inve

stig

ate

all p

ublic

-use

acc

iden

ts, i

ncre

asin

g th

e nu

mbe

r of

NT

SB

repo

rted

gen

eral

avi

atio

n ac

cide

nts

by a

ppro

xim

atel

y 1.

75%

.c

Rat

es a

re c

ompu

ted

by d

ivid

ing

the

num

ber

of f

atal

itie

s, s

erio

us in

juri

es, t

otal

acc

iden

ts, a

nd f

atal

acc

iden

ts b

y th

e nu

mbe

r of

flig

ht h

ours

. d

Dat

a fo

r 19

60, 1

965,

and

197

0 in

clud

e ai

r ta

xi.

NO

TE

Flig

ht h

ours

are

est

imat

ed b

y th

e U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Avi

atio

n A

dmin

istr

atio

n.

SOU

RC

ES

Fata

litie

s an

d ac

cide

nts:

1960

-70:

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

, Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata:

U.S

. Gen

eral

Avi

atio

n, C

alen

dar

Yea

r 19

70, N

TSB

/AR

G-7

4/1

(Was

hing

ton,

DC

: Apr

il 19

74),

tab

le 1

17.

1975

-80:

Ibi

d., A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: G

ener

al A

viat

ion,

Cal

enda

r Y

ear

1985

, NT

SB/A

RG

-87/

03 (

Was

hing

ton,

DC

: Oct

ober

198

7),

tabl

e 21

. 19

85: I

bid.

, Int

erne

t si

te w

ww

.nts

b.go

v/av

iati

on/T

able

10.h

tm a

s of

Jul

y 29

, 200

2.19

90-2

001:

Ibi

d., A

naly

sis

and

Dat

a D

ivis

ion,

per

sona

l com

mun

icat

ions

, Jul

y 29

, 200

2 an

d N

ov. 1

5, 2

002.

Flig

ht h

ours

:19

90-2

001:

Ibi

d., I

nter

net

site

ww

w.n

tsb.

gov/

avia

tion

/Tab

le10

.htm

as

of J

uly

29, 2

002

and

Nov

. 15,

200

2.

Seri

ous

inju

ries

:19

70-8

5: N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a: G

ener

al A

viat

ion

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

1990

-200

1: I

bid.

, Ana

lysi

s an

d D

ata

Div

isio

n, p

erso

nal c

omm

unic

atio

ns, J

uly

29, 2

002

and

Nov

. 15,

200

2.

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142 � Chapter 2: Transportation Safety

TABLE 2-15: Number of Pilot-Reported Near Midair Collisions (NMAC) by Degree of Hazard

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001

Total NMAC 568 758 454 238 194 238 211 R257 R239 211

Degree of hazard, totals

Criticala 118 180 74 32 26 31 22 28 R30 37

Potentialb 319 423 266 139 101 105 100 R110 R130 93

No hazardc 122 133 114 63 55 70 53 55 R49 50

Unclassifiedd 9 22 0 4 12 32 36 64 R30 31

NMAC involving aircraft operatingunder 14 CFR 121e U U 121 43 50 81 64 63 R69 48

KEY: R = revised; U = data are not available.

a A situation where collision avoidance was due to chance, rather than an act on the part of the pilot. Less than 100 feet of aircraft separation would be considered critical.

b An incident that would probably have resulted in a collision if no action had been taken by either pilot. Less than 500 feet would usually be required in this case.

c When direction and altitude would have made a midair collision improbable, regardless of evasive action taken.

d No determination could be made due to insufficient evidence or unusual circumstances, or because incident is still under investigation.

e Before Mar. 20, 1997, 14 CFR 121 applied only to aircraft with more than 30 seats or a maximum payload capacity of more than 7,500 pounds. Since Mar. 20, 1997, 14 CFR 121 includes aircraft with 10 or more seats that formerly operated under 14 CFR 125. This change makes it difficult to compare pre-1997 data with more recent years’ data.

NOTEIncludes air carriers, general aviation, military, and other aircraft involved in public-use operations.

SOURCESU.S. Department of Transportation, Federal Aviation Administration, Aviation Safety Statistical Handbook

Annual Report (Washington, DC: Annual issues) and personal communication, Aug. 6, 2002. NMAC involving 121 aircraft: Ibid. Air Traffic Resource Management, personal communications, Aug. 6,

2002.

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Air � 143

TABLE 2-16: Airlinea Passenger Screening Results by Type of Weapons Detected, Persons Arrested, and Bomb Threats Received

1980 1985 1990 1995 1996 1997 1998 1999 2000Persons screened (millions) 585 993 1,145 1,263 1,497 1,660 1,667 1,767 1,812

Type of weapon detectedFirearmsHandguns 1,878 2,823 2,490 2,230 1,999 1,905 1,401 1,421 1,643Long guns 36 90 59 160 156 162 114 131 294

Total 1,914 2,913 2,549 2,390 2,155 2,067 1,515 1,552 1,937

Other / other dangerous articlesb 108 74 304 N N N N N N

Explosive / incendiary devices 8 12 15 N N N N N N

Persons arrestedCarrying firearms / explosives 1,031 1,310 1,336 1,194 999 924 660 633 600Giving false information 32 42 18 68 131 72 86 58 61

Bomb threats receivedAgainst airports 1,179 477 448 346 N N N N NAgainst aircraft 268 153 338 327 N N N N N

KEY: N = data do not exist.

a Includes operators with a U.S. Department of Transportation, Federal Aviation Administration operating certificate engaged in scheduled passenger or public charter passenger operations and airports at which these operations are conducted.

b In 1980 and 1985, the “other category was included with firearms; in 1990, “other” became “other danger-ous articles.”

NOTES Beginning in 1996, the Office of Civil Aviation Security Policy and Planning stopped keeping records of bomb

threats received due to inconsistent reporting. The reporting of other / other dangerous articles was discontin-ued in 1992 and reporting of explosive / incendiary devices was discontinued in 1994 for the same reasons.

SOURCESPersons screened, type of weapon detected, and persons arrested:1980-85: U.S. Department of Transportation, Federal Aviation Administration, Semiannual Report to Congress

on the Effectiveness of the Civil Aviation Security Program, July 1-December 31, 1985 (Washington, DC: May 1986).

1990-2000: Ibid. Office of Civil Aviation Security Policy and Planning, Annual Report to Congress on Civil Avi-ation Security (Washington, DC: Annual issues), and personal communications, May 27, 1999, Mar. 29, 2000, and Aug. 7, 2001.

Bomb threats received:U.S. Department of Transportation, Federal Aviation Administration, Criminal Acts Against Civil Aviation

(Washington, DC: Annual issues).

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chapter two

Section CHighway

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Page 166: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Highway � 147

TABL

E 2-

17: M

otor

Veh

icle

Saf

ety

Data

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Fata

litie

s36

,399

47,0

8952

,627

44,5

2551

,091

43,8

2544

,599

41,8

1742

,065

42,0

1341

,501

41,7

17R

41,9

4542

,116

Inju

red

per

son

sEN

NN

NN

N3,

230,

666

3,46

5,27

93,

483,

319

3,34

7,61

43,

192,

035

3,23

6,23

83,

188,

750

3,03

2,67

2

Cra

shes

EN

NN

NN

N6,

471,

202

6,69

9,41

56,

769,

583

6,62

4,14

96,

334,

573

6,27

9,03

66,

393,

624

6,32

2,89

6

Veh

icle

-mile

s (m

illio

ns)

718,

763

887,

811

1,10

9,72

41,

327,

664

1,52

7,29

51,

774,

827

2,14

4,36

22,

422,

696

2,48

5,84

82,

561,

695

2,63

1,52

22,

691,

056

2,74

9,80

3U

Rat

es p

er 1

00 m

illio

n v

ehic

le-m

iles

Fata

litie

s5.

15.

34.

73.

43.

32.

52.

11.

71.

71.

61.

61.

61.

5U

Inju

red

pers

onsE

NN

NN

NN

151

143

140

131

121

120

116

U

Cra

shes

EN

NN

NN

N30

227

727

225

924

123

323

3U

KE

Y: E

= e

stim

ated

; N =

dat

a do

not

exi

st; R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

SOU

RC

ES

Fata

litie

s:19

60-7

0: E

stim

ated

by

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n fr

om d

ata

supp

lied

by U

.S. D

epar

tmen

t of

Hea

lth

and

Hum

an S

ervi

ces,

Nat

iona

l Cen

ter

for

Hea

lth

Stat

isti

cs, a

nd in

divi

dual

sta

te a

ccid

ent

repo

rts

(adj

uste

d to

30-

day

deat

hs).

Fat

alit

ies

data

pri

or t

o 19

75

have

bee

n ad

just

ed t

o re

flec

t th

e Fa

talit

y A

naly

sis

Rep

orti

ng S

yste

m’s

def

init

ion

of a

fat

al c

rash

as

one

that

invo

lves

a m

otor

veh

icle

on

a tr

affi

cway

, whi

ch

resu

lts

in t

he d

eath

of

a ve

hicl

e oc

cupa

nt o

r a

nonm

otor

ist

wit

hin

30 d

ays

of t

he c

rash

.19

75-2

001:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, N

atio

nal C

ente

r fo

r St

atis

tics

and

Ana

lysi

s, T

raff

ic S

afet

y Fa

cts

2000

, DO

T H

S 80

9 33

7 (W

ashi

ngto

n, D

C: D

ecem

ber

2001

), t

able

2 a

nd p

erso

nal c

omm

unic

atio

n, S

ept.

10,

200

2.

Inju

red

pers

ons:

1990

-200

1: I

bid.

, Tra

ffic

Saf

ety

Fact

s 20

00, D

OT

HS

809

337

(Was

hing

ton,

DC

: Dec

embe

r 20

01),

tab

le 2

and

per

sona

l com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Cra

shes

:19

90-2

001:

Ibi

d., T

raff

ic S

afet

y Fa

cts

2000

, DO

T H

S 80

9 33

7 (W

ashi

ngto

n, D

C: D

ecem

ber

2001

), t

able

1 a

nd p

erso

nal c

omm

unic

atio

n, S

ept.

10,

200

2.

Veh

icle

-mile

s:19

60-6

5: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C:

July

199

7), t

able

VM

-201

A.

1975

-200

1: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Tra

ffic

Saf

ety

Fact

s 20

00, D

OT

HS

809

337

(Was

hing

ton,

DC

: Dec

embe

r 20

01),

tab

le 2

and

per

sona

l com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Fata

lity

and

inju

ry r

ates

:19

60-6

5: C

alcu

late

d by

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs.

1970

-200

1: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Tra

ffic

Saf

ety

Fact

s 20

00, D

OT

HS

809

337

(Was

hing

ton,

DC

: Dec

embe

r 20

01),

tab

le 2

and

per

sona

l com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Cra

sh r

ates

: C

alcu

late

d by

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs.

Page 167: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

148 � Chapter 2: Transportation Safety

TABLE 2-18: Motor Vehicle Fatalities, Vehicle-Miles, and Associated Rates by Highway Functional System

1980 1985 1990 1995 1996 1997 1998 1999 2000FatalitiesRural, total 29,545 24,492 25,786 23,978 24,510 24,811 24,751 25,185 23,640Interstate 2,263 2,141 2,707 2,675 2,905 3,040 3,105 3,244 3,199Other arterial 12,268 9,940 9,893 9,947 9,458 9,678 9,594 9,573 8,913Collector 10,004 8,209 8,852 7,401 7,481 7,643 7,593 7,595 7,147Local 5,010 4,202 4,334 3,955 4,666 4,450 4,459 4,773 4,381

Urban, total 21,546 19,333 18,813 17,839 17,555 16,758 16,143 15,970 15,695Interstate 2,184 2,025 2,252 2,154 2,323 2,292 2,283 2,353 2,388Other arterial 12,752 12,521 11,742 10,916 10,756 10,239 9,902 9,628 9,442Collector 2,226 1,696 1,427 1,441 1,290 1,163 1,037 1,031 987Local 4,384 3,091 3,392 3,328 3,186 3,064 2,921 2,958 2,878

Vehicle-miles of travel (VMT) (millions)Rural, total 672,030 730,728 868,878 933,289 960,194 1,001,350 1,033,457 1,062,623 1,084,961Interstate 135,084 154,357 200,173 223,382 232,565 240,255 251,520 260,166 268,960Other arterial 262,774 282,803 330,866 368,595 378,847 392,058 403,484 413,320 420,569Collector 189,468 206,669 240,460 236,148 241,030 254,364 257,858 264,453 267,521Local 84,704 86,899 97,379 105,164 107,752 114,673 120,595 124,684 127,911

Urban, total 855,265 1,044,098 1,275,484 1,489,534 1,523,886 1,560,345 1,598,065 1,626,618 1,664,842Interstate 161,242 216,188 278,901 341,528 351,579 361,401 374,622 382,259 393,580Other arterial 484,189 578,270 699,233 815,170 834,623 846,659 862,994 878,153 900,161Collector 83,043 89,578 106,297 126,929 129,310 130,143 131,919 131,603 135,371Local 126,791 160,062 191,053 205,907 208,374 222,142 228,530 234,603 235,730

Fatality rates per 100 million vehicle milesRural, total 4.40% 3.35% 2.97% 2.57% 2.55% 2.48% 2.39% 2.37% 2.18%Interstate 1.68% 1.39% 1.35% 1.20% 1.25% 1.27% 1.23% 1.25% 1.19%Other arterial 4.67% 3.51% 2.99% 2.70% 2.50% 2.47% 2.38% 2.32% 2.12%Collector 5.28% 3.97% 3.68% 3.13% 3.10% 3.00% 2.94% 2.87% 2.67%Local 5.91% 4.84% 4.45% 3.76% 4.33% 3.88% 3.70% 3.83% 3.43%

Urban, total 2.52% 1.85% 1.47% 1.20% 1.15% 1.07% 1.01% 0.98% 0.94%Interstate 1.35% 0.94% 0.81% 0.63% 0.66% 0.63% 0.61% 0.62% 0.61%Other arterial 2.63% 2.17% 1.68% 1.34% 1.29% 1.21% 1.15% 1.10% 1.05%Collector 2.68% 1.89% 1.34% 1.14% 1.00% 0.89% 0.79% 0.78% 0.73%Local 3.46% 1.93% 1.78% 1.62% 1.53% 1.38% 1.28% 1.26% 1.22%

NOTES:Includes the 50 states and the District of Columbia. Fatality figures reflect original figures received by FHWA from NHTSA, and, when totaled, differ slightly

from the revised NHTSA figures that appear in other tables in this volume.

SOURCES:Fatalities:1980-95: U.S. Department of Transportation, Federal Highway Administration, Highway Statistics Summary

to 1995, Internet site www.fhwa.dot.gov/ohim/ohimstat.htm as of Oct. 25, 2000. 1996-97: Ibid., Highway Statistics, Internet site www.fhwa.dot.gov/ohim/ohimstat.htm as of Oct. 25, 2000,

table FI-1.1998: Ibid., table FI-20.1999: Ibid., personal communication, June 5, 2002.2000: Ibid., Internet site http://fhwa.dot.gov/ohim/hs00/re.htm as of October 2001, table FI-20.

Vehicle miles:1980-90: U.S. Department of Transportation, Federal Highway Administration, Highway Statistics Summary

to 1995, FHWA-PL-97-009 (Washington, DC: July 1997), table VM-202.1995-98: Ibid., Highway Statistics, Internet site www.fhwa.dot.gov/ohim/ohimstat.htm as of Oct. 25, 2000,

tables VM-2 and VM-2a.1999: Ibid., personal communication, June 5, 2002.2000: Ibid., Internet site http://fhwa.dot.gov/ohim/hs00/re.htm as of Oct. 2001, table VM-2.

Fatality rates:Calculated by the U.S. Department of Transportation, Bureau of Transportation Statistics.

Page 168: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Highway � 149

TABL

E 2-

19: O

ccup

ant F

atal

ities

by

Vehi

cle

Type

and

Non

occu

pant

Fat

aliti

es

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

TOTA

L t

raff

ic f

atal

itie

s44

,525

51,0

9143

,825

44,5

9941

,817

d42

,065

42,0

1341

,501

41,7

17R

41,9

4542

,116

Occ

upan

t fat

aliti

es (b

y ve

hicl

e ty

pe)

35,9

2541

,927

36,0

4337

,134

35,2

9135

,695

35,7

2535

,382

35,8

75R

36,3

4836

,386

Pas

sen

ger

car

, to

tal

25,9

2927

,449

23,2

1224

,092

22,4

2322

,505

22,1

9921

,194

20,8

62R

20,6

9920

,233

Sub

com

pact

a3,

834

7,29

97,

993

8,30

96,

791

6,61

86,

220

5,51

44,

887

R4,

773

4,41

7

Com

pact

614

927

2,63

55,

310

6,89

97,

288

7,19

56,

804

6,94

2R

7,02

26,

718

Inte

rmed

iate

1,86

93,

878

4,39

14,

849

4,66

64,

670

4,79

44,

617

4,72

1R

5,20

45,

401

Ful

lb10

,800

11,5

806,

586

4,63

53,

413

3,41

73,

481

3,10

62,

887

R3,

184

3,16

8

Unk

now

n8,

812

3,76

51,

607

989

654

512

509

1,15

31,

425

R51

652

9

Tru

ckc ,

to

tal

5,81

78,

748

7,66

69,

306

10,2

1610

,553

10,9

7211

,447

12,0

24R

12,2

8012

,381

Ligh

t4,

856

7,48

66,

689

8,60

19,

568

9,93

210

,249

10,7

0511

,265

R11

,526

11,6

77

Larg

e96

11,

262

977

705

648

621

723

742

759

R75

470

4

Oth

er v

ehic

les,

to

tal

4,17

95,

730

5,16

53,

736

2,65

22,

637

2,55

42,

741

2,98

9R

3,36

93,

772

Mot

orcy

cle

3,18

95,

144

4,56

43,

244

2,22

72,

161

2,11

62,

294

2,48

3R

2,89

73,

181

Bus

5346

5732

3321

1838

5922

34O

ther

/ un

know

n ve

hicl

e ty

pe93

754

054

446

039

245

542

040

944

7R

450

557

No

no

ccu

pan

t fa

talit

ies,

to

tal

8,60

09,

164

7,78

27,

465

6,52

66,

368

6,28

86,

119

5,84

2R

5,59

75,

730

Ped

estr

ian

7,51

68,

070

6,80

86,

482

5,58

45,

449

5,32

15,

228

4,93

9R

4,76

34,

882

Ped

alcy

clis

t1,

003

965

890

859

833

765

814

760

754

R69

372

8

Oth

er81

129

8412

410

915

415

313

114

9R

141

120

KE

Y: R

= r

evis

ed.

aIn

clud

es m

inic

ompa

ct c

ars

(whe

elba

se u

nder

95

inch

es)

and

subc

ompa

ct c

ars

(whe

elba

se b

etw

een

95 a

nd 9

9 in

ches

).b

Incl

udes

car

s w

ith

a w

heel

base

of

110

inch

es o

r gr

eate

r.c

See

tabl

e 2-

23 f

or d

efin

itio

ns o

f lig

ht a

nd la

rge

truc

ks.

dIn

clud

es t

wo

fata

litie

s th

at c

ould

not

be

assi

gned

to

a ca

tego

ry a

bove

.

SOU

RC

ES

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, N

atio

nal C

ente

r fo

r St

atis

tics

and

Ana

lysi

s, T

raff

ic S

afet

y Fa

cts

2000

, D

OT

HS

809

337

(Was

hing

ton,

DC

: Dec

embe

r 20

01),

tab

le 1

3 an

d pe

rson

al c

omm

unic

atio

n, S

ept.

10,

200

2.

Bre

akou

t of

pas

seng

er c

ar t

ypes

:U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Fat

alit

y A

naly

sis

Rep

orti

ng S

yste

m D

atab

ase,

200

2.

Page 169: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

150 � Chapter 2: Transportation SafetyTA

BLE

2-20

: Occ

upan

t and

Non

mot

oris

t Fat

aliti

es in

Cra

shes

by

Num

ber o

f Veh

icle

s an

d Al

coho

l Inv

olve

men

t (AI

)

1985

19

90

1995

1996

1997

Fata

l R

AI

Fata

l R

AI

Fat

al R

AI

Fata

l R

AI

Fat

alA

I TO

TAL

fat

alit

ies

43,8

2523

,167

44,5

9922

,587

41,8

1717

,732

42,0

6517

,749

42,0

13R

16,7

11P

erce

nt o

f tot

al fa

talit

ies

5351

4242

R40

Mo

tori

st f

atal

itie

s, t

ota

l36

,043

19,2

7137

,134

18,9

5335

,291

14,7

9635

,695

14,8

3035

,725

R14

,051

Sin

gle-

vehi

cle

cras

hes

17,1

3010

,882

18,1

5911

,162

16,7

328,

868

16,7

238,

781

16,5

29R

8,24

4

Two-

vehi

cle

cras

hes

16,4

677,

296

16,2

626,

676

15,7

445,

017

15,9

355,

084

16,2

18R

4,90

4

Mor

e th

an tw

o-ve

hicl

e cr

ashe

s2,

446

1,09

32,

713

1,11

52,

815

911

3,03

796

52,

978

R90

4

No

nm

oto

rist

fat

alit

ies,

to

tal

7,78

23,

896

7,46

53,

634

6,52

62,

936

6,36

82,

919

6,28

8R

2,66

0P

edes

tria

ns6,

808

3,57

46,

482

3,26

45,

584

2,60

75,

449

2,59

35,

321

R2,

350

Sin

gle-

vehi

cle

cras

hes

6,34

23,

278

5,99

02,

966

R5,

110

2,36

45,

024

2,35

84,

876

R2,

112

Mul

tiple

-veh

icle

cra

shes

466

297

492

298

474

243

425

235

445

R23

9P

edal

cycl

ists

890

283

859

314

833

290

765

265

814

R25

2S

ingl

e-ve

hicl

e cr

ashe

s86

427

183

230

180

727

973

925

378

8R

244

Mul

tiple

-veh

icle

cra

shes

2613

2714

2611

2612

268

Oth

ers

/ unk

now

n84

3812

457

109

3915

461

153

R58

KE

Y: A

I = A

lcoh

ol in

volv

emen

t; Fa

tal =

fata

litie

s; R

= r

evis

ed.

NO

TE

SA

lcoh

ol in

volv

emen

t pe

rtai

ns t

o an

y dr

iver

, ped

estr

ian,

or

peda

lcyc

list

invo

lved

in t

he a

ccid

ent.

Alc

ohol

res

ults

are

det

erm

ined

fro

m p

osit

ive

bloo

d al

coho

l con

-ce

ntra

tion

tes

ts a

nd p

olic

e-re

port

ed a

lcoh

ol in

volv

emen

t an

d ar

e ad

just

ed b

y th

e U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion.

In 2

001,

NH

TSA

ado

pted

a n

ew m

etho

d to

est

imat

e m

issi

ng b

lood

alc

ohol

con

cent

rati

on (

BA

C)

test

res

ult

data

. Thi

s ne

w m

etho

d, m

ulti

ple

impu

tati

on, i

s be

ing

used

by

NH

TSA

’s N

atio

nal C

ente

r fo

r St

atis

tics

and

Ana

lysi

s (N

CSA

) to

impr

ove

the

scop

e of

alc

ohol

invo

lvem

ent

stat

isti

cs b

y th

e Fa

talit

y A

naly

sis

Rep

orti

ng S

yste

m (

FAR

S). A

s a

resu

lt o

f th

e m

etho

dolo

gy c

hang

e, a

lcoh

ol in

volv

emen

t fa

talit

ies

have

und

ergo

ne a

com

plet

e re

visi

on.

Alc

ohol

invo

lvem

ent

num

bers

may

not

equ

al t

otal

s du

e to

rou

ndin

g.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Fat

alit

y A

naly

sis

Rep

orti

ng

Syst

em (

FAR

S) D

atab

ase,

per

sona

l com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Page 170: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Highway � 151

TABL

E 2-

21: P

asse

nger

Car

Occ

upan

t Saf

ety

Data

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Fata

litie

s25

,929

27,4

4923

,212

24,0

9222

,423

22,5

0522

,199

21,1

9420

,862

R20

,699

20,2

33

Inju

red

per

son

sEN

NN

2,37

6,43

92,

469,

358

2,45

8,08

02,

340,

612

2,20

1,37

52,

137,

503

2,05

1,60

91,

926,

625

Cra

shes

EN

NN

5,56

0,59

25,

593,

685

5,59

8,69

95,

423,

286

5,14

6,12

44,

915,

734

4,92

6,24

34,

831,

727

Veh

icle

-mile

s (m

illio

ns)

1,03

0,37

61,

107,

056

1,24

8,98

11,

427,

178

1,47

8,35

21,

499,

139

1,52

8,39

91,

555,

901

1,56

6,80

81,

582,

113

UR

ates

per

100

mill

ion

veh

icle

-mile

sFa

talit

ies

2.5

2.5

1.9

1.7

1.5

1.5

1.5

1.4

1.3

1.3

U

Inju

red

pers

onsE

NN

NR

166

167

164

153

141

136

130

U

Cra

shes

EN

NN

390

378

373

355

331

314

311

U

KE

Y: E

= e

stim

ated

; N =

dat

a do

not

exi

st; R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

NO

TE

ST

he in

jury

and

cra

sh d

ata

in t

his

tabl

e ar

e fr

om t

he U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion

(USD

OT

), N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n’s

(NH

TSA

) G

ener

al E

stim

ates

Sys

tem

(G

ES)

. The

dat

a fr

om G

ES,

whi

ch b

egan

ope

rati

on in

198

8, a

re o

btai

ned

from

a n

atio

nally

rep

rese

ntat

ive

prob

abili

ty s

ampl

e se

lect

ed f

rom

all

polic

e-re

port

ed c

rash

es. T

he G

ES

sam

ple

incl

udes

onl

y cr

ashe

s w

here

a p

olic

e ac

cide

nt r

epor

t w

as c

ompl

eted

and

the

cra

sh r

esul

ted

in

prop

erty

dam

age,

inju

ry, o

r de

ath.

The

res

ulti

ng f

igur

es d

o no

t ta

ke in

to a

ccou

nt c

rash

es t

hat

wer

e no

t re

port

ed t

o th

e po

lice

or t

hat

did

not

resu

lt in

pro

p-er

ty d

amag

e. T

he 1

993

Nat

iona

l Tra

nspo

rtat

ion

Stat

isti

cs (

NT

S) H

isto

rica

l Com

pend

ium

and

ear

lier

edit

ions

illu

stra

ted

cras

hes

and

inju

ry f

igur

es e

sti-

mat

ed b

y th

e N

atio

nal S

afet

y C

ounc

il, w

hich

use

d a

diff

eren

t se

t of

met

hods

to

arri

ve a

t it

s fi

gure

s. T

hus,

the

inju

ry a

nd c

rash

fig

ures

in t

his

edit

ion

of N

TS

may

not

be

com

para

ble

wit

h th

ose

foun

d in

the

Com

pend

ium

and

ear

lier

edit

ions

.U

SDO

T, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs r

ound

ed v

ehic

le-m

iles

to t

he n

eare

st b

illio

n.

Veh

icle

-mile

s in

thi

s ta

ble

and

in t

able

2-2

3 ar

e ta

ken

from

NH

TSA

rev

ised

dat

a an

d ar

e no

t ba

sed

excl

usiv

ely

on U

SDO

T, F

eder

al H

ighw

ay A

dmin

istr

atio

n (F

HW

A)

data

. The

cha

nge

was

mad

e to

ref

lect

the

dif

fere

nt v

ehic

le c

lass

ific

atio

n sc

hem

es u

sed

by F

HW

A. a

nd N

HT

SA. T

hus,

veh

icle

-mile

s fo

r pa

ssen

ger

cars

, and

ligh

t an

d la

rge

truc

ks in

thi

s ta

ble

and

tabl

e 2-

23 s

houl

d no

t be

com

pare

d w

ith

vehi

cle-

mile

s in

cha

pter

1, w

hich

are

tak

en d

irec

tly

from

FH

WA

.

SOU

RC

ES

Fata

litie

s, in

juri

es, v

ehic

le m

iles,

fat

alit

y an

d in

jury

rat

es:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, N

atio

nal C

ente

r fo

r St

atis

tics

and

Ana

lysi

s, T

raff

ic S

afet

y Fa

cts

2000

, D

OT

HS

809

337

(Was

hing

ton,

DC

: Dec

embe

r 20

01),

tab

le 7

and

per

sona

l com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Cra

shes

:U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Fat

alit

y A

naly

sis

Rep

orti

ng

Syst

em D

atab

ase

and

Gen

eral

Est

imat

es S

yste

m D

atab

ase,

per

sona

l com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Cra

sh r

ates

:C

alcu

late

d by

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs b

y di

vidi

ng t

he n

umbe

r of

cra

shes

by

the

vehi

cle-

mile

s tr

avel

ed.

Page 171: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

152 � Chapter 2: Transportation SafetyTA

BLE

2-22

: Mot

orcy

cle

Ride

r Saf

ety

Data

1975

1980

1985

1990

19

95

1996

19

97

1998

19

99

2000

20

01

Fata

litie

s3,

189

5,14

44,

564

3,24

42,

227

2,16

12,

116

2,29

42,

483

R2,

897

3,18

1

Inju

red

per

son

sEN

NN

84,2

8557

,480

55,2

8152

,574

48,9

7449

,986

57,7

2360

,236

Cra

shes

EN

NN

103,

114

66,3

5466

,224

61,4

5154

,477

57,3

2268

,783

73,3

26

Veh

icle

-mile

s (m

illio

ns)

5,62

910

,214

9,08

69,

557

9,79

79,

920

10,0

8110

,283

10,5

8410

,479

U

Rat

es p

er 1

00 m

illio

n v

ehic

le-m

ilesa

Fata

litie

s57

5050

3423

2221

22R

23R

28U

Inju

red

pers

onsE

NN

N88

258

755

752

247

647

2R

553

U

Cra

shes

EN

NN

1,07

967

766

861

053

054

265

6U

KE

Y: E

= e

stim

ated

; N =

dat

a do

not

exi

st; R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion

(USD

OT

), N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n (N

HT

SA)

roun

ds it

s in

jury

and

cra

sh d

ata

to t

he n

eare

st t

hou-

sand

bef

ore

publ

ishi

ng th

em, b

ut it

cal

cula

tes

inju

ry r

ates

usi

ng th

e un

roun

ded

data

. NH

TSA

als

o ca

lcul

ates

fata

lity

and

inju

ry r

ates

usi

ng v

ehic

le-m

iles

expr

esse

d to

a h

ighe

r le

vel o

f pr

ecis

ion

than

sho

wn

here

. USD

OT,

Bur

eau

of T

rans

port

atio

n St

atis

tics

rou

nded

veh

icle

-mile

s to

the

nea

rest

100

mill

ion

in t

his

tabl

e.

NO

TE

The

inju

ry a

nd c

rash

dat

a in

thi

s ta

ble

are

from

NH

TSA

’s G

ener

al E

stim

ates

Sys

tem

(G

ES)

. The

dat

a fr

om t

he G

ES,

whi

ch b

egan

ope

rati

on in

198

8, a

re o

btai

ned

from

a n

atio

nally

rep

rese

ntat

ive

prob

abili

ty s

ampl

e se

lect

ed f

rom

all

polic

e-re

port

ed c

rash

es. T

he G

ES

sam

ple

incl

udes

onl

y cr

ashe

s w

here

a p

olic

e ac

cide

nt

repo

rt w

as c

ompl

eted

and

the

cra

sh r

esul

ted

in p

rope

rty

dam

age,

inju

ry, o

r de

ath.

The

res

ulti

ng f

igur

es d

o no

t ta

ke in

to a

ccou

nt c

rash

es t

hat

wer

e no

t re

port

ed t

o th

e po

lice

or t

hat

did

not

resu

lt in

pro

pert

y da

mag

e. T

he 1

993

Nat

iona

l Tra

nspo

rtat

ion

Stat

isti

cs (

NT

S) C

ompe

ndiu

m a

nd e

arlie

r ed

itio

ns il

lus-

trat

ed c

rash

es a

nd in

jury

fig

ures

est

imat

ed b

y th

e N

atio

nal S

afet

y C

ounc

il, w

hich

use

d a

diff

eren

t se

t of

met

hods

to

arri

ve a

t it

s fi

gure

s. T

hus,

the

inju

ry a

nd

cras

h fi

gure

s in

thi

s ed

itio

n of

NT

S m

ay n

ot b

e co

mpa

rabl

e w

ith

thos

e fo

und

in t

he C

ompe

ndiu

m a

nd e

arlie

r ed

itio

ns.

SOU

RC

ES

Fata

litie

s, in

juri

es, a

nd v

ehic

le-m

iles:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, N

atio

nal C

ente

r fo

r St

atis

tics

and

Ana

lysi

s, T

raff

ic S

afet

y Fa

cts

2000

, D

OT

HS

809

337

(Was

hing

ton,

DC

: Dec

embe

r 20

01),

tab

le 1

0 an

d pe

rson

al c

omm

unic

atio

n, S

ept.

10,

200

2.

Cra

shes

:U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Fat

alit

y A

naly

sis

Rep

orti

ng

Syst

em D

atab

ase

and

Gen

eral

Est

imat

es S

yste

m D

atab

ase,

per

sona

l com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Page 172: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Highway � 153

TABL

E 2-

23: T

ruck

Occ

upan

t Saf

ety

Data

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Fata

litie

sLi

ght

4,85

67,

486

6,68

98,

601

9,56

89,

932

10,2

4910

,705

11,2

65R

11,5

2611

,677

Larg

e96

11,

262

977

705

648

621

723

742

759

R75

470

4

Tota

l5,

817

8,74

87,

666

9,30

610

,216

10,5

5310

,972

11,4

4712

,024

R12

,280

12,3

81

Inju

red

per

son

sE

Ligh

tN

NN

505,

144

722,

496

761,

478

754,

820

762,

506

846,

865

886,

566

860,

527

Larg

eN

NN

41,8

2230

,344

32,7

6030

,913

28,7

6732

,892

30,8

3229

,424

Tota

lN

NN

546,

966

752,

840

794,

238

785,

733

791,

273

879,

757

917,

398

889,

951

Cra

shes

E

Ligh

tN

NN

2,15

2,48

62,

749,

596

2,88

0,78

22,

900,

896

2,86

6,72

93,

079,

617

3,20

7,73

83,

254,

027

Larg

eN

NN

371,

801

362,

883

378,

335

421,

377

391,

807

452,

444

437,

861

409,

352

Tota

laN

NN

2,45

9,90

83,

039,

159

3,17

5,49

73,

225,

320

3,16

7,96

73,

425,

409

3,53

9,79

73,

560,

956

Veh

icle

-mile

s (m

illio

ns)

Ligh

t20

4,27

429

5,47

538

8,77

855

5,65

974

9,97

178

7,25

582

4,89

686

1,95

190

3,31

494

3,81

9U

Larg

e81

,330

108,

491

123,

504

146,

242

178,

156

182,

971

191,

477

196,

380

202,

688

205,

791

U

Rat

es p

er 1

00 m

illio

n v

ehic

le-m

iles

Fata

litie

sLi

ght

2.4

2.5

1.7

1.5

1.3

1.3

1.2

1.2

1.2

1.2

U

Larg

e1.

21.

20.

80.

50.

40.

30.

40.

40.

40.

4U

Con

tinue

d ne

xt p

age

Page 173: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

154 � Chapter 2: Transportation Safety

Inju

red

per

son

sE

Ligh

tN

NN

9196

9792

8894

94U

Larg

eN

NN

2917

1816

1516

15U

Cra

shes

E

Ligh

tN

NN

387

367

366

352

333

341

340

ULa

rge

NN

N25

420

420

722

020

022

321

3U

KE

Y: E

= e

stim

ated

; N =

dat

a do

not

exi

st; R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aC

rash

es o

ften

invo

lve

mor

e th

an o

ne t

ype

of t

ruck

(lig

ht o

r la

rge)

, hen

ce “

tota

l tru

ck c

rash

es”

is s

mal

ler

than

the

sum

of

the

com

pone

nts.

NO

TE

SL

arge

truc

ks -

truc

ks o

ver

10,0

00 p

ound

s gr

oss

vehi

cle

wei

ght

rati

ng, i

nclu

ding

sin

gle-

unit

truc

ks a

nd tr

uck

trac

tors

. Lig

ht tr

ucks

- tr

ucks

of 1

0,00

0 po

unds

gro

ss

vehi

cle

wei

ght r

atin

g or

less

, inc

ludi

ng p

icku

ps, v

ans,

truc

k-ba

sed

stat

ion

wag

ons,

and

uti

lity

vehi

cles

. The

inju

ry a

nd c

rash

dat

a in

thi

s ta

ble

are

from

the

U.S

. D

epar

tmen

t of

Tra

nspo

rtat

ion

(USD

OT

), N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n’s

(NH

TSA

) G

ener

al E

stim

ates

Sys

tem

(G

ES)

. The

dat

a fr

om G

ES,

w

hich

beg

an o

pera

tion

in 1

988,

are

obt

aine

d fr

om a

nat

iona

lly r

epre

sent

ativ

e pr

obab

ility

sam

ple

sele

cted

fro

m a

ll po

lice-

repo

rted

cra

shes

. The

GE

S sa

mpl

e in

clud

es o

nly

cras

hes

whe

re a

pol

ice

acci

dent

rep

ort

was

com

plet

ed a

nd t

he c

rash

res

ulte

d in

pro

pert

y da

mag

e, in

jury

, or

deat

h. T

he r

esul

ting

fig

ures

do

not

take

into

acc

ount

cra

shes

tha

t w

ere

not

repo

rted

to

the

polic

e or

tha

t di

d no

t re

sult

in p

rope

rty

dam

age.

T

he 1

993

Nat

iona

l Tra

nspo

rtat

ion

Stat

isti

cs (

NT

S) H

isto

rica

l Com

pend

ium

and

ear

lier

edit

ions

illu

stra

ted

cras

hes

and

inju

ry f

igur

es e

stim

ated

by

the

Nat

iona

l Sa

fety

Cou

ncil,

whi

ch u

sed

a di

ffer

ent

set

of m

etho

ds t

o ar

rive

at

its

figu

res.

Thu

s, t

he in

jury

and

cra

sh f

igur

es in

thi

s ed

itio

n of

NT

S m

ay n

ot b

e co

mpa

rabl

e w

ith

thos

e fo

und

in t

he C

ompe

ndiu

m a

nd e

arlie

r ed

itio

ns.

USD

OT,

Bur

eau

of T

rans

port

atio

n St

atis

tics

rou

nded

veh

icle

-mile

s to

the

nea

rest

bill

ion.

V

ehic

le-m

iles

in t

his

tabl

e an

d in

tab

le 2

-19

are

take

n fr

om N

HT

SA r

evis

ed d

ata

and

are

not

base

d ex

clus

ivel

y on

USD

OT,

Fed

eral

Hig

hway

Adm

inis

trat

ion

(FH

WA

) da

ta, a

s th

ey h

ave

been

in e

arlie

r re

port

s. T

he c

hang

e w

as m

ade

to r

efle

ct t

he d

iffe

rent

veh

icle

cla

ssif

icat

ion

sche

mes

use

d by

FH

WA

and

NH

TSA

. T

hus,

veh

icle

-mile

s fo

r pa

ssen

ger

cars

and

ligh

t an

d la

rge

truc

ks in

tab

le 2

-19

and

this

tab

le s

houl

d no

t be

com

pare

d w

ith

vehi

cle-

mile

s in

Cha

pter

1, w

hich

ar

e ta

ken

dire

ctly

fro

m F

HW

A.

SOU

RC

ES

Fata

litie

s, in

juri

es, v

ehic

le-m

iles,

fat

alit

y an

d in

jury

rat

es:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, N

atio

nal C

ente

r fo

r St

atis

tics

and

Ana

lysi

s, T

raff

ic S

afet

y Fa

cts

2000

, D

OT

HS

809

337

(Was

hing

ton,

DC

: Dec

embe

r 20

01),

tab

les

8, 9

, and

per

sona

l com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Cra

shes

:Ib

id.,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Fat

alit

y A

naly

sis

Rep

orti

ng S

yste

m D

atab

ase

and

Gen

eral

Est

imat

es S

yste

m D

atab

ase,

per

sona

l com

mun

ica-

tion

, Sep

t. 1

0, 2

002.

Cra

sh r

ates

:C

alcu

late

d by

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs.

TABL

E 2-

23: T

ruck

Occ

upan

t Saf

ety

Data

(Con

tinue

d)

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Page 174: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Highway � 155

TABL

E 2-

24: B

us O

ccup

ant S

afet

y Da

taa

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Fata

litie

s53

4657

3233

2118

3859

2234

Inju

red

per

son

sEN

NN

32,6

9119

,214

20,2

9116

,887

15,5

5921

,958

17,7

6915

,427

Cra

shes

EN

NN

60,4

1258

,847

57,1

8553

,376

53,3

8562

,591

55,5

9454

,264

Veh

icle

-mile

s (m

illio

ns)

6,05

56,

059

4,47

85,

726

6,42

06,

563

6,84

27,

007

7,66

27,

601

U

Rat

es p

er 1

00 m

illio

n v

ehic

le-m

ilesb

Fata

litie

s0.

90.

81.

30.

60.

50.

30.

30.

50.

80.

3U

Inju

red

pers

onsE

NN

N57

129

930

924

722

228

723

4U

Cra

shes

EN

NN

1,05

591

787

178

076

281

773

1U

KE

Y: E

= e

stim

ated

; N =

dat

a do

not

exi

st; U

= d

ata

are

not a

vaila

ble.

aB

us in

clud

es s

choo

l, tr

ansi

t, a

nd in

terc

ity

buse

s.b

The

U.S

. Dep

artm

ent

of T

rans

port

atio

n (U

SDO

T),

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion

(NH

TSA

) ro

unds

its

inju

ry a

nd c

rash

dat

a to

the

nea

rest

th

ousa

nd, b

ut in

jury

and

cra

sh r

ates

are

cal

cula

ted

usin

g th

e un

roun

ded

data

. NH

TSA

als

o ca

lcul

ates

fat

alit

y, in

jury

, and

cra

sh r

ates

usi

ng v

ehic

le-m

iles

expr

esse

d to

a h

ighe

r le

vel o

f pr

ecis

ion

than

sho

wn

here

. Thu

s, in

jury

and

cra

sh r

ates

sho

wn

in t

his

tabl

e m

ay d

iffe

r sl

ight

ly f

rom

the

rat

es t

hat

wou

ld b

e ca

l-cu

late

d fr

om t

he d

ata

in t

his

tabl

e. U

SDO

T, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs h

as r

ound

ed v

ehic

le-m

iles

to t

he n

eare

st 1

00 m

illio

n in

thi

s ta

ble.

NO

TE

The

inju

ry a

nd c

rash

dat

a in

thi

s ta

ble

are

from

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n (U

SDO

T),

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion’

s (N

HT

SA)

Gen

eral

Est

imat

es S

yste

m (

GE

S). T

he d

ata

from

GE

S, w

hich

beg

an o

pera

tion

in 1

988,

are

obt

aine

d fr

om a

nat

iona

lly r

epre

sent

ativ

e pr

obab

ility

sam

ple

sele

cted

fro

m a

ll po

lice-

repo

rted

cra

shes

. The

GE

S sa

mpl

e in

clud

es o

nly

cras

hes

whe

re a

pol

ice

acci

dent

rep

ort

was

com

plet

ed a

nd t

he c

rash

res

ulte

d in

pro

p-er

ty d

amag

e, in

jury

, or

deat

h. T

he r

esul

ting

fig

ures

do

not

take

into

acc

ount

cra

shes

tha

t w

ere

not

repo

rted

to

the

polic

e or

tha

t di

d no

t re

sult

in p

rope

rty

dam

age.

The

199

3 N

atio

nal T

rans

port

atio

n St

atis

tics

(N

TS)

His

tori

cal C

ompe

ndiu

m a

nd e

arlie

r ed

itio

ns il

lust

rate

d cr

ashe

s an

d in

jury

fig

ures

est

imat

ed b

y th

e N

atio

nal S

afet

y C

ounc

il, w

hich

use

d a

diff

eren

t se

t of

met

hods

to

arri

ve a

t it

s fi

gure

s. T

hus,

the

inju

ry a

nd c

rash

fig

ures

in t

his

edit

ion

of N

TS

may

not

be

com

para

ble

wit

h th

ose

foun

d in

the

Com

pend

ium

and

in e

arlie

r ed

itio

ns.

SOU

RC

ES

Fata

litie

s an

d in

juri

es:

1975

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Tra

ffic

Saf

ety

Fact

s 20

00, D

OT

HS

809

337

(Was

hing

ton,

DC

: Dec

embe

r 20

01),

tab

les

4, 5

1, a

nd p

erso

nal c

omm

unic

atio

n, S

ept.

10,

200

2.

Cra

shes

:19

90-2

000:

Ibi

d., G

ener

al E

stim

ates

Sys

tem

Dat

abas

e, p

erso

nal c

omm

unic

atio

n, S

ept

10, 2

002.

Veh

icle

-mile

s:19

75-9

0: U

.S. D

epar

tmen

t of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tatis

tics

Sum

mar

y to

199

5 (W

ashi

ngto

n, D

C: J

uly

1997

), ta

ble

VM

-201

A.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Page 175: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

156 � Chapter 2: Transportation Safety

TABLE 2-25: Fatalities by Highest Blood Alcohol Concentration (BAC) in Highway Crashes

1985 1990 1995 1996 1997 1998 1999 2000 2001

Total fatalities 43,825 44,599 41,817 42,065 42,013 41,501 41,717 R41,945 42,116

Fatalities in alcohol-related crashesR 23,167 22,587 17,732 17,749 16,711 16,673 16,572 17,380 17,448

Percent 52.9% 50.6% 42.4% 42.2% 38.5% 40.2% 39.7% 41.4% 41.4%

BAC = 0.00

NumberR 20,659 22,012 24,085 24,316 25,302 24,828 25,145 24,565 24,668

Percent 47.1% 49.4% 57.6% 57.8% 61.5% 59.8% 60.3% 58.6% 58.6%

BAC = 0.01 - 0.07

NumberR 3,081 2,980 2,490 2,486 2,290 2,465 2,321 2,511 2,515

Percent 7.0% 6.7% 6.0% 5.9% 8.3% 5.9% 5.6% 6.0% 6.0%

BAC = 0.08+

NumberR 20,086 19,607 15,242 15,263 14,421 14,207 14,250 14,870 14,933

Percent 45.8% 44.0% 36.4% 36.3% 30.3% 34.2% 29.6% 35.5% 35.5%

KEY: BAC = blood alcohol concentration; R = revised.

NOTESBAC values have been assigned by U.S. Department of Transportation, National Highway Traffic Safety

Administration (NHTSA) when alcohol test results are unknown. Alcohol-related crashes pertain to the BAC of the driver and nonoccupants struck by motor vehicles. For some years, numbers may not add to totals due to rounding.

In 2001, NHTSA adopted a new method to estimate missing blood alcohol concentration (BAC) test result data. This new method, multiple imputation, is being used by NHTSA’s National Center for Statistics and Analysis (NCSA) to improve the scope of alcohol involvement statistics by the Fatality Analysis Reporting System (FARS). As a result of the methodology change, BAC 0.08 breakouts, which coincide with many state laws, can now be determined. Thus, NHTSA’s general reporting categories have been modified to reflect this and are now BAC 0.00, BAC 0.01-0.07, and BAC 0.08+.

SOURCEU.S. Department of Transportation, National Highway Traffic Safety Administration, National Center for Sta-

tistics and Analysis, Traffic Safety Facts 2000, DOT HS 809 337 (Washington, DC: December 2001), table 13 and personal communication, Sept. 10, 2002.

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Highway � 157

TABLE 2-26: Number of States with Different Types of Anti-DUI / DWI Legislation in Effect as of January 1 of the Listed Year

1986 1990 1992 1994 1996 1997 1998 1999 2000 2001

BAC = 0.08 per se lawsa 2 4 5 10 13 13 15 16 c18 c20

BAC level 0.02 or less for persons younger than 21 years 0 0 3 12 c28 c38 c51 c51 c51 c51

Administrative license revocation (ALR) for DUI / DWI offendersb c21 c27 c30 c33 c38 c40 c41 c41 c41 c41

KEY: BAC = blood alcohol concentration; DUI = driving under the influence; DWI = driving while intoxicated.

a Per se law makes it illegal in and of itself to drive with an alcohol concentration measured at or above a cer-tain level.

b States that impose additional thresholds for ALR beyond those imposed for DUI/DWI are not included in these figures.

c Includes the District of Columbia.

NOTENational Uniform Minimum Drinking Age Act, which standardized the minimum drinking age at 21, was

enacted in 1984.

SOURCES 0.02 BAC and Administrative license revocation:1986-98: U.S. Department of Transportation, National Highway Traffic Safety Administration, Traffic Safety

Programs, Research and Evaluation Division, personal communications, Apr. 9, 1999 and Oct. 4, 1999.1999-2000: Ibid. Impaired Driving Division, personal communications, May 22, 2000.2001: Ibid. Setting Limits, Saving Lives (Washington, DC: April 2001), DOT HS 809-241.

0.08 BAC 1986-2000: Ibid. Presidential Initiative for Making 0.08 BAC the National Legal Limit, A Progress Report,

Internet site http://www.nhtsa.dot.gov/people/injury/alcohol/limit.08/08progressreport/index.html as of Aug. 13, 2001.

2001: Ibid. Setting Limits, Saving Lives (Washington, DC: April 2001), DOT HS 809-241.

Page 177: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

158 � Chapter 2: Transportation Safety

TABLE 2-27: Motor Vehicle Fatal Crashes by Day of Week, Time of Day, and Weatherand Light Conditions (Percent)

1990 1995 1996 1997 1998 1999 2000 2001TOTAL fatal crashes 39,836 37,241 37,494 37,324 37,107 37,140 R37,526 37,795

Day of weekSunday 16.1 15.7 15.2 15.8 15.5 15.7 16.1 16.0Monday 11.7 12.4 12.7 12.1 12.4 12.6 R12.3 12.6

Tuesday 11.5 11.8 12.4 11.9 12.4 11.9 12.0 12.1

Wednesday 11.5 11.9 12.2 13.0 12.4 12.5 12.2 12.2Thursday R12.6 13.0 13.3 13.0 13.5 12.9 13.0 12.7

Friday R16.7 16.6 16.1 16.1 15.8 15.9 16.0 16.1

Saturday R20.0 18.5 18.2 18.0 18.0 18.5 18.5 18.2

Unknown 0.02 0.03 0.04 0.05 0.04 0.01 R0.01 0.04

Time of dayMidnight to 3 a.m. 15.7 12.8 12.6 12.2 12.3 12.2 12.5 12.53 a.m. to 6 a.m. 7.7 7.5 7.4 7.2 7.3 7.6 8.0 7.6

6 a.m. to 9 a.m. 8.6 9.2 9.5 9.9 9.7 10.1 9.9 9.89 a.m. to noon R8.5 9.4 9.7 9.9 10.2 10.1 9.9 10.0

Noon to 3 p.m. R11.6 12.9 12.7 13.3 13.4 13.2 13.1 13.2

3 p.m. to 6 p.m. R15.7 16.8 16.9 16.6 16.8 16.8 16.7 16.6

6 p.m. to 9 p.m. R15.6 15.9 15.7 15.9 15.6 15.4 R15.3 15.4

9 p.m. to midnight 15.9 14.6 14.6 14.1 13.8 13.8 13.7 14.1

Unknown 0.8 0.9 0.9 0.9 0.9 0.8 0.9 0.8

Atmospheric conditionNormal 86.7 86.7 86.3 86.4 87.2 89.0 R88.0 88.1

Rain 9.3 8.6 8.4 8.8 8.8 7.3 R7.1 7.5

Snow/sleet 1.6 2.4 2.7 2.5 1.7 1.6 R2.3 1.8

Other/unknown 2.3 2.3 2.6 2.3 2.3 2.0 R2.6 2.6

Light conditionDaylight 45.0 48.7 49.3 50.3 50.5 50.7 R50.5 50.7

Dark, but lighted 17.7 16.0 15.9 15.6 14.9 15.0 15.9 15.6Dark 32.7 30.7 30.3 29.5 30.0 29.7 R29.2 29.0

Dawn or dusk 4.2 4.2 4.2 4.2 4.3 4.3 R4.1 4.1

Unknown 0.3 0.4 0.3 0.4 0.3 0.3 R0.4 0.7

KEY: R = revised.

SOURCESU.S. Department of Transportation, National Highway Traffic Safety Administration, National Center for Sta-

tistics and Analysis, Traffic Safety Facts 2000, DOT HS 809 337 (Washington, DC: December 2001), tables 24, 25, and personal communication, Sept. 10, 2002.

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Highway � 159

TABLE 2-28: Motor Vehicle Fatal Crashes by Posted Speed Limit

1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001

TOTAL fatal crashes 39,161 45,284 R39,196 39,836 37,241 37,494 37,324 37,107 37,140 R37,526 37,795

Under 55 mph

5,10,15, 20, 25 mpha 2,617 2,865 2,504 2,234 1,893 1,896 1,955 1,873 1,863 R1,827 1,877

30, 35 mph 6,099 8,527 R7,890 7,756 6,681 6,445 6,383 6,025 5,946 R6,079 6,179

40, 45 mph 4,276 6,256 R6,812 7,092 6,938 7,096 7,132 7,349 7,245 R7,315 7,532

50 mph 2,241 2,431 2,072 2,054 1,927 1,908 1,788 1,771 1,909 R1,833 1,801

Total 15,233 20,079 19,278 19,136 17,439 17,345 17,258 17,018 16,963 R17,054 17,389

55 mph and above55 mph 16,094 20,352 R18,863 17,556 16,753 14,097 12,897 12,522 12,184 R12,143 11,798

60 mph 0 0 2 18 16 523 935 1,073 1,069 R1,163 1,230

65 mph 1 0 2 2,175 2,323 3,214 3,311 3,421 3,537 R3,686 3,682

70 mph 0 0 3 0 38 1,282 1,633 1,835 2,079 R2,230 2,125

Over 70 mph 0 0 1 0 10 344 475 482 504 513 508

Total R16,095 20,352 R18,871 19,749 19,140 19,460 19,251 19,333 19,373 R19,735 19,343

Unknown, total R7,833 4,853 R1,047 951 662 689 815 756 804 R737 1,063

KEY: mph = miles per hour.

a The “No Statutory Limit” speed limit designation is included in this category.

NOTESIn 1974, Congress enacted a national maximum speed limit of 55 miles per hour (mph). Amendments in 1987

and 1991 allowed states to increase speed limits to 65 mph on rural Interstates and similar highways. The National Maximum Speed Limit was repealed in late 1995; speed limits are again set by the states, some of

which have raised their maximum speed limits to 70 mph or above.

SOURCESU.S. Department of Transportation, National Highway Traffic Safety Administration, National Center for Sta-

tistics and Analysis, Traffic Safety Facts 2000, DOT HS 809 337 (Washington, DC: December 2001), table 30, and personal communication, Sept. 10, 2002.

Page 179: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

160 � Chapter 2: Transportation Safety

TABLE 2-29: Safety Belt and Motorcycle Helmet Use (percent)

1994 1996 1998 2000c

OVERALL SAFETY BELT USE 58 61 69 71Drivers 59 62 70 72Passengers 55 59 65 68

Passenger cars 63 64 71 74Drivers 64 65 72 75Passengers 59 62 68 70

Light trucksa 50 56 66 68

Drivers 51 58 67 69Passengers 49 53 61 65

MOTORCYCLE HELMET USEb 63 64 67 U

Operators 67 66 64 72Riders 54 58 84 62

KEY: U = data are not available.

a Includes pickup trucks, vans, minivans, and sport utility vehicles.b In 1994, operators and riders were counted as helmeted if wearing any type of helmet. In 1996 and 1998,

only those operators and riders wearing safety helmets that met U.S. Department of Transportation (DOT) standards were counted. Those safety helmets that do not meet DOT standards were treated as if the opera-tor/rider were not wearing a helmet.

c The results from the 2000 National Occupant Protection Use Survey were not published to the same degree of precision as previous years’ data.

NOTEOccupants of commercial and emergency vehicles are excluded.

SOURCES1994-98: U.S. Department of Transportation, National Highway Traffic Safety Administration, Research Note,

Observed Safety Belt Use in 1998 (Washington, DC: September 1999), Internet site http://www.nhtsa.dot.gov/people/ncsa/98obbelt.html as of Aug. 27, 2002, table 3.

2000: Ibid., Research Note, Observed Safety Belt Use: Fall 2000 National Occupant Protection Use Survey Internet site http://www.nhtsa.dot.gov/people/ncsa/pdf/00-035.pdf as of Aug. 27, 2002, tables 1 and 4. Data are from the National Occupant Protection Use Survey (NOPUS), Moving Traffic Study, 1994, 1996, 1998, and 2000.

Page 180: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Highway � 161

TABL

E 2-

30: E

stim

ated

Num

ber o

f Liv

es S

aved

by

Use

of R

estra

ints

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Tota

l19

75-2

000

Saf

ety

bel

tsa

978

575

2,43

56,

592

9,79

010

,414

10,7

5011

,018

11,1

9711

,889

135,

102

Air

bag

s0

00

3747

068

684

21,

043

1,26

31,

584

6,55

3M

oto

rcyc

le h

elm

ets

823

871

788

602

506

490

486

500

551

631

17,7

87A

ge

21 m

inim

um

leg

al d

rin

kin

g a

ge

412

595

701

1,03

385

184

684

686

190

192

220

,043

Ch

ild r

estr

ain

ts36

4915

322

227

936

531

229

930

7R

316

R4,

816

Saf

ety

seat

s33

3913

519

323

231

326

624

427

728

24,

118

Adu

lt sa

fety

bel

tsb

310

1829

4752

4655

3033

697

KE

Y: R

= r

evis

ed.

aR

epre

sent

s al

l adu

lts

and

child

ren

age

5 an

d ol

der.

Dat

a ar

e fo

r pa

ssen

ger

vehi

cles

, whi

ch in

clud

e ca

rs, l

ight

tru

cks,

van

s, p

icku

ps, a

nd u

tilit

y ve

hicl

es.

Exc

lude

s m

ediu

m a

nd h

eavy

tru

cks.

bR

epre

sent

s ch

ildre

n ag

e 4

and

youn

ger

rest

rain

ed o

nly

by a

dult

saf

ety

belt

s.

NO

TE

Tota

l ref

lect

s liv

es s

aved

for

all

year

s fr

om 1

975

to 2

000.

SOU

RC

ES

Mot

orcy

cle

helm

ets:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, T

raff

ic S

afet

y Fa

ct S

heet

200

0: M

otor

cycl

es (

Was

hing

ton,

DC

: 200

2) D

OT

H

S 80

9 32

6, a

nd p

erso

nal c

omm

unic

atio

n, A

pr. 5

, 200

0.

Min

imum

dri

nkin

g ag

e:Ib

id.,

Tra

ffic

Saf

ety

Fact

She

et 2

000:

Alc

ohol

(W

ashi

ngto

n, D

C: 2

002)

DO

T H

S 80

9 32

3, a

nd p

erso

nal c

omm

unic

atio

n, A

pr. 5

, 200

0.

All

othe

r re

stra

int

use:

Ibid

., T

raff

ic S

afet

y Fa

ct S

heet

200

0: O

ccup

ant

Pro

tect

ion

(Was

hing

ton,

DC

: 200

2) D

OT

HS

809

327,

and

per

sona

l com

mun

icat

ion,

Apr

. 5, 2

000.

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chapter two

Section DTransit

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Page 184: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transit � 165

TABL

E 2-

31: T

rans

it Sa

fety

and

Pro

perty

Dam

age

Data

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

Fata

litie

sa33

930

027

328

132

027

426

427

528

629

929

5

Inju

ries

a54

,556

52,1

2555

,089

52,6

6858

,193

57,1

9655

,288

56,1

3255

,990

55,3

2556

,697

Acc

iden

tsb

58,0

0246

,467

36,3

8030

,559

29,9

7225

,683

25,1

6624

,924

23,9

3723

,310

24,2

61

Inci

den

tsa,

b (

incl

ud

es a

ccid

ents

)90

,163

83,1

3973

,831

64,9

8670

,693

62,4

7159

,392

61,5

6160

,094

58,7

0359

,898

Veh

icle

-mile

s (m

illio

ns)

2,49

02,

478

2,51

02,

535

2,58

12,

620

2,60

52,

702

2,83

32,

927

3,00

2

Rat

es p

er 1

00 m

illio

n v

ehic

le-m

ilesc

Fata

litie

s (a

ll re

port

able

inci

dent

s)13

.612

.110

.911

.112

.410

.510

.110

.210

.110

.29.

8In

jurie

s (a

ll re

port

able

inci

dent

s)2,

191

2,10

32,

195

2,07

72,

254

2,18

32,

122

2,07

81,

976

1,89

01,

889

Acc

iden

ts2,

329

1,87

51,

450

1,20

51,

161

980

966

922

845

796

808

Pro

per

ty d

amag

ed (

curr

ent

$ m

illio

ns)

38.0

37.5

37.5

44.9

38.4

46.3

57.6

55.5

61.5

55.3

58.9

aTo

tals

do

not

incl

ude

data

for

cab

le c

ar, i

nclin

ed p

lane

, jit

ney,

and

fer

ry b

oat.

The

se d

ata

appe

ar in

the

foo

tnot

es f

or t

able

2-3

3.b

Acc

iden

ts in

clud

e co

llisi

ons

wit

h ot

her

vehi

cles

, obj

ects

, and

peo

ple

(exc

ept

suic

ides

), a

nd d

erai

lmen

ts/b

uses

goi

ng o

ff t

he r

oad.

Inc

iden

ts in

clud

e ac

cide

nts

plus

per

sona

l cas

ualt

ies

(ins

ide

vehi

cles

, ins

ide

stat

ions

, and

boa

rdin

g an

d al

ight

ing

vehi

cle)

and

fir

es.

cFa

talit

y an

d in

jury

rat

es a

re b

ased

on

tota

l inc

iden

ts in

clud

ing

acci

dent

s an

d w

ere

calc

ulat

ed b

y di

vidi

ng t

he n

umbe

r of

fat

alit

ies,

inju

ries

, and

inci

-de

nts

in t

his

tabl

e by

the

num

ber

of v

ehic

le m

iles.

dTo

tal d

oes

not

incl

ude

prop

erty

dam

age

for

cabl

e ca

r, in

clin

ed p

lane

, jit

ney,

and

fer

ry b

oat,

whi

ch w

ere:

199

0–$3

35,0

00; 1

991–

$410

,000

; 199

2–$2

88,0

00; 1

993–

$221

,000

; 199

4–$3

22,0

00; 1

995–

$3,2

63,0

00; 1

996–

$157

,000

; 199

7–$6

7,00

0; 1

998–

$24,

000;

199

9–$1

04,0

00; 2

000–

$77,

000.

NO

TE

SD

ata

are

prov

ided

onl

y fo

r tr

ansi

t sy

stem

s th

at f

urni

shed

saf

ety

data

for

incl

usio

n in

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al T

rans

it A

dmin

istr

a-ti

on, T

rans

it S

afet

y an

d Se

curi

ty S

tati

stic

s an

d A

naly

sis,

ann

ual r

epor

ts.

Tra

nsit

veh

icle

-mile

s in

thi

s ta

ble

diff

er f

rom

tho

se r

epor

ted

in C

hapt

er 1

. The

Am

eric

an P

ublic

Tra

nsit

Ass

ocia

tion

, whi

ch is

the

sou

rce

for

the

vehi

cle-

mile

s ta

ble

in C

hapt

er 1

, inc

lude

s al

l tra

nsit

sys

tem

s, w

hile

Saf

ety

Man

agem

ent

Info

rmat

ion

Stat

isti

cs (

SAM

IS)

cove

rs o

nly

dire

ctly

ope

rate

d ur

ban

tran

sit

syst

ems.

Pr

ior

to t

he 2

000

edit

ion,

Tra

nsit

Saf

ety

and

Secu

rity

Sta

tist

ics

and

Ana

lysi

s R

epor

t w

as e

ntit

led

Safe

ty M

anag

emen

t In

form

atio

n St

atis

tics

(SA

MIS

) an

nual

rep

ort.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Tra

nsit

Adm

inis

trat

ion,

200

0 T

rans

it S

afet

y an

d Se

curi

ty S

tati

stic

s an

d A

naly

sis

Rep

ort

(Cam

brid

ge, M

A:

2002

).

Page 185: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

166 � Chapter 2: Transportation Safety

TABLE 2-32: Transit Safety Data by Modea for All Reported Accidentsb

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000Fatalities

Motor busc 92 80 91 79 90 69 82 100 90 91 82

Light rail 5 11 6 14 10 10 5 3 14 13 22Heavy rail 51 59 33 37 41 43 32 28 18 21 19

Commuter rail 63 63 43 59 82 56 30 52 67 64 56Demand responsive 0 2 0 2 2 1 3 2 2 1 4Van pool 0 0 0 0 0 0 0 0 0 0 0

Automated guideway 1 0 0 0 0 0 0 0 1 0 0Total 212 215 173 191 225 179 152 185 192 190 183

Injured persons

Motor busc 18,876 19,016 20,556 20,862 19,663 20,879 21,222 20,145 R20,136 20,291 20,329

Light rail 465 474 468 361 327 355 680 320 332 427 415Heavy rail 296 308 273 365 309 348 431 336 261 286 425

Commuter rail 84 560 110 210 216 159 213 99 66 54 53Demand responsive 286 200 233 224 399 395 379 499 492 632 869Van pool 16 36 13 58 24 23 25 52 53 37 49

Automated guideway 0 0 0 1 1 0 0 1 1 0 0Total 20,023 20,594 21,653 22,081 20,939 22,159 22,950 21,452 R21,341 21,727 22,140

Accidents

Motor busc 55,289 44,467 34,282 28,596 27,754 23,819 23,425 R22,991 22,277 21,137 22,127

Light rail 699 671 600 449 512 309 341 363 328 300 357

Heavy rail 144 188 613 662 744 637 346 R278 293 396 364

Commuter rail 175 248 181 208 266 216 201 R162 193 215 268

Demand responsive 1,613 814 668 524 659 647 774 886 664 862 997

Van pool 81 79 35 119 36 54 78 160 179 130 157Automated guideway 1 1 1 1 1 1 1 R2 3 0 1

Total 58,002 46,468 36,380 30,559 29,972 25,683 25,166 R24,842 23,937 23,040 24,271

Vehicle-miles (millions)

Motor busc 1,668 1,661 1,688 1,690 1,702 1,702 1,687 1,719 1,779 1,835 1,868

Light rail 24 27 28 27 34 34 37 41 43 48 52

Heavy rail 529 522 520 518 522 537 543 558 566 578 595Commuter rail 187 188 188 206 210 217 203 216 242 249 253Demand responsive 74 71 72 77 94 109 108 134 157 167 179

Van pool 8 8 13 16 18 19 25 33 44 49 52Automated guideway 0.6 0.5 1.0 1.0 1.2 1.1 1.4 1.4 1.4 1.4 1.6

Total 2,490 2,478 2,510 2,535 2,581 2,620 2,605 2,702 2,833 2,927 3,002

Rates per 100 million vehicle-milesd

Fatalities

Motor busc 5.5 4.8 5.4 4.7 5.3 4.1 4.9 5.8 5.1 5.0 4.4

Light rail 20.8 40.3 21.2 51.1 29.6 29.0 13.3 7.4 32.3 27.1 42.3Heavy rail 9.6 11.3 6.3 7.1 7.9 8.0 5.9 5.0 3.2 3.6 3.2

Commuter rail 33.6 33.4 22.9 28.6 39.0 25.8 14.8 24.1 27.6 25.7 22.1

Page 186: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transit � 167

Rates per 100 million vehicle-milesd

FatalitiesDemand responsive 0 2.8 0 2.6 2.1 0.9 2.8 1.5 1.3 0.6 2.2Van pool 0 0 0 0 0 0 0 0 0 0 0

Automated guideway 162.0 0 0 0 0 0 0 0 69.0 0 0All modes 8.5 8.7 6.9 7.5 8.7 6.8 5.8 6.8 6.8 6.5 6.1

Injured persons

Motor busc 1,132 1,145 1,218 1,234 1,155 1,227 1,258 1,172 1,132 1,106 1,088

Light rail 1,933 1,735 1,654 1,318 968 1,030 1,815 785 767 889 798Heavy rail 56 59 52 71 59 65 79 60 46 50 71

Commuter rail 45 297 59 102 103 73 105 46 27 22 21Demand responsive 386 282 324 292 425 361 349 372 313 379 485Van pool 208 430 103 363 132 123 101 158 121 75 94

Automated guideway 0 0 0 104 85 0 0 70 69 0 0All modes 804 831 863 871 811 846 881 794 753 742 738

Accidents

Motor busc 3,315 2,678 2,031 1,692 1,631 1,400 1,389 1,338 1,252 1,152 1,184

Light rail 2,906 2,456 2,121 1,639 1,516 897 910 891 758 624 687Heavy rail 27 36 118 128 142 119 64 R50 52 69 61

Commuter rail 93 132 96 101 127 100 99 R75 80 86 106

Demand response 2,177 1,147 928 682 702 591 714 661 423 516 557Van pool 1,052 944 278 744 198 289 314 485 408 263 301

Automated guideway 162 204 102 104 85 87 69 R139 207 0 62

All modes 2,329 1,875 1,450 1,205 1,161 980 966 R919 845 787 809

KEY: R = revised.

a Accident statistics for cable car, inclined plane, jitney, and ferry boat are not available. The number of inci-dents, fatalities, and injuries for these modes appear in the footnotes for table 2-33.

b Accidents include collisions with vehicles, objects, people (except suicides), and derailments/vehicles going off road.

c Motor bus also includes trolley bus.d Rates are based on total incidents including accidents and were calculated by dividing the number of fatali-

ties, injuries, and incidents in this table by the number of vehicle-miles.

NOTESData are provided only for transit systems that furnished safety data for inclusion in the U.S. Department of

Transportation, Federal Transit Administration Transit Safety and Security Statistics and Analysis annual reports. Data covers only direct-operated urban transit systems. Vehicle-miles for all transit systems includ-ing nonurban and purchased can be found in the vehicle-miles table in chapter 1.

Prior to the 2000 edition, Transit Safety and Security Statistics and Analysis Report was entitled Safety Manage-ment Information Statistics (SAMIS) annual report.

SOURCEU.S. Department of Transportation, Federal Transit Administration, 2000 Transit Safety and Security Statistics

and Analysis Report (Cambridge, MA: 2002).

TABLE 2-32: Transit Safety Data by Modea for All Reported Accidentsb (Continued)

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

Page 187: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

168 � Chapter 2: Transportation Safety

TABLE 2-33: Transit Safety Data by Modea for All Reported Incidentsb

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000Fatalities

Motor busc 110 88 99 83 108 82 101 109 109 102 90

Light rail 7 13 9 15 13 15 6 3 23 17 30Heavy rail 117 103 91 83 85 79 74 77 54 84 80

Commuter rail 104 93 74 98 112 92 72 79 94 95 87Demand responsive 0 3 0 2 2 6 11 7 4 1 8Van pool 0 0 0 0 0 0 0 0 0 0 0

Automated guideway 1 0 0 0 0 0 0 0 2 0 0Total 339 300 273 281 320 274 264 275 286 299 295

Injured persons

Motor busc 40,006 38,619 40,090 38,873 42,195 41,297 39,709 39,181 41,035 41,221 40,925

Light rail 1,244 1,251 1,268 982 1,181 1,319 1,604 1,087 1,076 1,271 1,338Heavy rail 10,036 9,285 10,446 10,532 11,673 11,238 11,093 12,285 11,059 9,665 10,848

Commuter rail 2,438 2,308 2,546 1,560 2,374 2,374 1,953 2,388 1,677 1,761 1,783Demand responsive 807 622 713 652 731 935 882 1,121 1,064 1,345 1,736Van pool 21 40 19 59 29 25 27 54 67 41 52

Automated guideway 4 0 7 10 10 8 20 16 12 21 15Total 54,556 52,125 55,089 52,668 58,193 57,196 55,288 56,132 55,990 55,325 56,697

All incidents

Motor busc 70,437 63,453 52,482 45,580 49,185 42,780 40,456 40,524 41,616 41,094 41,677

Light rail 1,465 1,543 1,492 1,136 1,413 1,276 1,350 1,173 1,121 1,182 1,319Heavy rail 12,178 14,102 15,512 15,082 15,869 14,327 13,748 15,151 13,516 12,196 12,782

Commuter rail 3,031 2,716 3,160 2,111 3,115 2,847 2,449 3,078 2,410 2,499 2,072Demand responsive 2,965 1,241 1,137 946 1,062 1,173 1,284 1,454 1,221 1,577 1,871Van pool 84 83 40 121 39 58 80 162 194 135 160

Automated guideway 3 1 8 10 10 10 25 19 16 20 17Total 90,163 83,139 73,831 64,986 70,693 62,471 59,392 61,561 60,094 58,703 59,898

Unlinked passenger trips (millions)d

Motor busc 4,912 4,780 4,728 4,585 4,567 4,539 4,464 4,554 4,712 4,926 4,959

Light rail 174 184 187 187 274 249 259 259 273 289 316

Heavy rail 2,252 2,123 2,119 1,960 2,149 2,034 2,157 2,429 2,393 2,521 2,632Commuter rail 286 274 262 303 318 322 302 311 360 374 388Demand responsive 14 13 13 15 17 18 17 48 22 23 24

Van pool 2 2 3 4 5 5 6 8 9 10 10Automated guideway 6 4 5 5 6 6 6 6 6 5 6

Total 7,646 7,380 7,318 7,059 7,335 7,172 7,211 7,615 7,774 8,149 8,337

Rates per 100 million unlinked passenger trips (millions)e

Fatalities

Motor busc 2.2 1.8 2.1 1.8 2.4 1.8 2.3 2.4 2.3 2.1 1.8

Light rail 4.0 7.1 4.8 8.0 4.7 6.0 2.3 1.2 8.4 5.9 9.5Heavy rail 5.2 4.9 4.3 4.2 4.0 3.9 3.4 3.2 2.3 3.3 3.0

Commuter rail 36.4 33.9 28.3 32.4 35.2 28.6 23.8 25.4 26.1 25.4 22.4Demand responsive 0 22.6 0 13.5 12.0 33.9 65.5 14.6 18.1 4.3 32.8

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Transit � 169

Rates per 100 million unlinked passenger trips (millions)e

FatalitiesVan pool 0 0 0 0 0 0 0 0 0 0 0Automated guideway 17.0 0 0 0 0 0 0 0 32.5 0 0

All modes 4.4 4.1 3.7 4.0 4.4 3.8 3.7 3.6 3.7 3.7 3.5

Injured persons

Motor busc 815 808 848 848 924 910 890 860 871 837 825

Light rail 715 682 677 524 432 529 620 419 394 440 423Heavy rail 446 437 493 537 543 553 514 506 462 383 412Commuter rail 853 843 972 516 747 738 646 769 466 471 459

Demand responsive 5,835 4,678 5,393 4,401 4,390 5,286 5,251 2,336 4,821 5,846 7,113Van pool 1,037 1,721 584 1,398 638 537 R461 701 773 411 524

Automated guideway 68 0 127 194 160 123 317 272 195 389 239All modes 714 706 753 746 793 798 767 737 720 679 680

All incidents

Motor busc 1,434 1,327 1,110 994 1,077 943 906 890 883 834 840

Light rail 842 841 796 606 516 512 522 452 411 410 417Heavy rail 541 664 732 769 738 705 637 624 565 484 486

Commuter rail 1,060 991 1,207 698 980 885 810 991 670 668 533Demand responsive 21,440 9,333 8,600 6,385 6,378 6,632 7,644 3,030 5,532 6,854 7,666Van pool 4,147 3,570 1,229 2,867 858 1,245 R1,366 2,104 2,238 1,353 1,611

Automated guideway 51 28 145 194 160 154 396 323 260 371 271

All modes 1,179 1,126 1,009 921 964 871 824 808 773 720 718

KEY: R = revised.

a The figures for cable car, inclined plane, jitney, and ferry boat are lumped together and appear in this foot-note as follows:

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000Fatalities: 2 1 0 1 0 0 1 0 0 0 0Injuries: 378 327 399 383 616 598 354 357 379 1,091 762Incidents: 186 411 400 411 650 536 301 353 253 1,078 745

b Incidents include accidents (collisions with vehicles, objects, people (except suicides), derailments/vehicles going off road), plus personal casualties, fires, and property damage associated with transit agency revenue vehicles and all transit facilities.

c Motor bus also includes trolley bus.d The number of unlinked passenger trips is equivalent to the number of passengers who board public transit

vehicles. Passengers are counted each time they board a vehicle regardless of how many vehicles are neces-sary for a passenger to get to their destination.

e Rates are based on total incidents including accidents and were calculated by dividing the number of fatali-ties, injuries, and incidents in this table by the number of unlinked passenger trips.

NOTESData are provided only for transit systems that furnished safety data for inclusion in the U.S. Department of

Transportation, Federal Transit Administration Transit Safety and Security Statistics and Analysis annual reports. Data covers only direct-operated urban transit systems. Vehicle-miles for all transit systems includ-ing nonurban and purchased can be found in the vehicle-miles table in chapter 1.

Prior to the 2000 edition, Transit Safety and Security Statistics and Analysis Report was entitled Safety Manage-ment Information Statistics (SAMIS) annual report.

SOURCEU.S. Department of Transportation, Federal Transit Administration, 2000 Transit Safety and Security Statistics

and Analysis Report (Cambridge, MA: 2002).

TABLE 2-33: Transit Safety Data by Modea for All Reported Incidentsb (Continued)

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

Page 189: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

170 � Chapter 2: Transportation Safety

TABLE 2-34: Reports of Violent Crime, Property Crime, and Arrests by Transit Mode

1995 1996 1997 1998 1999 2000Reported offenses, violent crime

Homicidea 19 20 19 51 21 12

Motor bus 8 9 6 40 7 7

Commuter rail 1 1 4 1 3 1Demand responsive 0 0 0 0 0 0Heavy rail 8 9 8 6 11 4

Light rail 2 1 1 4 0 0

Otherb 0 0 0 0 0 0

Forcible rapec 29 38 31 47 27 37

Motor bus 11 13 10 16 14 10Commuter rail 5 4 7 1 3 3Demand responsive 0 0 2 4 1 0

Heavy rail 13 19 8 24 8 20Light rail 0 2 4 2 0 4

Otherb 0 0 0 0 1 0

Robberyd 2,811 4,563 4,760 3,684 3,789 3,480

Motor bus 909 871 870 605 764 916Commuter rail 181 242 187 133 183 144

Demand responsive 1 3 0 1 3 4Heavy rail 1,490 3,164 3,394 2,686 2,588 2,174Light rail 181 238 222 220 200 213

Otherb 49 45 87 39 51 29

Aggravated assaulte 2,701 3,084 3,105 2,314 2,448 2,217

Motor bus 1,941 1,677 1,294 1,186 1,268 1,070

Commuter rail 133 69 92 80 97 58Demand responsive 6 13 13 13 14 16

Heavy rail 437 1,074 1,051 837 903 839Light rail 157 199 143 170 135 208

Otherb 27 52 512 28 31 26

Reported offenses, property crime

Theftf 10,596 13,238 14,486 11,830 12,896 13,393

Motor bus 2,738 3,408 2,920 2,327 2,487 2,548Commuter rail 2,238 2,262 2,345 2,021 1,872 2,139Demand responsive 2 8 40 15 4 19

Heavy rail 4,625 6,794 8,321 6,807 7,789 7,856Light rail 451 609 479 496 530 724

Otherb 542 157 381 164 214 107

Vehicle theftg 2,182 2,261 2,276 2,225 1,876 2,112

Motor bus 263 306 198 208 198 169Commuter rail 253 125 262 470 272 367

Demand responsive 0 1 3 9 28 6Heavy rail 1,536 1,694 1,630 1,234 1,203 1,285Light rail 128 135 179 273 156 279

Otherb 2 0 4 31 19 6

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Transit � 171

Burglaryh 1,759 1,650 1,757 491 415 563

Motor bus 156 104 94 75 86 142Commuter rail 178 177 260 217 170 191

Demand responsive 2 0 4 3 1 6Heavy rail 1,367 1,278 1,343 110 91 82Light rail 43 78 48 70 42 131

Otherb 13 13 8 16 25 11

Arsoni 63 96 75 60 53 50

Motor bus 29 67 33 21 15 24

Commuter rail 14 1 21 10 12 6Demand responsive 0 0 0 0 0 0Heavy rail 14 22 16 27 20 16

Light rail 6 6 5 2 6 4

Otherb 0 0 0 0 0 0

Reported offenses, arrests

Other assaultsj 2,991 3,088 2,697 2,787 2,641 2,799

Motor bus 1,896 1,571 1,439 1,400 1,217 1,159

Commuter rail 144 106 140 122 164 142Demand responsive 4 0 16 3 4 3Heavy rail 645 932 881 898 888 1,085

Light rail 181 330 195 282 269 354

Otherb 121 149 26 82 99 56

Vandalismk 17,228 8,627 9,539 6,571 6,895 7,312

Motor bus 13,343 6,167 5,262 3,656 4,178 4,579Commuter rail 1,071 309 659 778 507 264

Demand responsive 12 17 8 10 16 7Heavy rail 1,157 1,339 1,128 1,067 1,222 1,200Light rail 1,505 609 2,084 947 892 1,215

Otherb 140 186 398 113 80 47

Sex offensesl 664 803 1,047 962 1,009 844

Motor bus 242 260 363 258 321 220

Commuter rail 100 41 82 91 85 84Demand responsive 5 0 6 2 5 1Heavy rail 249 430 517 541 515 477

Light rail 59 71 79 68 80 58

Otherb 9 1 0 2 3 4

Drug abuse violationsm 2,578 3,944 4,355 3,792 4,131 4,083

Motor bus 1,037 2,122 1,970 1,414 1,705 1,443Commuter rail 303 393 477 495 303 196Demand responsive 1 0 15 21 8 1

Heavy rail 1,078 1,130 1,530 1,550 1,606 1,915Light rail 151 298 336 271 501 520

Otherb 8 1 27 41 8 8

Continued next page

TABLE 2-34: Reports of Violent Crime, Property Crime, and Arrests by Transit Mode (Continued)

1995 1996 1997 1998 1999 2000

Page 191: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

172 � Chapter 2: Transportation Safety

Driving under the influencen 466 129 205 176 204 194

Motor bus 91 82 101 101 132 67Commuter rail 26 21 22 21 12 44

Demand responsive 0 0 1 4 0 0Heavy rail 52 8 22 21 42 39Light rail 292 16 31 21 15 33

Otherb 5 2 28 8 3 11

Drunkennesso 10,479 6,921 8,632 12,643 11,487 6,087

Motor bus 6,457 3,936 5,346 3,046 3,609 3,337

Commuter rail 71 23 226 156 112 170Demand responsive 2 2 46 34 2 1Heavy rail 1,511 1,617 1,601 7,340 5,831 1,240

Light rail 2,255 1,305 1,258 1,844 1,913 1,316

Otherb 183 38 155 223 20 23

Disorderly conductp 22,206 26,178 25,325 15,897 15,971 27,314

Motor bus 4,681 5,025 6,978 4,521 5,471 3,745Commuter rail 810 1,085 1,399 1,525 797 706Demand responsive 5 8 47 5 5 6

Heavy rail 15,258 19,183 15,309 8,227 7,856 21,087Light rail 1,164 800 1,177 1,408 1,767 1,737

Otherb 288 77 415 211 75 33

Trespassingq 3,362 3,497 7,444 6,049 3,670 4,303

Motor bus 928 604 1,225 1,283 1,065 1,329Commuter rail 845 674 4,150 2,850 1,080 709

Demand responsive 0 0 2 2 0 0Heavy rail 1,155 1,208 1,398 1,254 1,044 1,267

Light rail 400 653 463 443 436 985

Otherb 34 358 206 217 45 13

Fare evasionr 33,903 47,873 53,406 58,856 55,194 53,863

Motor bus 3,172 2,372 1,819 1,694 2,388 591Commuter rail 140 334 310 204 167 179Demand responsive 1 1 2 5 1 3

Heavy rail 8,247 39,957 46,106 40,350 35,033 28,933Light rail 22,212 1,185 912 12,798 17,320 24,124

Otherb 131 4,024 4,257 3,805 285 33

TABLE 2-34: Reports of Violent Crime, Property Crime, and Arrests by Transit Mode (Continued)

1995 1996 1997 1998 1999 2000

Page 192: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transit � 173

Curfew and loitering lawss 1,878 872 1,960 1,161 3,022 3,630

Motor bus 1,201 241 1,112 291 495 469Commuter rail 19 27 223 72 172 329

Demand responsive 0 1 5 0 0 0Heavy rail 462 493 530 680 1,789 2,324Light rail 161 95 80 106 509 498

Otherb 35 15 10 12 57 10

a The killing of one or more human beings by another. This includes murder, non-negligent manslaughter, and manslaughter by negligence.

b Other transit mode includes automated guideway, cable car, ferryboat, trolleybus, vanpool, monorail, and inclined plane.

c The carnal knowledge of a female forcibly and against her will. This includes assault to rape or attempt to rape.d The taking or attempting to take anything of value from the care, custody, or control of a person or persons

by force or threat of force or violence and/or by putting the victim in fear. The use or threat of force includes firearms, knives or cutting instruments, other dangerous weapons (clubs, acid, explosives), and strong-arm techniques (hands, fists, feet).

e An unlawful attack by one person upon another for the purpose of inflicting severe or aggravated bodily injury. This type of assault usually is accompanied by the use of a weapon or by means likely to produce death or great bodily harm.

f The unlawful taking, carrying, leading, or riding away of property from the possession or constructive pos-session of another. This includes pocket-picking, purse-snatching, shoplifting, thefts from motor vehicles, thefts of motor vehicle parts and accessories, theft of bicycles, theft from buildings, theft from coin-operated devices or machines, and all other theft not specifically classified.

g The theft or attempted theft of a motor vehicle. A motor vehicle is a self-propelled vehicle that runs on the surface of land and not on rails. Examples of motor vehicles are automobiles, trucks, buses, motor cycles, and motor scooters.

h The unlawful entry of a structure to commit a felony or a theft. This includes offenses known locally as bur-glary (any degree), unlawful entry with intent to commit a larceny or felony, breaking and entering with intent to commit a larceny, housebreaking, safe-cracking, and all attempts at these offenses.

i To unlawfully and intentionally damage, or attempt to damage, any real or personal property by fire or incendiary device.

j An unlawful attack or attempt by one person upon another where no weapon was used or which did not result in serious or aggravated injury to the victim. This includes simple assault, minor assault, assault and battery, injury by culpable negligence, intimidation, coercion, hazing, and all attempts to commit these offenses.

k The willful or malicious destruction, injury, disfigurement, or defacement of any public or private property, real or personal, without consent of the owner or person having custody or control by cutting, tearing, break-ing, marking, painting, drawing, covering with filth, or any other such means as may be specified by local law.

l Any sexual acts except forcible rape, prostitution, and commercialized vice. This includes offenses against chastity, common decency, morals, and the like, such as: adultery and fornication, buggery, incest, indecent exposure, indecent liberties, seduction, sodomy or crime against nature, statutory rape (no force), and all attempts to commit any of the above.

m Arrests requested based on the narcotics used. This includes all arrests for violations of state and local laws, specifically those relating to the unlawful possession, sale, use, growing, manufacturing, and making of nar-cotic drugs.

n The driving or operating of any vehicle or common carrier while drunk or under the influence of liquor or narcotics.

o Arrests for all offenses of drunkenness, which is the consumption of alcoholic beverages to the extent that one’s mental faculties and physical coordination are substantially impaired. This includes drunkenness, drunk and disorderly, common or habitual drunkard, and intoxication.

p All charges of committing a breach of the peace. This includes, affray; unlawful assembly; disturbing the peace; disturbing meetings; disorderly conduct in state institutions, at court, at fairs, on trains or public con-veyances, etc.; blasphemy, profanity, and obscene language; desecrating the flag; refusing to assist an officer; and all attempts to commit any of the above.

q To unlawfully enter land, a dwelling, or other real property.r The unlawful use of transit facilities by riding without paying the applicable fare.s All arrests for violations of local curfew or loitering ordinances where such laws exist.

Continued next page

TABLE 2-34: Reports of Violent Crime, Property Crime, and Arrests by Transit Mode (Continued)

1995 1996 1997 1998 1999 2000

Page 193: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

174 � Chapter 2: Transportation Safety

TABLE 2-34: Reports of Violent Crime, Property Crime, and Arrests by Transit Mode (Continued)

NOTESData are from transit agencies in urbanized areas over 200,000 population and include patrons, employees,

and others. The figures for violent and property crime follow the FBI Uniform Crime Reporting Handbook, (Washington,

DC: 1984) and are based on records of calls for service, complaints, and/or investigations. These figures are for reported offenses and do not reflect the findings of a court, coroner, jury, or decision of a prosecu-tor..

Security data was first reported to the Federal Transit Administration in 1995 and were not compiled for ear-lier years.

SOURCE1995: U.S. Department of Transportation, Federal Transit Administration, National Transit Database, Data

Tables, Internet site http://www.fta.dot.gov/fta/library/reference/sec15/1995/htm/ as of May 2, 2000, tables 23-25.

1996-97: Ibid., Internet site http://www.ntdprogram.com/NTD/NTDData.nsf/Data+Tables/OpenView as of May 2, 2000, tables 23-25.

1998: Ibid., tables 24-26.1999: Ibid., tables 25-27.2000: Ibid., Internet site http://www.ntdprogram.com as of July 24, 2002, tables 25-27.

Page 194: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter two

Section ERailroad

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Page 196: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Railroad � 177

TABLE 2-35: Railroad and Grade-Crossing Fatalities by Victim Class

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001Passengers on trains 4 3 3 0 12 6 4 14 4 3Railroad only 4 3 3 0 12 6 2 3 4 3Grade crossing only 0 0 0 0 0 0 2 11 0 0

Employees on duty 97 46 40 34 33 37 27 31 24 22Railroad only 97 44 35 32 32 37 23 29 22 21Grade crossing only 0 2 5 2 1 0 4 2 2 1

Employees not on duty 4 2 0 2 0 0 2 0 1 0Railroad only 3 2 0 2 0 0 2 0 1 0

Grade crossing only 1 0 0 0 0 0 0 0 0 0

Contractor employees b7 b4 b3 7 9 11 5 12 3 4

Railroad only b7 b4 b3 7 9 11 5 11 3 4

Grade crossing only b0 b0 b0 0 0 0 0 1 0 0

Nontrespassersa R,b739 R,b507 R,b551 443 365 363 326 305 335 269

Railroad only R,b16 R,b10 R,b15 32 27 15 9 8 19 11

Grade crossing only R,b723 b497 b536 411 338 348 317 297 316 258

Trespassers 566 474 700 660 620 646 644 570 570 669Railroad only R457 391 543 494 471 533 536 479 463 509

Grade crossing only R109 83 157 166 149 113 108 91 107 160

Volunteer employees N N N N N 0 0 0 0 0Railroad only N N N N N 0 0 0 0 0

Grade crossing only N N N N N 0 0 0 0 0

Railroad only R584 454 599 567 551 602 577 530 512 548

Grade crossing only R833 582 698 579 488 461 431 402 425 419

Motor vehicles R748 521 614 508 415 419 369 345 361 343

Nonmotor vehicles R85 61 84 71 73 42 62 57 64 76

Total 1,417 1,036 1,297 1,146 1,039 1,063 1,008 932 937 967

KEY: N = data do not exist; R = revised.

a Beginning in 1997, nontrespassers off railroad property are also included.b The NTS 2001 report grouped contractor employees and nontrespassers together for 1980-1992. A break-

down of this data is now available and was used to separate the two categories.

NOTES“Railroad only” includes fatalities from train accidents, train incidents, and nontrain incidents (excludes

highway-rail grade crossings). This table includes information for both freight and passenger railroad operations.

SOURCES1980-90: U.S. Department of Transportation, Federal Railroad Administration, Highway-Rail Crossing Acci-

dent/Incident and Inventory Bulletin (Washington, DC: Annual issues), and the Accident/Incident Bulletin (Washington DC: Annual issues).

1995-2001: Ibid. Internet site http://safetydata.fra.dot.gov/OfficeofSafety/Query/Default.asp as of July 25, 2002.

Page 197: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

178 � Chapter 2: Transportation Safety

TABLE 2-36: Railroad and Grade-Crossing Injured Persons by Victim Class

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001Passengers on trains 593 657 473 573 513 601 535 481 658 715Railroad only 569 646 462 543 489 558 516 438 648 689Grade crossing only 24 11 11 30 24 43 19 43 10 19

Employees on duty 56,331 29,822 20,970 10,777 9,199 8,295 8,398 8,622 8,423 7,769Railroad only R56,186 29,667 20,801 10,654 9,120 8,184 8,276 8,482 8,323 7,674

Grade crossing only R145 155 169 123 79 111 122 140 100 95

Employees not on duty 671 419 326 252 228 263 219 216 286 206Railroad only R669 418 324 248 226 260 216 215 283 205

Grade crossing only R2 1 2 4 2 3 3 1 3 1

Contractor employees b74 b110 b242 269 208 334 380 384 368 383

Railroad only b74 b109 b240 268 208 333 379 384 367 380

Grade crossing only b0 b1 b2 1 0 1 1 0 1 3

Nontrespassersa R,b3,849 R,b2,562 R,b2,339 1,869 1,660 1,540 1,236 1,342 1,294 1,189

Railroad only R,b384 R,b285 R,b349 372 431 370 243 335 381 374

Grade crossing only R,b3,465 R,b2,277 R,b1,990 1,497 1,229 1,170 993 1,007 913 815

Trespassers 728 734 793 700 750 728 677 650 606 627Railroad only R474 492 560 461 474 516 513 445 414 405

Grade crossing only R254 242 233 239 276 212 164 205 192 222

Volunteer employees N N N N N 6 14 5 8 4Railroad only N N N N N 6 13 5 8 4Grade crossing only N N N N N 0 1 0 0 0

Railroad only R58,356 31,617 22,736 12,546 10,948 10,227 10,156 10,304 10,424 9,731

Grade crossing only R3,890 2,687 2,407 1,894 1,610 1,540 1,303 1,396 1,219 1,155

Motor vehicles R3,739 2,561 2,332 1,825 1,545 1,494 1,257 1,338 1,169 1,108

Nonmotor vehicles R151 126 75 69 65 46 46 58 50 47

Total 62,246 34,304 25,143 14,440 12,558 11,767 11,459 11,700 11,643 10,886

KEY: N = data do not exist; R = revised.

a Beginning in 1997, nontrespassers off railroad property are also included.b The NTS 2001 report grouped contractor employees and nontrespassers together for 1980-1992. A break-

down of this data is now available and was used to separate the two categories.

NOTES“Railroad only” includes fatalities from train accidents, train incidents, and nontrain incidents (excludes

highway-rail grade crossings). This table includes information for both freight and passenger railroad operations.

SOURCES1980-90: U.S. Department of Transportation, Federal Railroad Administration, Highway-Rail Crossing Acci-

dent/Incident and Inventory Bulletin (Washington, DC: Annual issues), and Accident/Incident Bulletin (Washington, DC: Annual Issues).

1995-2001: Ibid., Internet site http://safetydata.fra.dot.gov/OfficeofSafety/Query/Default.asp as of July 25, 2002.

Page 198: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Railroad � 179

TABLE 2-37: Train Fatalities, Injuries, and Accidents by Type of Accidenta

1980 1985 1990 1995 1996 1997 1998 1999 2000 2001FatalitiesDerailments 8 2 2 2 6 2 1 1 2 1

Collisions 20 6 8 7 16 10 1 7 1 4Other 1 0 0 5 3 6 2 1 7 1

Total 29 8 10 14 25 18 4 9 10 6

InjuriesDerailments 286 197 272 90 98 111 61 41 121 110

Collisions 341 223 139 151 146 55 32 62 89 141Other 38 56 40 53 37 19 36 26 65 52

Total 665 476 451 294 281 185 129 129 275 303

AccidentsDerailments 6,442 2,495 2,146 1,742 1,816 1,741 1,757 1,961 2,112 2,200

Collisions 1,201 366 315 235 205 202 168 205 238 219Other 562 414 418 482 422 454 650 602 633 546

Total 8,205 3,275 2,879 2,459 2,443 2,397 2,575 2,768 2,983 2,965

a Excludes highway-rail grade crossing accidents.

NOTETrain accidents only. This table includes information for both freight and passenger railroad operations.

SOURCES1980-96: U.S. Department of Transportation, Federal Railroad Administration, Highway-Rail Crossing Acci-

dent/Incident and Inventory Bulletin (Washington, DC: Annual issues), tables 1-1, 1-3.1997-98: Ibid., Railroad Safety Statistics Annual Report 1998 (Washington, DC: September 1998), table 1-1,

1-3, 5-6.1999-2001: Ibid., http://safetydata.fra.dot.gov/officeofsafety/Query/Default.asp as of July 30, 2002.

Page 199: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

180 � Chapter 2: Transportation SafetyTA

BLE

2-38

: Rai

lroad

Pas

seng

er S

afet

y Da

ta

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

Pas

sen

ger

fat

alit

ies

38

358

50

126

414

43

Inju

red

per

son

s47

338

241

155

949

757

351

360

153

548

165

871

5Tr

ain

-mile

s, p

asse

ng

er t

rain

s (m

illio

ns)

7274

7475

7576

7778

7882

8488

Fata

litie

s pe

r 10

0 m

illio

n pa

ssen

ger

trai

n-m

iles

411

477

70

168

517

53

Inju

ries

per

100

mill

ion

pass

enge

r tr

ain-

mile

s66

052

056

075

066

075

066

377

068

358

478

181

3

NO

TE

A t

rain

-mile

is t

he m

ovem

ent

of a

tra

in (

whi

ch c

an c

onsi

st o

f m

any

cars

) th

e di

stan

ce o

f 1

mile

. A t

rain

-mile

dif

fers

fro

m a

veh

icle

-mile

, whi

ch is

the

mov

emen

t of

1 c

ar (

vehi

cle)

the

dis

tanc

e of

1 m

ile. A

10-

car

(veh

icle

) tr

ain

trav

elin

g 1

mile

wou

ld b

e m

easu

red

as 1

tra

in-m

ile a

nd 1

0 ve

hicl

e-m

iles.

Cau

tion

sho

uld

be

used

whe

n co

mpa

ring

tra

in-m

iles

to v

ehic

le m

iles.

SOU

RC

ES

Fata

litie

s an

d in

juri

es:

1991

-200

1: U

.S. D

epar

tmen

t of T

rans

port

atio

n, F

eder

al R

ailr

oad

Adm

inis

trat

ion,

Off

ice

of P

olic

y an

d Pr

ogra

m D

evel

opm

ent,

Rai

lroa

d Sa

fety

Sta

tist

ics

Ann

ual

Rep

ort

2001

(W

ashi

ngto

n, D

C: A

ugus

t 20

02),

tab

le 1

-2.

Tra

in-m

iles,

pas

seng

er t

rain

s:19

90-9

6: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

cal

cula

tion

s (s

um o

f al

l com

mut

er r

ail t

rain

-mil

es r

epor

ted

to U

SDO

T, F

ed-

eral

Tra

nsit

Adm

inis

trat

ion,

plu

s A

mtr

ak t

rain

-mile

s).

1997

-200

1: U

.S. D

epar

tmen

t of T

rans

port

atio

n, F

eder

al R

ailr

oad

Adm

inis

trat

ion,

Off

ice

of P

olic

y an

d Pr

ogra

m D

evel

opm

ent,

Rai

lroa

d Sa

fety

Sta

tist

ics

Ann

ual

Rep

ort

2001

(W

ashi

ngto

n, D

C: A

ugus

t 20

02),

tab

le 2

-4.

Page 200: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Railroad � 181

TABL

E 2-

39: R

ailro

ad S

yste

m S

afet

y an

d Pr

oper

ty D

amag

e Da

ta (E

xclu

des

high

way

-rai

l gra

de-c

ross

ing

acci

dent

s)

19

7019

7519

8019

8519

9019

9519

9619

9719

9819

9920

00 2

001

Fata

litie

s78

557

558

445

459

956

755

160

257

753

051

254

8In

jure

d p

erso

ns

d17

,934

50,1

3858

,696

31,6

1722

,736

12,5

4610

,948

10,2

2710

,156

10,3

0410

,424

9,73

9

Acc

iden

tsa

8,09

58,

041

8,20

53,

275

2,87

92,

459

2,44

32,

397

2,57

52,

768

2,98

32,

987

Trai

n-m

iles

(mill

ion

s)b

,c83

975

571

857

160

967

067

167

768

371

272

371

2

Rat

e p

er 1

00 m

illio

n t

rain

-mile

sFa

talit

ies

9476

8180

9885

8289

8474

7177

Inju

ries

N6,

640

8,18

05,

540

3,74

01,

870

1,63

01,

511

1,48

71,

446

1,44

21,

368

Acc

iden

tsR

965

R1,

065

R1,

143

R57

4R

473

R36

7R

364

354

377

389

413

420

Pro

per

ty d

amag

e (c

urr

ent

$ m

illio

ns)

121.

617

7.4

267.

417

9.3

198.

718

9.2

212.

321

0.7

233.

924

5.1

263.

231

1.9

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

.

aT

rain

acc

iden

ts o

nly;

exc

lude

s hi

ghw

ay-r

ail g

rade

-cro

ssin

g ac

cide

nts.

bT

rain

-mile

s in

thi

s ta

ble

diff

er fr

om t

rain

-mile

s in

the

vehi

cle-

mile

s ta

ble

in C

hapt

er 1

. Tra

in-m

iles

repo

rted

in C

hapt

er 1

incl

ude

only

Cla

ss I

rail

(see

glo

ssar

y fo

r de

fini

tion

), w

hile

thi

s ta

ble

incl

udes

Cla

ss I

rail,

Gro

up II

rai

l, an

d ot

her

rail.

For

exa

mpl

e, in

199

9 G

roup

II r

ail a

ccou

nted

for

75

mill

ion

trai

n-m

iles,

and

ot

her

rail

for

25 m

illio

n tr

ain-

mile

s. M

oreo

ver,

the

vehi

cle-

mile

s ta

ble

in C

hapt

er 1

incl

udes

onl

y tr

ain-

mile

s be

twee

n te

rmin

als

and/

or s

tati

ons,

thu

s ex

clud

-in

g ya

rd a

nd s

wit

chin

g m

iles.

In

1999

, Cla

ss I

yar

d/sw

itch

ing

trai

n-m

iles

tota

led

70 m

illio

n tr

ain-

mile

s. N

ote

that

com

mut

er r

ail s

afet

y da

ta a

re r

epor

ted

in

the

rail

mod

e an

d th

e tr

ansi

t m

ode.

Com

mut

er r

ail t

rain

-mile

s ar

e in

clud

ed in

Cla

ss I

rai

l and

Gro

up I

I ra

il in

thi

s ta

ble.

cA

tra

in-m

ile is

the

mov

emen

t of

a t

rain

(w

hich

can

con

sist

of

man

y ca

rs)

the

dist

ance

of

1 m

ile. A

tra

in-m

ile d

iffe

rs f

rom

a v

ehic

le-m

ile, w

hich

is t

he m

ove-

men

t of

1 c

ar (

vehi

cle)

the

dis

tanc

e of

1 m

ile. A

10-

car

(veh

icle

) tr

ain

trav

elin

g 1

mile

wou

ld b

e m

easu

red

as 1

tra

in-m

ile a

nd 1

0 ve

hicl

e-m

iles.

Cau

tion

sh

ould

be

used

whe

n co

mpa

ring

tra

in-m

iles

to v

ehic

le-m

iles

d19

70 in

juri

es n

ot c

ompa

rabl

e to

late

r ye

ars

due

to c

hang

e in

rep

orti

ng s

yste

m.

NO

TE

Thi

s ta

ble

incl

udes

info

rmat

ion

for

both

fre

ight

and

pas

seng

er r

ailr

oad

oper

atio

ns.

SOU

RC

ES

Fata

litie

s, in

juri

es, a

ccid

ents

, and

pro

pert

y da

mag

e:

1970

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al R

ailr

oad

Adm

inis

trat

ion,

Off

ice

of P

olic

y an

d Pr

ogra

m D

evel

opm

ent,

Acc

iden

t/In

cide

nt B

ulle

tin

(Was

h-in

gton

, DC

: ann

ual i

ssue

s), t

able

s 14

and

15.

1995

-200

1: I

bid.

, Rai

lroa

d Sa

fety

Sta

tist

ics

Ann

ual R

epor

t 20

00 (

Was

hing

ton,

DC

: Jul

y 20

01),

tab

les

1-1

and

3-1.

Tra

in-m

iles:

19

70-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Tra

nsit

Adm

inis

trat

ion,

Nat

iona

l Tra

nsit

Dat

abas

e (W

ashi

ngto

n, D

C: a

nnua

l iss

ues)

, for

m 4

06.

1995

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Rai

lroa

d A

dmin

istr

atio

n, In

tern

et s

ite

http

://sa

fety

data

.fra

.dot

.gov

/Off

iceo

fSaf

ety/

Form

s/D

efau

lt.a

sp a

s of

Aug

. 22,

200

2.20

01: I

bid.

, Rai

lroa

d Sa

fety

Sta

tist

ics

Ann

ual R

epor

t 20

01 (

Was

hing

ton,

DC

: Aug

ust

2002

), t

able

2-4

.

Page 201: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

182 � Chapter 2: Transportation SafetyTA

BLE

2-40

: Fat

aliti

es a

nd In

jurie

s of

On-

Duty

Rai

lroad

Em

ploy

ees

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

Em

plo

yee

fata

litie

sA

ccid

ents

/inci

den

ts, t

ota

l40

3534

4731

3433

3727

3124

22G

rade

-cro

ssin

g ac

cide

nts

and

inci

dent

s5

12

31

21

04

22

1Tr

ain

acci

dent

s an

d in

cide

nts

only

(gra

de-c

ross

ing

excl

uded

)35

3432

4430

3232

3723

2922

21

Em

plo

yees

inju

red

Acc

iden

ts/in

cid

ents

, to

tal

20,9

7019

,626

17,7

5515

,363

13,0

8010

,777

9,19

98,

295

8,39

88,

622

8,42

37,

771

Gra

de-c

ross

ing

acci

dent

s an

d in

cide

nts

169

147

157

143

126

123

7911

112

214

010

096

Trai

n ac

cide

nts

and

inci

dent

s on

ly (g

rade

-cro

ssin

g ex

clud

ed)

20,8

0119

,479

17,5

9815

,220

12,9

5410

,654

9,12

08,

184

8,27

68,

482

8,32

37,

675

Em

plo

yee

ho

urs

(m

illio

ns)

553.

653

0.7

517.

051

9.7

518.

651

0.3

504.

650

3.9

514.

951

0.0

490.

947

5.4

Fata

lity

rate

s pe

r m

illio

n em

ploy

ee h

ours

All

acci

dent

s/in

cide

nts

0.07

0.07

0.07

0.09

0.06

0.07

0.07

0.07

0.05

0.06

0.05

0.05

Gra

de-c

ross

ing

acci

dent

s an

d in

cide

nts

0.01

<0.

01<

0.01

0.01

<0.

01<

0.01

<0.0

1<

0.01

0.01

<0.0

1<

0.01

<0.

01Tr

ain

acci

dent

s an

d in

cide

nts

only

(gra

de-c

ross

ing

excl

uded

)0.

060.

060.

060.

080.

060.

060.

060.

070.

040.

060.

040.

04In

jury

rat

es p

er m

illio

n em

ploy

ee h

ours

All

acci

dent

s/in

cide

nts

37.9

37.0

34.3

29.6

25.2

21.1

18.2

16.5

16.3

16.9

17.2

16.3

Gra

de-c

ross

ing

acci

dent

s an

d in

cide

nts

0.3

0.3

0.3

0.3

0.2

0.2

0.2

0.2

0.2

0.3

0.2

0.2

Trai

n ac

cide

nts

and

inci

dent

s on

ly (g

rade

-cro

ssin

g ex

clud

ed)

37.6

36.7

34.0

29.3

25.0

20.9

18.1

16.2

16.1

16.6

17.0

16.1

Page 202: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Railroad � 183

Trai

n-m

iles

(mill

ion

s)a,

b60

957

759

461

465

567

067

167

768

371

272

371

2

Fata

lity

rate

s pe

r m

illio

n tr

ain-

mile

sA

ll ac

cide

nts/

inci

dent

s0.

070.

060.

060.

080.

050.

050.

050.

050.

040.

040.

030.

03

Gra

de-c

ross

ing

acci

dent

s an

d in

cide

nts

0.01

<0.

01<

0.01

<0.

01<

0.01

<0.

01<0

.01

<0.

010.

01<0

.01

<0.

01<

0.01

Trai

n ac

cide

nts

and

inci

dent

s on

ly (g

rade

-cro

ssin

g ex

clud

ed)

0.06

0.06

0.05

0.07

0.05

0.05

0.05

0.05

0.03

0.04

0.03

0.03

Inju

ry r

ates

per

mill

ion

trai

n-m

iles

All

acci

dent

s/in

cide

nts

34.4

34.0

29.9

25.0

20.0

16.1

13.7

12.3

12.3

12.1

11.7

10.9

Gra

de-c

ross

ing

acci

dent

s an

d in

cide

nts

0.3

0.3

0.3

0.2

0.2

0.2

0.1

0.2

0.2

0.2

0.1

0.1

Trai

n ac

cide

nts

and

inci

dent

s on

ly (g

rade

-cro

ssin

g ex

clud

ed)

34.2

33.8

29.6

24.8

19.8

15.9

13.6

12.1

12.1

11.9

11.5

10.8

aT

rain

-mile

s in

thi

s ta

ble

diff

er f

rom

tra

in-m

iles

in t

he v

ehic

le-m

iles

tabl

e in

Cha

pter

1. T

rain

-mile

s re

port

ed in

Cha

pter

1 in

clud

e on

ly C

lass

I r

ail (

see

glos

sary

fo

r de

fini

tion

), w

hile

thi

s ta

ble

incl

udes

Cla

ss I

rai

l, G

roup

II

rail,

and

oth

er r

ail.

In 1

999,

Gro

up I

I ra

il ac

coun

ted

for

75 m

illio

n tr

ain-

mile

s, a

nd o

ther

rai

l for

25

mill

ion

trai

n-m

iles.

Mor

eove

r, th

e ve

hicl

e-m

iles

tabl

e in

Cha

pter

1 in

clud

es o

nly

trai

n-m

iles

betw

een

term

inal

s an

d/or

sta

tion

s, t

hus

excl

udin

g ya

rd a

nd

swit

chin

g m

iles.

In

1999

, Cla

ss I

yar

d/sw

itch

ing

trai

n m

iles

tota

led

70 m

illio

n tr

ain-

mile

s. N

ote

that

com

mut

er r

ail s

afet

y da

ta a

re r

epor

ted

in t

he r

ail m

ode

and

in t

he t

rans

it m

ode.

Com

mut

er r

ail t

rain

-mile

s ar

e in

clud

ed in

Cla

ss I

rai

l and

Gro

up I

I ra

il in

thi

s ta

ble.

b

A tr

ain-

mile

is t

he m

ovem

ent o

f a

trai

n (w

hich

can

con

sist

of m

any

cars

) the

dis

tanc

e of

1 m

ile. A

trai

n-m

ile d

iffe

rs f

rom

a v

ehic

le-m

ile, w

hich

is th

e m

ovem

ent

of 1

car

(ve

hicl

e) t

he d

ista

nce

of 1

mile

. A 1

0-ca

r (v

ehic

le)

trai

n tr

avel

ing

1 m

ile w

ould

be

mea

sure

d as

1 t

rain

-mile

and

10

vehi

cle-

mile

s.C

auti

on s

houl

d be

us

ed w

hen

com

pari

ng t

rain

-mile

s to

veh

icle

mile

s.

NO

TE

Thi

s ta

ble

incl

udes

info

rmat

ion

for

both

fre

ight

and

pas

seng

er r

ailr

oad

oper

atio

ns.

SOU

RC

ES

1990

-95:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al R

ailr

oad

Adm

inis

trat

ion,

Hig

hway

-Rai

l Cro

ssin

g A

ccid

ent/

Inci

dent

and

Inv

ento

ry B

ulle

tin

(Was

hing

ton,

D

C: a

nnua

l iss

ues)

.19

96-2

001:

Ibi

d., R

ailr

oad

Safe

ty S

tati

stic

s A

nnua

l Rep

ort

(Was

hing

ton,

DC

: ann

ual i

ssue

s), t

able

s 1-

3, 2

-4, a

nd 3

-1.

TABL

E 2-

40: F

atal

ities

and

Inju

ries

of O

n-Du

ty R

ailro

ad E

mpl

oyee

s (C

ontin

ued)

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

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Page 204: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter two

Section FWater

Page 205: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 206: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Water � 187

TABLE 2-41: Waterborne Transportation Safety and Property Damage Data Related to Vessel Casualties

1970 1975 1980 1985 1990 R1995 R1996 R1997 R1998 R1999 2000

Fatalitiesa 178 243 206 131 85 51 52 50 71 57 32

Injuried persons 105 97 180 172 175 145 223 121 135 131 125

Accidentsb 2,582 3,310 4,624 3,439 3,613 4,298 4,264 4,198 4,374 4,036 3,791

Vesselsc 4,063 5,685 7,694 5,694 5,494 6,724 6,694 6,464 6,400 5,732 5,400

Property damage (current $ millions) U U U U U 157.8 190.1 156.4 223.3 155.2 146.9

KEY: R = revised; U = data are not available.

a Fatalities include the number of people who died or were declared missing subsequent to a marine accident.b Accidents in this table include the number of “marine casualty cases” reported to the U.S. Coast Guard in

accordance with 46 U.S.C. 4.05.c More than one vessel may be involved in a marine accident.

NOTES All deaths and injuries cited result from vessel casualties, such as groundings, collisions, fires, or explosions.

The data are for all commercial vessels under U.S. jurisdiction, including U.S. flag vessels anywhere in the world and foreign flag vessels within the jurisdiction of the United States (within 12 miles, or having an interaction with a U.S. entity, such as a platform within 200 miles, or a collision with a U.S. ship). Includes commercial fishing vessels.

1995-2000 data come from the Marine Safety Management Information System. Data for prior years may not be directly comparable.

SOURCEU.S. Department of Transportation, U.S. Coast Guard, Data Administration Division (G-MRI-1), personal

communication, May 15, 2002.

Page 207: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

188 � Chapter 2: Transportation Safety

TABLE 2-42: Waterborne Transportation Safety Data Not Related to Vessel Casualties

1970 1975 1980 1985 1990 R1995 R1996 R1997 R1998 R1999 2000

Fatalitiesa 420 330 281 130 101 95 95 88 95 86 87

Injuries U U U U U 1,833 1,327 1,037 540 500 564

Vesselsb U 321 274 128 98 1,941 1,434 1,135 647 593 658

KEY: R = revised; U = data are not available.

a Fatalities include people who were declared missing.b Figures represent the number of vessels involved in nonvessel casualties. These vessels were not part of the

accident, but the accident may have occurred on the vessel (e.g., crewmembers swept overboard by a wave).

NOTES Figures reflect the number of deaths and injuries to people on commercial vessels not resulting from a casualty

to the vessel. These injuries and fatalities result from such incidents as slips, falls, or electrocutions. Deaths and injuries from disease, homocides, suicides, fights, and diving accidents have been excluded. The data reflect deaths and injuries to people on both U.S. and foreign flag vessels within the jurisdiction of the United States (within 12 miles of U.S. coast) and on U.S. flag vessels anywhere in the world. 1992-2000 data come from the Marine Safety Management Information System. Data for prior years may not be directly comparable.

SOURCE U.S. Department of Transportation, U.S. Coast Guard, Data Administration Division (G-MRI-1), personal

communication, Dec. 12, 2001.

Page 208: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Water � 189

TABL

E 2-

43: R

ecre

atio

nal B

oatin

g Sa

fety

, Alc

ohol

Invo

lvem

ent,

and

Prop

erty

Dam

age

Data

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Fata

litie

s73

91,

360

1,41

81,

466

1,36

01,

116

865

829

709

821

815

734

b70

1In

juri

es92

992

778

02,

136

2,65

02,

757

3,82

24,

141

4,44

24,

555

4,61

24,

315

4,35

5A

ccid

ents

2,73

83,

752

3,80

36,

308

5,51

36,

237

6,41

18,

019

8,02

68,

047

8,06

17,

931

7,74

0V

esse

ls in

volv

eda 3

,562

a 4,7

784,

762

8,00

26,

954

8,30

58,

591

11,5

3411

,306

11,3

9611

,368

11,1

9010

,984

Nu

mb

ered

bo

ats

(th

ou

san

ds)

E2,

500

R4,

138

R5,

128

7,30

38,

577

9,58

910

,996

11,7

3411

,877

12,3

1212

,565

12,7

3812

,782

Rat

es p

er 1

00,0

00 n

um

ber

ed b

oat

sFa

talit

ies

32.8

R32

.9R

27.7

20.1

R15

.911

.6R

7.9

7.1

R6.

06.

76.

55.

85.

5

Inju

ries

37.1

R22

.4R

15.2

R29

.2R

30.9

R28

.8R

34.8

R35

.3R

37.4

37.0

R36

.733

.9R

34.1

Acc

iden

ts10

9.5

R90

.7R

74.2

86.4

R64

.365

.058

.3R

68.3

R67

.665

.4R

64.2

62.3

R60

.6A

ccid

ent r

epo

rts

citin

g al

coho

l inv

olv

emen

tN

NN

NN

279

568

472

601

698

704

633

696

Pro

per

ty d

amag

e (c

urr

ent

$ m

illio

ns)

3.2

4.7

8.2

10.4

16.4

20.0

23.8

a 21.

523

.229

.031

.028

.934

.7

KE

Y: E

= e

stim

ate;

N =

dat

a do

not

exi

st; R

= r

evis

ed.

aU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

U.S

. Coa

st G

uard

(C

G),

Off

ice

of B

oati

ng S

afet

y, p

erso

nal c

omm

unic

atio

n, M

ay 1

5, 2

002.

bT

he n

umbe

rs f

or r

ecre

atio

nal b

oati

ng s

afet

y fa

talit

ies

are

raw

num

bers

—C

G r

epor

ts a

6%

add

itio

n as

inst

ruct

ed b

y th

e D

OT

Ins

pect

or G

ener

al b

ecau

se it

fo

und

a di

scre

panc

y in

a r

evie

w o

f th

e Se

arch

and

Res

cue

Man

agem

ent

Info

rmat

ion

Syst

em (

SAR

MIS

) an

d B

AR

D d

ata.

(Se

e th

e di

scus

sion

fou

nd in

the

DO

T

FY20

03 P

erfo

rman

ce P

lan/

Rep

ort

on p

g. 1

35 u

nder

dat

a de

tails

of

recr

eati

onal

boa

ting

fat

alit

ies)

.

NO

TE

Onl

y a

smal

l fra

ctio

n of

pro

pert

y da

mag

es a

nd n

onfa

tal a

ccid

ents

are

rep

orte

d to

the

U.S

. Coa

st G

uard

.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

U.S

. Coa

st G

uard

, Off

ice

of B

oati

ng S

afet

y, B

oati

ng S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

and

per

sona

l com

mun

icat

ion.

Page 209: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

190 � Chapter 2: Transportation Safety

TABLE 2-44: Personal Watercraft Safety Data

1990 1995 1996 1997 1998 1999 2000 2001Fatalities 28 68 57 84 78 66 68 U

Injured persons 532 1,617 1,837 1,812 1,743 1,614 1,580 U

Accidentsa 1,162 3,986 4,099 4,070 3,607 3,374 3,268 U

Sales 72,000 200,000 191,000 176,000 130,000 106,000 92,000 83,000Number in use 241,376 760,000 900,000 1,000,000 1,100,000 1,096,000 1,078,400 1,053,560

KEY: U = data are not available.

a Total vessels involved

NOTESPersonal watercraft are less than 13 feet in length and are designed to be operated by a person or persons sitting,

standing, or kneeling on the craft rather than within the confines of the hull.Data on personal watercraft sales and number in use are estimates.

SOURCES Fatalities, injuries, and accidents: U.S. Department of Transportation, United States Coast Guard, Office of Boating Safety, Boating Statistics -

2000 (Washington, DC: 2001), Internet site http://www.uscgboating.org/saf/pdf/Boating_Statistics_2000.pdf as of Feb. 25, 2001.

Sales: 1990: Personal Watercraft Industry Association, Internet site http://www.pwia.org/ Abo_PWC.htm as of June

19, 2000.1995-2001: Ibid., Internet site http://www.nmma.org/facts/boatingstats/2001/Files/ unitsales.asp as of Sept. 10, 2002.

Use: 1990-96: National Marine Manufacturers Association, data compiled by the United States Coast Guard, per-

sonal communications.1997-98: Ibid., Internet site http://www.nmma.org/facts/boatingstats/statistic98.html as of June 19, 2000.1999-2001: Ibid., Internet site http://www.nmma.org/facts/boatingstats/2001/files/populationestimates.asp as of

Sept. 10, 2002.

Page 210: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Water � 191

TABLE 2-45: U.S. Coast Guard Search and Rescue Statistics, Fiscal Year

1985 1990 1995 1996 1997 1998 1999 2000 2001Cases 60,775 53,097 49,704 43,553 41,096 37,218 39,844 40,214 39,475

Responsesa 70,237 64,971 63,679 55,710 52,141 46,602 50,622 48,226 49,344

Sortiesa 88,449 84,033 110,267 98,423 91,722 83,307 89,635 57,697 58,854

Search and Rescue resource hoursb U 108,282 93,984 85,150 80,507 80,116 84,635 80,533 85,008

Lives saved 6,497 4,407 4,453 5,047 3,897 3,194 3,743 3,400 4,009

Lives lost before notificationc 259 622 468 611 454 418 353 f779 413

Lives lost after notificationd 1,076 463 304 367 290 188 180 239 297

Total lives lost 1,335 1,085 772 978 744 606 533 1,018 710

Persons otherwise assisted 138,791 117,327 101,357 85,869 75,357 66,138 70,255 54,866 65,158

Value of property lost ($ million)e 424.3 368.5 222.6 273.8 414.8 84.3 262.3 415.2 441.0

Value of property assisted ($ million) 2,376.8 2,044.9 4,467.2 3,494.2 1,762.1 1,288.2 1,235.0 778.8 1,501.0

Property loss prevented ($ million) 905.4 1,673.4 3,882.8 3,087.3 1,353.5 996.8 1,019.0 84.3 73.0

KEY: U = data are not available.

a Responses are the number of U.S. Coast Guard units involved. Sorties are the number of trips made by boat, aircraft, or cutter.

b Search and Rescue resource hours represent the time that Coast Guard assets (i.e., aircraft, boats, and cut-ters) perform Search and Rescue operations.

c Those persons whose lives were lost before the U.S. Coast Guard was notified of an incident.d Those persons whose lives were lost in an incident to which the U.S. Coast Guard was responding, but who

were alive at the time the U.S. Coast Guard was notified of the incident. e Includes several out of the normal high cost incidents.f The Egypt Air (217 fatalities) and Alaska Air (88 fatalities) crashes account for the increase.

SOURCES All data except Search and Rescue resource hours:1985-2001: U.S. Department of Transportation, U.S. Coast Guard, Search and Rescue Management Informa-

tion Systems (SARMIS II) Database, available at http://www.uscg.mil/hq/g-o/g-opr/92-01summary.htm as of Aug. 8, 2002.

Search and Rescue resource hours:1990-2001: U.S. Department of Transportation, U.S. Coast Guard, Office of Command and Control Architec-

ture, personal communication, Aug. 21, 2002.

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chapter two

Section GPipeline

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Pipeline � 195

TABLE 2-46: Hazardous Liquid and Natural Gas Pipeline Safety

1970 1975 1980 1985 1990 1995 1996 1997 1998 1999 2000 2001FatalitiesTotal hazardous liquid 4 7 4 5 3 3 5 0 2 4 1 0Total gas 26 8 15 28 6 18 48 10 18 21 37 7

Transmission U U 1 6 0 2 1 1 1 2 15 2

Distribution U U 14 22 6 16 47 9 17 19 22 5

Injured personsTotal hazardous liquid 21 17 15 18 7 11 13 5 6 20 4 10Total gas 233 214 177 108 69 53 114 72 76 93 77 46

Transmission U U 13 12 17 10 5 5 11 8 18 3

Distribution U U 164 96 52 43 109 67 65 85 59 43

IncidentsTotal hazardous liquid 351 254 246 183 180 188 194 171 153 168 147 129Total gas 1,077 1,338 1,524 334 198 161 187 175 236 173 234 207

Transmission U U 389 129 89 64 77 73 99 54 80 85

Distribution U U 1,135 205 109 97 110 102 137 119 154 122

Property damage (current $ millions)

Total hazardous liquid 1.2 2.2 5.7 5.1 15.7 32.5 81.4 42.8 62.9 87.1 R179.5 25.3

Total gas 3.3 5.0 10.0 22.9 18.9 R20.9 R29.3 24.6 R63.5 43.6 41.3 37.2

Transmission U U 8.8 13.4 11.3 10.0 13.1 12.1 R44.5 17.7 17.9 23.1

Distribution U U 1.2 9.5 7.6 11.0 16.3 12.5 19.1 25.9 23.4 14.1

KEY: R = revised; U = data are not available.

NOTESBeginning with 1985 data, pipeline incidents are credited to the year in which they occurred, not the year in

which the report was received. Gas numbers represent sum of transmission and gathering and distribution operators.

Property damage includes, but is not limited to, damage to the operator’s facilities and to the property of oth-ers; gas lost; restoration of service and relighting; facility repair and replacement; leak locating; right-of-way cleanup; and environmental cleanup and damage.

Numbers for property damage may not add due to rounding.

SOURCES1970-85: U.S. Department of Transportation, Research and Special Programs Administration, Office of Pipe-

line Safety, personal communication, 1999.1990-2001: Ibid., Internet site http://ops.dot.gov/stats.htm as of Nov. 15, 2002.

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Chapter 3Transportation and

the Economy

Section ATransportation and the

Total Economy

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Transportation and the Total Economy � 199

TABL

E 3-

1a: U

.S. G

ross

Dom

estic

Pro

duct

(GDP

) Attr

ibut

ed to

For

-Hire

Tra

nspo

rtatio

n Se

rvic

es (C

urre

nt $

bill

ions

)

19

9019

9119

9219

9319

9419

9519

9619

9719

9819

9920

00TO

TAL

U.S

. GD

P5,

803.

25,

986.

26,

318.

96,

642.

37,

054.

37,

400.

57,

813.

28,

318.

48,

781.

59,

268.

69,

872.

9

Fo

r-h

ire

tran

spo

rtat

ion

ser

vice

s G

DP

Truc

king

and

war

ehou

sing

69.4

70.9

74.5

79.2

86.4

89.0

92.1

99.4

114.

112

2.0

126.

0A

ir45

.347

.050

.356

.462

.567

.770

.878

.685

.890

.293

.0R

ailro

ad19

.822

.021

.622

.023

.323

.623

.423

.024

.323

.222

.9

Tran

spor

tatio

n se

rvic

esa

18.2

19.5

19.9

20.8

22.6

23.5

25.7

27.1

28.0

29.9

32.3

Loca

l and

inte

rurb

an p

asse

nger

tran

sit

9.1

10.2

10.9

11.3

11.6

12.4

13.4

14.9

16.8

17.6

18.7

Wat

er10

.011

.110

.710

.711

.511

.612

.213

.113

.613

.714

.8P

ipel

ines

, exc

ept n

atur

al g

as5.

55.

55.

55.

65.

55.

55.

75.

86.

16.

16.

2To

tal

177.

418

6.1

193.

420

6.0

223.

223

3.4

243.

426

1.8

288.

730

2.7

313.

9

Per

cen

t o

f U

.S. G

DP

Truc

king

and

war

ehou

sing

1.2

1.2

1.2

1.2

1.2

1.2

1.2

1.2

1.3

1.3

1.3

Air

0.8

0.8

0.8

0.8

0.9

0.9

0.9

0.9

1.0

1.0

0.9

Rai

lroad

0.3

0.4

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.2

Tran

spor

tatio

n se

rvic

esa

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

Loca

l and

inte

rurb

an p

asse

nger

tran

sit

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

Wat

er tr

ansp

orta

tion

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.1

0.2

Pip

elin

es, e

xcep

t nat

ural

gas

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

0.1

Tota

l3.

13.

13.

13.

13.

23.

23.

13.

13.

33.

33.

2

Per

cen

t o

f fo

r-h

ire

tran

spo

rtat

ion

ser

vice

s G

DP

Truc

king

and

war

ehou

sing

39.1

38.1

38.5

38.4

38.7

38.1

37.8

38.0

39.5

40.3

40.1

Air

25.5

25.3

26.0

27.4

28.0

29.0

29.1

30.0

29.7

29.8

29.6

Rai

lroad

11.2

11.8

11.2

10.7

10.4

10.1

9.6

8.8

8.4

7.7

7.3

Tran

spor

tatio

n se

rvic

esa

10.3

10.5

10.3

10.1

10.1

10.1

10.6

10.4

9.7

9.9

10.3

Loca

l and

inte

rurb

an p

asse

nger

tran

sit

5.1

5.5

5.6

5.5

5.2

5.3

5.5

5.7

5.8

5.8

6.0

Wat

er tr

ansp

orta

tion

5.6

6.0

5.5

5.2

5.2

5.0

5.0

5.0

4.7

4.5

4.7

Pip

elin

es, e

xcep

t nat

ural

gas

3.1

3.0

2.8

2.7

2.5

2.4

2.3

2.2

2.1

2.0

2.0

Tota

l10

0.0

100.

010

0.0

100.

010

0.0

100.

010

0.0

100.

010

0.0

100.

010

0.0

aD

efin

ed a

s se

rvic

es in

cide

ntal

to

tran

spor

tati

on s

uch

as f

orw

ardi

ng a

nd p

acki

ng a

nd a

rran

ging

pas

seng

er t

rave

l and

fre

ight

tra

nspo

rtat

ion.

NO

TE

SPe

rcen

tage

s ba

sed

on t

he r

evis

ed e

stim

ates

hav

e be

en r

ecal

cula

ted

but

may

app

ear

unch

ange

d du

e to

the

num

ber

of s

igni

fica

nt d

igit

s sh

own.

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

1990

-199

5: U

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

Eco

nom

ic A

naly

sis,

Sur

vey

of C

urre

nt B

usin

ess

(Was

hing

ton,

DC

, Jun

e 20

00),

pp.

41-

42.

1996

: Ibi

d. (

Was

hing

ton,

DC

, Dec

embe

r 20

00),

p. 2

9.19

97-2

000:

Ibi

d. (

Was

hing

ton,

DC

, Nov

embe

r 20

01),

p. 2

6.

Page 219: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

200 � Chapter 3: Transportation and the EconomyTA

BLE

3-1b

: U.S

. Gro

ss D

omes

tic P

rodu

ct (G

DP) A

ttrib

uted

to F

or-H

ire T

rans

porta

tion

Serv

ices

(Cha

ined

199

6 $

billi

ons)

19

9019

9119

9219

9319

9419

9519

9619

9719

9819

9920

00TO

TAL

U.S

. GD

P6,

707.

96,

676.

46,

880.

07,

062.

67,

347.

77,

543.

87,

813.

28,

159.

58,

508.

98,

856.

59,

224.

0

Fo

r-h

ire

tran

spo

rtat

ion

ser

vice

s G

DP

Truc

king

and

war

ehou

sing

68.1

71.6

75.7

79.1

85.3

86.6

92.1

90.5

95.5

100.

310

5.7

Air

46.9

45.0

49.2

51.9

59.6

62.9

70.8

75.2

76.8

80.9

85.0

Rai

lroad

18.1

20.9

20.8

21.0

22.1

22.7

23.4

22.8

22.8

22.5

23.2

Tran

spor

tatio

n se

rvic

esa

19.5

19.8

19.6

20.4

22.1

23.4

25.7

26.4

27.8

29.8

30.6

Loca

l and

inte

rurb

an p

asse

nger

tran

sit

12.8

12.5

12.4

12.7

12.8

13.2

13.4

14.7

15.5

16.6

18.2

Wat

er10

.210

.510

.310

.511

.311

.312

.213

.213

.211

.811

.7P

ipel

ines

, exc

ept n

atur

al g

as5.

76.

25.

96.

05.

55.

05.

76.

26.

46.

46.

4To

tal

180.

618

5.9

193.

620

1.2

218.

622

5.1

243.

424

8.9

257.

926

8.6

281.

1

Per

cen

t o

f U

.S. G

DP

Truc

king

and

war

ehou

sing

1.0

1.1

1.1

1.1

1.2

1.1

1.2

1.1

1.1

1.1

1.1

Air

0.7

0.7

0.7

0.7

0.8

0.8

0.9

0.9

0.9

0.9

0.9

Rai

lroad

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

Tran

spor

tatio

n se

rvic

esa

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

0.3

Loca

l and

inte

rurb

an p

asse

nger

tran

sit

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

0.2

Wat

er0.

20.

20.

10.

10.

20.

10.

20.

20.

20.

10.

1P

ipel

ines

, exc

ept n

atur

al g

as0.

10.

10.

10.

10.

10.

10.

10.

10.

10.

10.

1To

tal

2.7

2.8

2.8

2.8

3.0

3.0

3.1

3.1

3.0

3.0

3.0

Per

cen

t o

f fo

r-h

ire

tran

spo

rtat

ion

ser

vice

s G

DP

Truc

king

and

war

ehou

sing

37.7

38.5

39.1

39.3

39.0

38.5

37.8

36.4

37.0

37.3

37.6

Air

26.0

24.2

25.4

25.8

27.3

27.9

29.1

30.2

29.8

30.1

30.2

Rai

lroad

10.0

11.2

10.7

10.4

10.1

10.1

9.6

9.2

8.8

8.4

8.3

Tran

spor

tatio

n se

rvic

esa

10.8

10.7

10.1

10.1

10.1

10.4

10.6

10.6

10.8

11.1

10.9

Loca

l and

inte

rurb

an p

asse

nger

tran

sit

7.1

6.7

6.4

6.3

5.9

5.9

5.5

5.9

6.0

6.2

6.5

Wat

er5.

65.

65.

35.

25.

25.

05.

05.

35.

14.

44.

2P

ipel

ines

, exc

ept n

atur

al g

as3.

23.

33.

03.

02.

52.

22.

32.

52.

52.

42.

3To

tal

100.

010

0.0

100.

010

0.0

100.

010

0.0

100.

010

0.0

100.

010

0.0

100.

0

aD

efin

ed a

s se

rvic

es in

cide

ntal

to

tran

spor

tati

on s

uch

as f

orw

ardi

ng a

nd p

acki

ng a

nd a

rran

ging

pas

seng

er t

rave

l and

fre

ight

tra

nspo

rtat

ion.

NO

TE

SFo

r-hi

re t

rans

port

atio

n nu

mbe

rs m

ay n

ot e

qual

tot

al d

ue t

o th

e na

ture

of

the

chai

ned

dolla

r ca

lcul

atio

ns.

Perc

enta

ges

base

d on

the

rev

ised

est

imat

es h

ave

been

rec

alcu

late

d bu

t m

ay a

ppea

r un

chan

ged

due

to t

he n

umbe

r of

sig

nifi

cant

dig

its

show

n.N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

ES

1990

-95:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, S

urve

y of

Cur

rent

Bus

ines

s (W

ashi

ngto

n, D

C, J

une

2000

), p

. 46.

1996

: Ibi

d. (

Was

hing

ton,

DC

, Dec

embe

r 20

00),

p. 3

1.19

97-2

000:

Ibi

d. (

Was

hing

ton,

DC

, Nov

embe

r 20

01),

p. 2

9.

Page 220: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and the Total Economy � 201

TABL

E 3-

2a: U

.S. G

ross

Dom

estic

Pro

duct

(GDP

) Attr

ibut

ed to

Tra

nspo

rtatio

n-Re

late

d Fi

nal D

eman

d (C

urre

nt $

bill

ions

)

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Per

son

al c

on

sum

pti

on

of

tran

spo

rtat

ion

Mot

or v

ehic

les

and

part

s87

.017

5.7

206.

424

9.3

256.

326

4.2

288.

8R

319.

1R

336.

636

1.3

Gas

olin

e an

d oi

l86

.797

.210

7.3

113.

312

4.2

128.

111

4.8

R12

9.3

R16

4.4

162.

1

Tran

spor

t ser

vice

s64

.710

0.0

141.

819

7.7

214.

223

4.4

246.

3R

259.

4R

267.

827

1.4

Tota

l23

8.4

372.

945

5.5

560.

359

4.7

626.

764

9.9

R70

7.8

R76

8.8

794.

8

Gro

ss p

riva

te d

om

esti

c in

vest

men

tTr

ansp

orta

tion

stru

ctur

es3.

74.

33.

04.

45.

45.

97.

06.

2R

5.3

5.0

Tran

spor

tatio

n eq

uipm

ent

48.4

69.7

75.7

126.

113

8.9

151.

416

8.2

R19

4.7

R18

9.7

165.

8

Tota

l52

.174

.078

.713

0.5

144.

315

7.3

175.

2R

200.

9R

195.

017

0.8

Exp

ort

s (+

)C

ivili

an a

ircra

ft, e

ngin

es, a

nd p

arts

14.1

13.5

32.2

26.1

30.8

41.4

53.5

52.9

48.1

52.6

Aut

omot

ive

vehi

cles

, eng

ines

, and

par

ts17

.424

.936

.561

.865

.074

.072

.4R

75.3

R80

.475

.4

Pas

seng

er fa

res

2.6

4.4

15.3

18.9

20.4

20.9

20.1

19.8

R20

.818

.0

Oth

er tr

ansp

orta

tion

11.6

14.7

22.0

26.1

26.1

27.0

25.6

26.9

R30

.128

.3

Tota

l45

.757

.510

6.0

132.

914

2.3

163.

317

1.6

R17

4.9

R17

9.4

174.

3

Imp

ort

s (-

)C

ivili

an a

ircra

ft, e

ngin

es, a

nd p

arts

3.1

5.3

10.5

10.7

12.7

16.6

21.8

23.8

26.4

31.4

Aut

omot

ive

vehi

cles

, eng

ines

, and

par

ts28

.364

.988

.512

3.8

128.

913

9.8

148.

717

9.0

195.

918

9.8

Pas

seng

er fa

res

3.6

6.4

10.5

14.7

15.8

18.1

20.0

21.3

R24

.322

.4

Oth

er tr

ansp

orta

tion

11.8

15.6

25.0

27.0

27.4

29.0

30.4

34.1

R41

.638

.8

Tota

l46

.892

.213

4.5

176.

218

4.8

203.

522

0.9

258.

2R

288.

228

2.4

Net

exp

ort

s o

f tr

ansp

ort

atio

n-r

elat

ed

go

od

s an

d s

ervi

cesa

-1.1

-34.

7-2

8.5

-43.

3-4

2.5

-40.

2-4

9.3

R-8

3.3

R-1

08.8

-108

.1

Con

tinue

d ne

xt p

age

Page 221: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

202 � Chapter 3: Transportation and the Economy

Gov

ern

men

t tr

ansp

ort

atio

n-r

elat

ed p

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es

Fede

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pur

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U

Gro

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and

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789

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Tota

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nsp

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GD

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per

cen

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U

KE

Y: R

= r

evis

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not a

vaila

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aSu

m o

f ex

port

s an

d im

port

s.b

Fede

ral p

urch

ases

and

sta

te a

nd lo

cal p

urch

ases

are

the

sum

of

cons

umpt

ion

expe

ndit

ures

and

gro

ss in

vest

men

t.c

Def

ense

-rel

ated

pur

chas

es a

re t

he s

um o

f tr

ansp

orta

tion

of

mat

eria

l and

tra

vel.

dSu

m o

f to

tal p

erso

nal c

onsu

mpt

ion

of t

rans

port

atio

n, t

otal

gro

ss p

riva

te d

omes

tic

inve

stm

ent,

net

exp

orts

of

tran

spor

tati

on-r

elat

ed g

oods

and

ser

vice

s, a

nd

tota

l gov

ernm

ent

tran

spor

tati

on-r

elat

ed p

urch

ases

.

SOU

RC

ES

Fede

ral,

stat

e, a

nd lo

cal g

over

nmen

t tr

ansp

orta

tion

-rel

ated

pur

chas

es:

1980

-200

0: U

.S. D

epar

tmen

t of

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mer

ce, B

urea

u of

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nom

ic A

naly

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erne

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s of

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epar

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urea

u of

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nom

ic A

naly

sis,

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erne

t si

te h

ttp:

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w.b

ea.d

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ov/ a

s of

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. 12,

200

2, t

able

1.1

.

All

othe

r da

ta:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

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mic

Ana

lysi

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nter

net

site

htt

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ww

.bea

.doc

.gov

/ as

of A

ug. 1

2, 2

002,

tab

les

2.2,

3.1

0, 4

.3, 5

.4, a

nd 5

.6.

TABL

E 3-

2a: U

.S. G

ross

Dom

estic

Pro

duct

(GDP

) Attr

ibut

ed to

Tra

nspo

rtatio

n-Re

late

d Fi

nal D

eman

d (C

urre

nt $

bill

ions

) (Co

ntin

ued)

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Page 222: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and the Total Economy � 203

TABL

E 3-

2b: U

.S. G

ross

Dom

estic

Pro

duct

(GDP

) Attr

ibut

ed to

Tra

nspo

rtatio

n-Re

late

d Fi

nal D

eman

d (C

hain

ed 1

996

$ bi

llion

s)

e 198

0e 1

985

1990

1995

1996

1997

1998

1999

2000

2001

Per

son

al c

on

sum

pti

on

of

tran

spo

rtat

ion

Mot

or v

ehic

les

and

part

s14

2.7

236.

924

6.1

253.

425

6.3

264.

829

2.0

R32

2.1

R33

8.4

361.

9

Gas

olin

e an

d oi

lR

94.9

104.

811

3.1

120.

212

4.2

128.

113

1.8

R13

6.4

R13

5.7

138.

8

Tran

spor

t ser

vice

s12

4.7

152.

617

3.4

201.

021

4.2

226.

423

4.7

R24

6.2

R25

3.0

251.

1

Tota

lR

362.

349

4.3

532.

657

4.6

594.

761

9.3

658.

5R

704.

7R

727.

175

1.8

Gro

ss p

riva

te d

om

esti

c in

vest

men

tTr

ansp

orta

tion

stru

ctur

esR

6.4

R5.

73.

74.

65.

45.

76.

76.

15.

15.

0

Tran

spor

tatio

n eq

uipm

ent

R77

.693

.987

.412

8.2

138.

915

0.5

168.

2R

193.

2R

186.

616

3.6

Tota

lR

84.0

R99

.691

.113

2.8

144.

315

6.2

174.

9R

199.

3R

191.

716

8.6

Exp

ort

s (+

)C

ivili

an a

ircra

ft, e

ngin

es, a

nd p

arts

26.9

19.5

40.9

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30.8

40.0

51.1

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R43

.244

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Aut

omot

ive

vehi

cles

, eng

ines

, and

par

ts28

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er fa

res

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19.1

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R19

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Oth

er tr

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tion

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18.9

23.9

26.8

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27.6

R28

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Tota

l76

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135.

414

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161.

8

Imp

ort

s (-

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ivili

an a

ircra

ft, e

ngin

es, a

nd p

arts

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7.7

13.5

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12.7

16.0

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22.1

23.9

27.3

Aut

omot

ive

vehi

cles

, eng

ines

, and

par

ts52

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95.8

101.

612

4.6

128.

913

9.5

148.

2R

177.

119

2.5

186.

7

Pas

seng

er fa

res

5.5

9.3

12.7

14.9

15.8

17.1

18.6

19.4

R20

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Oth

er tr

ansp

orta

tion

R17

.219

.327

.227

.827

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.631

.631

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35.4

33.6

Tota

lR

81.2

R13

2.1

155.

017

8.5

184.

820

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219.

1R

250.

4R

272.

726

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Net

exp

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f tr

ansp

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atio

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go

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s an

d s

ervi

cesa

R-5

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1-3

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1-4

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3-4

8.8

R-8

0.0

R-1

03.2

-103

.5

Con

tinue

d ne

xt p

age

Page 223: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

204 � Chapter 3: Transportation and the Economy

Gov

ern

men

t tr

ansp

ort

atio

n-r

elat

ed p

urc

has

es

Fede

ral p

urch

ases

b13

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.916

.117

.217

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.118

.519

.4U

Sta

te a

nd lo

cal p

urch

ases

b77

.383

.510

1.1

112.

611

5.2

119.

812

3.9

128.

713

2.8

U

Def

ense

-rel

ated

pur

chas

esc

5.8

8.1

10.3

8.7

8.8

8.3

8.2

8.8

R8.

78.

7

Tota

l96

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5.5

R12

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138.

514

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146.

015

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156.

0R

160.

9U

Gro

ss D

om

esti

c P

rod

uct

4,90

0.9

5,71

7.1

6,70

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7,54

3.8

7,81

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8,15

9.5

8,50

8.9

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859.

0R

9,19

1.4

9,21

4.5

Tota

l tra

nsp

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atio

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elat

ed f

inal

dem

and

dR

537.

764

3.3

R71

9.9

802.

883

7.7

881.

293

4.8

R98

0.0

R97

6.5

U

Tota

l tra

nsp

ort

atio

n in

GD

P (

per

cen

t)11

.0%

11.3

%10

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10.6

%10

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10.8

%11

.0%

R11

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R10

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U

KE

Y: R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aSu

m o

f ex

port

s an

d im

port

s.b

Fede

ral a

nd s

tate

pur

chas

es a

re t

he s

um o

f co

nsum

ptio

n ex

pend

itur

es a

nd g

ross

inve

stm

ent.

Cha

ined

199

6 $

valu

e =

(yea

r n

curr

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dolla

r va

lue/

year

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uan-

tity

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x) x

100

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Def

ense

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ated

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chas

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re t

he s

um o

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tion

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mat

eria

l and

tra

vel.

dSu

m o

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tal p

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nal c

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mpt

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of t

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port

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n, t

otal

gro

ss p

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te d

omes

tic

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ent,

net

exp

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of

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spor

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elat

ed g

oods

and

ser

vice

s an

d to

tal g

over

nmen

t tr

ansp

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tion

-rel

ated

pur

chas

es.

eD

ata

are

esti

mat

ed u

sing

the

app

ropr

iate

cha

in-t

ype

quan

tity

inde

x.

NO

TE

Cha

ined

199

6 $

valu

e =

(Qua

ntit

y in

dex

for

year

n x

199

6 cu

rren

t $

valu

e)/1

00.

SOU

RC

ES

Fede

ral,

stat

e, a

nd lo

cal g

over

nmen

t tr

ansp

orta

tion

-rel

ated

pur

chas

es:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, I

nter

net

site

htt

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ww

.bea

.doc

.gov

/bea

/dn/

nipa

web

/ as

of N

ov. 1

5, 2

001,

tab

le 3

.15

and

tabl

e 7.

11 (

chai

n-ty

pe q

uant

ity

indi

ces

for

fede

ral n

onde

fens

e an

d st

ate

and

loca

l).

GD

P:U

.S. D

epar

tmen

t of

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mer

ce, B

urea

u of

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nom

ic A

naly

sis,

Int

erne

t si

te h

ttp:

//ww

w.b

ea.d

oc.g

ov/b

ea/d

n/ni

paw

eb/ a

s of

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. 12,

200

2, t

able

1.2

.

All

othe

r da

ta:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, I

nter

net

site

htt

p://w

ww

.bea

.doc

.gov

/bea

/dn/

nipa

web

/ as

of A

ug. 1

2, 2

002,

tab

les

2.3,

3.1

1, 4

.4,

5.7,

and

5.9

.C

hain

-Typ

e Q

uant

ity

Indi

ces

(for

com

puti

ng 1

980-

1985

val

ues)

:U

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

Eco

nom

ic A

naly

sis,

Int

erne

t si

te h

ttp:

//ww

w.b

ea.d

oc.g

ov/b

ea/d

n/ni

paw

eb/ a

s of

Aug

. 12,

200

2, t

able

s 7.

4, 7

.7, 7

.8,

7.10

, and

7.1

2.

TABL

E 3-

2b: U

.S. G

ross

Dom

estic

Pro

duct

(GDP

) Attr

ibut

ed to

Tra

nspo

rtatio

n-Re

late

d Fi

nal D

eman

d (C

hain

ed 1

996

$ bi

llion

s) (C

ontin

ued)

e 198

0e 1

985

1990

1995

1996

1997

1998

1999

2000

2001

Page 224: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and the Total Economy � 205

TABL

E 3-

3a: U

.S. G

ross

Dom

estic

Dem

and

(GDD

) Attr

ibut

ed to

Tra

nspo

rtatio

n-Re

late

d Fi

nal D

eman

d (C

urre

nt $

bill

ions

)

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Gro

ss D

om

esti

c D

eman

d2,

810.

54,

327.

25,

874.

67,

484.

77,

902.

18,

407.

88,

933.

3R

9,81

6.2

R10

,506

.210

,731

.7

Tota

l dom

estic

tran

spor

tatio

n-re

late

d fin

al d

eman

da35

0.5

530.

6R

642.

482

5.3

880.

293

3.5

981.

7R

1,07

6.9

R1,

139.

9U

Tota

l tra

nsp

ort

atio

n in

GD

D (

per

cen

t)12

.5%

12.3

%R

10.9

%11

.0%

11.1

%11

.1%

11.0

%R

11.0

%R

10.8

%U

Per

son

al c

on

sum

pti

on

of

tran

spo

rtat

ion

Mot

or v

ehic

les

and

part

s87

.017

5.7

206.

424

9.3

256.

326

4.2

288.

8R

319.

1R

336.

636

1.3

Gas

olin

e an

d oi

l86

.797

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7.3

113.

312

4.2

128.

111

4.8

R12

9.3

R16

4.4

162.

1

Tran

spor

tatio

n se

rvic

es64

.710

0.0

141.

819

7.7

214.

223

4.4

246.

3R

259.

4R

267.

827

1.4

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l23

8.4

372.

945

5.5

560.

359

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626.

764

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794.

8

Gro

ss p

riva

te d

om

esti

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men

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stru

ctur

es3.

74.

33.

04.

45.

45.

97.

06.

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5.3

5.0

Tran

spor

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48.4

69.7

75.7

126.

113

8.9

151.

416

8.2

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9.7

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8

Tota

l52

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0.5

144.

315

7.3

175.

2R

200.

9R

195.

017

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Gov

ern

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urc

has

es

Fede

ral p

urch

ases

b7.

010

.012

.916

.317

.217

.618

.318

.619

.5U

Sta

te a

nd lo

cal p

urch

ases

b48

.867

.590

.110

9.8

115.

212

3.6

130.

014

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147.

6U

Def

ense

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ated

pur

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4.2

6.2

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28.

48.

88.

38.

38.

9R

9.0

9.1

Tota

l60

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108.

213

4.5

141.

214

9.5

156.

616

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and

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are

the

sum

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the

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f m

ater

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SOU

RC

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Gro

ss D

omes

tic

Dem

and:

U

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epar

tmen

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Com

mer

ce, B

urea

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nom

ic A

naly

sis,

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erne

t si

te h

ttp:

//w

ww

.bea

.doc

.gov

/ as

of

Aug

. 12,

200

2, t

able

s 1.

1 an

d 4.

3.

Fede

ral,

stat

e, a

nd lo

cal g

over

nmen

t pu

rcha

ses:

19

80-2

000:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, I

nter

net

site

htt

p://w

ww

.bea

.doc

.gov

/bea

/dn/

nipa

web

/ as

of N

ov. 1

5, 2

001,

tab

le 3

.15.

All

othe

r da

ta:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

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Page 225: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

206 � Chapter 3: Transportation and the EconomyTA

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Page 226: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and the Total Economy � 207

TABLE 3-4a: Contributions to Gross Domestic Product (GDP): Selected Industries (Current $ billions)

1990 1995 1996 1997 1998 1999 2000GDP by industryServices 1,072 1,462 1,564 1,692 1,830 1,981 2,165Health care 314 433 459 472 491 516 547Education 40 56 58 61 68 72 79Finance, insurance, and real estate 1,010 1,347 1,437 1,570 1,709 1,811 1,936Manufacturing 1,041 1,289 1,316 1,380 1,432 1,497 1,567

Durable goods 587 730 748 791 831 866 902Nondurable goods 454 559 568 588 601 631 665

Government 807 990 1,020 1,065 1,103 1,152 1,216Federal 300 342 347 355 360 370 387State and local 506 647 674 710 743 782 830

Retail trade 508 647 687 741 790 835 894Wholesale trade 376 501 530 567 608 634 674Construction 249 290 316 338 381 426 464For-hire transportation 177 233 243 262 289 303 314Electric, gas, and sanitary services 165 207 208 206 205 216 230Communications 148 202 215 221 239 259 281Agriculture, forestry, and fishing 108 110 130 130 128 127 136Mining 112 96 113 119 100 103 127

Total GDP 5,803 7,401 7,813 8,318 8,782 9,269 9,873

Statistical discrepancya 31 27 33 30 -31 -73 -130

Percent of GDPServices 18% 20% 20% 20% 21% 21% 22%

Health care 5% 6% 6% 6% 6% 6% 6%Education 1% 1% 1% 1% 1% 1% 1%

Finance, insurance, and real estate 17% 18% 18% 19% 19% 20% 20%Manufacturing 18% 17% 17% 17% 16% 16% 16%

Durable goods 10% 10% 10% 10% 9% 9% 9%Nondurable goods 8% 8% 7% 7% 7% 7% 7%

Government 14% 13% 13% 13% 13% 12% 12%Federal 5% 5% 4% 4% 4% 4% 4%State and local 9% 9% 9% 9% 8% 8% 8%

Retail trade 9% 9% 9% 9% 9% 9% 9%Wholesale trade 6% 7% 7% 7% 7% 7% 7%Construction 4% 4% 4% 4% 4% 5% 5%For-hire transportation 3% 3% 3% 3% 3% 3% 3%Electric, gas, and sanitary services 3% 3% 3% 2% 2% 2% 2%Communications 3% 3% 3% 3% 3% 3% 3%Agriculture, forestry, and fishing 2% 1% 2% 2% 1% 1% 1%Mining 2% 1% 1% 1% 1% 1% 1%

a Equals gross domestic product measured as the sum of expenditures less gross domestic income.

NOTESData for 1997 and 1998 have been revised by the Bureau of Economic Analysis. Percentages based on the revised

estimates have been recalculated but may appear unchanged due the number of significant digits shown. Numbers may not add to totals due to rounding.

SOURCE1990-2000: U.S. Department of Commerce, Bureau of Economic Analysis, Survey of Current Business (Wash-

ington, DC: November 2001), p. 26.

Page 227: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

208 � Chapter 3: Transportation and the Economy

TABLE 3-4b: Contributions to Gross Domestic Product (GDP): Selected Industries (Chained 1996 $ billions)

1990 1995 1996 1997 1998 1999 2000GDP by industryServices 1,362 1,510 1,564 1,632 1,699 1,775 1,865Health services 423 444 459 460 461 471 485Educational services 50 59 58 59 61 62 65Finance, insurance, and real estate 1,251 1,393 1,437 1,521 1,622 1,714 1,810Manufacturing 1,102 1,285 1,316 1,387 1,444 1,532 1,595

Durable goods 585 715 748 813 893 965 1,034Nondurable goods 520 570 568 575 556 574 574

Government 1,008 1,017 1,020 1,036 1,047 1,061 1,085Federal 385 354 347 347 348 347 353State and local 624 663 674 688 700 714 732

Retail trade 560 641 687 745 800 844 906Wholesale trade 395 483 530 584 663 689 708Construction 291 300 316 325 349 370 379For-hire transportation 181 225 243 249 258 269 281Electric, gas, and sanitary services 190 207 208 202 194 213 218Communications 155 202 215 218 231 257 284Agriculture, forestry, and fishing 119 123 130 144 146 153 166Mining 106 113 113 117 120 112 95

Total GDP 6,708 7,544 7,813 8,160 8,509 8,857 9,224

Statistical discrepancya 35 27 33 29 -30 -70 -123

Percent of GDPServices 20% 20% 20% 20% 20% 20% 20%

Health services 6% 6% 6% 6% 5% 5% 5%Educational services 1% 1% 1% 1% 1% 1% 1%

Finance, insurance, and real estate 19% 18% 18% 19% 19% 19% 20%Manufacturing 16% 17% 17% 17% 17% 17% 17%

Durable goods 9% 9% 10% 10% 10% 11% 11%Nondurable goods 8% 8% 7% 7% 7% 6% 6%

Government 15% 13% 13% 13% 12% 12% 12%Federal 6% 5% 4% 4% 4% 4% 4%State and local 9% 9% 9% 8% 8% 8% 8%

Retail trade 8% 9% 9% 9% 9% 10% 10%Wholesale trade 6% 6% 7% 7% 8% 8% 8%Construction 4% 4% 4% 4% 4% 4% 4%For-hire transportation 3% 3% 3% 3% 3% 3% 3%Electric, gas, and sanitary services 3% 3% 3% 2% 2% 2% 2%Communications 2% 3% 3% 3% 3% 3% 3%Agriculture, forestry, and fishing 2% 2% 2% 2% 2% 2% 2%Mining 2% 1% 1% 1% 1% 1% 1%

a Equals the current dollar statistical discrepancy deflated by the implicit price deflator for gross domestic business product.

NOTESData for 1997 and 1998 have been revised by the Bureau of Economic Analysis. Percentages based on the revised estimates have been recalculated but may appear unchanged due to the number

of significant digits shown.Numbers may not add to totals due to rounding.

SOURCES1990-95: U.S. Department of Commerce, Bureau of Economic Analysis, Survey of Current Business, (Washing-

ton, DC, June 2000), p. 46.1996: Ibid., (Washington, DC, December 2000), p. 31.1997-2000: Ibid., (Washington, DC, November 2001), p. 29.

Page 228: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and the Total Economy � 209

TABLE 3-5: Gross Domestic Product (GDP) by Major Social Function (Current $ billions)

1991 1992 1993 1994 1995 1996 1997 1998 1999 2000TOTAL GDP 5,986 6,319 6,642 7,054 7,401 7,813 8,318 8,782 9,269 9,873

Housing 1,388 1,473 1,570 1,686 1,766 1,874 1,974 2,103 2,243 2,386Percent of total 23.2 23.0 23.6 23.9 23.9 24.0 23.7 23.9 24.2 24.2

Healthcare 827 903 969 1,026 1,086 1,142 1,208 1,281 1,353 1,444Percent of total 13.8 14.3 14.6 14.5 14.7 14.6 15.0 14.6 14.6 15.0

Food 798 828 850 903 926 985 1,011 1,059 1,126 1,201Percent of total 13.3 13.1 12.8 12.8 12.5 12.6 12.2 12.1 12.2 12.2

Transportationa 613 658 701 755 788 840 898 936 1,014 1,063

Percent of total 10.2 10.4 10.6 10.7 10.6 10.8 10.8 10.7 10.9 10.8

Education 413 432 452 478 511 541 578 614 650 693Percent of total 6.9 6.8 6.8 6.8 6.9 6.9 6.9 7.0 7.0 7.0

Other 1,947 2,026 2,101 2,207 2,324 2,431 2,650 2,788 2,882 3,085Percent of total 32.5 32.1 31.6 31.0 31.4 31.1 31.9 31.8 31.0 31.3

a Transportation-related final demand.

NOTENumbers and percents may not add to totals due to rounding.

SOURCEU.S. Department of Transportation, Bureau of Transportation Statistics, calculated from data in the U.S.

Department of Commerce, Bureau of Economic Analysis, Survey of Current Business (Washington, DC: Var-ious issues from 1991 to October 2001).

Page 229: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

210 � Chapter 3: Transportation and the EconomyTA

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0, 2

002.

Page 230: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter three

Section BTransportation and

Consumer Expenditures

Page 231: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 232: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and Consumer Expenditures � 213

TABL

E 3-

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n Ex

pend

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s (C

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nt $

mill

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1965

1970

1975

1980

1985

1990

1995

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1997

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1999

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igh

t tr

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5,68

210

,565

18,8

5138

,135

50,3

1973

,045

81,1

5582

,331

93,2

6897

,358

101,

750

Rai

l tot

ald

759

598

464

1,21

22,

976

3,87

54,

521

6,69

35,

895

5,76

35,

691

5,61

1

Wat

er to

tal (

incl

udes

inte

rnat

iona

l)28

134

528

729

431

060

11,

391

1,71

61,

843

1,97

42,

029

2,08

8To

tal p

asse

nger

tran

spor

tatio

n ex

pend

iture

s59

,694

81,5

9211

1,89

318

3,38

235

6,14

350

6,62

064

1,99

675

9,19

379

9,80

784

6,73

286

7,44

593

6,91

7

Fre

igh

t tr

ansp

ort

atio

n e

xpen

dit

ure

sH

ighw

ayLo

cal,

truc

k14

,289

23,7

7928

,819

37,2

8760

,545

82,2

0010

8,35

012

8,35

213

2,97

313

8,72

714

4,27

615

2,06

7In

terc

ityB

us42

7012

215

623

524

512

613

013

213

414

115

1Tr

uck

17,9

5823

,628

33,5

5347

,400

94,5

5112

3,20

016

2,30

021

9,62

723

5,44

025

7,80

728

2,81

430

4,56

3To

tal h

igh

way

32,2

8947

,477

62,4

9484

,843

155,

331

205,

645

270,

776

348,

109

368,

545

396,

668

427,

231

456,

781

Air

tota

l (do

mes

tic a

nd in

tern

atio

nal)

354

708

1,17

11,

838

4,01

36,

817

13,7

0618

,755

20,4

4822

,831

24,2

2225

,277

Rai

l tot

al9,

028

9,92

311

,869

16,5

0927

,858

29,1

5030

,067

34,3

6035

,059

35,3

4935

,294

35,8

93W

ater

tota

l3,

487

3,90

35,

257

8,22

115

,498

18,4

4820

,121

22,7

0924

,564

21,0

3122

,503

24,4

94O

il pi

pelin

e to

tal

895

1,05

11,

396

2,22

07,

548

8,91

08,

506

9,07

78,

637

8,63

28,

579

9,06

7

Oth

er to

tale

1,71

41,

869

1,79

12,

208

3,48

84,

642

7,77

410

,307

9,95

010

,554

10,6

0110

,243

Tota

l fre

igh

t tr

ansp

ort

atio

n e

xpen

dit

ure

s47

,767

64,9

3183

,978

115,

839

213,

736

273,

612

350,

950

443,

317

467,

203

495,

065

528,

430

561,

755

aIn

clud

es b

usin

ess

expe

ndit

ures

for

pas

seng

er c

ars.

bIn

clud

es f

eder

al /

stat

e op

erat

ing

subs

idie

s, a

nd f

eder

al c

apit

al g

rant

s. B

egin

ning

in 1

994,

incl

udes

tax

es le

vied

dir

ectl

y by

tra

nsit

age

ncie

s an

d lo

cal s

ubsi

dies

su

ch a

s br

idge

and

tun

nel t

olls

, and

non

tran

sit

park

ing

lot

fund

s.c

Air

incl

udes

air

craf

t an

d op

erat

ing

cost

s, p

lus

dom

esti

c an

d in

tern

atio

nal a

ir p

asse

nger

fed

eral

exc

ise

taxe

s.d

Dat

a fr

om 1

980

incl

ude

fede

ral /

sta

te /

loca

l ope

rati

ng s

ubsi

dies

and

cap

ital

gra

nts.

Figu

res

also

incl

ude

fede

ral o

pera

ting

sub

sidi

es a

nd c

apit

al g

rant

s fo

r A

mtr

ak a

nd t

he N

orth

east

Cor

rido

r.e

Dom

esti

c fr

eigh

t fo

rwar

der’

s re

venu

es a

fter

pay

men

t to

live

-hau

l car

rier

s pl

us o

ther

shi

pper

cos

ts s

uch

as lo

adin

g an

d un

load

ing

frei

ght

cars

.

SOU

RC

E

Pass

enge

r an

d fr

eigh

t:19

60-9

9: E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n in

Am

eric

a, 2

001

(Was

hing

ton,

DC

: 200

0), p

p. 4

-11.

Page 233: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

214 � Chapter 3: Transportation and the EconomyTA

BLE

3-8:

Sal

es P

rice

of T

rans

porta

tion

Fuel

to E

nd-U

sers

(Cur

rent

¢/g

allo

n)

1980

1985

1990

1995

1996

1997

1998

1999

2000

P20

01A

viat

ion

fu

el (

excl

ud

ing

tax

es)

Avi

atio

n ga

solin

ea10

8.4

120.

111

2.0

100.

511

1.6

112.

897

.510

5.9

R13

0.6

132.

2

Jet f

uel k

eros

enea

86.8

79.6

76.6

54.0

65.1

61.3

45.2

54.3

R89

.977

.6

Hig

hw

ay f

uel

Gas

olin

e (in

clud

ing

taxe

s)

Pre

miu

mb

N13

4.0

134.

913

3.6

141.

314

1.6

125.

013

5.7

169.

316

5.7

Reg

ular

b12

4.5

120.

211

6.4

114.

712

3.1

123.

410

5.9

116.

515

1.0

146.

1

All

type

s12

2.1

119.

612

1.7

120.

512

8.8

129.

111

1.5

122.

115

6.3

153.

1

Die

sel n

o. 2

(ex

clud

ing

taxe

s)a

81.8

78.9

72.5

56.0

68.1

64.2

49.4

58.4

R93

.584

.2

Rai

lro

ad f

uel

Die

sel

82.6

77.8

69.2

60.0

67.7

67.8

57.0

55.5

87.5

85.4

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

.

aSa

les

to e

nd-u

sers

(th

ose

sale

s m

ade

dire

ctly

to

the

ulti

mat

e co

nsum

er, i

nclu

ding

bul

k cu

stom

ers

in a

gric

ultu

re, i

ndus

try,

and

uti

lity)

.b

Ave

rage

ret

ail p

rice

.

SOU

RC

ES

All

data

exc

ept

railr

oad

fuel

:U

.S. D

epar

tmen

t of

Ene

rgy,

Ene

rgy

Info

rmat

ion

Adm

inis

trat

ion,

Mon

thly

Ene

rgy

Rev

iew

(W

ashi

ngto

n, D

C: A

ugus

t 20

02),

tab

les

9.4

and

9.7.

Rai

lroa

d fu

el:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: 200

1), p

. 61,

and

per

sona

l com

mun

icat

ion,

Aug

. 12,

200

2.

Page 234: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and Consumer Expenditures � 215

TABL

E 3-

9: P

rice

Tren

ds o

f Gas

olin

e v.

Oth

er C

onsu

mer

Goo

ds a

nd S

ervi

ces

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Ret

ail p

rice

of

reg

ula

r g

rad

e g

aso

line

(¢/g

allo

n)

Ser

vice

sta

tion

pric

e (e

xclu

ding

taxe

s)a

21.0

20.7

24.6

44.8

105.

389

.588

.074

.382

.482

.665

.075

.010

8.8

106.

4

Sta

te a

nd fe

dera

l tax

esb

10.1

10.5

11.1

12.4

13.8

22.0

26.9

40.4

40.7

40.8

41.0

41.5

42.2

42.0

Ser

vice

sta

tio

n p

rice

(in

clu

din

g t

axes

)Le

aded

31.1

31.2

35.7

56.7

119.

111

1.5

114.

9N

AN

AN

AN

AN

AN

AN

A

Unl

eade

dN

NN

N12

4.5

120.

211

6.4

114.

712

3.1

123.

410

6.0

116.

515

1.0

c 148

.4

Co

nsu

mer

pri

ce in

dic

es(1

982-

84 =

100

)A

ll ite

ms

3032

3954

8210

813

115

215

716

116

316

717

217

7

Food

3032

3960

8710

613

214

815

315

716

116

416

817

3S

helte

r25

2736

4981

110

140

166

171

176

182

187

193

200

App

arel

and

upk

eep

4648

5973

9110

512

413

213

213

313

313

113

012

7

Mot

or fu

el24

2528

4597

9910

110

010

610

692

101

129

125

Med

ical

car

e22

2534

4875

114

163

221

228

235

242

251

261

273

KE

Y: N

= d

ata

do n

ot e

xist

; NA

= n

ot a

pplic

able

.

aC

alcu

late

d by

sub

trac

ting

sta

te a

nd f

eder

al t

axes

fro

m s

ervi

ce s

tati

on p

rice

(in

clud

ing

taxe

s).

bSt

ate

and

fede

ral t

axes

are

wei

ghte

d av

erag

es c

ompu

ted

by t

he A

mer

ican

Pet

role

um I

nsti

tute

, bas

ed o

n ga

solin

e so

ld in

the

50

stat

es.

cIn

clud

es o

nly

data

fro

m J

anua

ry t

o A

pril.

SOU

RC

ES

Ret

ail p

rice

of

regu

lar

grad

e ga

solin

e ex

cept

ser

vice

sta

tion

pri

ces

(inc

ludi

ng t

axes

):

1960

-65:

Am

eric

an P

etro

leum

Ins

titu

te, B

asic

Pet

role

um D

ata

Boo

k (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, sec

tion

VI,

tab

le 5

, and

sim

ilar

tabl

es in

ear

lier

edit

ions

.19

70-2

001:

Am

eric

an P

etro

leum

Ins

titu

te, H

ow M

uch

We

Pay

for

Gas

olin

e (M

ay 2

001)

tab

le 2

.

Serv

ice

stat

ion

pric

e (i

nclu

ding

tax

es):

19

60-2

001:

Am

eric

an P

etro

leum

Ins

titu

te, H

ow M

uch

We

Pay

for

Gas

olin

e (M

ay 2

001)

tab

le 3

.

Con

sum

er p

rice

indi

ces:

19

60-2

001:

Cou

ncil

of E

cono

mic

Adv

isor

s, E

cono

mic

Rep

ort

of t

he P

resi

dent

(W

ashi

ngto

n, D

C: J

anua

ry 2

001)

, tab

les

B-6

0 an

d B

-61.

Als

o av

aila

ble

at I

nter

net

site

htt

p://w

3.ac

cess

.gpo

.gov

/eop

/.

Page 235: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

216 � Chapter 3: Transportation and the EconomyTA

BLE

3-10

: Pro

duce

r Pric

e In

dice

s fo

r Tra

nspo

rtatio

n Se

rvic

es (B

ase

date

= 1

00)

Bas

e d

ate

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

Rai

lroad

s, li

ne-h

aul o

pera

ting

(SIC

401

1)12

/84

107.

510

9.3

109.

911

0.9

111.

811

1.7

111.

511

2.1

113.

411

3.0

114.

511

6.6

Mot

or fr

eigh

t tra

nspo

rtat

ion

and

war

ehou

sing

(S

IC 4

2)06

/93

UU

U99

.910

1.9

104.

510

6.3

108.

911

1.6

114.

811

9.4

123.

1W

ater

tran

spor

tatio

n (S

IC 4

4)12

/92

UU

100.

099

.710

0.0

103.

010

3.7

104.

210

5.6

113.

012

2.6

129.

8

Air

tran

spor

tatio

n (S

IC 4

5)12

/92

UU

100.

010

5.6

108.

511

3.7

121.

112

5.3

124.

513

0.8

147.

715

7.2

Pip

elin

es, e

xcep

t nat

ural

gas

(S

IC 4

6)12

/86

95.8

96.1

96.4

96.6

102.

611

0.8

104.

698

.899

.298

.310

2.3

110.

3Tr

avel

age

ncie

s (S

IC 4

724)

12/8

910

7.3

113.

611

3.4

115.

311

5.3

111.

310

9.9

114.

511

2.1

112.

012

1.8

123.

3

Frei

ght t

rans

port

atio

n ar

rang

emen

t (S

IC 4

731)

12/9

4U

UU

U10

0.0

99.8

101.

510

1.4

99.7

99.2

100.

310

0.3

KE

Y: S

IC =

Sta

ndar

d In

dust

rial C

lass

ifica

tion;

U =

dat

a ar

e no

t ava

ilabl

e.

NO

TE

Dat

a ar

e re

port

ed m

onth

ly f

rom

Jan

uary

to

Dec

embe

r. T

he m

onth

ly in

dice

s, h

owev

er, a

re a

vaila

ble

for

few

er t

han

12 m

onth

s fo

r so

me

year

s. I

n bo

th c

ases

, a

sim

ple

aver

age

of t

he a

vaila

ble

mon

thly

indi

ces

is r

epor

ted

for

each

yea

r. D

ata

are

not

seas

onal

ly a

djus

ted.

SOU

RC

EU

.S. D

epar

tmen

t of

Lab

or, B

urea

u of

Lab

or S

tati

stic

s, I

nter

net

site

ww

w.b

ls.g

ov/d

ata/

sa.h

tm a

s of

Jul

y 29

, 200

2.

Page 236: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and Consumer Expenditures � 217

TABL

E 3-

11: P

rodu

cer P

rice

Indi

ces

for T

rans

porta

tion

Equi

pmen

t (Ba

se d

ate

= 10

0)

Bas

e d

ate

199

0 1

991

199

2 1

993

199

4 1

995

199

6 1

997

199

8 1

999

200

0 2

001

Tran

spor

tatio

n eq

uipm

ent (

SIC

37)

12/8

411

5.6

119.

812

3.0

126.

313

0.1

132.

213

4.2

134.

113

3.6

134.

513

6.8

137.

9M

otor

veh

icle

s an

d m

otor

veh

icle

equ

ipm

ent (

SIC

371

)12

/84

113.

011

7.4

120.

512

3.8

127.

512

9.1

130.

412

9.0

127.

712

8.3

129.

212

8.5

Mot

or v

ehic

les

and

pass

enge

r ca

r bo

dies

(S

IC 3

711)

06/8

211

9.9

125.

312

9.1

133.

213

8.0

139.

114

0.4

138.

713

6.8

137.

613

8.7

137.

6

Truc

k an

d bu

s bo

dies

(S

IC 3

713)

12/8

212

5.4

128.

113

1.1

132.

813

6.8

145.

514

9.9

153.

515

5.3

157.

016

0.3

163.

3M

otor

veh

icle

par

ts a

nd a

cces

sorie

s (S

IC 3

714)

12/8

210

8.9

110.

311

1.0

111.

711

2.0

113.

511

4.0

113.

111

2.6

112.

011

1.6

111.

5Tr

uck

trai

lers

(S

IC 3

715)

12/7

912

5.6

128.

113

1.2

134.

213

8.6

148.

614

7.8

147.

715

2.2

153.

615

6.6

156.

1

Mot

or h

omes

bui

lt on

pur

chas

ed c

hass

is (

SIC

371

6)06

/84

125.

812

8.7

131.

813

3.9

134.

513

7.8

141.

614

3.1

145.

014

7.6

149.

415

1.8

Airc

raft

(SIC

372

1)12

/85

116.

012

0.4

124.

312

8.6

132.

913

7.3

140.

514

2.3

142.

714

4.1

150.

515

5.7

Airc

raft

engi

nes

and

engi

ne p

arts

(S

IC 3

724)

12/8

511

2.6

117.

912

3.6

125.

712

9.0

130.

913

3.4

134.

813

5.8

136.

813

9.7

144.

0

Airc

raft

part

s an

d au

xilia

ry e

quip

men

t, N

EC

(S

IC 3

728)

06/8

511

6.3

120.

312

4.9

128.

013

0.7

131.

713

6.3

139.

014

0.8

142.

214

3.3

146.

6S

hipb

uild

ing

and

repa

iring

(S

IC 3

731)

12/8

511

4.0

116.

211

8.3

123.

312

6.8

127.

613

0.1

133.

313

4.8

135.

413

7.6

140.

1B

oatb

uild

ing

and

repa

iring

(S

IC 3

732)

12/8

113

6.0

140.

114

4.9

147.

715

0.2

154.

615

9.6

165.

016

8.6

172.

717

9.4

186.

3

Rai

lroad

equ

ipm

ent (

SIC

374

3)06

/84

114.

211

7.3

118.

711

9.8

122.

612

7.6

129.

612

7.4

127.

512

8.1

128.

612

8.2

Mot

orcy

cles

, bic

ycle

s, a

nd p

arts

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IC 3

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410

9.9

111.

811

4.4

116.

911

9.0

122.

212

3.3

123.

312

4.2

125.

512

7.7

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9Tr

avel

trai

lers

and

cam

pers

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IC 3

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06/8

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8.1

120.

112

2.2

123.

212

4.7

127.

212

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129.

613

0.3

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013

3.2

134.

2

Tran

spor

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n eq

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C (

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112.

511

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116.

111

7.2

119.

112

3.3

126.

612

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131.

313

2.2

135.

513

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data

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y 30

, 200

2.

Page 237: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

218 � Chapter 3: Transportation and the EconomyTA

BLE

3-12

: Per

sona

l Exp

endi

ture

s by

Cat

egor

y (C

urre

nt $

mill

ions

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1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

R20

0020

01

TOTA

L e

xpen

dit

ure

s33

2,30

044

4,30

064

8,90

01,

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1,76

2,90

02,

712,

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3,83

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529,

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5,85

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6,24

6,50

06,

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spor

tatio

n42

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59,1

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130,

200

238,

400

372,

800

455,

400

560,

300

594,

600

626,

700

649,

900

R70

7,80

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spor

tatio

n as

a

% o

f tot

al12

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.613

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108,

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154,

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238,

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376,

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677,

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188,

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261,

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300

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284,

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401,

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Page 238: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and Consumer Expenditures � 219

TABL

E 3-

13: P

erso

nal C

onsu

mpt

ion

Expe

nditu

res

on T

rans

porta

tion

by S

ubca

tego

ry (C

urre

nt $

mill

ions

)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

TOTA

L t

ran

spo

rtat

ion

42,9

0059

,100

81,1

0013

0,20

023

8,40

037

2,80

045

5,40

056

0,30

059

4,60

062

6,70

064

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0R

707,

800

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8,90

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0

Use

r-o

per

ated

tra

nsp

ort

atio

n

New

car

s an

d ne

t pur

chas

es

of u

sed

cars

16,6

0025

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R36

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013

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013

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013

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014

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156,

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and

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RV

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01,

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104,

500

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125,

900

149,

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bes,

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ries,

an

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310

280

210

270

300

480

700

600

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700

700

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600

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600

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, 200

2.

Page 239: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

220 � Chapter 3: Transportation and the EconomyTA

BLE

3-14

: Ave

rage

Cos

t of O

wni

ng a

nd O

pera

ting

an A

utom

obile

a (A

ssum

ing

15,0

00 V

ehic

le-M

iles

per Y

ear)

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Ave

rag

e to

tal c

ost

per

mile

(cu

rren

t ¢)

14.4

21.2

23.2

33.0

41.2

42.6

44.8

46.1

49.1

51.0

50.2

Gas

and

oil

4.8

5.9

5.6

5.4

5.8

5.6

6.6

6.2

6.9

7.9

5.9

Gas

and

oil

as a

per

cent

of t

otal

cos

t33

.4%

27.8

%24

.1%

16.4

%14

.1%

13.1

%14

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13.4

%14

.1%

15.5

%11

.8%

Mai

nten

ance

1.0

1.1

1.2

2.1

2.6

2.8

2.8

3.1

3.6

3.9

4.1

Tire

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70.

60.

70.

91.

21.

21.

41.

41.

71.

81.

8

Ave

rag

e to

tal c

ost

per

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000

mile

s (c

urr

ent

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154

3,17

63,

484

4,95

46,

185

6,38

96,

723

6,90

87,

363

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47,

533

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iabl

e co

st96

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143

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0

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033

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13,

694

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614

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4

aA

ll fi

gure

s re

flec

t th

e av

erag

e co

st o

f op

erat

ing

a ve

hicl

e 15

,000

mile

s pe

r ye

ar in

sto

p an

d go

con

diti

ons.

bFi

xed

cost

s (o

wne

rshi

p co

sts)

incl

ude

insu

ranc

e, li

cens

e, r

egis

trat

ion,

tax

es, d

epre

ciat

ion,

and

fin

ance

cha

rges

.

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TE

SC

hang

es in

the

way

cos

ts w

ere

calc

ulat

ed m

ake

it d

iffi

cult

to

com

pare

pre

-198

5 da

ta w

ith

mor

e re

cent

yea

rs.

Prio

r to

198

5, t

he c

ost

figu

res

are

for

a m

id-s

ized

, cur

rent

mod

el, A

mer

ican

car

equ

ippe

d w

ith

a va

riet

y of

sta

ndar

d an

d op

tion

al a

cces

sori

es. A

fter

198

5, t

he

cost

figu

res

repr

esen

t a

com

posi

te o

f thr

ee c

urre

nt m

odel

Am

eric

an c

ars.

The

200

0 fu

el c

osts

are

bas

ed o

n a

four

th q

uart

er a

vera

ge p

rice

of

$1.5

95 p

er g

allo

n of

reg

ular

unl

eade

d ga

solin

e, w

eigh

ted

20 p

erce

nt f

ull-

serv

e an

d 80

per

cent

sel

f-se

rve.

Ins

uran

ce f

igur

es a

re b

ased

on

pers

onal

use

of

vehi

cles

dri

ven

less

tha

n 10

mile

s to

or

from

wor

k, w

ith

no d

rive

rs u

nder

25

year

s ol

d. N

orm

al d

epre

ciat

ion

cost

s ar

e ba

sed

on t

he v

ehic

le’s

tra

de-i

n va

lue

at t

he e

nd o

f 4

year

s or

60

,000

mile

s. A

mer

ican

Aut

omob

ile A

ssoc

iati

on a

naly

sis

cove

rs v

ehic

les

equi

pped

wit

h st

anda

rd a

nd o

ptio

nal a

cces

sori

es in

clud

ing

auto

mat

ic t

rans

mis

sion

, ai

r co

ndit

ioni

ng, p

ower

ste

erin

g, p

ower

dis

c br

akes

, AM

/FM

ste

reo,

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ver-

and

pas

seng

er-s

ide

air

bags

, ant

i-lo

ck b

rake

s, c

ruis

e co

ntro

l, ti

lt s

teer

ing

whe

el,

tint

ed g

lass

, em

issi

ons

equi

pmen

t, a

nd r

ear-

win

dow

def

ogge

r.

SOU

RC

EA

mer

ican

Aut

omob

ile A

ssoc

iati

on, Y

our

Dri

ving

Cos

ts (

Hea

thro

w, F

L: A

nnua

l iss

ues)

.

Page 240: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation and Consumer Expenditures � 221

TABL

E 3-

15a:

Ave

rage

Pas

seng

er F

ares

(Cur

rent

$)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

carr

ier,

dom

estic

, sch

edul

ed s

ervi

ce33

.01

34.1

340

.65

53.6

484

.60

92.5

310

7.86

106.

6611

0.37

114.

1011

4.34

R11

4.98

121.

27

Cla

ss I

bus,

inte

rcity

a2.

462.

733.

815.

4610

.57

11.9

820

.22

20.1

022

.85

20.7

123

.00

25.4

329

.46

Tran

sit,

all m

odes

b (u

nlin

ked)

0.14

0.16

0.22

0.27

0.30

0.53

0.67

0.88

0.93

R0.

90R

0.91

0.90

0.93

Com

mut

er r

ail

0.64

0.71

0.84

1.04

1.41

2.85

2.90

3.13

3.25

3.30

3.29

R3.

303.

33

Inte

rcity

/ A

mtr

akc

4.22

3.92

3.19

12.9

617

.72

26.1

538

.51

39.0

342

.54

44.3

143

.98

45.7

2U

KE

Y: R

= r

evis

ed

aR

egul

ar r

oute

inte

rcit

y se

rvic

e.b

Prio

r to

198

4, e

xclu

des

com

mut

er r

ailr

oad,

aut

omat

ed g

uide

way

, urb

an f

erry

boat

, dem

and

resp

onsi

ve, a

nd m

ost

rura

l and

sm

alle

r sy

stem

s.c

Am

trak

beg

an o

pera

tion

s in

197

1.

SOU

RC

ES

Air

car

rier

, dom

esti

c, s

ched

uled

ser

vice

:19

60: C

ivil

Aer

onau

tics

Boa

rd, H

andb

ook

of A

irlin

e St

atis

tics

, 196

9 (W

ashi

ngto

n, D

C: F

ebru

ary

1970

), p

art

III,

tab

le 2

(en

plan

emen

ts);

par

t IV

, tab

le 2

(pa

ssen

-ge

r re

venu

e).

1965

-70:

Ibi

d. H

andb

ook

of A

irlin

e St

atis

tics

, 197

3 (W

ashi

ngto

n, D

C: M

arch

197

4), p

art

III,

tab

le 2

(en

plan

emen

ts);

par

t IV

, tab

le 2

(pa

ssen

ger

reve

nue)

.19

75-8

0: I

bid.

Air

Car

rier

Fin

anci

al S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l Dec

embe

r is

sues

), p

. 1, l

ine

3; a

nd A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n, D

C:

Ann

ual D

ecem

ber

issu

es),

p. 2

, lin

e 16

(pa

ssen

ger

reve

nue

/ rev

enue

pas

seng

er e

npla

nem

ents

).

1985

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er F

inan

cial

Sta

tist

ics

(Was

hing

ton,

D

C: A

nnua

l Dec

embe

r is

sues

), p

. 1, l

ine

3 (p

asse

nger

rev

enue

s); A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l Dec

embe

r is

sues

), p

. 2, l

ine

16 (

pas-

seng

er r

even

ue /

reve

nue

pass

enge

r en

plan

emen

ts).

Cla

ss I

bus

, int

erci

ty:

1960

-90:

Int

erst

ate

Com

mer

ce C

omm

issi

on, T

rans

port

Sta

tist

ics

in t

he U

nite

d St

ates

, Mot

or C

arri

ers

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), p

art

2.19

95-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, S

elec

ted

Ear

ning

s D

ata,

Cla

ss I

Mot

or C

arri

ers

of P

asse

nger

s (W

ashi

ngto

n,

DC

: Ann

ual i

ssue

s).

Tra

nsit

and

com

mut

er r

ail:

1960

-200

0: A

mer

ican

Pub

lic T

rans

it A

ssoc

iati

on, P

ublic

Tra

nspo

rtat

ion

Fact

Boo

k (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

(pa

ssen

ger

fare

s / p

asse

nger

tri

ps).

Inte

rcit

y /

Am

trak

:19

60-7

0: A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.19

75-8

0: A

mtr

ak, S

tate

and

Loc

al A

ffai

rs D

epar

tmen

t an

d Pu

blic

Aff

airs

Dep

artm

ent,

per

sona

l com

mun

icat

ion.

1985

-99:

Am

trak

, Am

trak

Ann

ual R

epor

t, S

tati

stic

al A

ppen

dix

(Was

hing

ton,

DC

: Ann

ual i

ssue

s) (

tran

spor

tati

on r

even

ues

/ Am

trak

sys

tem

pas

seng

er t

rips

).

Page 241: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

222 � Chapter 3: Transportation and the EconomyTA

BLE

3-15

b: A

vera

ge P

asse

nger

Far

es (C

hain

ed 1

996

$)a

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

carr

ier,

dom

estic

, sch

edul

ed s

ervi

ce12

3.13

122.

5212

2.86

120.

0210

9.15

99.6

210

4.51

101.

6511

0.37

107.

5610

9.35

R11

1.44

110.

43

Cla

ss I

bus,

inte

rcity

b15

.62

16.3

818

.05

16.5

019

.97

14.4

420

.57

20.4

922

.85

20.6

221

.72

R23

.47

26.0

2

Tran

sit,

all m

odes

c (u

nlin

ked)

1.03

1.00

0.97

0.93

0.70

0.85

0.86

0.97

0.93

R0.

89R

0.91

R0.

910.

92

Com

mut

er r

ail

4.20

4.59

4.61

4.42

3.63

4.66

3.48

3.33

3.25

3.30

3.22

R3.

113.

04

Inte

rcity

/ A

mtr

akd

27.6

825

.33

17.5

055

.08

45.5

642

.80

46.2

141

.58

42.5

444

.36

42.9

943

.10

U

KE

Y: R

= r

evis

ed.

aA

ll da

ta in

thi

s ta

ble

have

bee

n re

vise

d us

ing

new

ly a

vaila

ble

chai

n-ty

pe in

dexe

s fo

r tr

ansp

orta

tion

ser

vice

s fr

om t

he B

urea

u of

Eco

nom

ic A

naly

sis.

b

Reg

ular

rou

te in

terc

ity

serv

ice.

cPr

ior

to 1

984,

exc

lude

s co

mm

uter

rai

lroa

d, a

utom

ated

gui

dew

ay, u

rban

fer

rybo

at, d

eman

d re

spon

sive

, and

mos

t ru

ral a

nd s

mal

ler

syst

ems.

dA

mtr

ak b

egan

ope

rati

ons

in 1

971.

SOU

RC

ES

Air

car

rier

, dom

esti

c, s

ched

uled

ser

vice

:19

60: C

ivil

Aer

onau

tics

Boa

rd, H

andb

ook

of A

irlin

e St

atis

tics

, 196

9 (W

ashi

ngto

n, D

C: F

ebru

ary

1970

), p

art

III,

tab

le 2

(en

plan

emen

ts);

par

t IV

, tab

le 2

(pa

ssen

-ge

r re

venu

e).

1965

-70:

Ibi

d., H

andb

ook

of A

irlin

e St

atis

tics

, 197

3 (W

ashi

ngto

n, D

C: M

arch

197

4), p

art

III,

tab

le 2

(en

plan

emen

ts);

par

t IV

, tab

le 2

(pa

ssen

ger

reve

nue)

.19

75-8

0: I

bid.

, Air

Car

rier

Fin

anci

al S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l Dec

embe

r is

sues

), p

. 1, l

ine

3; a

nd A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n, D

C:

Ann

ual D

ecem

ber

issu

es),

p. 2

, lin

e 16

(pa

ssen

ger

reve

nue

/ rev

enue

pas

seng

er e

npla

nem

ents

).

1985

-200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er F

inan

cial

Sta

tist

ics

(Was

hing

ton,

D

C: A

nnua

l Dec

embe

r is

sues

), p

. 1, l

ine

3 (p

asse

nger

rev

enue

s); A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l Dec

embe

r is

sues

), p

. 2, l

ine

16 (

pas-

seng

er r

even

ue /

reve

nue

pass

enge

r en

plan

emen

ts).

Cla

ss I

bus

, int

erci

ty:

1960

-90:

Int

erst

ate

Com

mer

ce C

omm

issi

on, T

rans

port

Sta

tist

ics

in t

he U

nite

d St

ates

, Mot

or C

arri

ers

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), p

art

2.19

95-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, S

elec

ted

Ear

ning

s D

ata,

Cla

ss I

Mot

or C

arri

ers

of P

asse

nger

s (W

ashi

ngto

n,

DC

: Ann

ual i

ssue

s).

Tra

nsit

and

com

mut

er r

ail:

1960

-200

0: A

mer

ican

Pub

lic T

rans

it A

ssoc

iati

on, T

rans

it F

act

Boo

k (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

(pa

ssen

ger

fare

s / p

asse

nger

tri

ps).

Inte

rcit

y /

Am

trak

:19

60-7

0: A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.19

75-8

0: A

mtr

ak, S

tate

and

Loc

al A

ffai

rs D

epar

tmen

t an

d Pu

blic

Aff

airs

Dep

artm

ent,

per

sona

l com

mun

icat

ion.

1985

-99:

Am

trak

, Am

trak

Ann

ual R

epor

t, S

tati

stic

al A

ppen

dix

(Was

hing

ton,

DC

: Ann

ual i

ssue

s) (

tran

spor

tati

on r

even

ues

/ Am

trak

sys

tem

pas

seng

er t

rips

).

Page 242: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter three

Section CTransportation Revenues,

Employment, and Productivity

Page 243: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 244: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Revenues, Employment, and Productivity � 225

TABL

E 3-

16: A

vera

ge P

asse

nger

Rev

enue

per

Pas

seng

er-M

ile (C

urre

nt ¢

)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

car

rier

, do

mes

tic,

sch

edu

led

ser

vice

6.1

6.1

6.0

7.7

11.5

12.2

13.4

13.5

13.8

14.0

14.1

14.0

14.6

Inde

x (1

980

= 1

00)

5353

5267

100

106

117

117

120

121

122

121

127

Cla

ss I

bus,

inte

rcit

ya2.

72.

93.

64.

97.

39.

911

.612

.212

.312

.612

.812

.8U

Inde

x (1

990

= 1

00)

2325

3142

6386

100

106

106

109

110

110

U

Co

mm

ute

r ra

il2.

93.

33.

84.

66.

712

.113

.513

.113

.714

.714

.715

.0U

Inde

x (1

990

= 1

00)

2225

2834

5090

100

9710

210

910

911

1U

Inte

rcit

y / A

mtr

akb

3.0

3.1

4.0

5.7

8.2

11.3

14.1

14.6

16.6

17.3

17.5

18.4

U

Inde

x (1

990

= 1

00)

2122

2840

5880

100

103

118

123

124

130

U

Co

nsu

mer

Pri

ce In

dex

(19

82-8

4 =

100)

3032

3954

8210

813

115

215

716

1c 1

63d16

717

2

KE

Y: U

= d

ata

are

not a

vaila

ble.

aR

egul

ar r

oute

inte

rcit

y se

rvic

e.b

Am

trak

beg

an o

pera

tion

s in

197

1.c

Beg

inni

ng in

199

8, d

ata

refl

ect

chan

ges

in s

erie

s co

mpo

siti

on a

nd r

enam

ing.

dB

egin

ning

in 1

999,

dat

a re

flec

t ch

ange

s in

the

for

mul

a us

ed f

or c

alcu

lati

ng t

he b

asic

com

pone

nts

of t

he C

onsu

mer

Pri

ce I

ndex

.

SOU

RC

ES

Air

car

rier

, dom

esti

c, s

ched

uled

ser

vice

:19

60: C

ivil

Aer

onau

tics

Boa

rd, H

andb

ook

of A

irlin

e St

atis

tics

, 196

9 (

Was

hing

ton,

DC

: Feb

ruar

y 19

70),

par

t II

I, t

able

2 (

pass

enge

r-m

iles)

; par

t IV

, tab

le 2

(pa

s-se

nger

rev

enue

s).

1965

-70:

Ibi

d., H

andb

ook

of A

irlin

e St

atis

tics

, 197

3 (W

ashi

ngto

n, D

C: M

arch

197

4), p

art

III,

tab

le 2

(pa

ssen

ger-

mile

s); p

art

IV, t

able

2 (

pass

enge

r re

venu

es).

1975

-80:

Ibi

d., A

ir C

arri

er F

inan

cial

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual D

ecem

ber

issu

es),

p. 2

, lin

e 3.

Ib

id.,

Air

Car

rier

Tra

ffic

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual D

ecem

ber

issu

es),

p. 4

, lin

e 9.

1985

-200

1: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er F

inan

cial

Sta

tist

ics

(Was

hing

ton,

D

C: A

nnua

l Dec

embe

r is

sues

), p

. 1, l

ine

3.Ib

id.,

Air

Car

rier

Tra

ffic

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual D

ecem

ber

issu

es),

p. 2

, lin

e 9

(tot

al p

asse

nger

ope

rati

ng r

even

ues

/ tot

al r

even

ue p

asse

nger

-mile

s).

Inte

rcit

y cl

ass

I bu

s an

d co

mm

uter

rai

l:19

60-9

9: E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n in

Am

eric

a, 2

000

(Was

hing

ton,

DC

: 200

1), p

. 18.

Inte

rcit

y /

Am

trak

:19

60-7

0: A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.19

75-8

0: E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n in

Am

eric

a, 1

994

(Lan

sdow

ne, V

A: 1

994)

, p. 5

0.19

85-9

9: A

mtr

ak. A

mtr

ak A

nnua

l Rep

ort,

Sta

tist

ical

App

endi

x (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

(tr

ansp

orta

tion

rev

enue

s / p

asse

nger

-mile

s).

Con

sum

er P

rice

Ind

ex:

1960

-200

0: C

ounc

il of

Eco

nom

ic A

dvis

ors,

Eco

nom

ic R

epor

t of

the

Pre

side

nt, 2

002

(W

ashi

ngto

n, D

C: 2

002)

, tab

le B

-60.

Page 245: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

226 � Chapter 3: Transportation and the EconomyTA

BLE

3-17

: Ave

rage

Fre

ight

Rev

enue

Per

Ton

-mile

(Cur

rent

¢)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Air

car

rier

, do

mes

tic,

sch

edu

led

serv

ice

22.8

20.5

21.9

28.2

46.3

48.8

64.6

76.5

81.5

79.8

R82

.780

.978

.078

.0

Inde

x (1

980

= 1

00)

4944

4761

100

105

140

165

176

172

R17

917

516

816

8

Tru

cka

6.3

6.5

8.5

11.6

18.0

22.9

24.4

25.1

26.0

26.1

26.2

26.2

UU

Inde

x (1

990

= 1

00)

2626

3548

7494

100

103

107

107

107

107

UU

Cla

ss I

rail

1.40

1.27

1.43

2.04

2.87

3.04

2.66

2.40

2.35

2.40

2.34

2.28

2.26

UIn

dex

(199

0 =

100

)53

4854

7710

811

410

090

8890

8886

85U

Bar

ge

N0.

350.

300.

520.

770.

800.

760.

730.

730.

740.

740.

74 U

UIn

dex

(199

0 =

100

)N

4640

6810

210

610

097

9697

9898

UU

Oil

pip

elin

e0.

320.

280.

270.

37c 1

.33

1.57

1.46

1.51

1.40

1.40

1.38

1.46

UU

Inde

x (1

990

= 1

00)

2219

1925

9110

710

010

496

9695

100

UU

Pro

du

cer

Pri

ce In

dex

(19

82 =

100

)b33

3439

5888

105

119

128

131

132

131

133

138

141

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

; U =

dat

a ar

e un

avai

labl

e.

aG

ener

al f

reig

ht c

omm

on c

arri

ers,

mos

t of

whi

ch a

re L

TL

(le

ss-t

han-

truc

kloa

d) c

arri

ers.

bTo

tal f

inis

hed

good

s.c

Ref

lect

s en

tran

ce o

f A

lask

a pi

pelin

e m

ovin

g cr

ude

petr

oleu

m t

o U

.S. r

efin

erie

s be

twee

n 19

75 a

nd 1

980.

SOU

RC

ES

Air

car

rier

, dom

esti

c, s

ched

uled

ser

vice

:19

60: C

ivil

Aer

onau

tics

Boa

rd, H

andb

ook

of A

irlin

e St

atis

tics

, 196

9 (

Was

hing

ton,

DC

: 197

0), p

art

III,

tab

les

2 an

d 13

.19

65-7

0: I

bid.

, Han

dboo

k of

Air

line

Stat

isti

cs, 1

973

(Was

hing

ton,

DC

: 197

4), p

art

III,

tab

les

2 an

d 13

.19

75-8

0: I

bid.

, Air

Car

rier

Tra

ffic

Sta

tist

ics

(Was

hing

ton,

DC

: 197

6, 1

981)

, pp.

4 a

nd 1

4 (D

ecem

ber

1976

) an

d pp

. 2 a

nd 3

(D

ecem

ber

1981

).19

85-2

001:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, O

ffic

e of

Air

line

Info

rmat

ion,

Air

Car

rier

Fin

anci

al S

tati

stic

s (W

ashi

ngto

n,

DC

: Ann

ual D

ecem

ber

issu

es),

p. 1

, lin

e 4.

Ibid

., A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l Dec

embe

r is

sues

), p

. 2, l

ine

18 (

frei

ght

oper

atin

g re

venu

es/f

reig

ht r

even

ue t

on-m

iles)

.

Tru

ck, b

arge

, and

oil

pipe

line:

1960

-99:

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

000)

, p. 1

7.

Cla

ss I

rai

l:19

60-2

000:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: 200

1), p

. 30.

Prod

ucer

Pri

ce I

ndex

:19

60-2

001:

Cou

ncil

of E

cono

mic

Adv

isor

s, E

cono

mic

Rep

ort

of t

he P

resi

dent

, 200

0 (

Was

hing

ton,

DC

: Aug

ust

2002

), t

able

B-6

5.

Page 246: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Revenues, Employment, and Productivity � 227

TABL

E 3-

18: T

otal

Ope

ratin

g Re

venu

es (C

urre

nt $

mill

ions

)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

carr

ier,

dom

estic

, all

serv

ices

2,17

83,

691

7,18

012

,020

26,4

4037

,629

57,9

6170

,885

76,8

9182

,250

86,4

9490

,931

98,8

96

Truc

king

aN

NN

NN

N12

7,31

416

1,80

617

4,74

318

3,15

319

5,70

620

9,43

822

4,46

4

Cla

ss I

bus,

inte

rcity

463

607

722

955

1,39

71,

233

943

917

912

996

999

1,26

81,

088

Tran

sitb

1,40

71,

444

1,70

73,

451

6,51

012

,195

16,0

5318

,241

19,1

5119

,515

21,0

6222

,220

P24

,243

Cla

ss I

rail

9,51

410

,208

11,9

9216

,402

28,2

5827

,586

28,3

7032

,279

32,6

9333

,118

33,1

5133

,521

34,1

02

Inte

rcity

/ A

mtr

akc

NN

N25

345

483

21,

308

1,49

01,

550

1,66

92,

244

2,01

12,

111

Wat

er tr

ansp

orta

tion

(dom

estic

)d1,

722

1,82

22,

070

3,29

37,

219

7,70

37,

940

7,71

27,

283

6,94

06,

824

6,79

5U

Oil

pipe

linee

895

1,05

11,

396

2,22

07,

548

8,91

08,

506

9,07

78,

637

8,63

28,

579

9,06

7U

Gas

pip

elin

e (in

vest

or-o

wne

d)f

8,70

011

,500

16,4

0030

,551

85,9

1810

3,94

566

,027

58,4

3572

,025

U57

,548

R59

,142

72,7

12

Tra

nsm

issi

on c

ompa

nies

3,19

04,

088

5,92

811

,898

41,6

0445

,738

21,7

5612

,092

12,0

5010

,339

9,45

0R

9,55

511

,140

Dis

trib

utio

n co

mpa

nies

NN

N5,

938

14,0

1321

,510

18,7

5019

,421

30,4

0730

,864

28,1

82R

28,1

3534

,761

Inte

grat

ed c

ompa

nies

NN

N6,

962

17,3

0017

,396

10,1

1710

,899

11,9

4112

,125

2,97

4R

3,08

63,

760

Com

bina

tion

com

pani

esN

NN

5,75

313

,001

19,3

0115

,404

16,0

2317

,627

U16

,942

R18

,366

23,0

51

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aD

ata

from

199

0 th

roug

h 19

97 in

clud

e lo

cal t

ruck

ing

(421

2), t

ruck

ing,

exc

ept l

ocal

(421

3), l

ocal

truc

king

, wit

hout

sto

rage

(421

4), a

nd c

ouri

er s

ervi

ces,

exc

ept a

ir

(421

5) b

ased

on

SIC

(St

anda

rd I

ndus

tria

l Cla

ssif

icat

ion)

. For

199

8 an

d la

ter,

data

incl

udes

tru

ck t

rans

port

atio

n (4

84)

and

cour

iers

and

mes

seng

ers

(492

) ba

sed

on N

AIC

S (N

orth

Am

eric

an I

ndus

try

Cla

ssif

icat

ion

Syst

em).

The

refo

re, d

ata

from

199

8 on

war

d ar

e no

t di

rect

ly c

ompa

rabl

e w

ith

data

pri

or t

o 19

98.

bE

xclu

des

com

mut

er r

ail,

auto

mat

ed g

uide

way

, urb

an b

oat,

dem

and

resp

onsi

ve, a

nd m

ost

rura

l and

sm

alle

r sy

stem

s pr

ior

to 1

984.

Inc

lude

s op

erat

ing

assi

stan

ce.

cA

mtr

ak b

egan

ope

rati

ons

in 1

971.

dIn

clud

es f

orei

gn t

raff

ic m

ovin

g on

dom

esti

c in

land

wat

erw

ays.

eO

il pi

pelin

e re

venu

es a

re m

uch

smal

ler

than

gas

pip

elin

e re

venu

es b

ecau

se o

il pi

pelin

e co

mpa

nies

are

com

mon

car

rier

s th

at in

clud

e tr

ansp

orta

tion

cos

ts o

nly.

fD

ata

are

not

dire

ctly

com

para

ble

from

yea

r to

yea

r du

e to

acq

uisi

tion

and

mer

gers

. Pri

or t

o 19

75, p

ipel

ine

com

pani

es a

re n

ot c

ateg

oriz

ed b

y di

stri

buti

on,

inte

grat

ed, o

r co

mbi

nati

on. T

otal

num

bers

for

the

se c

ompa

nies

are

196

0 =

5,50

5; 1

965

= 7,

437;

197

0 =

10,5

42. I

n 19

97, t

he A

mer

ican

Gas

Ass

ocia

tion

re

vise

d th

e da

taba

se t

hat

iden

tifi

es c

ompa

nies

by

type

(di

stri

buti

on, i

nteg

rate

d, o

r tr

ansm

issi

on).

Thi

s re

clas

sifi

cati

on o

f co

mpa

nies

has

res

ulte

d in

num

erou

s ad

diti

ons

to t

he d

istr

ibut

ion

com

pany

sam

ple,

in p

arti

cula

r fr

om t

he in

tegr

ated

com

pany

sam

ple.

Con

tinue

d ne

xt p

age

Page 247: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

228 � Chapter 3: Transportation and the EconomyTA

BLE

3-18

: Tot

al O

pera

ting

Reve

nues

(Cur

rent

$ m

illio

ns) (

Cont

inue

d)

NO

TE

In J

anua

ry 2

000,

the

Am

eric

an P

ublic

Tra

nsit

Ass

ocia

tion

cha

nged

its

nam

e to

the

Am

eric

an P

ublic

Tra

nspo

rtat

ion

Ass

ocia

tion

(A

PTA

). T

he A

PTA

Tra

nsit

Fac

t B

ook

is n

ow r

efer

red

to a

s th

e Pu

blic

Tra

nspo

rtat

ion

Fact

Boo

k.

SOU

RC

ES

Air

car

rier

, dom

esti

c, a

ll se

rvic

es:

1960

-70:

Civ

il A

eron

auti

cs B

oard

, Han

dboo

k of

Air

line

Stat

isti

cs, 1

973

(Was

hing

ton,

DC

: Mar

ch 1

974)

.19

75-8

0: I

bid.

, Air

Car

rier

Fin

anci

al S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, p. 1

.19

85-2

000:

U.S

. Dep

artm

ent o

f Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er F

inan

cial

Sta

tist

ics

(Was

hing

ton,

D

C: A

nnua

l Dec

embe

r is

sues

), p

. 1.

Tru

ckin

g:19

90-9

7: U

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

the

Cen

sus,

Tra

nspo

rtat

ion

Ann

ual S

urve

y, 1

998

(Was

hing

ton,

DC

: Jan

uary

200

0), t

able

1.

1998

-200

0: I

bid.

, Ser

vice

Ann

ual S

urve

y, 2

000

(Was

hing

ton,

DC

: Jul

y 20

01),

tab

le 2

.2.

Inte

rcit

y C

lass

I b

us:

1960

-90:

Int

erst

ate

Com

mer

ce C

omm

issi

on, A

nnua

l Rep

ort

of t

he I

nter

stat

e C

omm

erce

Com

mis

sion

(W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.19

95-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, S

elec

ted

Ear

ning

s D

ata,

Cla

ss 1

Mot

or C

arri

ers

of P

asse

nger

s (W

ashi

ng-

ton,

DC

: Ann

ual i

ssue

s).

Tra

nsit

:19

60-2

000:

Am

eric

an P

ublic

Tra

nspo

rtat

ion

Ass

ocia

tion

, Pub

lic T

rans

port

atio

n Fa

ct B

ook

(Was

hing

ton,

DC

: Feb

ruar

y 20

02),

tab

le 1

7, a

nd s

imila

r ta

bles

in

earl

ier

edit

ions

of

the

APT

A T

rans

it F

act

Boo

k.

Cla

ss I

rai

l:19

60-2

000:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: 200

0), p

. 12.

Inte

rcit

y/A

mtr

ak:

1975

-80:

Am

trak

, Sta

te a

nd L

ocal

Aff

airs

Dep

artm

ent

and

Publ

ic A

ffai

rs D

epar

tmen

t, p

erso

nal c

omm

unic

atio

n.19

85-2

000:

Ibi

d., A

mtr

ak A

nnua

l Rep

ort,

Sta

tist

ical

App

endi

x (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.

Wat

er t

rans

port

atio

n:19

60-9

9: E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n in

Am

eric

a (W

ashi

ngto

n, D

C: 2

000)

, p. 4

-7.

Oil

pipe

line:

1960

-99:

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica

(Was

hing

ton,

DC

: 200

0), p

. 4-7

.

Gas

pip

elin

e:19

60-2

000:

Am

eric

an G

as A

ssoc

iati

on, G

as F

acts

(A

rlin

gton

, VA

: Ann

ual i

ssue

s), t

able

s 12

-1, 1

2-2,

12-

3, a

nd 1

2-4.

Page 248: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Revenues, Employment, and Productivity � 229

TABL

E 3-

19: E

mpl

oym

ent i

n Fo

r-Hi

re T

rans

porta

tion

and

Sele

cted

Tra

nspo

rtatio

n-Re

late

d In

dust

riesa

(Tho

usan

ds)

SIC

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Tota

l U.S

. lab

or

forc

eb54

,189

60,7

6370

,880

76,9

4590

,406

97,3

8710

9,40

311

7,19

111

9,60

812

2,69

012

5,86

512

8,91

6R

131,

720

131,

922

Fo

r-h

ire

tran

spo

rtat

ion

ind

ust

ry45

Air

191

229

352

363

453

522

968

1,06

81,

107

1,13

41,

181

1,22

7R

1,28

01,

266

42Tr

ucki

ng a

nd w

areh

ousi

ng85

696

41,

083

1,10

81,

280

1,36

11,

395

1,58

71,

637

1,67

71,

744

1,81

0R

1,84

71,

848

41L

oca

l an

d in

teru

rban

p

asse

ng

er t

ran

sit

413

Inte

rcity

and

rur

al b

us41

4243

4038

3526

2424

2224

24R

2525

411

Loca

l and

sub

urba

nU

UU

6979

9214

120

321

822

923

623

823

323

641

5S

choo

l bus

cN

NN

6580

9111

113

113

213

714

114

614

714

8

412

Taxi

121

110

106

8553

3832

3131

3131

3232

32

Oth

er lo

cal a

nd in

teru

rban

d12

311

813

111

1622

2831

3334

3638

R40

38

40R

ailro

ad88

573

563

454

853

235

927

923

823

122

723

123

5R

237

234

44W

ater

N22

821

219

421

118

517

717

517

417

918

118

6R

194

192

46Li

quid

pip

elin

e23

2018

1821

1919

1515

1414

13R

1415

492

Nat

ura

l gas

pip

elin

ee

Dis

trib

utio

nN

NN

5152

6265

6280

7571

R71

70U

Tran

smis

sion

3130

3237

4546

3728

3228

28R

2926

U

Inte

grat

edN

NN

5553

4340

3613

1212

66

UC

ombi

natio

nN

NN

5252

5350

R43

3931

31R

2623

U

Non

inve

stor

-ow

ned

NN

N11

1312

1211

169

12R

1111

U

47Tr

ansp

orta

tion

serv

ices

fN

8511

513

419

827

533

640

141

844

145

446

3R

470

463

Tota

l fo

r-h

ire

tran

spo

rtat

ion

2,27

12,

560

2,72

62,

841

3,17

53,

214

3,71

5R

4,08

44,

199

4,27

84,

427

R4,

555

4,65

3U

37E

qu

ipm

ent

man

ufa

ctu

rin

g37

2A

ircra

ft an

d pa

rts

605

601

644

499

633

616

712

451

458

501

525

496

R46

446

1

371

Mot

or v

ehic

les

and

equi

pmen

t72

484

379

979

278

988

381

297

196

798

699

51,

018

R1,

017

947

374

Rai

lroad

equ

ipm

ent

4356

5157

7133

3338

3634

3738

3630

373

Shi

p an

d bo

at b

uild

ing

and

repa

iring

141

160

172

194

221

187

188

160

159

158

167

167

R16

816

1

301

Tire

s an

d in

ner

tube

s10

510

211

612

411

594

8480

8078

8079

7975

Oth

erg

155

193

167

157

167

241

244

172

165

167

168

168

R16

816

1

Tota

l equ

ipm

ent m

anuf

actu

ring

1,77

31,

955

1,94

91,

824

1,99

52,

054

2,07

31,

870

1,86

41,

923

1,97

31,

967

R1,

931

1,83

5

Rel

ated

ind

ust

ries

553

Aut

omot

ive

and

hom

e su

pply

st

ores

UU

U21

226

130

433

736

938

039

239

740

4R

408

410

75A

utom

otiv

e re

pair,

ser

vice

s,

and

park

ing

UU

U43

957

173

091

41,

020

1,08

01,

120

1,14

51,

196

R1,

234

1,25

7

Con

tinue

d ne

xt p

age

Page 249: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

230 � Chapter 3: Transportation and the Economy

554

Gas

olin

e se

rvic

e st

atio

ns46

152

261

362

256

158

864

764

966

967

668

066

0R

652

648

161

Hig

hway

and

str

eet c

onst

ruct

ion

UU

UU

U26

423

922

823

624

325

728

0R

281

289

501

Mot

or v

ehic

les,

par

ts, a

nd

supp

lies

UU

U38

243

445

445

649

250

351

351

752

4R

517

502

551

New

and

use

d ca

r de

aler

sU

UU

731

745

856

924

996

1,03

11,

046

1,04

71,

080

R1,

112

1,12

1

Oth

er a

utom

otiv

e re

tailh

NN

N11

212

214

015

517

618

719

720

822

3R

239

246

Tota

l rel

ated

ind

ust

ries

461

522

613

2,49

82,

694

3,33

63,

672

3,93

04,

086

4,18

64,

251

4,36

8R

4,44

24,

473

Gov

ern

men

t em

plo

ymen

ti

U.S

. DO

Tj

NN

104

112

112

100

104

101

9998

9910

010

010

2

Sta

te a

nd lo

cal h

ighw

ayk

532

577

607

604

559

549

569

543

l N53

153

054

354

655

2

Tota

l gov

ern

men

t em

plo

ymen

t53

257

771

171

667

164

967

364

499

629

629

643

646

654

TOTA

L t

ran

spo

rtat

ion

-rel

ated

la

bo

r fo

rce

5,03

65,

614

5,99

97,

880

8,53

59,

252

10,1

33R

10,5

2810

,248

11,0

1611

,279

R11

,533

11,6

72U

KE

Y: N

= d

ata

do n

ot e

xist

; SIC

= s

tand

ard

indu

stry

cla

ssifi

catio

n; R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aA

nnua

l ave

rage

s.b

Exc

lude

s fa

rm e

mpl

oym

ent.

cD

oes

not

incl

ude

driv

ers

empl

oyed

by

scho

ol d

istr

icts

.d

Dif

fere

nce

betw

een

the

tota

l of

SIC

41

and

the

sum

of

411,

412

, 413

, and

415

.e

In 1

997,

the

Am

eric

an G

as A

ssoc

iati

on r

evis

ed t

he d

atab

ase

that

iden

tifi

es c

ompa

nies

by

type

(e.

g., d

istr

ibut

ion,

inte

grat

ed, o

r tr

ansm

issi

on).

Thi

s re

clas

sifi

-ca

tion

has

res

ulte

d in

add

itio

ns to

the

dis

trib

utio

n an

d re

duct

ions

to

the

inte

grat

ed c

ompa

ny c

ateg

orie

s be

ginn

ing

wit

h th

e re

vise

d da

ta in

199

6. A

ddit

iona

lly,

data

by

com

pany

typ

e ar

e no

t di

rect

ly c

ompa

rabl

e fr

om y

ear

to y

ear

due

to a

cqui

siti

ons

and

mer

gers

.f

Tra

nspo

rtat

ion

serv

ices

are

def

ined

as

serv

ices

inci

dent

al t

o tr

ansp

orta

tion

, suc

h as

for

war

ding

and

pac

king

; mot

or v

ehic

le in

spec

tion

s; a

nd f

reig

ht b

roke

r, to

ur o

pera

tor,

and

trav

el a

genc

y se

rvic

es, e

tc.

gT

he d

iffe

renc

e be

twee

n th

e to

tal o

f SI

C 3

7 an

d th

e su

m o

f 37

1, 3

72, 3

73, a

nd 3

74.

hT

he d

iffe

renc

e be

twee

n th

e to

tal o

f SI

C 5

5 an

d th

e su

m o

f 55

1, 5

53, a

nd 5

54.

iN

ot a

ll go

vern

men

t ag

enci

es a

re in

clud

ed (

e.g.

, the

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

).j

U.S

. Dep

artm

ent

of T

rans

port

atio

n w

as c

reat

ed in

196

6. D

ata

are

for

fisc

al y

ear

and

incl

ude

perm

anen

t ci

vilia

ns a

s w

ell a

s te

mpo

rary

em

ploy

ees

and

mili

tary

. k

Full-

tim

e eq

uiva

lent

em

ploy

men

t. D

ata

prio

r to

198

6 ar

e no

t dir

ectl

y co

mpa

rabl

e to

dat

a fr

om la

ter

year

s du

e to

a c

hang

e in

the

way

ful

l-ti

me

equi

vale

nt w

as

calc

ulat

ed. F

ull-

tim

e eq

uiva

lent

was

not

cal

cula

ted

for

1985

. l

Due

to

a ch

ange

in t

he r

efer

ence

per

iod,

fro

m O

ctob

er t

o M

arch

, the

Oct

ober

199

6 A

nnua

l Sur

vey

of G

over

nmen

t E

mpl

oym

ent

and

Payr

oll w

as n

ot

cond

ucte

d.

TABL

E 3-

19: E

mpl

oym

ent i

n Fo

r-Hi

re T

rans

porta

tion

and

Sele

cted

Tra

nspo

rtatio

n-Re

late

d In

dust

riesa

(Tho

usan

ds) (

Cont

inue

d)

SIC

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Page 250: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Revenues, Employment, and Productivity � 231

TABL

E 3-

19: E

mpl

oym

ent i

n Fo

r-Hi

re T

rans

porta

tion

and

Sele

cted

Tra

nspo

rtatio

n-Re

late

d In

dust

riesa

(Tho

usan

ds) (

Cont

inue

d)

NO

TE

The

em

ploy

men

t to

tals

in t

able

s 3-

19 a

nd 3

-20

diff

er. T

able

3-1

9 sh

ows

empl

oym

ent

in t

rans

port

atio

n an

d se

lect

ed t

rans

port

atio

n-re

late

d in

dust

ries

. Tab

le 3

-20

sho

ws

empl

oym

ent

by t

rans

port

atio

n oc

cupa

tion

. Som

e em

ploy

ees

of t

rans

port

atio

n in

dust

ries

hav

e no

ntra

nspo

rtat

ion

jobs

(e.

g., a

boo

kkee

per

in a

tr

ucki

ng f

irm

), a

nd s

ome

peop

le w

ith

tran

spor

tati

on o

ccup

atio

ns d

o no

t w

ork

in t

he t

rans

port

atio

n in

dust

ry (

e.g.

, a t

ruck

dri

ver

for

a co

nstr

ucti

on f

irm

).

Beg

inni

ng in

Jan

uary

199

9, d

ata

are

not

stri

ctly

com

para

ble

wit

h da

ta f

or 1

998

and

earl

ier

year

s be

caus

e of

rev

isio

ns in

the

pop

ulat

ion

cont

rols

use

d in

the

ho

useh

old

surv

ey.

SOU

RC

ES

All

data

, exc

ept

as n

oted

:19

60-8

5: U

.S. D

epar

tmen

t of

Lab

or, B

urea

u of

Lab

or S

tati

stic

s, E

mpl

oym

ent,

Hou

rs a

nd E

arni

ngs,

Uni

ted

Stat

es, 1

909-

1994

(W

ashi

ngto

n, D

C:

Sept

embe

r 19

94).

19

90-2

001:

Ibi

d., I

nter

net

site

ww

w.b

ls.g

ov/d

atah

ome.

htm

, dat

abas

e qu

ery

for

indi

vidu

al s

erie

s as

of

July

24,

200

2.

Nat

ural

gas

pip

elin

e:19

75-2

000:

Am

eric

an G

as A

ssoc

iati

on, G

as F

acts

(A

rlin

gton

, VA

: Ann

ual i

ssue

s), t

able

14-

2 an

d si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

Gov

ernm

ent

empl

oym

ent:

USD

OT

:19

70-7

5: U

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

the

Cen

sus,

Sta

tist

ical

Abs

trac

t of

the

Uni

ted

Stat

es, 1

976

(Was

hing

ton,

DC

: 197

6), t

able

409

, and

U.S

. D

epar

tmen

t of

Tra

nspo

rtat

ion,

U.S

. Coa

st G

uard

, G-W

PM, O

ffic

e of

Mili

tary

Per

sonn

el, p

erso

nal c

omm

unic

atio

n.

1980

-85:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, O

ffic

e of

the

Sec

reta

ry o

f T

rans

port

atio

n, D

OT

Em

ploy

men

t Fa

cts,

A R

epor

t to

Man

agem

ent

(Was

hing

ton,

DC

: A

nnua

l iss

ues)

. 19

90-2

001:

Ibi

d., D

OT

Wor

kfor

ce D

emog

raph

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Stat

e an

d lo

cal h

ighw

ay:

1960

-90:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of t

he C

ensu

s, S

tati

stic

al A

bstr

act

of t

he U

nite

d St

ates

, 199

3 (W

ashi

ngto

n, D

C: 1

993)

, tab

le 5

00 a

nd s

imila

r ta

bles

in e

arlie

r ed

itio

ns.

1995

-200

1: I

bid.

, Int

erne

t si

te h

ttp:

//ww

w.c

ensu

s.go

v/pu

b/go

vs/w

ww

/ape

sstl

.htm

l as

of J

uly

24, 2

002.

Page 251: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

232 � Chapter 3: Transportation and the EconomyTA

BLE

3-20

: Em

ploy

men

t in

Tran

spor

tatio

n Oc

cupa

tions

(Tho

usan

ds)

1985

1990

1995

1996

1997

1998

1999

2000

2001

Tota

l wor

kers

, 16

year

s an

d ov

er10

7,15

011

8,79

312

4,90

012

6,70

812

9,55

813

1,46

313

3,48

813

5,20

813

5,07

3

Tota

l wor

kers

in tr

ansp

orta

tion

occu

patio

ns3,

681

4,03

94,

308

4,45

14,

534

4,49

94,

643

4,68

44,

824

Tran

spor

tatio

n oc

cupa

tion

as p

erce

nt o

f tot

alw

orke

rs, 1

6 ye

ars

and

over

3.4%

3.4%

3.4%

3.5%

3.5%

3.4%

3.5%

3.5%

3.6%

Mo

tor

veh

icle

op

erat

ors

Sup

ervi

sors

5176

8785

9588

8677

88Tr

uck

driv

ers

2,41

22,

627

2,86

03,

018

3,07

53,

012

3,11

63,

088

3,15

6

Driv

ers-

sale

s w

orke

rs21

420

115

815

615

015

916

016

716

6B

us d

river

s39

444

352

651

247

247

149

053

957

1Ta

xica

b dr

iver

s an

d ch

auffe

urs

180

213

211

203

248

273

271

280

305

Par

king

lot a

ttend

ants

4553

5046

4662

6860

61M

otor

tran

spor

tatio

n oc

cupa

tions

, NE

C2

58

44

311

119

Tota

l3,

298

3,61

83,

900

4,02

44,

090

4,06

94,

202

4,22

24,

356

Rai

l tra

nsp

ort

atio

nR

ailro

ad c

ondu

ctor

s an

d ya

rdm

aste

rs36

3633

4548

5045

4842

Loco

mot

ive

oper

atin

g oc

cupa

tions

5946

5149

5341

4563

61

Rai

lroad

bra

ke, s

igna

l, an

d sw

itch

oper

ator

s46

2817

1514

79

117

Rai

l veh

icle

ope

rato

rs, N

EC

78

37

66

75

2To

tal

148

118

104

116

121

104

106

127

112

Wat

er t

ran

spo

rtat

ion

Shi

p ca

ptai

ns a

nd m

ates

, exc

ept f

ishi

ng b

oats

3227

3332

2422

3138

34S

ailo

rs a

nd d

eckh

ands

1818

2625

2130

1614

20

Mar

ine

engi

neer

s1

23

82

35

24

Brid

ge, l

ock,

and

ligh

thou

se te

nder

s8

64

55

85

31

Tota

l59

5366

7052

6357

5659

Page 252: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Revenues, Employment, and Productivity � 233

Air

tra

nsp

ort

atio

nA

irpl

ane

pilo

ts a

nd n

avig

ator

s77

114

114

114

120

113

143

129

136

Air

traf

fic c

ontr

olle

rs34

3630

3236

2624

2328

Tota

l11

115

014

414

615

613

916

715

216

4

Pu

blic

tra

nsp

ort

atio

n a

tten

dan

ts65

100

9495

115

124

111

127

133

KE

Y: N

EC

= n

ot e

lsew

here

cla

ssifi

ed.

NO

TE

SB

egin

ning

in J

anua

ry 2

000,

dat

a ar

e no

t co

mpa

rabl

e w

ith

data

for

ear

lier

year

s du

e to

new

com

posi

te e

stim

atio

n pr

oced

ures

and

rev

ised

con

trol

s us

ed in

the

ho

useh

old

surv

ey f

or p

opul

atio

n. S

ee s

ourc

e fo

r ad

diti

onal

info

rmat

ion.

The

em

ploy

men

t to

tals

in t

able

s 3-

19 a

nd 3

-20

diff

er. T

able

3-1

9 sh

ows

empl

oym

ent

in t

rans

port

atio

n an

d re

late

d in

dust

ries

; tab

le 3

-20

show

s em

ploy

men

t by

tr

ansp

orta

tion

occ

upat

ion.

Som

e em

ploy

ees

of t

rans

port

atio

n in

dust

ries

hav

e no

ntra

nspo

rtat

ion

jobs

(e.

g., a

boo

kkee

per

in a

tru

ckin

g fi

rm),

and

som

e pe

ople

in

tra

nspo

rtat

ion

occu

pati

ons

do n

ot w

ork

in t

he t

rans

port

atio

n in

dust

ry (

e.g.

, a t

ruck

dri

ver

for

a co

nstr

ucti

on f

irm

).

SOU

RC

ES

All

data

exc

ept

tota

l wor

kers

, 16

year

s an

d ov

er:

1985

, 199

0-99

: U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Em

ploy

men

t an

d E

arni

ngs

(Was

hing

ton,

DC

: Ann

ual J

anua

ry is

sues

), t

able

11

of t

he

Hou

seho

ld D

ata

Ann

ual A

vera

ges

Tab

les,

Int

erne

t si

te h

ttp:

//sta

ts.b

ls.g

ov/p

df/c

psaa

tab.

htm

as

of M

ay 3

1, 2

000.

20

00: I

bid.

, per

sona

l com

mun

icat

ion,

Aug

. 6, 2

001.

2001

: Ibi

d., p

erso

nal c

omm

unic

atio

n, A

ug. 2

3, 2

002.

Tot

al w

orke

rs, 1

6 ye

ars

and

over

: 19

85, 1

990-

2000

: U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Em

ploy

men

t an

d E

arni

ngs

(Was

hing

ton,

DC

: Jan

uary

200

1), r

evis

ed t

otal

s, t

able

1,

Inte

rnet

sit

e ht

tp://

stat

s.bl

s.go

v/pd

f/cp

saat

1.pd

f as

of

Aug

. 3, 2

001.

2001

: Ibi

d., p

erso

nal c

omm

unic

atio

n, A

ug. 2

3, 2

002.

TABL

E 3-

20: E

mpl

oym

ent i

n Tr

ansp

orta

tion

Occu

patio

ns (T

hous

ands

) (Co

ntin

ued)

1985

1990

1995

1996

1997

1998

1999

2000

2001

Page 253: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

234 � Chapter 3: Transportation and the EconomyTA

BLE

3-21

: Ave

rage

Wag

ea a

nd S

alar

y Ac

crua

ls p

er F

ull-T

ime

Equi

vale

nt E

mpl

oyee

by

Tran

spor

tatio

n In

dust

ry (C

urre

nt $

)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

199

819

99R

2000

2001

Wag

es, U

.S. l

abor

forc

e4,

822

5,80

77,

743

10,8

0815

,790

21,2

9326

,257

30,9

9632

,040

33,4

2935

,109

R36

,677

38,7

5939

,784

Tran

spo

rtat

ion

ind

ust

ry5,

835

6,98

99,

396

13,5

5020

,818

25,3

2428

,900

32,3

4933

,197

34,4

2935

,924

R37

,201

38,4

2939

,607

Air

6,92

98,

495

12,0

2717

,035

25,6

4932

,131

32,7

4736

,365

37,2

3838

,693

40,4

02R

42,5

2043

,817

45,7

15

Truc

king

and

war

ehou

sing

5,39

66,

623

8,67

212

,765

19,2

0422

,383

26,1

8029

,591

30,3

5131

,740

32,9

48R

33,9

7735

,014

35,7

44

Loca

l and

inte

rurb

an p

asse

nger

tr

ansi

t4,

877

5,55

36,

996

9,46

213

,530

15,7

0617

,517

20,1

1220

,811

21,2

0122

,086

R22

,785

23,6

6324

,439

Rai

lroad

6,24

17,

460

10,1

1014

,987

25,0

4936

,611

43,6

1451

,236

54,7

0656

,519

59,7

25R

60,5

5561

,766

64,4

95

Wat

er6,

212

7,40

210

,302

14,1

3622

,746

28,5

3133

,855

37,8

5638

,934

40,5

2442

,260

R43

,114

44,7

5146

,883

Pip

elin

es, e

xcep

t nat

ural

gas

6,95

78,

053

10,7

6516

,765

26,2

2737

,316

46,1

6757

,867

58,2

8659

,071

64,9

23R

65,3

8566

,538

66,0

71

Tran

spor

tatio

n se

rvic

esb

5,38

06,

239

8,23

211

,430

16,0

0520

,530

26,0

5830

,869

31,5

2332

,796

34,5

8136

,178

38,5

4939

,641

KE

Y: R

= r

evis

ed.

aW

ages

do

not

incl

ude

supp

lem

ents

to

wag

es a

nd s

alar

ies

such

as

pens

ion,

pro

fit-

shar

ing,

and

oth

er r

etir

emen

t pl

ans,

and

hea

lth,

life

, and

une

mpl

oym

ent

insu

ranc

e co

mpe

nsat

ion.

bE

stab

lishm

ents

furn

ishi

ng s

ervi

ces

inci

dent

al to

tran

spor

tatio

n, s

uch

as fo

rwar

ding

and

pac

king

ser

vice

s an

d th

e ar

rang

emen

t of p

asse

nger

and

frei

ght t

rans

port

atio

n.

NO

TE

SU

se c

are

in c

ompa

ring

the

dat

a in

thi

s ta

ble

wit

h th

ose

in t

able

3-2

2. T

his

tabl

e in

clud

es w

eigh

ted

part

-tim

e em

ploy

ees’

sal

arie

s. T

able

3-2

2 co

vers

onl

y fu

ll-ti

me

empl

oyee

s. 1

960-

85 d

ata

are

base

d on

the

197

2 SI

C c

odes

; 199

0-98

dat

a ar

e ba

sed

on t

he 1

987

SIC

cod

es.

Wag

e an

d sa

lary

acc

rual

s co

nsis

t of

the

mon

etar

y re

mun

erat

ion

of e

mpl

oyee

s, in

clud

ing

com

pens

atio

n of

cor

pora

te o

ffic

ers;

com

mis

sion

s, t

ips

and

bonu

ses;

vol

-un

tary

em

ploy

ee c

ontr

ibut

ions

to

cert

ain

defe

rred

com

pens

atio

n pl

ans,

suc

h as

401

(k)

plan

s; a

nd r

ecei

pts

in k

ind

that

rep

rese

nt in

com

e. I

n ot

her

wor

ds,

accr

uals

are

wag

e an

d sa

lary

ear

ned,

not

wag

e an

d sa

lary

pai

d. F

or e

xam

ple,

wag

e an

d sa

lary

ear

ned

in 1

999

but

not

paid

unt

il 20

00 a

re in

clud

ed in

acc

rual

s fo

r 19

99. H

owev

er, t

he d

iffe

renc

e be

twee

n w

age

and

sala

ry e

arne

d an

d w

age

and

sala

ry p

aid

is u

sual

ly v

ery

smal

l.

SOU

RC

E19

60-2

001:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, N

atio

nal I

ncom

e an

d Pr

oduc

ts A

ccou

nts,

tab

les

6.6b

and

6.6

c, I

nter

net

site

htt

p://

ww

w.b

ea.d

oc.g

ov/b

ea/d

n1.h

tm a

s of

Aug

. 12,

200

2.

Page 254: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Revenues, Employment, and Productivity � 235

TABL

E 3-

22: M

edia

n W

eekl

y Ea

rnin

gs o

f Ful

l-Tim

e W

age

and

Sala

ry W

orke

rs in

Tra

nspo

rtatio

n by

Det

aile

d Oc

cupa

tion

(Cur

rent

$)

1985

1990

1995

1996

1997

1998

1999

2000

2001

16 y

ears

an

d o

ver,

alla

343

412

479

490

503

523

549

576

597

Air

plan

e pi

lots

and

nav

igat

ors

738

910

956

1,13

81,

079

1,38

31,

048

1,28

31,

150

Pub

lic tr

ansp

orta

tion

atte

ndan

tsN

635

450

417

521

524

604

568

552

Mot

or v

ehic

le o

pera

tors

343

400

475

473

496

503

514

543

575

Sup

ervi

sors

, mot

or v

ehic

le o

pera

tors

N52

054

958

358

959

558

568

860

9Tr

uck

driv

ers

NN

481

481

506

516

527

564

593

Driv

ers-

sale

s w

orke

rs39

943

951

750

652

452

653

455

863

0B

us d

river

s34

435

541

939

640

542

842

846

045

7Ta

xica

b dr

iver

s an

d ch

auffe

urs

262

307

352

374

405

379

427

468

487

Non

mot

or v

ehic

le o

pera

tors

559

687

711

691

761

834

761

816

911

Rai

l tra

nspo

rtat

ion

oper

ator

s59

971

774

174

081

484

981

686

394

7

Wat

er tr

ansp

orta

tion

463

547

624

586

641

812

604

778

794

KE

Y: N

= d

ata

do n

ot e

xist

.

aE

arni

ngs

for

all f

ull-

tim

e w

orke

rs, n

ot ju

st t

rans

port

atio

n re

late

d.

NO

TE

SU

se c

are

in c

ompa

ring

the

fig

ures

in t

his

tabl

e w

ith

thos

e in

tab

le 3

-21.

Thi

s ta

ble

does

not

incl

ude

part

-tim

e em

ploy

ees.

Tabl

e 3-

21 in

clud

es w

eigh

ted

part

-tim

e em

ploy

ees’

sal

arie

s.

SOU

RC

ES

Wat

er t

rans

port

atio

n:19

85–2

000:

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

unp

ublis

hed

data

, Mar

. 1, 1

999,

Mar

. 11,

199

9, a

nd A

pr. 2

5, 2

000.

20

01: I

bid.

, unp

ublis

hed

tabl

e A

-26,

per

sona

l com

mun

icat

ion,

Aug

. 23,

200

2.

Oth

er D

ata:

19

85-2

000:

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Em

ploy

men

t an

d E

arni

ngs

(Was

hing

ton,

DC

: Ann

ual J

anua

ry is

sues

), t

able

39

of t

he H

ouse

-ho

ld D

ata

Ann

ual A

vera

ges

Tab

les.

Ava

ilabl

e at

htt

p://w

ww

.bls

.gov

/cps

/cps

aat3

9.pd

f.20

01: I

bid.

, unp

ublis

hed

tabl

e A

-26,

per

sona

l com

mun

icat

ion,

Aug

. 23,

200

2.

Page 255: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

236 � Chapter 3: Transportation and the EconomyTA

BLE

3-23

: Tot

al W

agea

and

Sal

ary

Accr

uals

by

Tran

spor

tatio

n In

dust

ry (C

urre

nt $

mill

ions

)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

R20

0020

01TO

TAL

wag

e an

d s

alar

y ac

cru

als

(All

ind

ust

ries

)R

272,

823

R36

3,70

7R

551,

472

R81

4,69

0R

1,37

7,41

6R

1,99

5,18

6R

2,75

4,60

53,

441,

060

3,63

0,14

23,

885,

977

4,19

2,10

5R

4,47

5,58

84,

836,

329

4,95

0,60

5

Tran

spor

tatio

n

Air

1,26

81,

852

4,02

95,

894

11,0

2915

,744

29,4

4036

,183

38,8

3941

,092

45,1

29R

49,2

8152

,887

54,7

21

Truc

king

and

war

ehou

sing

4,59

26,

265

9,12

313

,786

23,7

5529

,725

34,7

1544

,830

47,0

7450

,688

54,6

94R

58,6

4561

,625

62,6

23

Loca

l and

inte

rurb

an

pass

enge

r tr

ansi

t1,

307

1,42

71,

868

2,37

53,

423

4,27

25,

658

7,72

38,

366

8,86

29,

541

R10

,185

10,8

1411

,291

Rai

lroad

5,49

85,

446

6,26

88,

108

12,8

5011

,862

10,7

2911

,272

11,5

4311

,756

12,6

02R

12,6

5612

,415

12,3

83

Wat

er1,

379

1,58

42,

112

2,60

14,

572

5,05

05,

620

6,32

26,

463

6,88

97,

311

R7,

588

8,10

08,

392

Pip

elin

e, e

xcep

t nat

ural

gas

160

153

183

285

577

709

831

868

816

827

844

R85

086

592

5

Tran

spor

tatio

n se

rvic

esb

425

549

922

1,46

33,

041

5,42

08,

521

11,9

7712

,483

13,6

4314

,939

15,8

1017

,270

17,4

42

Tota

l 14

,629

17,2

7624

,505

34,5

1259

,247

72,7

8295

,514

119,

175

125,

584

133,

757

145,

060

R15

5,01

516

3,97

616

7,77

7

KE

Y: R

= r

evis

ed.

aW

ages

do

not

incl

ude

com

pens

atio

n (s

uppl

emen

ts t

o w

ages

and

sal

arie

s su

ch a

s pe

nsio

n, p

rofi

t-sh

arin

g, a

nd o

ther

ret

irem

ent

plan

s, a

nd h

ealt

h, li

fe, a

nd

unem

ploy

men

t in

sura

nce)

.b

Def

ined

as

serv

ices

inci

dent

al t

o tr

ansp

orta

tion

, suc

h as

for

war

ding

and

pac

king

ser

vice

s an

d ar

rang

ing

pass

enge

r tr

avel

and

fre

ight

tra

nspo

rtat

ion.

SOU

RC

E19

60-2

001:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, N

atio

nal I

ncom

e an

d Pr

oduc

ts A

ccou

nts,

tab

les

6.3b

and

6.3

c, I

nter

net

site

htt

p://

ww

w.b

ea.d

oc.g

ov/b

ea/d

n1.h

tm a

s of

Aug

. 12,

200

2.

Page 256: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Revenues, Employment, and Productivity � 237

TABLE 3-24: Labor Productivity Indices for Selected Transportation Industries

1960 1965 1970 1975 1980 1985 1990 1995 1996 1997 1998 1999 2000

Output per houra worked

Airb N N N N N N 93 109 111 112 R108 R109 111

Bus, Class Ic 106 128 118 107 111 96 96 110 106 125 105 R135 112

Railroad 22 32 36 43 55 82 119 156 167 170 173 R183 196

Trucking, except localb N N N N N N 111 125 131 132 130 132 131

Petroleum pipelinesc 31 49 76 91 89 100 103 116 131 134 137 R145 141

Output per employeed

Air 22 35 45 56 71 92 93 109 111 112 R108 R109 111

Bus, Class Ic 108 129 119 103 99 93 96 105 103 121 104 R133 110

Railroad 25 36 42 46 55 79 120 162 172 177 176 182 195Trucking, except local 48 56 60 64 78 94 111 125 131 132 130 132 131

Petroleum pipelinesc 30 48 75 89 89 98 102 121 139 141 146 R150 141

KEY: N = data do not exist; R = revised.

a Based on the number of paid hours.b The average weekly hours were assumed to be constant for these industries; therefore, the output per hour

worked and the output per employee measures are identical in the years for which data are given for both measures.

c Data did not meet the publication standards for the Bureau of Labor Statistics and are considered less reli-able than the published series.

d Full-time and part-time employees are counted equally. Hence, these data do not reflect output per full-time equivalent employee.

NOTEIndex, 1987 = 100.

SOURCESU.S. Department of Labor, Bureau of Labor Statistics, Industry Productivity, Internet site http://www.bls.gov/

lpc/iprdata1.htm as of Aug. 12, 2002.Ibid., personal communication, Aug. 19, 2002 (unpublished data).

Page 257: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 258: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter three

Section DGovernment Finance

Page 259: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 260: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Government Finance � 241

TABL

E 3-

25a:

Fed

eral

, Sta

te, a

nd L

ocal

Gov

ernm

ent T

rans

porta

tion-

Rela

ted

Reve

nues

and

Exp

endi

ture

s,

Fisc

al Y

ear (

Curr

ent $

mill

ions

)

1980

1985

1990

1995

1996

1997

1998

1999

2000

Tota

l go

vern

men

t re

ven

ues

32,9

77 5

2,14

069

,753

93,6

5996

,419

100,

516

111,

234

126,

895

U

Fede

ral

10,

312

18,4

0421

,384

30,1

6630

,742

31,4

4038

,934

51,9

9646

,756

Stat

e an

d lo

cal

22,

665

33,7

3548

,369

63,4

9365

,677

69,0

7672

,300

74,8

98U

Tota

l go

vern

men

t ex

pen

dit

ure

s 5

6,32

977

,230

100,

629

130,

542

133,

359

138,

361

145,

659

154,

845

U

Stat

e an

d lo

cal e

xpen

ditu

res

less

fede

ral g

rant

sa 3

1,59

248

,939

69,7

7089

,772

92,5

8596

,596

104,

355

110,

871

U

Fede

ral g

rant

s 1

4,58

118

,146

19,6

8924

,950

25,0

6126

,073

25,1

2527

,959

U

Fede

ral e

xpen

ditu

res,

less

gra

nts

Fede

ral e

xpen

ditu

res,

less

gra

nts

Fede

ral e

xpen

ditu

res,

less

gra

nts

Fede

ral e

xpen

ditu

res,

less

gra

nts

10,

156

10,1

4411

,170

15,8

1915

,712

15,6

9316

,178

16,0

1615

,885

KE

Y: R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aB

ased

on

data

fro

m t

he U

.S. D

epar

tmen

t of

Com

mer

ce, C

ensu

s B

urea

u, w

hich

use

s di

ffer

ent

defi

niti

ons

and

acco

unti

ng m

etho

ds t

han

thos

e us

ed b

y so

me

mod

al a

dmin

istr

atio

ns o

f th

e U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion.

For

exa

mpl

e, h

ighw

ay e

xpen

ditu

res

in t

his

tabl

e do

not

incl

ude

traf

fic

cont

rol a

ctiv

itie

s by

po

lice

or p

ublic

saf

ety

acti

viti

es; w

hile

the

hig

hway

exp

endi

ture

sta

tist

ics

publ

ishe

d by

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

a-ti

on d

o in

clud

e th

ese

item

s.

NO

TE

N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

ES

1980

: U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, u

npub

lishe

d da

ta.

1985

–200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Gov

ernm

ent

Tra

nspo

rtat

ion

Fina

ncia

l Sta

tist

ics

2001

(W

ashi

ngto

n, D

C:

2002

), t

able

s 3-

A, 1

3-A

, and

14-

A.

Page 261: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

242 � Chapter 3: Transportation and the EconomyTA

BLE

3-25

b: F

eder

al, S

tate

, and

Loc

al G

over

nmen

t Tra

nspo

rtatio

n-Re

late

d Re

venu

es a

nd E

xpen

ditu

res,

Fi

scal

Yea

r (Ch

aine

d 19

96 $

mill

ions

)

1980

1985

1990

1995

1996

1997

1998

1999

2000

Tota

l go

vern

men

t re

ven

ues

60,1

3572

,568

82,2

2995

,754

96,4

1998

,144

106,

994

118,

888

UFe

dera

l 18

,410

25,7

5826

,091

30,8

1330

,742

30,8

0537

,661

48,9

2842

,610

Sta

te a

nd lo

cal

41,7

2546

,809

56,1

3864

,941

65,6

7767

,339

69,3

3369

,959

U

Tota

l go

vern

men

t ex

pen

dit

ure

s10

2,32

4 R

107,

281

R11

7,45

8R

133,

498

R13

3,35

9R

134,

959

R13

9,81

6R

144,

745

U

Sta

te a

nd lo

cal e

xpen

ditu

res

less

fede

ral g

rant

sa58

,159

R67

,686

R79

,807

R91

,854

R92

,585

R94

,037

R99

,863

R10

3,36

5 U

Fede

ral g

rant

s26

,033

25,3

9724

,022

25,4

8525

,061

25,5

4724

,304

26,3

09 U

Fede

ral e

xpen

ditu

res,

less

gra

nts

18,1

3314

,198

13,6

2916

,159

15,7

1215

,376

15,6

4915

,071

14,4

77

KE

Y: R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aFi

gure

s fo

r st

ate

and

loca

l exp

endi

ture

s le

ss f

eder

al g

rant

s w

ere

dete

rmin

ed b

y ad

ding

the

tot

al n

umbe

r of

fed

eral

gra

nts

and

fede

ral e

xpen

ditu

res,

less

gra

nts

and

subt

ract

ing

the

sum

fro

m t

he t

otal

gov

ernm

ent

expe

ndit

ures

.

NO

TE

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

1980

: U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, u

npub

lishe

d da

ta.

1985

–200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Gov

ernm

ent

Tra

nspo

rtat

ion

Fina

ncia

l Sta

tist

ics

2001

(W

ashi

ngto

n, D

C:

2002

), 3

-b, 1

3-b,

and

14-

b.C

onst

ant

dolla

r de

flat

or: U

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

Eco

nom

ic A

naly

sis,

Nat

iona

l Inc

ome

and

Pro

duct

Acc

ount

s, W

ashi

ngto

n, D

C, t

able

7.1

, “C

hain

-Typ

e Pr

ice

Inde

x.”

Page 262: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Government Finance � 243

TABL

E 3-

26: S

umm

ary

of T

rans

porta

tion

Reve

nues

and

Exp

endi

ture

s fro

m O

wn

Fund

s an

d Us

er C

over

age,

Fis

cal Y

ear

(Cur

rent

and

cha

ined

199

6 $

mill

ions

)

1980

1985

1990

1995

1996

1997

1998

1999

2000

Fed

eral

rev

enu

esC

urre

nt

10,

312

18,

404

21,

384

30,

166

30,

742

31,

440

38,

934

51,

996

46,

756

Cha

ined

18,

410

25,

758

26,

091

30,

813

30,

742

30,

805

37,

661

48,

928

42,

610

Fed

eral

exp

end

itu

res

Cur

rent

2

4,73

7 2

8,29

1 3

0,85

9 4

0,76

9 4

0,77

4 4

1,76

6 4

1,30

3 4

3,97

5 4

8,40

1C

hain

ed 4

4,16

5 3

9,59

5 3

7,65

1 4

1,64

4 4

0,77

4 4

0,92

3 3

9,95

3 4

1,38

0 4

4,10

9

Fed

eral

use

r co

vera

ge

(per

cen

t)42

%65

%69

%74

%75

%75

%94

%11

8%97

%

Sta

te a

nd

loca

l rev

enu

esC

urre

nt

22,

665

33,

735

48,

369

63,

493

65,

677

69,

076

72,

300

74,

898

UC

hain

ed 4

1,72

5 4

6,80

9 5

6,13

8 6

4,94

1 6

5,67

7 6

7,33

9 6

9,33

3 6

9,95

9 U

Sta

te a

nd

loca

l exp

end

itu

res

Cur

rent

3

1,59

2 4

8,93

9 6

9,77

0 8

9,77

2 9

2,58

5 9

6,59

6 1

04,3

55 1

10,8

71 U

Cha

ined

58,

966

67,

905

80,

978

91,

820

92,

585

94,

166

100

,072

103

,559

U

Sta

te a

nd

loca

l use

r co

vera

ge

(per

cen

t)72

%69

%69

%71

%71

%72

%69

%68

% U

KE

Y: U

= d

ata

are

not a

vaila

ble.

NO

TE

N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

ES

1980

: U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, u

npub

lishe

d da

ta.

1985

–200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Gov

ernm

ent

Tra

nspo

rtat

ion

Fina

ncia

l Sta

tist

ics

2001

(W

ashi

ngto

n, D

C:

2002

), t

able

s 2-

a, 2

-b, 4

-a, a

nd 4

-b.

Con

stan

t do

llar

defl

ator

: U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, N

atio

nal I

ncom

e an

d P

rodu

ct A

ccou

nts,

Was

hing

ton,

DC

, tab

le 7

.1,

“Cha

in-T

ype

Pric

e In

dex.

Page 263: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

244 � Chapter 3: Transportation and the EconomyTA

BLE

3-27

a: T

rans

porta

tion

Reve

nues

by

Mod

e an

d Le

vel o

f Gov

ernm

ent,

Fisc

al Y

ear (

Curr

ent $

mill

ions

)

1980

1985

1990

1995

1996

1997

1998

1999

2000

TOTA

L, a

ll m

od

es 3

2,97

752

,140

69,7

5393

,659

96,4

1910

0,51

611

1,23

412

6,89

5U

Fede

ral

10,3

1218

,404

21,3

8430

,166

30,7

4231

,440

38,9

3451

,996

46,7

56S

tate

17,0

8824

,442

34,6

2944

,846

45,9

6647

,729

50,0

0951

,584

ULo

cal

5,57

79,

294

13,7

4018

,647

19,7

1121

,348

22,2

9123

,315

U

Hig

hw

ay, t

ota

l25

,268

38,1

6649

,945

66,7

4371

,179

71,8

1477

,299

88,6

68U

Fede

ral:

Hig

hway

Tru

st F

und-

Hig

hway

Acc

ount

a7,

647

12,9

0613

,453

19,3

7722

,692

21,3

1424

,307

33,8

2330

,347

Sta

te16

,287

22,9

6032

,644

42,4

1543

,353

45,0

3447

,214

48,7

84U

Loca

l1,

334

2,30

03,

848

4,95

25,

133

5,46

65,

779

6,06

1U

Air

, to

tal

4,10

06,

711

10,1

1913

,954

11,2

9813

,544

18,1

7621

,079

UFe

dera

l: A

irpo

rt a

nd A

irway

s Tr

ust F

undb

2,27

43,

593

4,94

56,

291

3,12

84,

488

8,65

411

,089

10,5

44

Sta

te19

029

955

669

570

576

576

874

4U

Loca

l1,

636

2,81

84,

617

6,96

87,

465

8,29

18,

754

9,24

6U

Tran

sit,

to

tal

2,39

75,

636

7,19

39,

352

10,1

7111

,417

11,8

7213

,186

UFe

dera

l: H

ighw

ay T

rust

Fun

d- M

ass

Tran

sit A

ccou

ntR

Z1,

420

1,97

72,

813

3,28

23,

996

4,32

65,

478

4,62

5S

tate

362

847

1,07

41,

257

1,30

81,

339

1,38

41,

404

ULo

cal

2,03

53,

369

4,14

25,

283

5,58

16,

082

6,16

26,

304

U

Wat

er, t

ota

l1,

211

1,62

62,

487

3,56

73,

733

3,70

43,

850

3,92

3U

Fede

ral:

Wat

er R

ecei

ptsc

391

485

999

1,64

41,

602

1,60

51,

611

1,56

81,

175

Sta

te24

933

535

547

960

059

064

365

1U

Loca

l57

280

71,

133

1,44

41,

531

1,50

91,

597

1,70

4U

Pip

elin

e, t

ota

lR

ZR

Z10

3531

3029

3040

Fede

ral:

Pip

elin

e S

afet

y F

und

RZ

RZ

1035

3130

2930

40

Gen

eral

su

pp

ort

, to

tal

RZ

RZ

RZ

77

78

825

Fede

ral:

Em

erge

ncy

Pre

pare

dnes

s F

und

RZ

RZ

RZ

77

78

825

KE

Y: R

Z =

no

activ

ity o

r a

valu

e of

zer

o; U

= d

ata

are

not a

vaila

ble.

aB

egin

ning

in 1

983,

a p

orti

on o

f th

e fu

el t

ax c

redi

ted

to t

he H

ighw

ay T

rust

Fun

d is

ear

mar

ked

for

tran

sit.

bT

he t

ax r

equi

rem

ent

that

allo

ws

for

the

10%

pas

seng

er t

icke

t ta

x an

d ce

rtai

n ot

her

taxe

s pa

id b

y ai

rpor

t an

d ai

rway

use

rs t

o be

tra

nsfe

rred

to

the

Air

port

an

d A

irw

ay T

rust

Fun

d ex

pire

d on

Dec

. 31,

199

5; it

was

ree

nact

ed in

Aug

ust

1996

; but

exp

ired

aga

in in

Dec

embe

r 19

96.

cW

ater

rec

eipt

s in

clud

e th

e H

arbo

r M

aint

enan

ce T

rust

Fun

d, S

t. L

awre

nce

Seaw

ay t

olls

, the

Inl

and

Wat

erw

ay T

rust

Fun

d, P

anam

a C

anal

rec

eipt

s, O

il Sp

ill

Lia

bilit

y T

rust

Fun

d, O

ffsh

ore

Oil

Pollu

tion

Fun

d, D

eep

Wat

er P

ort

Lia

bilit

y Fu

nd, a

nd e

xcis

e ta

xes

of t

he B

oat

Safe

ty P

rogr

am.

NO

TE

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

1980

: U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, u

npub

lishe

d da

ta.

1985

–200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Gov

ernm

ent

Tra

nspo

rtat

ion

Fina

ncia

l Sta

tist

ics

2001

(W

ashi

ngto

n, D

C:

2002

), t

able

2-a

.

Page 264: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Government Finance � 245

TABL

E 3-

27b:

Tra

nspo

rtatio

n Re

venu

es b

y M

ode

and

Leve

l of G

over

nmen

t, Fi

scal

Yea

r (Ch

aine

d 19

96 $

mill

ions

)

1980

1985

1990

1995

1996

1997

1998

1999

2000

TOTA

L, a

ll m

od

es 6

0,13

5 7

2,56

8 8

2,22

9 9

5,75

4 9

6,41

9 9

8,14

4 1

06,9

94 1

18,8

88 U

Fede

ral

18,

410

25,

758

26,

091

30,

813

30,

742

30,

805

37,

661

48,

928

42,

610

Sta

te 3

1,45

8 3

3,91

4 4

0,19

2 4

5,86

8 4

5,96

6 4

6,52

8 4

7,95

6 4

8,18

2 U

Loca

l 1

0,26

6 1

2,89

5 1

5,94

7 1

9,07

2 1

9,71

1 2

0,81

1 2

1,37

6 2

1,77

7 U

Hig

hw

ay, t

ota

l 4

6,09

3 5

3,11

2 5

8,76

8 6

8,23

9 7

1,17

9 7

0,11

4 7

4,32

9 8

3,05

6 U

Fede

ral:

Hig

hway

Tru

st F

und-

Hig

hway

Acc

ount

a 1

3,65

3 1

8,06

4 1

6,41

4 1

9,79

2 2

2,69

2 2

0,88

4 2

3,51

2 3

1,82

8 2

7,65

6S

tate

29,

984

31,

858

37,

888

43,

382

43,

353

43,

902

45,

276

45,

567

ULo

cal

2,4

55 3

,191

4,4

66 5

,065

5,1

33 5

,328

5,5

42 5

,661

U

Air

, to

tal

7,4

21 9

,355

12,

038

14,

264

11,

298

13,

225

17,

502

19,

766

UFe

dera

l: A

irpo

rt a

nd A

irway

s Tr

ust F

undb

4,0

60 5

,029

6,0

34 6

,426

3,1

28 4

,397

8,3

71 1

0,43

5 9

,609

Sta

te 3

49 4

16 6

46 7

11 7

05 7

45 7

37 6

95 U

Loca

l 3

,012

3,9

10 5

,359

7,1

27 7

,465

8,0

83 8

,395

8,6

36 U

Tran

sit,

to

tal

4,4

13 7

,838

8,4

66 9

,562

10,

171

11,

150

11,

421

12,

354

UFe

dera

l: H

ighw

ay T

rust

Fun

d- M

ass

Tran

sit A

ccou

nt R

Z 1

,987

2,4

12 2

,873

3,2

82 3

,915

4,1

85 5

,155

4,2

15S

tate

667

1,1

76 1

,247

1,2

85 1

,308

1,3

06 1

,327

1,3

12 U

Loca

l 3

,746

4,6

75 4

,807

5,4

03 5

,581

5,9

29 5

,909

5,8

88 U

Wat

er, t

ota

l 2

,209

2,2

63 2

,946

3,6

46 3

,733

3,6

19 3

,706

3,6

75 U

Fede

ral:

Wat

er R

ecei

ptsc

697

678

1,2

19 1

,679

1,6

02 1

,573

1,5

58 1

,475

1,0

71S

tate

458

465

412

490

600

576

616

608

ULo

cal

1,0

53 1

,119

1,3

15 1

,477

1,5

31 1

,471

1,5

31 1

,592

U

Pip

elin

e, t

ota

l R

Z R

Z 1

2 3

6 3

1 2

9 2

8 2

8 3

6Fe

dera

l: P

ipel

ine

Saf

ety

Fun

d R

Z R

Z 1

2 3

6 3

1 2

9 2

8 2

8 3

6

Gen

eral

su

pp

ort

, to

tal

RZ

RZ

RZ

7 7

7 8

8 2

3Fe

dera

l: E

mer

genc

y P

repa

redn

ess

Fun

d R

Z R

Z R

Z 7

7 7

8 8

23

KE

Y: E

= e

stim

ate;

RZ

= n

o ac

tivity

or

a va

lue

of z

ero;

U =

dat

a ar

e no

t ava

ilabl

e.

aB

egin

ning

in 1

983,

a p

orti

on o

f th

e fu

el t

ax c

redi

ted

to t

he H

ighw

ay T

rust

Fun

d is

ear

mar

ked

for

tran

sit.

bT

he t

ax r

equi

rem

ent

that

allo

ws

for

the

10%

pas

seng

er t

icke

t ta

x an

d ce

rtai

n ot

her

taxe

s pa

id b

y ai

rpor

t an

d ai

rway

use

rs t

o be

tra

nsfe

rred

to

the

Air

port

an

d A

irw

ay T

rust

Fun

d ex

pire

d on

Dec

. 31,

199

5; it

was

ree

nact

ed in

Aug

ust

1996

; but

exp

ired

aga

in in

Dec

embe

r 19

96.

cW

ater

rec

eipt

s in

clud

e th

e H

arbo

r M

aint

enan

ce T

rust

Fun

d, S

t. L

awre

nce

Seaw

ay t

olls

, the

Inl

and

Wat

erw

ay T

rust

Fun

d, P

anam

a C

anal

rec

eipt

s, O

il Sp

ill

Lia

bilit

y T

rust

Fun

d, O

ffsh

ore

Oil

Pollu

tion

Fun

d, D

eep

Wat

er P

ort

Lia

bilit

y Fu

nd, a

nd e

xcis

e ta

xes

of t

he B

oat

Safe

ty P

rogr

am.

NO

TE

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

1980

: U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, u

npub

lishe

d da

ta.

1985

–200

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

,Gov

ernm

ent

Tra

nspo

rtat

ion

Fina

ncia

l Sta

tist

ics

2001

(W

ashi

ngto

n, D

C:

2002

), t

able

2-b

.C

onst

ant

dolla

r de

flat

or: U

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

Eco

nom

ic A

naly

sis,

Nat

iona

l Inc

ome

and

Pro

duct

Acc

ount

s,W

ashi

ngto

n, D

C, t

able

7.1

, “C

hain

-Typ

e Pr

ice

Inde

x.”

Page 265: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

246 � Chapter 3: Transportation and the EconomyTA

BLE

3-28

: Cas

h Ba

lanc

es o

f the

Tra

nspo

rtatio

n-Re

late

d Fe

dera

l Tru

st F

unds

, Fis

cal Y

ear (

$ m

illio

ns)

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Air

po

rt /

Air

way

Tru

st F

un

dC

urre

nt $

5,44

27,

426

14,3

5511

,365

7,69

26,

358

9,41

112

,446

13,9

3414

,485

Cha

ined

199

6 $

9,47

39,

814

17,1

3311

,691

7,69

26,

256

9,17

0R

11,8

4412

,874

13,1

57

Hig

hw

ay T

rust

Fu

nd

Hig

hway

acc

ount

Cur

rent

$10

,999

10,3

619,

629

9,42

111

,658

12,5

758,

519

19,2

2622

,553

20,3

72

Cha

ined

199

6 $

19,1

4613

,692

11,4

939,

691

11,6

5812

,374

8,30

1R

18,2

9720

,838

18,5

05

Tran

sit a

ccou

ntC

urre

nt $

N2,

524

7,15

59,

579

9,52

59,

857

10,0

519,

753

8,54

77,

368

Cha

ined

199

6 $

N3,

336

8,54

09,

854

9,52

59,

699

9,79

39,

281

7,89

76,

693

Har

bo

r M

ain

ten

ance

Tru

st F

un

dC

urre

nt $

NN

3062

186

51,

106

1,24

61,

736

1,62

11,

777

Cha

ined

199

6 $

NN

3663

986

51,

088

1,21

41,

652

1,49

81,

614

Inla

nd

Wat

erw

ay T

rust

Fu

nd

Cur

rent

$N

172

281

238

275

300

327

357

364

389

Cha

ined

199

6 $

N22

733

524

527

529

531

934

033

635

3

Oil

Sp

ill L

iab

ility

Tru

st F

un

dC

urre

nt $

NN

345

1,12

11,

124

1,11

01,

083

1,01

71,

156

1,14

3C

hain

ed 1

996

$N

N41

21,

153

1,12

41,

092

1,05

596

81,

068

1,03

8

TOTA

L a

ll fu

nd

sC

urr

ent

$16

,441

20,4

8331

,795

32,3

4531

,139

31,3

0630

,637

44,5

3548

,175

45,5

34C

hai

ned

199

6 $

28,6

1927

,069

37,9

4933

,273

31,1

3930

,805

29,8

52R

42,3

8244

,512

41,3

61

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

.

SOU

RC

ES

1980

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, T

rans

port

atio

n R

ecei

pts

and

Out

lays

in t

he F

eder

al B

udge

t, F

isca

l Yea

rs

1977

-94

(Was

hing

ton,

DC

: Apr

il 19

97),

tab

le 1

-3.

1995

-99:

U.S

. Exe

cuti

ve O

ffic

e of

the

Pre

side

nt, O

ffic

e of

Man

agem

ent

and

Bud

get,

Bud

get

of t

he U

nite

d St

ates

Gov

ernm

ent,

App

endi

x (W

ashi

ngto

n, D

C:

Ann

ual i

ssue

s).

Con

stan

t do

llar

defl

ator

1980

-97:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, H

isto

rica

l dat

a fo

r ch

ain-

type

inde

xes

accu

rate

to 3

dec

imal

pla

ces,

tab

le 7

-11,

“C

hain

Ty

pe P

rice

Ind

exes

-Fed

eral

,” I

nter

net

site

htt

p://w

ww

.bea

.doc

.gov

/bea

/dn1

.htm

as

of S

ept.

20,

200

2.19

98-2

001:

U.S

. Dep

artm

ent

of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, I

nter

acti

ve A

cces

s to

Nat

iona

l Inc

ome

and

Pro

duct

Acc

ount

s T

able

s, t

able

7-1

1,

“Cha

in T

ype

Pric

e In

dexe

s-Fe

dera

l,” I

nter

net

site

htt

p://w

ww

.bea

.doc

.gov

/bea

/dn/

nipa

web

as

of S

ept.

20,

200

2.

Page 266: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Government Finance � 247

TABL

E 3-

29a:

Tra

nspo

rtatio

n Ex

pend

iture

s by

Mod

e an

d Le

vel o

f Gov

ernm

ent f

rom

Ow

n Fu

nds,

Fis

cal Y

ear (

Curr

ent $

mill

ions

)a

1980

1985

1990

1995

1996

1997

1998

1999

2000

TOTA

L, a

ll m

od

es 5

6,32

977

,230

100,

629

130,

542

133,

359

138,

361

145,

659

154,

845

UFe

dera

l24

,737

28,2

9130

,859

40,7

6940

,774

41,7

6641

,303

43,9

7548

,401

Sta

te a

nd lo

cal

31,5

9248

,939

69,7

7089

,772

92,5

8596

,596

104,

355

110,

871

U

Hig

hw

ays,

to

tal

34,5

5346

,604

62,5

6379

,309

81,5

5084

,212

89,4

5495

,494

UFe

dera

l11

,706

15,0

3015

,452

20,0

7820

,622

21,3

4720

,652

23,5

8927

,657

Sta

te a

nd lo

cal

22,8

4731

,574

47,1

1259

,232

60,9

2762

,865

68,8

0271

,905

U

Air

, to

tal

5,67

37,

903

12,5

6816

,960

17,2

7318

,776

19,5

9321

,789

UFe

dera

l3,

762

4,94

77,

305

10,3

8910

,135

10,1

3710

,622

10,7

229,

556

Sta

te a

nd lo

cal

1,91

12,

955

5,26

36,

571

7,13

88,

639

8,97

111

,067

U

Tran

sit,

to

tal

8,94

916

,333

19,2

6126

,162

26,3

4626

,875

28,1

0829

,027

UFe

dera

l3,

307

3,42

73,

832

4,47

44,

375

4,58

34,

302

4,26

55,

337

Sta

te a

nd lo

cal

5,64

212

,906

15,4

2921

,688

21,9

7122

,292

23,8

0624

,762

U

Wat

er, t

ota

l4,

477

5,12

45,

480

6,62

86,

775

6,99

67,

137

7,68

2U

Fede

ral

3,30

83,

642

3,53

74,

380

4,23

84,

212

4,38

44,

565

4,81

0

Sta

te a

nd lo

cal

1,16

81,

481

1,94

32,

247

2,53

82,

783

2,75

33,

117

U

Rai

l, to

tal

2,41

91,

072

541

1,04

31,

015

1,14

81,

099

565

UFe

dera

l2,

395

1,05

753

41,

034

1,00

41,

131

1,07

654

675

5

Sta

te a

nd lo

cal

2315

79

1117

2319

U

Pip

elin

e, t

ota

lbR

Z8

2643

UU

UU

U

Fede

ral

RZ

RZ

919

3329

3230

27S

tate

and

loca

lR

Z8

1724

UU

UU

U

Fed

eral

-gen

eral

su

pp

ort

, to

talc

259

187

191

396

367

327

236

258

259

KE

Y: E

= e

stim

ate;

RZ

= n

o ac

tivity

or

a va

lue

of z

ero;

U =

dat

a ar

e no

t ava

ilabl

e.

a A

ll da

ta h

ave

been

rev

ised

.b

Incl

udes

gas

and

liqu

id p

ipel

ine.

cG

ener

al s

uppo

rt r

epre

sent

s ad

min

istr

ativ

e an

d op

erat

ing

expe

ndit

ures

of

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, t

he I

nter

stat

e C

omm

erce

Com

mis

sion

(te

r-m

inat

ed a

t th

e en

d 19

95),

and

the

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

.

NO

TE

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

1980

: U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, u

npub

lishe

d da

ta.

1985

–200

0: U

.S. D

epar

tmen

t of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

istic

s, G

over

nmen

t T

rans

port

atio

n Fi

nanc

ial S

tatis

tics

200

1 (W

ashi

ngto

n, D

C: 2

002)

.

Page 267: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

248 � Chapter 3: Transportation and the EconomyTA

BLE

3-29

b: T

rans

porta

tion

Expe

nditu

res

by M

ode

and

Leve

l of G

over

nmen

t fro

m O

wn

Fund

s, F

isca

l Yea

r (Ch

aine

d 19

96 $

mill

ions

)a

1980

1985

1990

1995

1996

1997

1998

1999

2000

TOTA

L, a

ll m

od

es 1

02,3

24 1

07,5

00 1

18,6

29 1

33,4

64 1

33,3

59 1

35,0

89 1

40,0

25 1

44,9

39 U

Fede

ral

44,

165

39,

595

37,

651

41,

644

40,

774

40,

923

39,

953

41,

380

44,

109

Stat

e an

d lo

cal

58,

159

67,

905

80,

978

91,

820

92,

585

94,

166

100

,072

103

,559

U

Hig

hw

ays,

to

tal

62,

960

64,

845

73,

532

81,

091

81,

550

82,

200

85,

955

89,

361

UFe

dera

l 2

0,89

9 2

1,03

5 1

8,85

3 2

0,50

8 2

0,62

2 2

0,91

6 1

9,97

6 2

2,19

7 2

5,20

4

Stat

e an

d lo

cal

42,

060

43,

810

54,

680

60,

583

60,

927

61,

284

65,

978

67,

164

U

Air

, to

tal

10,

234

11,

025

15,

021

17,

333

17,

273

18,

354

18,

878

20,

427

UFe

dera

l 6

,717

6,9

24 8

,912

10,

612

10,

135

9,9

32 1

0,27

5 1

0,08

9 8

,709

Stat

e an

d lo

cal

3,5

17 4

,100

6,1

09 6

,721

7,1

38 8

,422

8,6

03 1

0,33

7 U

Tran

sit,

to

tal

16,

291

22,

704

22,

583

26,

753

26,

346

26,

221

26,

990

27,

143

UFe

dera

l 5

,903

4,7

96 4

,675

4,5

70 4

,375

4,4

90 4

,161

4,0

13 4

,864

Stat

e an

d lo

cal

10,

387

17,

908

17,

908

22,

183

21,

971

21,

731

22,

829

23,

129

U

Wat

er, t

ota

l 8

,058

7,1

53 6

,570

6,7

73 6

,775

6,8

41 6

,881

7,2

07 U

Fede

ral

5,9

07 5

,098

4,3

16 4

,474

4,2

38 4

,127

4,2

41 4

,296

4,3

84

Stat

e an

d lo

cal

2,1

51 2

,055

2,2

55 2

,299

2,5

38 2

,713

2,6

40 2

,911

U

Rai

l, to

tal

4,3

20 1

,501

659

1,0

66 1

,015

1,1

24 1

,063

531

UFe

dera

l 4

,277

1,4

80 6

52 1

,056

1,0

04 1

,108

1,0

41 5

14 6

88

Stat

e an

d lo

cal

43

21

8 1

0 1

1 1

6 2

2 1

8 U

Pip

elin

e, t

ota

lb R

Z 1

1 3

1 4

4 U

U U

U U

Fede

ral

RZ

RZ

11

19

33

28

31

28

25

Stat

e an

d lo

cal

RZ

11

19

25

U U

U U

U

Fed

eral

-gen

eral

su

pp

ort

, to

talc

462

261

233

404

367

320

228

243

236

KE

Y: R

Z =

no

activ

ity o

r a

valu

e of

zer

o; U

= d

ata

are

not a

vaila

ble.

aA

ll da

ta h

ave

been

rev

ised

.b

Incl

udes

gas

and

liqu

id p

ipel

ine.

cG

ener

al s

uppo

rt r

epre

sent

s ad

min

istr

ativ

e an

d op

erat

ing

expe

ndit

ures

of

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, t

he I

nter

stat

e C

omm

erce

Com

mis

sion

(te

r-m

inat

ed a

t th

e en

d 19

95),

and

the

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

.

NO

TE

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

1980

: U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, u

npub

lishe

d da

ta.

1985

–200

0: U

.S. D

epar

tmen

t of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

istic

s, G

over

nmen

t T

rans

port

atio

n Fi

nanc

ial S

tatis

tics

200

1 (W

ashi

ngto

n, D

C: 2

002)

. C

onst

ant

dolla

r de

flat

or: U

.S. D

epar

tmen

t of

Com

mer

ce, B

urea

u of

Eco

nom

ic A

naly

sis,

Nat

iona

l Inc

ome

and

Pro

duct

Acc

ount

s, W

ashi

ngto

n, D

C, t

able

7.1

, “C

hain

-Typ

e Pr

ice

Inde

x.”

Page 268: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Government Finance � 249

TABLE 3-30a: Federal Transportation Grants to State and Local Governments by Mode, Fiscal Year (Current $ millions)a

1980 1985 1990 1995 1996 1997 1998 1999 2000Total 14,581 18,146 19,689 24,950 25,061 26,073 25,125 27,959 32,516Highway 10,807 14,007 14,695 18,677 19,039 20,008 19,294 22,127 26,061Air 590 789 1,220 1,826 1,655 1,489 1,511 1,565 1,896Transit 3,129 3,304 3,728 4,353 4,291 4,499 4,221 4,188 4,476

Waterb RZ 12 26 62 40 26 32 21 9

Rail 54 35 16 22 25 39 54 44 61

Pipeline RZ RZ 4 10 11 12 13 14 13

KEY: RZ = no activity or a value of zero.

a All data have been revised.b Includes only federal grants for Boat Safety Program.

NOTENumbers may not add to totals due to rounding.

SOURCES1980: U.S. Department of Transportation, Bureau of Transportation Statistics, unpublished data.1985-2000: U.S. Department of Transportation, Bureau of Transportation Statistics, Government Transporta-

tion Financial Statistics 2001 (Washington, DC: 2002).

Page 269: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

250 � Chapter 3: Transportation and the Economy

TABLE 3-30b: Federal Transportation Grants to State and Local Governments by Mode, Fiscal Year (Chained 1996 $ millions)a

1980 1985 1990 1995 1996 1997 1998 1999 2000Total 26,033 25,397 24,022 25,485 25,061 25,547 24,304 26,309 29,632Highway 19,295 19,604 17,929 19,077 19,039 19,604 18,664 20,821 23,750Air 1,054 1,104 1,489 1,865 1,655 1,459 1,462 1,473 1,728Transit 5,586 4,624 4,549 4,446 4,291 4,408 4,083 3,941 4,079

Waterb RZ 17 31 63 40 25 31 20 8

Rail 97 49 19 22 25 38 52 41 56

Pipeline RZ RZ 5 10 11 12 13 13 12

KEY: RZ = no activity or a value of zero.

a All data have been revised.b Includes only federal grants for Boat Safety Program.

NOTENumbers may not add to totals due to rounding.

SOURCES1980: U.S. Department of Transportation, Bureau of Transportation Statistics, unpublished data. 1985–2000: U.S. Department of Transportation, Bureau of Transportation Statistics, Government Transporta-

tion Financial Statistics 2001 (Washington, DC: 2002). Constant dollar deflator: U.S. Department of Commerce, Bureau of Economic Analysis, National Income and

Product Accounts, Washington, DC, table 7.1, “Chain-Type Price Index.”

Page 270: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Chapter 4Transportation, Energy,

and the Environment

Section AU.S. and Transportation Section

Energy Consumption

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Page 272: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

U.S. and Transportation Section Energy Consumption � 253

TABL

E 4-

1: O

verv

iew

of U

.S. P

etro

leum

Pro

duct

ion,

Impo

rts, E

xpor

ts, a

nd C

onsu

mpt

ion

(Mill

ion

barr

els

per d

ay)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

P20

01D

om

esti

c p

rod

uct

ion

Cru

de o

ila7.

047.

809.

64R

8.38

8.60

8.97

7.36

6.56

R6.

476.

456.

255.

88R

5.82

5.80

Nat

ural

gas

pla

nt li

quid

s0.

931.

211.

661.

631.

571.

611.

561.

761.

831.

821.

761.

851.

911.

87

Tota

lb7.

969.

0111

.30

10.0

510

.21

10.6

48.

998.

638.

618.

618.

398.

11R

8.11

8.05

Gro

ss im

po

rts

Cru

de o

ilc1.

021.

241.

32R

4.11

5.26

3.20

5.89

7.23

7.51

8.23

8.71

8.73

R9.

079.

33

Pet

role

um p

rodu

ctsd

0.80

1.23

2.10

1.95

1.65

1.87

2.12

1.61

1.97

1.94

2.00

2.12

R2.

392.

54To

tal

1.81

2.47

3.42

6.06

6.91

5.07

8.02

R8.

849.

4810

.16

10.7

110

.85

R11

.46

11.8

7

Exp

ort

s0.

200.

190.

260.

210.

540.

780.

860.

950.

981.

00R

0.95

0.94

1.04

0.97

U.S

. net

imp

ort

se1.

612.

283.

165.

856.

374.

297.

167.

898.

509.

169.

769.

91R

10.4

210

.90

U.S

. pet

role

um

co

nsu

mp

tio

n9.

8011

.51

14.7

016

.32

17.0

615

.73

16.9

9R

17.7

318

.31

18.6

218

.92

19.5

219

.70

19.6

5B

y th

e tr

ansp

orta

tion

sect

or5.

146.

047.

788.

959.

559.

8510

.97

11.7

311

.96

12.1

312

.48

12.8

912

.99

UTr

ansp

orta

tion

petr

oleu

m u

se a

sP

erce

nt o

f dom

estic

pet

role

um p

rodu

ctio

n64

.667

.068

.889

.193

.592

.612

2.0

R13

6.0

R13

9.0

140.

914

8.7

R15

9.0

R16

0.2

U

Tran

spor

tatio

n pe

trol

eum

use

as

Per

cent

of d

omes

tic p

etro

leum

con

sum

ptio

n52

.452

.552

.954

.856

.062

.664

.666

.265

.365

.166

.066

.065

.9U

Wo

rld

pet

role

um

co

nsu

mp

tio

n21

.34

31.1

446

.81

56.2

063

.07

R60

.09

R66

.09

R70

.04

R71

.60

73.0

6R

73.7

9R

75.3

0R

76.0

276

.01

U.S

. pet

role

um c

onsu

mpt

ion

asP

erce

nt o

f wor

ld p

etro

leum

con

sum

ptio

n45

.937

.031

.429

.0R

27.0

26.2

R25

.7R

25.3

25.6

25.5

R25

.6R

25.9

R25

.925

.9

KE

Y: P

= p

relim

inar

y; R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aIn

clud

es le

ase

cond

ensa

te.

bIn

clud

es c

rude

oil,

nat

ural

gas

pla

nt li

quid

s, a

nd o

ther

liqu

ids.

cIn

clud

es im

port

s fo

r th

e St

rate

gic

Petr

oleu

m R

eser

ve, w

hich

beg

an in

197

7.d

Beg

inni

ng in

198

5, m

otor

gas

olin

e bl

endi

ng c

ompo

nent

s an

d av

iati

on g

asol

ine

blen

ding

com

pone

nts

are

incl

uded

.e

Net

impo

rts

= im

port

s m

inus

exp

orts

.

NO

TE

N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

ES

Dom

esti

c pr

oduc

tion

, im

port

s, e

xpor

ts, a

nd U

.S. p

etro

leum

con

sum

ptio

n:19

60-7

0: U

.S. D

epar

tmen

t of

Ene

rgy,

Ene

rgy

Info

rmat

ion

Adm

inis

trat

ion,

Ann

ual E

nerg

y R

evie

w 2

000,

DO

E/E

IA-0

384(

2000

) (W

ashi

ngto

n, D

C: A

ugus

t 200

1),

tabl

e 5.

1.19

75-2

001:

Ibi

d., M

onth

ly E

nerg

y R

evie

w (

Was

hing

ton,

DC

: Aug

ust

2002

), t

able

s 3.

1a a

nd 3

.1b.

Wor

ld p

etro

leum

con

sum

ptio

n:19

60-7

0: I

bid.

, Ann

ual E

nerg

y R

evie

w 2

000,

DO

E/E

IA-0

384(

2000

) (W

ashi

ngto

n, D

C: A

ugus

t 20

01),

tab

le 1

1.9.

1975

-200

1: I

bid.

, Mon

thly

Ene

rgy

Dat

abas

e, a

vaila

ble

at h

ttp:

//ww

w.e

ia.d

oe.g

ov/e

meu

/mer

/ as

of S

ept.

3, 2

002.

U.S

. pet

role

um c

onsu

mpt

ion

by t

rans

port

atio

n se

ctor

:19

60-2

000:

Ibi

d., A

nnua

l Ene

rgy

Rev

iew

200

0, D

OE

/EIA

-038

4(20

00)

(Was

hing

ton,

DC

: Aug

ust

2001

), t

able

5.1

2c.

Page 273: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

254 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-2:

U.S

. Con

sum

ptio

n of

Ene

rgy

from

Prim

ary

Sour

ces

by S

ecto

r (Qu

adril

lion

Btu)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

En

erg

y co

nsu

mp

tio

nTr

ansp

orta

tion

10.5

612

.40

16.0

618

.21

19.6

620

.02

22.4

923

.92

24.4

724

.77

25.3

4R

26.1

6R

26.9

226

.90

Per

cent

of t

otal

24.1

23.5

24.2

25.3

25.1

26.1

26.7

26.3

26.0

26.3

26.8

R27

.027

.327

.9

Indu

stria

l16

.26

19.2

421

.92

21.4

222

.64

19.5

121

.11

22.9

623

.72

23.8

9R

23.5

724

.05

R24

.39

23.6

0

Per

cent

of t

otal

37.1

36.5

33.0

29.7

28.9

25.4

25.0

25.2

25.2

25.3

24.9

R24

.924

.724

.5

Res

iden

tial a

nd c

omm

erci

al8.

7510

.00

12.1

412

.03

11.6

010

.70

10.2

411

.02

11.7

311

.29

10.3

810

.78

R11

.30

11.0

8

Per

cent

of t

otal

20.0

19.0

18.3

16.7

14.8

13.9

12.1

12.1

12.5

12.0

11.0

11.1

R11

.411

.5

Ene

rgy

inpu

t at e

lect

ric u

tiliti

es8.

1911

.01

16.2

720

.38

24.5

426

.55

30.5

033

.03

34.0

134

.39

R35

.34

35.7

7R

36.1

834

.75

Per

cent

of t

otal

18.7

20.9

24.5

28.3

31.3

34.6

36.2

36.3

36.2

36.5

R37

.3R

37.0

R36

.636

.1

To

tal

43.8

052

.68

66.4

372

.04

78.4

476

.78

84.3

490

.94

93.9

394

.34

R94

.62

R96

.77

R98

.78

96.3

2

Per

cen

tag

e o

f p

rim

ary

dem

and

met

by

pet

role

um

Tran

spor

tatio

n96

.095

.795

.396

.796

.797

.497

.097

.097

.096

.997

.4R

97.4

R97

.597

.7

Indu

stria

l35

.435

.335

.538

.042

.140

.039

.437

.538

.238

.9R

38.6

39.1

R37

.538

.3

Res

iden

tial a

nd c

omm

erci

al39

.838

.635

.431

.626

.223

.621

.218

.819

.119

.219

.219

.7R

19.6

19.8

Ele

ctric

util

ities

6.7

6.7

13.0

15.5

10.7

4.1

4.1

2.0

2.1

2.4

3.3

2.6

2.2

2.4

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; R

= r

evis

ed.

NO

TE

ST

he d

ata

for

resi

dent

ial,

com

mer

cial

, and

indu

stri

al s

ecto

rs in

clud

e on

ly f

ossi

l fue

ls c

onsu

med

dir

ectl

y. M

ost

rene

wab

le f

uels

are

not

incl

uded

. The

dat

a fo

r th

e tr

ansp

orta

tion

sec

tor

incl

udes

onl

y fo

ssil

and

rene

wab

le f

uels

con

sum

ed d

irec

tly.

The

dat

a fo

r el

ectr

ic u

tilit

ies

incl

udes

all

fuel

s (f

ossi

l, nu

clea

r, ge

othe

rmal

, hy

dro,

and

oth

er r

enew

able

s) u

sed

by e

lect

ric

utili

ties

. Due

to a

lack

of c

onsi

sten

t m

onth

ly h

isto

rica

l dat

a, s

ome

rene

wab

le e

nerg

y re

sour

ces

are

not i

nclu

ded

in t

his

tabl

e. T

he t

otal

s in

tab

le 4

-4 a

re t

he b

est

num

bers

for

tot

al U

.S. e

nerg

y co

nsum

ptio

n fr

om a

ll so

urce

s.N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

ES

1960

-70:

U.S

. Dep

artm

ent

of E

nerg

y, E

nerg

y In

form

atio

n A

dmin

istr

atio

n, A

nnua

l Ene

rgy

Rev

iew

199

0, D

OE

/EIA

-039

4(90

) (W

ashi

ngto

n, D

C: M

ay 1

991)

, ta

ble

4.19

75-2

001:

Ibi

d., M

onth

ly E

nerg

y R

evie

w, D

OE

/EIA

-003

5(20

02/0

7) (

Was

hing

ton,

DC

: Jul

y 20

02),

tab

les

2.1,

2.2

, 2.3

, 2.4

, 2.5

, and

2.6

.

Page 274: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

U.S. and Transportation Section Energy Consumption � 255

TABL

E 4-

3: D

omes

tic D

eman

d fo

r Ref

ined

Pet

role

um P

rodu

cts

by S

ecto

r (Qu

adril

lion

Btu)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Tran

spor

tatio

n10

.13

11.8

715

.31

17.6

119

.01

19.5

021

.81

23.2

023

.74

23.9

924

.68

25.4

926

.25

26.2

7

Indu

stria

l5.

756.

797.

798.

159.

537.

818.

328.

629.

069.

299.

109.

409.

169.

04R

esid

entia

l and

com

mer

cial

3.49

3.87

4.31

3.81

3.04

2.52

2.17

2.08

2.24

2.16

1.99

2.13

2.22

2.20

Ele

ctric

util

ities

0.55

0.73

2.12

3.17

2.63

1.09

1.25

0.66

0.73

0.82

1.17

0.94

0.78

0.83

Tota

l pet

role

um

dem

and

19.9

223

.26

29.5

332

.73

34.2

030

.92

33.5

534

.55

35.7

636

.27

36.9

337

.96

38.4

038

.33

Tran

spor

tatio

n as

per

cent

of t

otal

50.9

51.0

51.8

53.8

55.6

63.1

65.0

67.1

66.4

R66

.266

.867

.268

.468

.5

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; R

= r

evis

ed.

NO

TE

Tra

nspo

rtat

ion’

s sh

are

of U

.S. p

etro

leum

dem

and

in t

his

tabl

e di

ffer

s sl

ight

ly f

rom

tab

le 4

-1 b

ecau

se t

his

tabl

e ta

kes

into

acc

ount

dif

fere

nces

wit

hin

sect

ors

in

the

use

of v

ario

us g

rade

s of

pet

role

um-b

ased

fue

l tha

t ha

ve d

iffe

rent

Btu

con

tent

per

uni

t vo

lum

e.

SOU

RC

ES

1960

-70:

U.S

. Dep

artm

ent

of E

nerg

y, E

nerg

y In

form

atio

n A

dmin

istr

atio

n, A

nnua

l Ene

rgy

Rev

iew

199

7, D

OE

/EIA

-038

4(97

) (W

ashi

ngto

n, D

C: J

uly

1998

),

tabl

es 2

.1, 5

.12b

, and

A3.

19

75-2

001:

Ibi

d., M

onth

ly E

nerg

y R

evie

w, D

OE

/EIA

-003

5(20

02/0

7) (

Was

hing

ton,

DC

: Jul

y 20

02),

tab

les

1.4,

2.2

, 2.3

, 2.4

, 2.5

, and

2.6

.

Page 275: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 276: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter four

Section BTransportation Energy Consumption by Mode

Page 277: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 278: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 259

TABL

E 4-

4: U

.S. E

nerg

y Co

nsum

ptio

n by

the

Tran

spor

tatio

n Se

ctor

(Qua

drill

ion

Btu)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

P20

01E

ner

gy

con

sum

pti

on

(all

sect

ors

)45

.12

54.0

267

.86

72.0

478

.44

76.7

884

.34

90.9

493

.93

94.3

4R

94.6

2R

96.7

7R

98.7

896

.34

Tota

l tra

nspo

rtat

ion

cons

umpt

iona

10.6

012

.43

16.1

018

.24

19.7

020

.07

22.5

423

.98

24.5

224

.82

25.3

9R

26.2

2R

26.9

026

.90

Per

cent

of t

otal

ene

rgy

cons

umpt

ion

23.5

23.0

23.7

25.3

25.1

26.1

26.7

26.4

26.1

26.3

26.8

R27

.1R

27.2

27.9

Tota

l prim

ary

cons

umpt

ionb

10.5

612

.40

16.0

618

.21

19.6

620

.02

22.4

923

.92

24.4

724

.77

25.3

4R

26.1

6R

26.8

426

.84

Coa

l0.

074

0.01

70.

007

0.00

1f

ff

ff

ff

ff

f

Mill

ion

shor

t ton

s3.

00.

70.

3<

0.05

ff

ff

ff

ff

ff

Nat

ural

gas

c0.

360.

520.

750.

600.

650.

520.

680.

720.

730.

780.

66R

0.67

R0.

670.

63

Tril

lion

cubi

c fe

et0.

350.

500.

720.

580.

640.

500.

660.

700.

71R

0.76

0.64

R0.

65R

0.65

U

Pet

role

um p

rodu

ctsd

10.1

311

.87

15.3

117

.61

19.0

1R

19.5

021

.81

23.2

023

.74

23.9

924

.68

25.4

9R

26.1

726

.21

Mill

ion

barr

els

1,88

12,

205

2,84

03,

267

3,49

53,

595

4,00

44,

281

4,37

74,

431

E4,

552

E4,

654

E4,

754

U

Ele

ctric

ity0.

010

0.01

00.

011

0.01

00.

011

0.01

40.

016

0.01

70.

017

0.01

70.

017

0.01

70.

018

0.01

9

Ele

ctric

al s

yste

m e

nerg

y lo

sses

e0.

026

0.02

40.

026

0.02

50.

027

0.03

3R

0.03

7R

0.03

8R

0.03

7R

0.03

7R

0.03

7R

,g 0

.038

R0.

038

0.03

8

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; E

= e

stim

ated

; P =

pre

limin

ary;

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aSu

m o

f pr

imar

y co

nsum

ptio

n, e

lect

rici

ty, a

nd e

lect

rica

l sys

tem

ene

rgy

loss

es c

ateg

orie

s.b

Sum

of

coal

, nat

ural

gas

, and

pet

role

um c

ateg

orie

s.c

Con

sum

ed in

the

ope

rati

on o

f pi

pelin

es, p

rim

arily

in c

ompr

esso

rs, a

nd s

mal

l am

ount

s co

nsum

ed a

s ve

hicl

e fu

el.

dIn

clud

es m

ost

nonu

tilit

y us

e of

fos

sil f

uels

to

prod

uce

elec

tric

ity

and

smal

l am

ount

s (a

bout

0.1

qua

drill

ion

Btu

per

yea

r si

nce

1990

) of

ren

ewab

le e

nerg

y in

the

fo

rm o

f et

hano

l ble

nded

into

mot

or g

asol

ine.

eIn

curr

ed in

the

gen

erat

ion,

tra

nsm

issi

on, a

nd d

istr

ibut

ion

of e

lect

rici

ty p

lus

plan

t us

e an

d un

acco

unte

d fo

r el

ectr

ical

sys

tem

ene

rgy

loss

es.

fFr

om 1

980,

sm

all a

mou

nts

of c

oal c

onsu

med

for

tra

nspo

rtat

ion

are

incl

uded

in in

dust

rial

sec

tor

cons

umpt

ion.

gT

here

is a

dis

cont

inui

ty in

thi

s ti

me

seri

es b

etw

een

1998

and

199

9; b

egin

ning

in 1

999,

non

utili

ty c

onsu

mpt

ion

of f

ossi

l fue

ls is

incl

uded

in e

lect

ric

pow

er s

ec-

tor

cons

umpt

ion

and

the

calc

ulat

ion

of e

lect

rica

l sys

tem

ene

rgy

loss

es.

NO

TE

SE

nerg

y co

nsum

ptio

n (a

ll se

ctor

s) d

iffe

rs f

rom

tot

als

in t

able

4-2

for

199

0 an

d su

bseq

uent

yea

rs.

Tabl

e 4-

2 in

clud

es p

rim

ary

ener

gy c

onsu

mpt

ion

only

.O

ne q

uadr

illio

n =

1014

.

Con

tinue

d ne

xt p

age

Page 279: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

260 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-4:

U.S

. Ene

rgy

Cons

umpt

ion

by th

e Tr

ansp

orta

tion

Sect

or (Q

uadr

illio

n Bt

u) (C

ontin

ued)

SOU

RC

ES

Ene

rgy

cons

umpt

ion

(all

sect

ors)

, tot

al t

rans

port

atio

n co

nsum

ptio

n an

d to

tal p

rim

ary

cons

umpt

ion:

19

60-7

0: U

.S. D

epar

tmen

t of

Ene

rgy,

Ene

rgy

Info

rmat

ion

Adm

inis

trat

ion,

Ann

ual E

nerg

y R

evie

w 2

000,

DO

E/E

IA-0

384

(200

0) (

Was

hing

ton

DC

: Aug

ust

2001

) ta

ble

2.1a

.19

75-2

001:

Ibi

d., M

onth

ly E

nerg

y R

evie

w (

Was

hing

ton

DC

: Aug

ust

2002

), t

able

2.1

.

Coa

l:B

tu:

1960

-70:

Ibi

d., A

nnua

l Ene

rgy

Rev

iew

200

0, D

OE

/EIA

-038

4 (2

000)

(W

ashi

ngto

n D

C: A

ugus

t 20

01)

tabl

e 2.

1e.

1975

-200

1: I

bid.

, Mon

thly

Ene

rgy

Rev

iew

(W

ashi

ngto

n D

C: A

ugus

t 20

02),

tab

le 2

.5.

Shor

t to

ns:

1960

-70:

Ibi

d., A

nnua

l Ene

rgy

Rev

iew

200

0, D

OE

/EIA

-038

4 (2

000)

(W

ashi

ngto

n D

C: A

ugus

t 20

01)

tabl

e 7.

3.19

75-2

001:

Ibi

d., M

onth

ly E

nerg

y R

evie

w (

Was

hing

ton

DC

: Aug

ust

2002

), t

able

6.2

.

Nat

ural

gas

:B

tu:

1960

-70:

Ibi

d., A

nnua

l Ene

rgy

Rev

iew

200

0, D

OE

/EIA

-038

4 (2

000)

(W

ashi

ngto

n D

C: A

ugus

t 20

01)

tabl

e 2.

1e.

1975

-200

1: I

bid.

, Mon

thly

Ene

rgy

Rev

iew

(W

ashi

ngto

n D

C: A

ugus

t 20

02),

tab

le 2

.5.

Cub

ic f

eet:

1960

-70:

Ibi

d., A

nnua

l Ene

rgy

Rev

iew

200

0, D

OE

/EIA

-038

4 (2

000)

(W

ashi

ngto

n D

C: A

ugus

t 20

01)

tabl

e 6.

5.19

75-2

001:

Ibi

d., M

onth

ly E

nerg

y R

evie

w (

Was

hing

ton

DC

: Aug

ust

2002

), t

able

4.4

.

Petr

oleu

m p

rodu

cts:

Btu

:19

60-7

0: I

bid.

, Ann

ual E

nerg

y R

evie

w 2

000,

DO

E/E

IA-0

384

(200

0) (

Was

hing

ton

DC

: Aug

ust

2001

) ta

ble

2.1e

.19

75-2

001:

Ibi

d., M

onth

ly E

nerg

y R

evie

w (

Was

hing

ton

DC

: Aug

ust

2002

), t

able

2.5

. B

arre

ls:

1960

-200

0: I

bid.

, Ann

ual E

nerg

y R

evie

w 2

000,

DO

E/E

IA-0

384

(200

0) (

Was

hing

ton

DC

: Aug

ust

2001

) ta

ble

5.12

c. (

barr

els/

day

x 36

5 or

366

for

leap

yea

rs).

Ele

ctri

city

and

ele

ctri

cal s

yste

m e

nerg

y lo

sses

:19

60-7

0: I

bid.

, Ann

ual E

nerg

y R

evie

w 2

000,

DO

E/E

IA-0

384

(200

0) (

Was

hing

ton

DC

: Aug

ust

2001

) ta

ble

2.1e

.19

75-2

001:

Ibi

d., M

onth

ly E

nerg

y R

evie

w (

Was

hing

ton

DC

: Aug

ust

2002

), t

able

2.5

.

Page 280: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 261

TABL

E 4-

5: F

uel C

onsu

mpt

ion

by M

ode

of T

rans

porta

tion

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

Cer

tific

ated

car

riers

a

Jet f

uel (

mill

ion

gallo

ns)

1,95

43,

889

7,85

77,

558

8,51

910

,115

12,4

2912

,812

13,1

8713

,660

13,8

7714

,402

14,8

45

Gen

eral

avi

atio

nb

Avi

atio

n ga

solin

e (m

illio

n ga

llons

)24

229

255

141

252

042

135

328

728

929

231

134

533

7

Jet f

uel (

mill

ion

gallo

ns)

N56

208

453

766

691

663

560

608

642

815

967

998

Hig

hw

ay

Gas

olin

e, d

iese

l and

oth

er fu

els

(mill

ion

gallo

ns)

Pas

seng

er c

ar a

nd m

otor

cycl

e41

,171

49,7

2367

,879

74,2

5370

,186

71,7

0069

,759

68,2

6869

,419

70,0

9471

,901

73,4

9573

,125

Oth

er 2

-axl

e 4-

tire

vehi

cle

Ne

12,3

1319

,081

23,7

9627

,363

35,6

1145

,605

47,3

5449

,388

50,4

6252

,859

52,8

32

Sin

gle-

unit

2-ax

le 6

-tire

or

mor

e tr

uck

N13

,848

3,96

85,

420

6,92

37,

399

8,35

79,

216

9,40

99,

576

6,81

79,

372

9,54

8

Com

bina

tion

truc

kN

6,65

87,

348

9,17

713

,037

14,0

0516

,133

19,7

7720

,193

20,3

0225

,158

24,5

3725

,645

Bus

827

875

820

1,05

31,

018

834

895

968

990

1,02

71,

040

1,14

81,

110

Tran

sitc

Ele

ctric

ity (

mill

ion

kWh)

2,90

82,

584

2,56

12,

646

2,44

64,

216

4,83

75,

068

5,00

74,

988

5,07

35,

237

P5,

510

Mot

or fu

el (

mill

ion

gallo

ns)

Die

sel

208

248

271

365

431

609

651

678

693

717

740

763

P78

6

Gas

olin

e an

d ot

her

nond

iese

l fue

lsd

192

124

688

1146

3461

6159

5349

P48

Com

pres

sed

natu

ral g

asN

NN

NN

NN

1115

2437

44P55

Rai

l, C

lass

I (i

n f

reig

ht

serv

ice)

Dis

tilla

te /

dies

el fu

el (

mill

ion

gallo

ns)

3,46

33,

592

3,54

53,

657

3,90

43,

110

3,11

53,

480

3,57

93,

575

3,58

33,

715

3,70

0

Am

trak

Ele

ctric

ity (

mill

ion

kWh)

NN

N18

025

429

533

030

429

328

227

528

335

0

Dis

tilla

te /

dies

el fu

el (

mill

ion

gallo

ns)

NN

N63

6465

8266

7175

7574

76

Wat

er

Res

idua

l fue

l oil

(mill

ion

gallo

ns)

3,95

23,

093

3,77

44,

060

8,95

24,

590

6,32

65,

886

5,70

15,

010

5,62

05,

838

6,41

0

Dis

tilla

te /

dies

el fu

el o

il (m

illio

n ga

llons

)78

765

281

91,

098

1,47

81,

699

2,06

52,

339

2,49

12,

574

2,59

52,

419

2,26

1

Gas

olin

e (m

illio

n ga

llons

)N

N59

873

01,

052

1,05

31,

300

1,06

099

498

795

61,

098

1,12

4

Pip

elin

e

Nat

ural

gas

(m

illio

n cu

bic

feet

)34

7,07

550

0,52

472

2,16

658

2,96

363

4,62

250

3,76

665

9,81

670

0,33

571

1,44

675

1,47

063

5,47

764

5,31

964

4,44

4

KE

Y: k

Wh

= k

ilow

att-

hour

; N =

dat

a do

not

exi

st; P

= p

relim

inar

y.

aD

omes

tic

oper

atio

ns o

nly.

bIn

clud

es f

uel u

sed

in a

ir t

axi o

pera

tion

s, b

ut n

ot c

omm

uter

ope

rati

ons.

Dat

a fo

r 19

96 a

re e

stim

ated

usi

ng n

ew in

form

atio

n on

non

resp

onde

nts

and

are

ther

e-fo

re n

ot c

ompa

rabl

e to

ear

lier

year

s. S

ee t

he a

ccur

acy

stat

emen

t in

the

app

endi

x fo

r m

ore

deta

iled

info

rmat

ion.

cPr

ior

to 1

984,

exc

lude

s co

mm

uter

rai

l, au

tom

ated

gui

dew

ay, f

erry

boat

, dem

and

resp

onsi

ve v

ehic

les,

and

mos

t ru

ral a

nd s

mal

l sys

tem

s.d

Gas

olin

e an

d al

l oth

er n

ondi

esel

fue

ls s

uch

as li

quef

ied

natu

ral g

as, m

etha

nol,

and

prop

ane,

exc

ept

com

pres

sed

natu

ral g

as.

Con

tinue

d ne

xt p

age

Page 281: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

262 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-5:

Fue

l Con

sum

ptio

n by

Mod

e of

Tra

nspo

rtatio

n (C

ontin

ued)

e I

nclu

ded

in s

ingl

e-un

it 2

-axl

e 6-

tire

or

mor

e tr

uck

cate

gory

.

SOU

RC

ES

Air

:C

erti

fica

ted

air

carr

iers

:19

60-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, O

ffic

e of

Air

line

Info

rmat

ion,

Int

erne

t si

te h

ttp:

//ww

w.b

ts.g

ov/o

ai/f

uel/

fuel

year

ly.h

tml a

s of

Aug

. 1, 2

002.

Gen

eral

avi

atio

n:19

60-7

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Avi

atio

n A

dmin

istr

atio

n, F

AA

Sta

tist

ical

Han

dboo

k of

Avi

atio

n -

1972

edi

tion

(W

ashi

ngto

n, D

C: 1

973)

, ta

ble

9.12

.19

75-9

0: I

bid.

, Gen

eral

Avi

atio

n an

d A

ir T

axi A

ctiv

ity

Surv

ey (

Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

5.1

, and

sim

ilar

tabl

es in

ear

lier

edit

ions

.19

95-2

000:

lbid

., FA

A A

eros

pace

For

ecas

ts F

isca

l Yea

rs 2

002-

2013

(W

ashi

ngto

n, D

C: M

arch

200

2), t

able

30.

Hig

hway

:19

60-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics,

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C:

July

199

7), t

able

VM

-201

A. (

Rev

ised

dat

a ob

tain

ed f

rom

Int

erne

t si

te h

ttp:

//ww

w.f

hwa.

dot.

gov/

ohim

/ohi

mst

at.h

tm a

s of

Aug

ust

2001

).19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.T

rans

it:

Ele

ctri

city

/ m

otor

fue

l / c

ompr

esse

d na

tura

l gas

:19

60-2

000:

Am

eric

an P

ublic

Tra

nsit

Ass

ocia

tion

, Pub

lic T

rans

port

atio

n Fa

ct B

ook

(Was

hing

ton,

DC

: Mar

ch 2

002)

, tab

les

65, 6

6, 6

7, a

nd s

imila

r ta

bles

in

earl

ier

edit

ions

. R

ail:

1960

-200

0: A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: O

ctob

er 2

001)

, p. 4

0 an

d pe

rson

al c

omm

unic

atio

n A

ug. 1

2, 2

002.

Am

trak

:19

75-2

000:

Am

trak

, Ene

rgy

Man

agem

ent

Dep

artm

ent,

per

sona

l com

mun

icat

ion.

Wat

er:

Res

idua

l and

dis

tilla

te /

dies

el f

uel o

il:19

60-8

0: A

mer

ican

Pet

role

um I

nsti

tute

, Bas

ic P

etro

leum

Dat

a B

ook

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

s 10

, 10a

, 12,

and

12a

.19

85-2

000:

U.S

. Dep

artm

ent

of E

nerg

y, E

nerg

y In

form

atio

n A

dmin

istr

atio

n, F

uel O

il an

d K

eros

ene

Sale

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

les

1, 2

, and

si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

Gas

olin

e:19

70-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le M

F-24

and

sim

-ila

r ta

bles

in e

arlie

r ed

itio

ns.

Pipe

line:

1960

-200

0: U

.S. D

epar

tmen

t of

Ene

rgy,

Nat

ural

Gas

Ann

ual 2

000,

DO

E/E

IA-0

131(

00)

(Was

hing

ton,

DC

: Nov

embe

r 20

01),

tab

le 9

5.

Page 282: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 263

TABL

E 4-

6: E

nerg

y Co

nsum

ptio

n by

Mod

e of

Tra

nspo

rtatio

n (T

rillio

n Bt

u)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

19

9920

00A

ir

Cer

tific

ated

car

riers

a

Jet f

uel

264

525

1,06

11,

020

1,15

01,

366

1,67

81,

730

1,78

01,

844

1,87

31,

944

2,00

4

Gen

eral

avi

atio

nb

Avi

atio

n ga

solin

e29

3566

5063

5142

3535

3537

4240

Jet f

uel

N8

2861

103

9390

7682

8711

013

113

5H

igh

way

Gas

olin

e, d

iese

l and

oth

er fu

els

Pas

seng

er c

ar a

nd m

otor

cycl

e5,

146

6,21

58,

485

9,28

28,

773

8,96

38,

720

8,53

48,

677

8,76

28,

988

9,18

79,

141

Oth

er 2

-axl

e 4-

tire

vehi

cle

Ne

1,53

92,

385

2,97

53,

420

4,45

15,

701

5,91

96,

173

6,30

86,

607

6,60

4

Sin

gle-

unit

2-ax

le 6

-tire

or

mor

e tr

uck

N1,

921

550

752

960

1,02

61,

159

1,27

81,

305

1,32

894

61,

300

1,32

4C

ombi

natio

n tr

uck

N92

31,

019

1,27

31,

808

1,94

22,

238

2,74

32,

801

2,81

63,

489

3,40

33,

557

Bus

115

121

114

146

141

116

124

134

137

142

144

159

154

Tran

sitc

Ele

ctric

ity10

99

98

1417

1717

1717

18P19

Mot

or fu

el

Die

sel

2934

3851

6084

9094

9699

103

106

P10

9

Gas

olin

e an

d ot

her

nond

iese

l fue

lsd

2416

91

16

48

87

76

P6

Com

pres

sed

natu

ral g

asN

NN

NN

NN

12

35

6P8

Rai

l, C

lass

I (

in f

reig

ht

serv

ice)

Dis

tilla

te /

dies

el fu

el48

049

849

250

754

143

143

248

349

649

649

751

551

3A

mtr

akE

lect

ricity

NN

N1

11

11

11

11

1

Dis

tilla

te /

dies

el fu

elN

NN

99

911

910

1010

1011

Wat

er

Res

idua

l fue

l oil

592

463

565

608

1,34

068

794

788

185

375

084

187

496

0

Dis

tilla

te /

dies

el fu

el o

il10

990

114

152

205

236

286

324

345

357

360

336

314

Gas

olin

e N

N75

9113

213

216

313

312

412

312

013

714

1P

ipel

ine

Nat

ural

gas

358

516

745

601

654

519

680

722

734

775

655

665

664

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; kW

h =

kilo

wat

t-ho

ur; N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary.

aD

omes

tic

oper

atio

ns o

nly.

Con

tinue

d ne

xt p

age

Page 283: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

264 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-6:

Ene

rgy

Cons

umpt

ion

by M

ode

of T

rans

porta

tion

(Tril

lion

Btu)

(Con

tinue

d)

b I

nclu

des

fuel

use

d in

air

tax

i ope

rati

ons,

but

not

com

mut

er o

pera

tion

s.c

Pri

or t

o 19

84, e

xclu

des

com

mut

er r

ail,

auto

mat

ed g

uide

way

, fer

rybo

at, d

eman

d re

spon

sive

veh

icle

s, a

nd m

ost

rura

l and

sm

alle

r sy

stem

s.d

Gas

olin

e an

d al

l oth

er n

ondi

esel

fue

ls s

uch

as li

quef

ied

natu

ral g

as, m

etha

nol,

and

prop

ane,

exc

ept

com

pres

sed

natu

ral g

as.

e I

nclu

ded

in o

ther

sin

gle-

unit

2-a

xle

6-ti

re o

r m

ore

truc

k ca

tego

ry.

NO

TE

ST

he f

ollo

win

g co

nver

sion

rat

es w

ere

used

:Je

t fu

el =

135

,000

Btu

/gal

lon

Com

pres

sed

natu

ral g

as =

138

,700

Btu

/gal

lon

Avi

atio

n ga

solin

e =

120,

200

Btu

/gal

lon

Dis

tilla

te f

uel =

138

,700

Btu

/gal

lon

Aut

omot

ive

gaso

line

= 12

5,00

0 B

tu/g

allo

nR

esid

ual f

uel =

149

,700

Btu

/gal

lon

Die

sel m

otor

fue

l = 1

38,7

00 B

tu/g

allo

nN

atur

al g

as =

1,0

31 B

tu/f

t3E

lect

rici

ty 1

kWh

= 3,

412

Btu

, neg

atin

g el

ectr

ical

sys

tem

loss

es. T

o in

clud

e ap

prox

imat

e el

ectr

ical

sys

tem

loss

es, m

ulti

ply

this

con

vers

ion

fact

or b

y 3.

SOU

RC

ES

Air

:C

erti

fica

ted

air

carr

iers

:19

60-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, O

ffic

e of

Air

line

Info

rmat

ion

Inte

rnet

sit

e ht

tp://

ww

w.b

ts.g

ov/o

ai/f

uel/

fuel

year

ly.h

tml a

s of

Aug

. 1, 2

002.

G

ener

al a

viat

ion:

1960

-80:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion,

Off

ice

of A

viat

ion

Polic

y, P

lans

, and

Man

agem

ent

Ana

lysi

s, F

AA

Sta

tist

ical

H

andb

ook

of A

viat

ion

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

1985

-90:

Ibi

d., G

ener

al A

viat

ion

and

Avi

onic

s Su

rvey

(W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le 5

.1 a

nd s

imila

r ta

bles

in e

arlie

r ed

itio

ns.

1995

-200

0: lb

id.,

FAA

Aer

ospa

ce F

orec

asts

Fis

cal Y

ears

200

2-20

13 (

Was

hing

ton,

DC

: Mar

ch 2

002)

, tab

le 3

0.

Hig

hway

:19

60-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics,

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C:

July

199

7), t

able

VM

-201

A (

revi

sed

data

obt

aine

d fr

om in

tern

et s

ite

http

://w

ww

.fhw

a.do

t.go

v/oh

im/o

him

stat

.htm

as

of A

ug. 2

, 200

1).

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Tra

nsit

:E

lect

rici

ty /

mot

or f

uel /

com

pres

sed

natu

ral g

as:

1960

-200

0: A

mer

ican

Pub

lic T

rans

it A

ssoc

iati

on, P

ublic

Tra

nspo

rtat

ion

Fact

Boo

k (W

ashi

ngto

n, D

C: M

arch

200

2), t

able

s 65

, 66,

67,

and

sim

ilar

tabl

es in

ea

rlie

r ed

itio

ns.

Rai

l:19

60-2

000:

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

, Rai

lroa

d Fa

cts

(Was

hing

ton,

DC

: Oct

ober

200

1), p

. 40.

2000

: Ibi

d., p

erso

nal c

omm

unic

atio

n, A

ug. 1

2, 2

002.

Am

trak

:19

75-2

000:

Am

trak

, Ene

rgy

Man

agem

ent

Dep

artm

ent,

per

sona

l com

mun

icat

ion.

Wat

er:

Res

idua

l and

dis

tilla

te /

dies

el f

uel o

il:19

60-8

0: A

mer

ican

Pet

role

um I

nsti

tute

, Bas

ic P

etro

leum

Dat

a B

ook

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

s 10

, 10a

, 12,

and

12a

.19

85-2

000:

U.S

. Dep

artm

ent

of E

nerg

y, E

nerg

y In

form

atio

n A

dmin

istr

atio

n, F

uel O

il an

d K

eros

ene

Sale

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

les

2, 4

, and

si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

Gas

olin

e:19

70-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le M

F-24

and

sim

-ila

r ta

bles

in e

arlie

r ed

itio

ns.

Pipe

line:

1960

-98:

U.S

. Dep

artm

ent

of E

nerg

y, N

atur

al G

as A

nnua

l 199

9, D

OE

/EIA

-013

1(99

) (W

ashi

ngto

n, D

C: O

ctob

er 2

000)

, tab

le 9

4.19

99-2

000:

Ibi

d., N

atur

al G

as A

nnua

l 200

0, D

OE

/EIA

-013

1(00

) (W

ashi

ngto

n D

C: N

ovem

ber

2001

), t

able

95.

Page 284: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 265

TABL

E 4-

7: D

omes

tic D

eman

d fo

r Gas

olin

e (M

illio

n ga

llons

) by

Mod

e

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

TOTA

L d

eman

d60

,761

71,1

8789

,601

102,

996

104,

838

107,

550

113,

606

120,

253

122,

595

124,

235

127,

978

131,

781

131,

891

Hig

hw

ay55

,429

66,9

7985

,598

99,3

5410

1,18

310

3,54

510

9,52

911

7,06

111

9,51

512

0,93

812

4,69

412

8,74

312

8,88

4

No

nh

igh

way

Agr

icul

ture

2,29

21,

963

1,93

21,

565

1,05

91,

081

681

927

918

984

907

703

652

Avi

atio

na1,

324

501

393

410

413

382

361

367

344

335

351

322

296

Mar

ine

6196

598

730

1,05

21,

053

1,30

01,

060

994

987

956

1,09

81,

124

Oth

erb

1,65

61,

647

1,08

093

81,

131

1,49

01,

733

838

825

990

1,07

091

593

4

Tota

l no

nh

igh

way

5,33

24,

208

4,00

33,

642

3,65

54,

005

4,07

63,

192

3,08

13,

297

3,28

43,

038

3,00

7

aD

oes

not

incl

ude

avia

tion

jet

fuel

.b

Incl

udes

sta

te, c

ount

y, a

nd m

unic

ipal

use

, ind

ustr

ial a

nd c

omm

erci

al u

se, c

onst

ruct

ion

use,

and

mis

cella

neou

s.

NO

TE

SA

ll no

nhig

hway

use

s of

gas

olin

e w

ere

esti

mat

ed b

y th

e U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion.

T

hese

est

imat

es m

ay n

ot b

e co

mpa

rabl

e to

dat

a fo

r pr

ior

year

s du

e to

rev

ised

est

imat

ion

proc

edur

es.

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

Hig

hway

: 19

60-9

5: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

isti

cs, S

umm

ary

to 1

995

(Was

hing

ton,

DC

: 199

6), t

able

MF-

221.

1996

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

MF-

21.

Non

high

way

:19

60-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le M

F-24

, and

unp

ublis

hed

revi

sion

s.

Page 285: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

266 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-8:

Cer

tific

ated

Air

Carr

ier F

uel C

onsu

mpt

ion

and

Trav

ela

1960

1965

1970

1975

1980

1985

19

90

1995

19

96

1997

19

98

1999

20

00

2001

Nu

mb

er o

f ai

rcra

ft2,

135

2,12

52,

679

2,49

53,

808

4,67

86,

083

7,41

17,

478

7,61

68,

111

8,22

87,

935

UA

vera

ge

mile

s fl

ow

n p

er a

ircr

aft

(th

ou

san

ds)

487

667

949

932

768

740

776

759

783

R79

176

8R

797

875

U

Air

craf

t-m

iles

(mill

ion

s)D

omes

tic o

pera

tions

858

1,13

42,

068

1,94

82,

523

3,04

63,

963

4,62

94,

811

R4,

911

R5,

035

R5,

332

R5,

664

5,55

0

Inte

rnat

iona

l ope

ratio

ns18

228

447

537

740

141

576

099

81,

043

R1,

114

R1,

192

R1,

225

R1,

282

1,25

8

Fu

el c

on

sum

pti

on

(m

illio

n g

allo

ns)

Dom

estic

ope

ratio

ns1,

954

3,88

97,

857

7,55

8R

8,51

910

,115

12,4

2912

,812

13,1

8713

,660

13,8

7714

,402

14,8

4514

,017

Inte

rnat

iona

l ope

ratio

ns56

61,

280

2,24

31,

949

R1,

747

2,48

83,

963

4,51

14,

658

4,96

45,

186

5,25

05,

475

5,23

7

Air

craf

t-m

iles

flo

wn

per

gal

lon

Dom

estic

ope

ratio

ns0.

440.

290.

260.

26R

0.30

0.30

0.32

0.36

0.36

0.36

0.36

0.37

0.38

0.40

Inte

rnat

iona

l ope

ratio

ns0.

320.

220.

210.

19R

0.23

0.17

0.19

0.22

0.22

0.22

0.23

0.23

0.23

0.24

KE

Y: R

= r

evis

ed; U

= d

ata

are

unav

aila

ble.

aA

ircr

aft

oper

atin

g un

der

14 C

FR 1

21 a

nd 1

4 C

FR 1

35.

SOU

RC

ES

Num

ber

of a

ircr

aft:

1960

-65:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion,

FA

A S

tati

stic

al H

andb

ook

of A

viat

ion,

197

0 ed

itio

n (W

ashi

ngto

n, D

C: 1

970)

, ta

ble

5.3.

1970

-75:

Ibi

d., F

AA

Sta

tist

ical

Han

dboo

k of

Avi

atio

n, C

alen

dar

Yea

r 19

79 (

Was

hing

ton,

DC

: 197

9), t

able

5.1

.19

80-8

5: I

bid.

, FA

A S

tati

stic

al H

andb

ook

of A

viat

ion,

Cal

enda

r Y

ear

1986

(W

ashi

ngto

n, D

C: 1

986)

, tab

le 5

.1.

1990

-97:

Ibi

d., F

AA

Sta

tist

ical

Han

dboo

k of

Avi

atio

n, C

alen

dar

Yea

r 19

97 (

Was

hing

ton,

DC

: unp

ublis

hed)

, per

sona

l com

mun

icat

ion,

Mar

. 19,

199

9.19

98-2

001:

Aer

ospa

ce I

ndus

trie

s A

ssoc

iati

on, A

eros

pace

Fac

ts a

nd F

igur

es (

Was

hing

ton

DC

: Ann

ual I

ssue

s), “

Act

ive

U.S

. Air

Car

rier

Fle

et.”

Air

craf

t-m

iles

flow

n:19

60: C

ivil

Aer

onau

tics

Boa

rd, H

andb

ook

of A

irlin

e St

atis

tics

196

9 (W

ashi

ngto

n, D

C: 1

970)

, par

t II

I, t

able

s 2

and

13.

1965

-70:

Ibi

d., H

andb

ook

of A

irlin

e St

atis

tics

197

3 (W

ashi

ngto

n, D

C: 1

974)

, par

t II

I, t

able

s 2

and

13.

1975

-80:

Ibi

d., A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n, D

C: D

ecem

ber

1976

), p

p. 4

and

14;

and

(D

ecem

ber

1981

), p

p. 2

and

3.

1985

-200

1: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n,

DC

: Ann

ual i

ssue

s, D

ecem

ber)

, pp.

2 a

nd 3

, lin

e 27

plu

s lin

e 50

.

Fuel

con

sum

ptio

n:19

60-2

001:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, O

ffic

e of

Air

line

Info

rmat

ion,

Int

erne

t si

te h

ttp:

//ww

w.b

ts.g

ov/p

rogr

ams/

oai/f

uel/f

uely

earl

y.ht

ml a

s of

Aug

. 1, 2

002.

Page 286: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 267

TABL

E 4-

9: M

otor

Veh

icle

Fue

l Con

sum

ptio

n an

d Tr

avel

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Veh

icle

s re

gist

ered

(th

ousa

nds)

a73

,858

90,3

5811

1,24

213

7,91

316

1,49

017

7,13

319

3,05

720

5,42

721

0,44

121

1,58

021

5,49

622

0,46

122

5,82

1

Veh

icle

-mile

s tr

avel

ed (

mill

ions

)R

718,

762

R88

7,81

2R1,

109,

724

R1,

327,

664

R1,

527,

295

R1,

774,

826

R2,

144,

362

R2,

422,

696

R2,

485,

848

2,56

1,69

5R2,

631,

522

2,69

1,05

62,

749,

803

Fue

l con

sum

ed (

mill

ion

gallo

ns)

57,8

8071

,104

92,3

2910

8,98

411

4,96

012

1,30

113

0,75

514

3,83

414

7,36

515

0,38

6R

155,

379

161,

411

162,

260

Ave

rage

mile

s tr

avel

ed p

er v

ehic

le (

thou

sand

s)9.

79.

810

.09.

69.

510

.011

.111

.811

.812

.112

.212

.212

.2

Ave

rage

mile

s tr

avel

ed p

er g

allo

n12

.412

.512

.012

.213

.314

.616

.416

.816

.917

.0R

16.9

16.7

16.9

Ave

rage

fuel

con

sum

ed p

er v

ehic

le (

gallo

ns)

784

787

830

790

712

685

677

700

700

711

R72

173

271

9

KE

Y: R

= r

evis

ed.

a I

nclu

des

pers

onal

pas

seng

er v

ehic

les,

bus

es, a

nd t

ruck

s.

NO

TE

See

tabl

es 4

-11,

4-1

2, 4

-13,

4-1

4, a

nd 4

-15

for

indi

vidu

al h

ighw

ay v

ehic

les.

SOU

RC

ES

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le V

M-2

01A

.19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.

Page 287: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

268 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-10

: Est

imat

ed C

onsu

mpt

ion

of A

ltern

ativ

e an

d Re

plac

emen

t Fue

ls fo

r Hig

hway

Veh

icle

s (T

hous

and

gaso

line-

equi

vale

nt g

allo

ns)

1992

1993

1994

1995

1996

1997

1998

1999

2000

PP20

01

Tota

l fu

el c

on

sum

pti

on

a13

4,23

0,63

113

5,91

3,33

414

0,71

8,15

214

4,77

4,64

314

8,17

9,61

615

1,59

7,85

915

6,83

9,18

616

1,24

7,14

016

1,78

4,10

016

4,23

1,34

1

Alt

ern

ativ

e fu

els

Liqu

efie

d pe

trol

eum

gas

es20

8,14

226

4,65

524

8,46

723

2,70

123

9,15

823

8,35

624

1,58

324

2,14

124

2,69

524

3,19

6

Com

pres

sed

natu

ral g

as16

,823

21,6

0324

,160

35,1

6246

,923

65,1

9273

,251

86,2

8697

,568

107,

476

Liqu

efie

d na

tura

l gas

585

1,90

12,

345

2,75

93,

247

3,71

45,

343

5,82

86,

847

7,56

6

Met

hano

l, 85

%b

1,06

91,

593

2,34

02,

023

1,77

51,

554

1,21

21,

073

996

918

Met

hano

l, ne

at2,

547

3,16

63,

190

2,15

034

734

744

944

743

740

6

Eth

anol

, 85%

b21

4880

190

694

1,28

01,

727

2,07

53,

344

4,57

5

Met

hano

l, 95

%b

8580

140

995

2,69

91,

136

5959

5451

Ele

ctric

ity35

928

843

066

377

31,

010

1,20

21,

431

1,81

92,

143

Tota

l22

9,63

129

3,33

428

1,15

227

6,64

329

5,61

631

2, 5

8932

4,82

633

9,34

035

3,76

036

6,33

1

Oxy

gen

ates

Met

hyl-t

ertia

ry-b

utyl

-eth

erc

1,17

5,00

02,

069,

200

2,01

8,80

02,

691,

200

2,74

9,70

03,

104,

200

2,91

5,60

03,

331,

000

3,10

4,20

02,

937,

500

Eth

anol

in g

asoh

ol70

1,00

076

0,00

084

5,90

091

0,70

066

0,20

083

0,70

091

6,00

095

6,90

01,

011,

800

1,06

6,00

0

Trad

itio

nal

fu

els

Gas

olin

ed11

0,13

5,00

011

1,32

3,00

011

3,14

4,00

011

5,94

3,00

011

7,78

3,00

011

9,33

6,00

012

2,84

9,00

012

5,11

1,00

012

4,65

1,00

012

6,28

4,00

0

Die

sel

23,8

66,0

0024

,296

,630

27,2

93,3

7028

,555

,040

30,1

01,4

3031

,949

,270

33,6

65,3

6035

,796

,800

36,7

79,3

4037

,581

,010

Tota

l13

4,00

1,00

013

5,62

0,00

014

0,43

7,00

014

4,49

8,00

014

7,88

4,00

015

1,28

5,27

015

6,51

4,36

016

0,90

7,80

016

1,43

0,34

016

3,86

5,01

0

KE

Y: P

P =

bas

ed o

n pl

ans

or p

roje

ctio

ns.

aTo

tal f

uel c

onsu

mpt

ion

is t

he s

um o

f al

tern

ativ

e fu

els,

gas

olin

e, a

nd d

iese

l. O

xyge

nate

con

sum

ptio

n is

incl

uded

in g

asol

ine

cons

umpt

ion.

bT

he r

emai

ning

por

tion

of

85%

met

hano

l, 85

% e

than

ol, a

nd 9

5% e

than

ol f

uels

is g

asol

ine.

Con

sum

ptio

n da

ta in

clud

e th

e ga

solin

e po

rtio

n of

the

fue

l.c

Inc

lude

s a

very

sm

all a

mou

nt o

f ot

her

ethe

rs, p

rim

arily

ter

tiar

y-am

yl-m

ethy

l-et

her

and

ethy

l-te

rtia

ry-b

utyl

-eth

er.

dG

asol

ine

cons

umpt

ion

incl

udes

eth

anol

in g

asoh

ol a

nd m

ethy

l-te

rtia

ry-b

utyl

-eth

er.

NO

TE

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

EU

.S. D

epar

tmen

t of

Ene

rgy,

Ene

rgy

Info

rmat

ion

Adm

inis

trat

ion,

Alt

erna

tive

s to

Tra

diti

onal

Tra

nspo

rtat

ion

Fuel

s 19

99, a

vaila

ble

at w

ww

.eia

.doe

.gov

as

of S

ept.

20

, 200

2.

Page 288: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 269

TABL

E 4-

11:

Pass

enge

r Car

and

Mot

orcy

cle

Fuel

Con

sum

ptio

n an

d Tr

avel

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Veh

icle

s re

gis

tere

d (

tho

usa

nd

s)P

asse

nger

car

s61

,671

75,2

5889

,244

106,

706

121,

601

127,

885

133,

700

128,

387

129,

728

129,

749

131,

839

132,

432

133,

621

Mot

orcy

cles

574

1,38

22,

824

4,96

45,

694

5,44

44,

259

3,89

73,

872

3,82

63,

879

4,15

24,

346

Veh

icle

-mile

s tr

avel

ed (

mill

ion

s)P

asse

nger

car

s58

7,00

072

3,00

091

7,00

01,

034,

000

1,11

2,00

01,

247,

000

1,40

8,00

01,

438,

000

1,47

0,00

01,

502,

556

R1,

549,

577

1,56

9,10

01,

601,

914

Mot

orcy

cles

aa

3,00

05,

600

10,2

009,

100

9,60

09,

800

9,90

010

,081

R10

,283

10,5

8410

,479

Fu

el c

on

sum

ed (

mill

ion

gal

lon

s)P

asse

nger

car

s41

,171

49,7

2367

,819

74,1

4069

,982

71,5

1869

,568

68,0

7269

,221

69,8

92R

71,6

9573

,283

72,9

16

Mot

orcy

cles

aa

6011

320

418

219

119

619

820

2R

206

212

210

Ave

rag

e m

iles

trav

eled

per

veh

icle

(th

ou

san

ds)

Pas

seng

er c

ars

9.5

9.6

10.3

9.7

9.1

9.8

10.5

11.2

11.3

11.6

11.7

11.8

12.0

Mot

orcy

cles

aa

1.1

1.1

1.8

1.7

2.2

2.5

2.6

2.6

2.6

2.5

2.4

Ave

rag

e m

iles

trav

eled

per

gal

lon

Pas

seng

er c

ars

14.3

14.5

13.5

13.9

15.9

17.4

20.2

21.1

21.2

21.5

R21

.621

.422

Mot

orcy

cles

aa

5050

5050

5050

5050

5050

50

Ave

rag

e fu

el c

on

sum

ed p

er v

ehic

le (

gal

lon

s)P

asse

nger

car

s66

866

176

069

557

655

952

053

053

453

9R

544

553

546

Mot

orcy

cles

aa

2123

3633

4550

5153

5351

48

KE

Y: R

= r

evis

ed.

aIn

clud

ed in

pas

seng

er c

ar.

NO

TE

See

tabl

e 4-

12 f

or o

ther

2-a

xle

4-ti

re v

ehic

les.

SOU

RC

ES

Pass

enge

r ca

r:N

umbe

r re

gist

ered

:19

60-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

MV

-201

. 19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.A

ll ot

her

cate

gori

es:

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le V

M-2

01A

. For

197

0-94

, the

unr

evis

ed m

otor

cycl

e ve

hicl

e-m

iles

and

fuel

con

sum

ed a

re s

ubtr

acte

d fr

om t

he c

ombi

ned

pass

enge

r ca

r an

d m

otor

-cy

cle

vehi

cle-

mile

s an

d fu

el c

onsu

med

fro

m V

M-2

01A

. 19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.M

otor

cycl

e:N

umbe

r re

gist

ered

:19

60-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

MV

-201

. 19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

. A

ll ot

her

cate

gori

es:

1970

-85:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

985,

tab

le V

M-2

01A

.19

90-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.A

vera

ge m

iles

trav

eled

per

veh

icle

, ave

rage

mile

s tr

avel

ed p

er g

allo

n, a

vera

ge f

uel c

onsu

med

per

veh

icle

: der

ived

by

calc

ulat

ion.

Page 289: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

270 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-12

: Oth

er 2

-Axl

e 4-

Tire

Veh

icle

Fue

l Con

sum

ptio

n an

d Tr

avel

1970

1975

1980

1985

1990

1995

1996

1997

1998

R19

9920

00N

umbe

r re

gist

ered

(th

ousa

nds)

14,2

1120

,418

27,8

7637

,214

48,2

7565

,738

69,1

3470

,224

71,3

3075

,356

79,0

85V

ehic

le-m

iles

trav

eled

(m

illio

ns)

123,

000

201,

000

291,

000

391,

000

575,

000

790,

000

817,

000

850,

000

868,

275

901,

022

924,

018

Fue

l con

sum

ed (

mill

ion

gallo

ns)

12,3

1319

,081

23,7

9627

,363

35,6

1145

,605

47,3

5449

,370

50,4

6252

,859

52,8

32

Ave

rage

mile

s tr

avel

ed p

er v

ehic

le (

thou

sand

s)8.

79.

810

.410

.511

.912

.011

.812

.112

.212

.011

.7A

vera

ge m

iles

trav

eled

per

gal

lon

10.0

10.5

12.2

14.3

16.1

17.3

17.2

17.2

17.2

17.0

17.5

Ave

rage

fuel

con

sum

ed p

er v

ehic

le (

gallo

ns)

866

934

854

735

738

694

685

703

707

701

668

KE

Y: R

= r

evis

ed.

NO

TE

Nea

rly

all v

ehic

les

in t

his

cate

gory

are

ligh

t tr

ucks

, whi

ch in

clud

e va

ns, p

icku

p tr

ucks

, and

spo

rt u

tilit

y ve

hicl

es. I

n 19

95, t

he U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fe

dera

l Hig

hway

Adm

inis

trat

ion

revi

sed

its

vehi

cle

cate

gori

es b

egin

ning

wit

h 19

93 d

ata.

The

y ar

e pa

ssen

ger

car,

othe

r 2-

axle

4-t

ire

vehi

cle,

sin

gle-

unit

2-a

xle

6-ti

re o

r m

ore

truc

k, a

nd c

ombi

nati

on t

ruck

. Pri

or t

o 19

93, s

ome

min

ivan

s an

d sp

ort

utili

ty v

ehic

les

wer

e in

clud

ed u

nder

the

pas

seng

er c

ar c

ateg

ory.

SOU

RC

ES

1970

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Ju

ly 1

997)

, tab

le V

M-2

01A

. 19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.

Page 290: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 271

TABL

E 4-

13: S

ingl

e-Un

it 2-

Axle

6-T

ire o

r Mor

e Tr

uck

Fuel

Con

sum

ptio

n an

d Tr

avel

a

1970

1975

1980

1985

1990

1995

1996

1997

R19

9819

9920

00N

umbe

r re

gist

ered

(th

ousa

nds)

3,68

14,

232

4,37

44,

593

4,48

75,

024

R5,

266

5,29

35,

735

5,76

35,

926

Veh

icle

-mile

s (m

illio

ns)

27,1

0034

,600

39,8

0045

,400

51,9

0062

,705

R64

,072

66,8

9368

,021

70,3

0470

,583

Fue

l con

sum

ed (

mill

ion

gallo

ns)

3,96

85,

420

6,92

37,

399

8,35

79,

216

R9,

408

9,57

66,

817

9,37

29,

548

Ave

rage

mile

s tr

avel

ed p

er v

ehic

le (

thou

sand

s)7.

48.

29.

19.

911

.612

.512

.212

.611

.912

.211

.9A

vera

ge m

iles

trav

eled

per

gal

lon

6.8

6.4

5.8

6.1

6.2

6.8

6.8

7.0

10.0

7.5

7.4

Ave

rage

fuel

con

sum

ed p

er v

ehic

le (

gallo

ns)

1,07

81,

281

1,58

31,

611

1,86

21,

835

R1,

787

1,80

91,

189

1,62

61,

611

KE

Y: R

= r

evis

ed.

aB

egin

ning

in 1

998,

the

Fed

eral

Hig

hway

Adm

inis

trat

ion

(FH

WA

) us

ed t

he C

ensu

s B

urea

u’s

1997

Veh

icle

Inv

ento

ry a

nd U

se S

urve

y (V

IUS)

for

its

base

line

esti

mat

e of

sin

gle-

unit

2-a

xle

6-ti

re o

r m

ore

truc

ks. P

rior

to 1

998,

the

FH

WA

use

d th

e C

ensu

s B

urea

u’s

1992

Tra

nspo

rtat

ion

Inve

ntor

y an

d U

se S

urve

y (T

IUS)

fo

r it

s ba

selin

e es

tim

ates

. The

refo

re, p

ost-

1997

dat

a m

ay n

ot b

e co

mpa

rabl

e to

199

7 an

d ea

rlie

r ye

ars.

NO

TE

In 1

995,

the

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n re

vise

d it

s ve

hicl

e ca

tego

ries

beg

inni

ng w

ith

1993

dat

a to

incl

ude

pass

enge

r ca

rs, o

ther

2-a

xle

4-ti

re v

ehic

les,

sin

gle-

unit

2-a

xle

6-ti

re o

r m

ore

truc

ks, a

nd c

ombi

nati

on t

ruck

s. S

ingl

e-un

it 2

-axl

e 6-

tire

or

mor

e tr

ucks

are

on

a si

ngle

fr

ame

wit

h at

leas

t 2

axle

s an

d 6

tire

s. P

re-1

993

data

hav

e be

en r

eass

igne

d to

the

mos

t ap

prop

riat

e ca

tego

ry.

SOU

RC

ES

1970

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le V

M-2

01A

. 19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.

Page 291: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

272 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-14

: Com

bina

tion

Truc

k Fu

el C

onsu

mpt

ion

and

Trav

ela

1965

1970

1975

1980

1985

1990

1995

1996

1997

R19

9819

9920

00N

umbe

r re

gist

ered

(th

ousa

nds)

787

905

1,13

11,

417

1,40

31,

709

1,69

61,

747

1,79

01,

997

2,02

92,

097

Veh

icle

-mile

s tr

avel

ed (

mill

ions

)31

,700

35,1

0046

,700

68,7

0078

,100

94,3

0011

5,50

011

8,90

012

4,58

412

8,35

913

2,38

413

5,20

8F

uel c

onsu

med

(m

illio

n ga

llons

)6,

658

7,34

89,

177

13,0

3714

,005

16,1

3319

,777

20,1

93R

20,3

0125

,158

24,5

3725

,645

Ave

rage

mile

s tr

avel

ed p

er v

ehic

le (

thou

sand

s)40

.338

.841

.348

.555

.755

.268

.168

.169

.664

.365

.364

.5A

vera

ge m

iles

trav

eled

per

gal

lon

4.8

4.8

5.1

5.3

5.6

5.8

5.8

5.9

6.1

5.1

5.4

5.3

Ave

rage

fuel

con

sum

ed p

er v

ehic

le (

gallo

ns)

8,46

58,

119

8,11

69,

201

9,98

09,

441

11,6

6311

,561

R11

,342

12,5

9612

,096

12,2

32

KE

Y: R

= r

evis

ed.

aB

egin

ning

in 1

998,

the

Fed

eral

Hig

hway

Adm

inis

trat

ion

(FH

WA

) us

ed t

he C

ensu

s B

urea

u’s

1997

Veh

icle

Inv

ento

ry a

nd U

se S

urve

y (V

IUS)

for

its

base

line

esti

mat

e of

com

bina

tion

tru

cks.

Pri

or t

o 19

98, t

he F

HW

A u

sed

the

Cen

sus

Bur

eau’

s 19

92 T

rans

port

atio

n In

vent

ory

and

Use

Sur

vey

(TIU

S) f

or it

s ba

selin

e es

tim

ates

. The

refo

re, p

ost-

1997

dat

a m

ay n

ot b

e co

mpa

rabl

e to

199

7 an

d ea

rlie

r ye

ars.

SOU

RC

ES

1965

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le V

M-2

01A

. 19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.

Page 292: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 273

TABL

E 4-

15: B

us F

uel C

onsu

mpt

ion

and

Trav

el

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

19

9920

00N

umbe

r re

gist

ered

(th

ousa

nds)

272

314

378

462

529

593

627

686

695

698

716

729

746

Veh

icle

-mile

s tr

avel

ed (

mill

ions

)4,

300

4,70

04,

500

6,10

06,

100

4,50

05,

700

6,40

06,

600

6,84

2R

7,00

77,

662

7,60

1

Fue

l con

sum

ed (

mill

ion

gallo

ns)

827

875

820

1,05

31,

018

834

895

968

990

1,02

7R

1,04

01,

148

1,11

0

Ave

rage

mile

s tr

avel

ed p

er v

ehic

le (

thou

sand

s)16

.014

.912

.013

.111

.57.

59.

19.

49.

49.

89.

810

.510

Ave

rage

mile

s tr

avel

ed p

er g

allo

n5.

35.

35.

55.

86.

05.

46.

46.

66.

66.

76.

76.

77

Ave

rage

fuel

con

sum

ed p

er v

ehic

le (

gallo

ns)

3,03

92,

784

2,17

22,

279

1,92

61,

405

1,42

81,

412

1,42

51,

471

R1,

454

1,57

61,

488

KE

Y: R

= r

evis

ed.

NO

TE

Incl

udes

bot

h pu

blic

ly a

nd p

riva

tely

ow

ned

scho

ol, t

rans

it, a

nd o

ther

com

mer

cial

bus

es.

SOU

RC

ES

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Ju

ly 1

997)

, tab

le V

M-2

01A

.19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.

Page 293: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

274 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-16

: Tra

nsit

Indu

stry

Ele

ctric

Pow

er a

nd P

rimar

y En

ergy

Con

sum

ptio

na a

nd T

rave

l

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

P20

00N

umbe

r of

veh

icle

s65

,292

61,7

1761

,298

62,1

8375

,388

94,3

6892

,961

115,

874

122,

362

126,

360

123,

855

128,

516

131,

493

Veh

icle

-mile

s tr

avel

ed2,

143

2,00

81,

883

2,17

62,

287

2,79

13,

242

3,55

03,

650

3,74

63,

794

3,97

24,

081

Ele

ctric

pow

er c

onsu

med

(m

illio

n kW

h ho

urs)

2,90

82,

584

2,56

12,

646

2,44

64,

216

4,83

75,

068

5,00

74,

988

5,07

35,

237

5,51

0

Pri

mar

y en

erg

y co

nsu

med

(th

ou

san

d g

allo

ns)

Die

sel

208,

100

248,

400

270,

600

365,

060

431,

400

608,

738

651,

030

678,

286

692,

714

716,

952

739,

621

763,

369

786,

025

Gas

olin

e an

d ot

her

nond

iese

l fue

lsb

191,

900

124,

200

68,2

007,

576

11,4

0045

,704

33,9

0660

,730

61,2

1359

,463

52,6

1548

,694

48,2

84

Com

pres

sed

natu

ral g

asN

NN

NN

NN

10,7

4015

,092

23,9

0637

,268

44,3

9854

,794

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; kW

h =

kilo

wat

t hou

r; N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary.

aPr

ior

to 1

985,

exc

lude

s co

mm

uter

rai

l, au

tom

ated

gui

dew

ay, u

rban

fer

rybo

at, d

eman

d re

spon

sive

veh

icle

s, a

nd m

ost

rura

l and

sm

alle

r sy

stem

s.b

For

1995

-96,

incl

udes

pro

pane

, liq

uid

petr

oleu

m g

as, l

ique

fied

nat

ural

gas

, ker

osen

e, a

nd a

ll ot

her

nond

iese

l fue

ls e

xcep

t co

mpr

esse

d na

tura

l gas

. 196

0 to

19

90 d

ata

incl

ude

prop

ane.

Ser

ies

not

cont

inuo

us b

etw

een

1991

and

199

2.

NO

TE

ST

he h

eat

equi

vale

nt f

acto

rs u

sed

in B

tu c

onve

rsio

ns a

re: d

iese

l = 1

38,7

00 B

tu/g

allo

n; e

lect

ric

= 3,

412

Btu

/kW

h, n

egat

ing

elec

tric

al s

yste

m lo

ses

(to

incl

ude

elec

tri-

cal s

yste

m lo

ses,

mul

tipl

y th

is c

onve

rsio

n fa

ctor

by

appr

oxim

atel

y th

ree)

gas

olin

e =

125,

000

Btu

/gal

lon.

In

Jan

uary

200

0, t

he A

mer

ican

Pub

lic T

rans

it A

ssoc

iati

on c

hang

ed it

s na

me

to th

e A

mer

ican

Pub

lic T

rans

port

atio

n A

ssoc

iati

on (

APT

A).

The

Tra

nsit

Fac

t B

ook

is

now

ref

erre

d to

as

the

Pub

lic T

rans

port

atio

n Fa

ct B

ook

.

SOU

RC

EA

mer

ican

Pub

lic T

rans

port

atio

n A

ssoc

iati

on, P

ublic

Tra

nspo

rtat

ion

Fact

Boo

k (W

ashi

ngto

n, D

C: F

ebru

ary

2002

), t

able

s 42

, 46,

65,

66,

67,

and

sim

ilar

tabl

es in

ea

rlie

r ed

itio

ns o

f th

e A

PTA

Tra

nsit

Fac

t B

ook.

Page 294: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 275

TABL

E 4-

17: C

lass

I Ra

il Fr

eigh

t Fue

l Con

sum

ptio

n an

d Tr

avel

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Nu

mb

er in

use

Loco

mot

ives

a29

,031

27,7

8027

,077

27,8

4628

,094

22,5

4818

,835

18,8

1219

,269

19,6

8420

,261

20,2

5620

,028

Car

sb1,

965,

486

1,80

0,96

21,

784,

181

1,72

3,60

51,

710,

827

1,42

1,68

61,

212,

261

1,21

8,92

71,

240,

573

1,27

0,41

91,

315,

667

1,36

8,83

61,

380,

796

Mile

s tr

avel

ed (

mill

ion

s)

Frei

ght t

rain

-mile

sc40

442

142

740

342

834

738

045

846

947

547

549

050

4

Loco

mot

ive

unit-

mile

sN

NN

1,47

91,

531

1,22

81,

280

1,44

51,

465

1,42

31,

440

1,50

41,

503

Car

-mile

s28

,170

29,3

3629

,890

27,6

5629

,277

24,9

2026

,159

30,3

8331

,715

31,6

6032

,657

33,8

5134

,590

Ave

rag

e m

iles

trav

eled

per

veh

icle

(th

ou

san

ds)

Loco

mot

ives

NN

N53

.154

.554

.568

.076

.876

.072

.371

.174

.275

.0

Car

s14

.316

.316

.816

.017

.117

.521

.624

.925

.624

.924

.824

.725

.1

Ave

rag

e m

iles

trav

eled

per

gal

lon

Trai

ns0.

120.

120.

120.

110.

110.

110.

120.

130.

130.

130.

130.

130.

14

Car

s8.

138.

178.

437.

567.

508.

018.

408.

738.

868.

869.

119.

119.

35

Fu

el c

on

sum

ed (

mill

ion

gal

lon

s)3,

463

3,59

23,

545

3,65

73,

904

3,11

03,

115

3,48

03,

579

3,57

53,

583

3,71

53,

700

Ave

rag

e fu

el c

on

sum

ed p

erlo

com

oti

vea

(th

ou

san

d g

allo

ns)

119.

312

9.3

130.

913

1.3

139.

013

7.9

165.

418

5.0

185.

718

1.6

176.

818

3.4

184.

7

KE

Y: N

= d

ata

do n

ot e

xist

; U =

dat

a ar

e no

t ava

ilabl

e.

aFo

r 19

60-8

0, t

he t

otal

incl

udes

a s

mal

l num

ber

of s

team

and

ele

ctri

c un

its,

whi

ch a

re n

ot in

clud

ed in

the

per

loco

mot

ive

fuel

con

sum

ptio

n fi

gure

.b

Incl

udes

car

s ow

ned

by C

lass

I r

ailr

oads

, oth

er r

ailr

oads

, and

car

com

pani

es a

nd s

hipp

ers.

cB

ased

on

the

dist

ance

run

bet

wee

n te

rmin

als

and

/ or

stat

ions

; doe

s no

t in

clud

e ya

rd o

r pa

ssen

ger

trai

n-m

iles.

SOU

RC

ES

All

data

exc

ept

for

loco

mot

ive

unit

-mile

s:A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: O

ctob

er 2

000)

, pp.

33,

34,

40,

49,

and

51.

Loc

omot

ive

unit

-mile

s:19

75-9

0: I

bid.

, Rai

lroa

d T

en-Y

ear

Tre

nds

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

1995

-200

0: I

bid.

, Ana

lysi

s of

Cla

ss I

Rai

lroa

ds (

Was

hing

ton,

DC

: Ann

ual i

ssue

s), p

. 29.

Page 295: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

276 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-18

: Am

trak

Fuel

Con

sum

ptio

n an

d Tr

avel

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Nu

mb

er in

use

Loco

mot

ives

355

419

291

318

313

299

332

345

329

378

Car

s1,

913

2,12

81,

854

1,86

31,

722

1,73

01,

728

1,96

21,

992

1,89

4

Mile

s tr

avel

ed (

mill

ion

s)Tr

ain-

mile

s30

3030

3332

3032

3334

35C

ar-m

iles

253

235

251

301

292

276

288

312

342

368

Lo

com

oti

ve f

uel

co

nsu

med

Ele

ctric

(m

illio

n of

kW

h ho

urs)

180

254

295

330

304

293

282

275

283

350

Die

sel (

mill

ion

gallo

ns)

6364

6582

6671

7575

7476

Ave

rag

e m

iles

trav

eled

per

car

132,

000

110,

000

135,

000

162,

000

170,

000

160,

000

167,

000

159,

000

172,

000

194,

000

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; kW

h =

kilo

wat

t hou

r.

NO

TE

The

hea

t eq

uiva

lent

fac

tors

use

d in

Btu

con

vers

ions

are

: die

sel =

138

,700

Btu

/gal

lon;

ele

ctri

c =

3,41

2 B

tu/k

Wh,

neg

atin

g el

ectr

ical

sys

tem

lose

s (t

o in

clud

e el

ec-

tric

al s

yste

m lo

ses,

mul

tipl

y th

is c

onve

rsio

n fa

ctor

by

appr

oxim

atel

y th

ree)

.

SOU

RC

ES

Num

ber

of lo

com

otiv

es a

nd c

ars:

1975

–80:

Am

trak

, Sta

te a

nd L

ocal

Aff

airs

Dep

artm

ent,

per

sona

l com

mun

icat

ion.

1985

–200

0: I

bid.

, Am

trak

Ann

ual R

epor

t, S

tati

stic

al A

ppen

dix

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Mile

s tr

avel

ed:

Tra

in-m

iles:

19

75–2

000:

Am

trak

, Am

trak

Ann

ual R

epor

t, S

tati

stic

al A

ppen

dix

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Car

-mile

s:19

75: A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, Y

earb

ook

of R

ailr

oad

Fact

s 19

75 (

Was

hing

ton,

DC

: 197

6), p

. 40.

1980

–85:

Am

trak

, Sta

te a

nd L

ocal

Aff

airs

Dep

artm

ent

and

Publ

ic A

ffai

rs D

epar

tmen

t, p

erso

nal c

omm

unic

atio

n.

1990

–200

0: I

bid.

, Am

trak

Cor

pora

te R

epor

ting

, Rou

te P

rofi

tabi

lity

Syst

em, p

erso

nal c

omm

unic

atio

n, A

ug. 2

2, 2

001.

Loc

omot

ive

fuel

con

sum

ed:

1975

–200

0: A

mtr

ak, S

tate

and

Loc

al A

ffai

rs D

epar

tmen

t, p

erso

nal c

omm

unic

atio

n.

Page 296: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Consumption by Mode � 277

TABL

E 4-

19: U

.S. G

over

nmen

t Ene

rgy

Cons

umpt

ion

by A

genc

y an

d So

urce

(Tril

lion

Btu)

Pet

role

um

Mo

tor

gas

olin

e D

istil

late

and

re

sid

ual f

uel o

ilJe

t fu

el a

nd

av

iati

on

gas

Oth

erc

Tota

lE

lect

rici

tyN

atu

ral

gas

Co

al a

nd

o

ther

dTo

tal

FY

199

0A

gric

ultu

re4.

60.

80.

10.

25.

72.

01.

70.

19.

5D

efen

se12

.521

8.0

723.

94.

495

8.9

120.

611

4.5

47.7

1,24

1.7

Ene

rgy

1.2

2.9

0.4

0.2

4.8

19.1

9.6

10.0

43.5

GS

A0.

10.

70.

00.

00.

89.

12.

41.

914

.2H

ealth

and

Hum

an S

ervi

ces

0.0

2.1

0.0

0.0

2.1

3.4

2.2

0.2

8.0

Inte

rior

2.1

1.2

0.3

1.1

4.6

1.4

1.2

0.2

7.4

Just

ice

1.8

0.4

0.2

0.0

2.5

1.9

2.2

0.4

7.0

NA

SA

0.2

0.9

1.5

0.0

2.6

6.6

2.8

0.3

12.3

Pos

tal S

ervi

ce8.

94.

50.

00.

213

.611

.84.

60.

630

.6

Tran

spor

tatio

n1.

86.

55.

50.

113

.83.

91.

10.

119

.0V

eter

ans

Affa

irs0.

42.

30.

00.

02.

77.

913

.01.

224

.9

Oth

era

3.5

4.2

1.0

0.0

8.7

8.1

2.4

0.5

19.6

Tota

l37

.224

4.5

732.

96.

31,

020.

919

5.8

157.

863

.11,

437.

6

FY

200

0P

Agr

icul

ture

3.3

0.2

0.0

0.1

3.6

2.0

1.9

0.3

7.8

Def

ense

13.5

154.

443

9.1

1.6

608.

610

3.2

81.7

30.9

824.

4

Ene

rgy

1.0

1.2

0.2

0.1

2.6

15.9

5.9

4.3

28.7

GS

A0.

10.

10.

00.

00.

29.

86.

11.

517

.6H

ealth

and

Hum

an S

ervi

ces

0.4

0.6

0.0

0.1

1.2

2.9

3.3

0.4

7.8

Inte

rior

2.8

0.9

0.2

1.1

5.0

1.7

1.3

0.1

8.1

Just

ice

4.8

0.4

1.5

0.0

6.7

4.3

5.3

0.5

16.7

NA

SA

0.2

0.4

1.1

0.0

1.8

6.0

3.1

0.3

11.1

Con

tinue

d ne

xt p

age

Page 297: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

278 � Chapter 4: Transportation, Energy, and the Environment

Pos

tal S

ervi

ce10

.45.

00.

00.

015

.418

.67.

40.

441

.9

Tran

spor

tatio

n0.

87.

34.

00.

112

.18.

00.

90.

021

.1V

eter

ans

Affa

irs1.

21.

20.

00.

02.

49.

314

.21.

527

.5

Oth

erb

2.4

2.8

0.9

0.0

6.2

10.2

3.9

0.6

20.9

Tota

l 41

.117

4.4

447.

13.

366

5.9

191.

813

4.9

40.9

1,03

3.5

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; F

Y =

fisc

al y

ear;

GS

A =

Gen

eral

Ser

vice

s A

dmin

istr

atio

n; N

AS

A =

Nat

iona

l Aer

onau

tics

and

Spa

ce A

dmin

istr

atio

n; P

= p

relim

inar

y.

aIn

clud

es U

.S. D

epar

tmen

t of

Com

mer

ce, P

anam

a C

anal

Com

mis

sion

, Ten

ness

ee V

alle

y A

utho

rity

, U.S

. Dep

artm

ent

of L

abor

, U.S

. Dep

artm

ent

of H

ousi

ng

and

Urb

an D

evel

opm

ent,

Fed

eral

Com

mun

icat

ions

Com

mis

sion

, Off

ice

of P

erso

nnel

Man

agem

ent,

U.S

. Dep

artm

ent

of S

tate

, Sm

all B

usin

ess

Adm

inis

trat

ion,

N

atio

nal S

cien

ce F

ound

atio

n, U

.S. D

epar

tmen

t of

Tre

asur

y, a

nd E

nvir

onm

enta

l Pro

tect

ion

Age

ncy.

b

Incl

udes

Nat

iona

l Arc

hive

s an

d R

ecor

ds A

dmin

istr

atio

n, U

.S. D

epar

tmen

t of

Com

mer

ce, U

.S. D

epar

tmen

t of

Lab

or, U

.S. D

epar

tmen

t of

Sta

te, E

nvir

onm

enta

l Pr

otec

tion

Age

ncy,

Fed

eral

Com

mun

icat

ions

Com

mis

sion

, Fed

eral

Tra

de C

omm

issi

on, P

anam

a C

anal

Com

mis

sion

, Equ

al E

mpl

oym

ent

Opp

ortu

nity

Com

-m

issi

on, N

ucle

ar R

egul

ator

y C

omm

issi

on, O

ffic

e of

Per

sonn

el M

anag

emen

t, U

.S. D

epar

tmen

t of

Hou

sing

and

Urb

an D

evel

opm

ent,

U.S

. Dep

artm

ent

of T

rea-

sury

, Ten

ness

ee V

alle

y A

utho

rity

, Rai

lroa

d R

etir

emen

t B

oard

, U.S

. Inf

orm

atio

n A

genc

y, a

nd F

eder

al E

mer

genc

y M

anag

emen

t A

genc

y.c

Incl

udes

liqu

efie

d pe

trol

eum

gas

es.

dIn

clud

es p

urch

ased

ste

am, c

oal,

and

othe

r.

NO

TE

SN

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.The

se d

ata

incl

ude

ener

gy c

onsu

med

at

fore

ign

inst

alla

tion

s an

d in

for

eign

ope

rati

ons,

incl

udin

g av

iati

on a

nd

ocea

n bu

nker

ing,

pri

mar

ily b

y th

e U

.S. D

epar

tmen

t of

Def

ense

. U.S

. gov

ernm

ent

ener

gy u

se f

or e

lect

rici

ty g

ener

atio

n an

d ur

aniu

m e

nric

hmen

t is

exc

lude

d.

Oth

er e

nerg

y us

ed b

y U

.S. a

genc

ies

that

pro

duce

ele

ctri

city

or

enri

ched

ura

nium

is in

clud

ed. T

he U

.S. g

over

nmen

t’s f

isca

l yea

r ru

ns f

rom

Oct

ober

1 t

hrou

gh

Sept

embe

r 30

. T

his

tabl

e us

es a

con

vers

ion

fact

or f

or e

lect

rici

ty o

f 3,

412

Btu

per

kilo

wat

t-ho

ur, a

nd a

con

vers

ion

fact

or f

or p

urch

ased

ste

am o

f 1,

000

Btu

per

pou

nd.

SOU

RC

EU

.S. D

epar

tmen

t of

Ene

rgy,

Ene

rgy

Info

rmat

ion

Adm

inis

trat

ion,

Ann

ual E

nerg

y R

evie

w 2

000,

DO

E/E

IA-0

384(

2000

) (W

ashi

ngto

n, D

C: A

ugus

t 20

01),

tab

le

1.13

. Int

erne

t si

te h

ttp:

//ww

w.e

ia.d

oe.g

ov/e

meu

/aer

/ as

of A

ug. 3

0, 2

002.

TABL

E 4-

19: U

.S. G

over

nmen

t Ene

rgy

Cons

umpt

ion

by A

genc

y an

d So

urce

(Tril

lion

Btu)

(Con

tinue

d)

Pet

role

um

Mo

tor

gas

olin

e D

istil

late

and

re

sid

ual f

uel o

ilJe

t fu

el a

nd

av

iati

on

gas

Oth

erc

Tota

lE

lect

rici

tyN

atu

ral

gas

Co

al a

nd

o

ther

dTo

tal

Page 298: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter four

Section CTransportation Energy

Intensity and Fuel Efficiency

Page 299: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 300: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Intensity and Fuel Efficiency � 281

TABL

E 4-

20: E

nerg

y In

tens

ity o

f Pas

seng

er M

odes

(Btu

per

pas

seng

er-m

ile)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

, cer

tifi

cate

d c

arri

erD

omes

tic o

pera

tions

8,63

310

,118

10,1

857,

746

5,72

75,

047

4,93

24,

382

4,18

34,

166

4,12

34,

049

R3,

942

Inte

rnat

iona

l ope

ratio

ns9,

199

10,2

9210

,986

8,46

54,

339

5,10

34,

546

4,17

34,

108

4,16

84,

278

4,12

34,

009

Hig

hw

aya

Pas

seng

er c

ar4,

495

4,45

54,

841

4,74

34,

348

4,26

73,

812

3,72

13,

688

3,65

73,

637

3,67

23,

578

Oth

er 2

-axl

e 4-

tire

vehi

cle

NN

6,81

06,

571

5,70

94,

971

4,45

14,

538

4,54

14,

564

4,56

94,

612

4,49

5M

otor

cycl

eb

b2,

500

2,35

42,

125

1,89

61,

990

2,27

42,

271

2,27

32,

273

2,27

32,

273

Tran

sit

mo

tor

bu

sN

NN

N2,

742

3,39

63,

723

4,15

54,

196

4,22

84,

133

4,04

4P4,

147

Am

trak

NN

N2,

383

2,16

42,

094

2,06

41,

838

2,14

82,

200

2,13

82,

107

2,13

4

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aFo

r 19

95 a

nd s

ubse

quen

t ye

ars,

hig

hway

pas

seng

er-m

iles

wer

e ta

ken

dire

ctly

fro

m H

ighw

ay S

tati

stic

s ra

ther

tha

n de

rive

d fr

om v

ehic

le-m

iles

and

aver

age

occu

panc

y, a

s is

the

cas

e fo

r 19

60-1

994.

bIn

clud

ed in

pas

seng

er c

ar.

NO

TE

STo

cal

cula

te t

otal

Btu

, mul

tipl

y fu

el c

onsu

med

(se

e ta

bles

4-2

1, 4

-22,

4-2

4, 4

-25)

by

135,

000

Btu

/gal

lon

for

air

carr

ier,

125,

000

Btu

/gal

lon

for

pass

enge

r ca

r, ot

her

2-ax

le 4

-tir

e ve

hicl

e, a

nd m

otor

cycl

e, 1

38,7

00 B

tu/g

allo

n fo

r tr

ansi

t m

otor

bus

and

Am

trak

die

sel c

onsu

mpt

ion,

and

3,4

12 B

tu/K

wH

for

Am

trak

ele

c-tr

ic c

onsu

mpt

ion.

SOU

RC

ES

Air

:C

erti

fica

ted

air

carr

iers

:Pa

ssen

ger-

mile

s:A

ir T

rans

port

Ass

ocia

tion

, Int

erne

t si

te h

ttp:

//ww

w.a

ir-t

rans

port

.org

/pub

lic/in

dust

ry a

s of

Aug

. 30,

200

2.Fu

el c

onsu

med

:U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, I

nter

net s

ite

http

://w

ww

.bts

.gov

/oai

/fue

l/fue

lyea

rly.

htm

l as

of A

ug. 3

0, 2

002.

Hig

hway

:P

asse

nger

car

:19

60-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

VM

-201

A.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Oth

er 2

-axl

e 4-

tire

veh

icle

:19

70-9

0: I

bid.

, Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

VM

-201

A.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Mot

orcy

cle:

1970

-85:

Ibi

d., H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

985,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le V

M-2

01A

.19

90-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.

Tra

nsit

mot

or b

us:

Am

eric

an P

ublic

Tra

nspo

rtat

ion

Ass

ocia

tion

, Pub

lic T

rans

port

atio

n Fa

ct B

ook

(Was

hing

ton,

DC

: Feb

ruar

y 20

02),

tab

les

30 a

nd 6

5.

Am

trak

:A

mtr

ak, S

tate

and

Loc

al A

ffai

rs D

epar

tmen

t, p

erso

nal c

omm

unic

atio

n.

Page 301: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

282 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-21

: Ene

rgy

Inte

nsity

of C

ertif

icat

ed A

ir Ca

rrie

rs, A

ll Se

rvic

esa

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Air

craf

t-m

iles

(mill

ion

s)D

omes

tic o

pera

tions

858

1,13

42,

068

1,94

82,

523

3,04

63,

963

4,62

94,

811

R4,

911

R5,

035

R5,

332

R5,

664

5,55

0

Inte

rnat

iona

l ope

ratio

ns18

228

447

537

740

141

576

099

81,

043

1,11

4R

1,19

2R

1,22

5R

1,28

21,

258

Ava

ilab

le s

eat-

mile

s (m

illio

ns)

Dom

estic

ope

ratio

ns52

,220

94,7

8721

3,16

024

1,28

234

6,02

844

5,82

656

3,06

560

3,91

762

6,38

9R

651,

918

R66

2,31

3R

699,

330

R72

7,03

370

4,75

6

Inte

rnat

iona

l ope

ratio

ns13

,347

29,5

3351

,960

61,7

2486

,507

101,

963

170,

310

203,

160

208,

682

R22

8,68

9R

237,

538

R24

2,98

1R

254,

048

245,

776

Pas

sen

ger

-mile

s (m

illio

ns)

Dom

estic

ope

ratio

ns30

,557

51,8

8710

4,14

713

1,72

820

0,28

927

0,58

434

0,23

139

4,70

842

5,59

6R

450,

612

R46

3,26

2R

488,

357

R51

6,12

948

6,45

9

Inte

rnat

iona

l ope

ratio

ns8,

306

16,7

8927

,563

31,0

8254

,363

65,8

1911

7,69

514

5,94

815

3,06

7R

169,

356

R17

2,25

5R

180,

269

R19

2,79

817

8,38

2

Fu

el c

on

sum

ed (

mill

ion

gal

lon

s)D

omes

tic o

pera

tions

1,95

43,

889

7,85

77,

558

8,51

910

,115

12,4

2912

,812

13,1

8713

,660

13,8

7714

,402

14,8

4514

,017

Inte

rnat

iona

l ope

ratio

ns56

61,

280

2,24

31,

949

1,74

72,

488

3,96

34,

511

4,65

84,

964

5,18

65,

250

5,47

55,

237

Sea

ts p

er a

ircr

aft

Dom

estic

ope

ratio

ns60

.983

.610

3.1

123.

913

7.1

146.

414

2.1

130.

513

0.2

R13

2.7

R13

1.5

R13

1.1

R12

8.4

127.

0

Inte

rnat

iona

l ope

ratio

ns73

.310

4.0

109.

416

3.7

215.

724

5.7

224.

120

3.6

200.

1R

205.

3R

199.

2R

198.

3R

198.

219

5.4

Sea

t-m

iles

per

gal

lon

Dom

estic

ope

ratio

ns27

2427

3241

4445

4748

R48

R48

R49

R49

50

Inte

rnat

iona

l ope

ratio

ns24

2323

3250

4143

4545

R46

R46

R46

R46

47

En

erg

y in

ten

sity

(B

tu/p

asse

ng

er-m

ile)b

Dom

estic

ope

ratio

ns8,

633

10,1

1810

,185

7,74

65,

742

5,04

74,

932

4,38

24,

183

R4,

092

R4,

044

R3,

981

R3,

883

3,89

0

Inte

rnat

iona

l ope

ratio

ns9,

199

10,2

9210

,986

8,46

54,

339

5,10

34,

546

4,17

34,

108

R3,

957

R4,

064

R3,

932

R3,

833

3,96

4

Lo

ad f

acto

r (%

)D

omes

tic o

pera

tions

58.5

54.7

48.9

54.6

58.0

60.7

60.4

65.4

67.9

69.1

R69

.969

.8R

71.0

69.0

Inte

rnat

iona

l ope

ratio

ns62

.256

.853

.0R

50.4

62.8

64.6

69.1

71.8

73.3

74.1

R72

.5R

74.2

R75

.972

.6

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; R

= r

evis

ed.

aU

.S. o

wne

d ca

rrie

rs o

nly.

Ope

rati

on o

f fo

reig

n-ow

ned

carr

iers

in o

r ou

t of

the

Uni

ted

Stat

es n

ot in

clud

ed.

bC

alcu

lati

on b

ased

on

unro

unde

d fi

gure

s no

t sh

own

here

.

Page 302: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Intensity and Fuel Efficiency � 283

TABL

E 4-

21: E

nerg

y In

tens

ity o

f Cer

tific

ated

Air

Carr

iers

, All

Serv

ices

a (C

ontin

ued)

NO

TE

SA

ircr

aft-

mile

s in

clud

es a

ll fo

ur a

ir-c

arri

er g

roup

s (m

ajor

s, n

atio

nals

, lar

ge r

egio

nals

, and

med

ium

reg

iona

ls),

sch

edul

ed a

nd c

hart

er, p

asse

nger

, and

all-

carg

o.

Fuel

con

sum

ed in

clud

es m

ajor

s, n

atio

nals

, and

larg

e re

gion

als,

sch

edul

ed a

nd c

hart

er, p

asse

nger

, and

all-

carg

o.Pa

ssen

ger-

mile

s in

clud

es a

ll fo

ur a

ir-c

arri

er g

roup

s, s

ched

uled

and

cha

rter

, pas

seng

er s

ervi

ce o

nly.

Inte

rnat

iona

l ope

rati

ons

incl

ude

oper

atio

ns o

utsi

de t

he U

nite

d St

ates

, inc

ludi

ng th

ose

betw

een

the

Uni

ted

Stat

es a

nd f

orei

gn c

ount

ries

and

the

Uni

ted

Stat

es a

nd

its

terr

itor

ies

or p

osse

ssio

ns.

Hea

t eq

uiva

lent

fac

tor

used

for

Btu

con

vers

ion

is 1

35,0

00 B

tu/g

allo

n.

SOU

RC

ES

Air

craf

t-m

iles,

ava

ilabl

e se

at-m

iles,

pas

seng

er-m

iles,

and

load

fac

tor:

1960

-80:

Air

Tra

nspo

rt A

ssoc

iati

on, I

nter

net

site

htt

p://w

ww

.air

-tra

nspo

rt.o

rg/p

ublic

/indu

stry

, as

of J

uly

31, 2

002.

1985

-200

1: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Off

ice

of A

irlin

e In

form

atio

n, A

ir C

arri

er T

raff

ic S

tati

stic

s (W

ashi

ngto

n D

C: A

nnua

l Dec

embe

r is

sues

).Fu

el c

onsu

med

:19

60-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, O

ffic

e of

Air

line

Info

rmat

ion,

Int

erne

t si

te h

ttp:

//ww

w.b

ts.g

ov/o

ai/f

uel/

fuel

year

ly.h

tml a

s of

Aug

. 12,

200

2.Se

ats

per

airc

raft

, sea

t-m

iles

per

gallo

n, a

nd e

nerg

y in

tens

iven

ess:

Der

ived

by

calc

ulat

ion.

Page 303: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

284 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-22

: Ene

rgy

Inte

nsity

of P

asse

nger

Car

s, O

ther

2-A

xle

4-Ti

re V

ehic

les,

and

Mot

orcy

cles

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Veh

icle

-mile

s (m

illio

ns)

Pas

seng

er c

ar58

7,00

072

3,00

091

7,00

01,

034,

000

1,11

2,00

01,

247,

000

1,40

8,00

01,

438,

000

1,47

0,00

01,

503,

000

R1,

550,

000

1,56

9,00

01,

602,

000

Oth

er 2

-axl

e 4-

tire

vehi

cle

NN

123,

000

201,

000

291,

000

391,

000

575,

000

790,

000

817,

000

851,

000

R86

8,00

090

1,00

092

4,00

0

Mot

orcy

cle

cc

3,00

05,

600

10,2

009,

100

9,60

09,

800

9,90

010

,100

R10

,300

10,6

0010

,500

Pas

sen

ger

-mile

s (m

illio

ns)

a

Pas

seng

er c

ar1,

145,

000

1,39

5,00

01,

751,

000

1,95

4,00

02,

012,

000

2,09

4,00

02,

282,

000

2,28

7,00

02,

337,

000

2,38

9,00

0R

2,46

4,00

02,

495,

000

2,54

7,00

0

Oth

er 2

-axl

e 4-

tire

vehi

cle

NN

226,

000

363,

000

521,

000

688,

000

1,00

0,00

01,

256,

000

1,29

8,00

01,

353,

000

R1,

381,

000

1,43

3,00

01,

469,

000

Mot

orcy

cle

cc

3,00

06,

000

12,0

0012

,000

12,0

0011

,000

11,0

0011

,000

11,0

0012

,000

12,0

00

Fu

el c

on

sum

ed (

mill

ion

gal

lon

s)

Pas

seng

er c

ar41

,171

49,7

2367

,819

74,1

4069

,982

71,5

1869

,568

68,0

7269

,221

69,8

92R

71,6

9573

,283

72,9

16

Oth

er 2

-axl

e 4-

tire

vehi

cle

NN

12,3

1319

,081

23,7

9627

,363

35,6

1145

,605

47,3

5449

,388

R50

,462

52,8

5952

,832

Mot

orcy

cle

cc

6011

320

418

219

119

619

820

2R

206

212

210

En

erg

y in

ten

sity

(B

tu/p

asse

ng

er-m

ile)b

Pas

seng

er c

ar4,

495

4,45

54,

841

4,74

34,

348

4,26

93,

811

3,72

13,

702

3,65

7R

3,63

73,

671

3,57

9

Oth

er 2

-axl

e 4-

tire

vehi

cle

NN

6,81

06,

571

5,70

94,

971

4,45

14,

539

4,56

04,

563

R4,

568

4,61

14,

496

Mot

orcy

cle

aa

2,50

02,

354

2,12

51,

896

1,99

02,

227

2,25

02,

295

R2,

341

2,20

52,

188

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; N

= d

ata

do n

ot e

xist

; R =

rev

ised

.

aPa

ssen

ger-

mile

s ar

e de

rive

d by

mul

tipl

ying

veh

icle

-mile

s by

an

aver

age

occu

panc

y ra

te f

or t

hat

vehi

cle

type

bas

ed o

n da

ta p

rovi

ded

by t

he F

eder

al H

ighw

ay

Adm

inis

trat

ion,

Nat

ionw

ide

Pers

onal

Tra

nspo

rtat

ion

Surv

ey, 1

977,

198

3, 1

995.

Ave

rage

veh

icle

occ

upan

cy r

ates

are

as

follo

ws:

pass

enge

r ca

r (1

960-

97):

1.9

5, 1

.93,

1.9

1, 1

.89,

1.8

1, 1

.68,

1.6

2, 1

.62,

1.6

1, 1

.61,

1.6

0, 1

.59,

1.5

9, 1

.59;

ot

her

2-ax

le 4

-tir

e ve

hicl

e (1

960-

97):

1.8

7, 1

.85,

1.8

3, 1

.81,

1.7

9, 1

.76,

1.7

4, 1

.72,

1.7

0, 1

.68,

1.6

6, 1

.64,

1.6

4, 1

.64;

mot

orcy

cle

(196

0-97

): 1

.1, 1

.1, 1

.1, 1

.1, 1

.2, 1

.3, 1

.3, 1

.27,

1.2

5, 1

.23,

1.2

1, 1

.18,

1.1

8, 1

.18.

b

Ene

rgy

Inte

nsit

y (B

tu/p

asse

nger

-mile

) is

cal

cula

ted

by c

onve

rtin

g th

e fu

el c

onsu

mpt

ion

in g

allo

ns t

o th

e en

ergy

equ

ival

ent

Btu

uni

ts a

nd d

ivid

ing

by t

he p

asse

n-ge

r-m

iles.

The

hea

t eq

uiva

lent

fac

tor

used

for

Btu

con

vers

ion

is 1

25,0

00 B

tus/

gallo

n.c

Incl

uded

in p

asse

nger

car

.

NO

TE

SIn

199

5, t

he U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion

revi

sed

its

vehi

cle

type

cat

egor

ies

for

1993

and

late

r da

ta.

The

se n

ew c

ateg

orie

s in

clud

e pa

ssen

ger

car,

othe

r 2-

axle

4-t

ire

vehi

cle,

sin

gle-

unit

2-a

xle

6-ti

re o

r m

ore

truc

k, a

nd c

ombi

nati

on t

ruck

. O

ther

2-a

xle

4-ti

re v

ehic

le in

clud

es v

ans,

pic

kup

truc

ks, a

nd s

port

uti

lity

vehi

cles

. In

prev

ious

yea

rs, s

ome

min

ivan

s an

d sp

ort

utili

ty v

ehic

les

wer

e in

clud

ed in

the

pa

ssen

ger

car

cate

gory

. Sin

gle-

unit

2-a

xle

6-ti

re o

r m

ore

truc

ks a

re o

n a

sing

le fr

ame

wit

h at

leas

t 2 a

xles

and

6 ti

res.

Pre

-199

3 da

ta h

ave

been

rea

ssig

ned

to t

he

clos

est

avai

labl

e ca

tego

ry.

Dat

a fo

r ve

hicl

e-m

iles

and

pass

enge

r-m

iles

have

bee

n ro

unde

d to

the

nea

rest

bill

ion

mile

s to

acc

omm

odat

e th

e un

cert

aint

ies

asso

ciat

ed w

ith

thes

e es

tim

ates

.

SOU

RC

ES

Veh

icle

-mile

s:P

asse

nger

car

:19

60-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

VM

-201

A.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Page 304: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Intensity and Fuel Efficiency � 285

TABL

E 4-

22: E

nerg

y In

tens

ity o

f Pas

seng

er C

ars,

Oth

er 2

-Axl

e 4-

Tire

Veh

icle

s, a

nd M

otor

cycl

es (C

ontin

ued)

Oth

er 2

-axl

e 4-

tire

veh

icle

:19

60-9

0: I

bid.

, Hig

hway

Sta

tist

ics,

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

VM

-201

A.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Mot

orcy

cle:

1970

-85:

Ibi

d., H

ighw

ay S

tati

stic

s, S

umm

ary

to 1

985

(Was

hing

ton,

DC

: 198

6), t

able

VM

-201

A.

For

1970

-90,

the

unr

evis

ed m

otor

cycl

e ve

hicl

e-m

iles

are

subt

ract

ed f

rom

the

com

bine

d pa

ssen

ger

car

and

mot

orcy

cle

vehi

cle-

mile

s fr

om V

M-2

01A

.19

90-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.

Pass

enge

r-m

iles:

19

60-9

7: V

ehic

le-m

iles

mul

tipl

ied

by v

ehic

le o

ccup

ancy

rat

es.

1998

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Fuel

con

sum

ed:

1960

-90:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Ju

ly 1

997)

, tab

le V

M-2

01A

.Fo

r 19

70-9

0, t

he u

nrev

ised

mot

orcy

cle

fuel

con

sum

ed is

sub

trac

ted

from

the

com

bine

d pa

ssen

ger

car

and

mot

orcy

cle

fuel

con

sum

ed f

rom

VM

-201

A.

1995

-200

0: I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

Page 305: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

286 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-23

: Ave

rage

Fue

l Effi

cien

cy o

f U.S

. Pas

seng

er C

ars

and

Ligh

t Tru

cks

1980

1985

1990

1995

1996

1997

1998

1999

2000

Ave

rag

e U

.S. p

asse

ng

er c

ar f

uel

eff

icie

ncy

(m

pg

) (c

alen

dar

yea

r)

Pas

seng

er c

ara

16.0

17.5

20.3

21.1

21.2

21.5

21.6

21.4

22.0

Oth

er 2

-axl

e 4-

tire

vehi

cle

12.2

14.3

16.1

17.3

17.2

17.2

17.2

R17

.017

.5

New

veh

icle

fu

el e

ffic

ien

cy (

mp

g)b

(m

od

el y

ear)

Ligh

t-du

ty v

ehic

le

Pas

seng

er c

ar24

.327

.628

.028

.628

.528

.728

.828

.328

.5D

omes

tic22

.626

.326

.927

.728

.127

.828

.628

.028

.5Im

port

ed29

.631

.529

.930

.329

.630

.129

.229

.028

.3

Ligh

t tru

ck (

<8,5

00 lb

s G

VW

R)c

18.5

20.7

20.8

20.5

20.8

20.6

21.1

20.9

21.2

CA

FE

sta

nd

ard

s (m

pg

)b (

mo

del

yea

r)P

asse

nger

car

20.0

27.5

27.5

27.5

27.5

27.5

27.5

27.5

27.5

Ligh

t tru

ckd 1

6.0/

14.0

19.5

20.0

20.6

20.7

20.7

20.7

20.7

20.7

KE

Y: C

AF

E =

Cor

pora

te A

vera

ge F

uel E

cono

my;

GV

WR

= g

ross

veh

icle

wei

ght r

atin

g; m

pg =

mile

s pe

r ga

llon;

N =

dat

a do

not

exi

st; R

= r

evis

ed.

aFr

om 1

980

to 1

994,

pas

seng

er c

ar f

uel e

ffic

ienc

y in

clud

es m

otor

cycl

es.

bA

ssum

es 5

5% c

ity

and

45%

hig

hway

-mile

s. T

he s

ourc

e ca

lcul

ated

ave

rage

mile

s pe

r ga

llon

for

light

-dut

y ve

hicl

es b

y ta

king

the

rec

ipro

cal o

f th

e sa

les-

wei

ghte

d av

erag

e of

gal

lons

per

mile

. Thi

s is

cal

led

the

harm

onic

ave

rage

. c

Beg

inni

ng w

ith

FY 1

999,

the

tot

al li

ght

truc

k fl

eet

ceas

ed t

o be

cat

egor

ized

by

eith

er d

omes

tic

or im

port

fle

ets.

d2

Whe

el D

rive

/4 W

heel

Dri

ve. N

o co

mbi

ned

figu

re a

vaila

ble

for

this

yea

r.

NO

TE

The

fue

l eff

icie

ncy

figu

res

for

light

dut

y ve

hicl

es r

epre

sent

the

sal

es-w

eigh

ted

harm

onic

ave

rage

of

the

com

bine

d pa

ssen

ger

car

and

light

tru

ck f

uel e

cono

mie

s.

SOU

RC

ES

Ave

rage

U.S

. pas

seng

er c

ar f

uel e

ffic

ienc

y:19

80-9

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

VM

-201

A (

Rev

ised

dat

a ob

tain

ed f

rom

Int

erne

t si

te h

ttp:

//ww

w.f

hwa.

dot.

gov/

ohim

/ohi

mst

at.h

tm a

s of

Aug

. 2, 2

001)

.19

95-2

000:

Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.

New

veh

icle

fue

l eff

icie

ncy

(bas

ed o

n m

odel

yea

r pr

oduc

tion

):19

80-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, A

utom

otiv

e Fu

el E

cono

my

Pro

gram

, Ann

ual U

pdat

e C

alen

-da

r Y

ear

2000

, tab

le I

I-6,

Int

erne

t si

te w

ww

.nht

sa.d

ot.g

ov/c

ars/

prob

lem

s/st

udie

s/fu

elec

on/in

dex.

htm

l as

of A

ug. 2

, 200

2.

CA

FE s

tand

ards

:19

80-2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, A

utom

otiv

e Fu

el E

cono

my

Pro

gram

, Ann

ual U

pdat

e C

alen

-da

r Y

ear

2000

, tab

le I

-1, I

nter

net

site

ww

w.n

htsa

.dot

.gov

/car

s/pr

oble

ms/

stud

ies/

fuel

econ

/inde

x.ht

ml a

s of

Aug

. 2, 2

002.

Page 306: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Intensity and Fuel Efficiency � 287

TABL

E 4-

24: E

nerg

y In

tens

ity o

f Tra

nsit

Mot

or B

uses

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

P20

00V

ehic

le-m

iles

(mill

ions

)1,

576

1,52

81,

409

1,52

61,

677

1,86

32,

130

2,18

4R

2,22

1R

2,24

5R

2,17

52,

276

2,31

5

Pas

seng

er-m

iles

(mill

ions

)N

NN

N21

,800

21,2

00R

20,9

81R

18,8

18R

19,0

96R

19,6

04R

20,3

6021

,205

21,2

41

Fue

l con

sum

ed (

mill

ion

gallo

ns d

iese

l)20

824

827

136

543

151

856

356

457

8R

598

607

618

635

Ene

rgy

inte

nsity

(B

tu/p

asse

nger

-mile

)N

NN

N2,

742

3,38

9R

3,72

3R

4,15

5R

4,19

6R

4,22

8R

4,13

3R

4,04

44,

147

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

.

NO

TE

SH

eat

equi

vale

nt f

acto

r us

ed f

or B

tu c

onve

rsio

n is

138

,700

Btu

/gal

lon.

In J

anua

ry 2

000,

the

Am

eric

an P

ublic

Tra

nsit

Ass

ocia

tion

cha

nged

its

nam

e to

the

Am

eric

an P

ublic

Tra

nspo

rtat

ion

Ass

ocia

tion

. The

Tra

nsit

Fac

t B

ook

is n

ow

refe

rred

to

as t

he P

ublic

Tra

nspo

rtat

ion

Fact

Boo

k.

SOU

RC

EA

mer

ican

Pub

lic T

rans

port

atio

n A

ssoc

iati

on, P

ublic

Tra

nspo

rtat

ion

Fact

Boo

k (W

ashi

ngto

n, D

C: F

ebru

ary

2001

), t

able

s 30

, 42

and

65, a

nd s

imila

r ta

bles

in

earl

ier

edit

ions

of

the

Tra

nsit

Fac

t B

ook.

Page 307: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

288 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-25

: Ene

rgy

Inte

nsity

of C

lass

I Ra

ilroa

da F

reig

ht S

ervi

ce

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

P

Rev

enue

frei

ght t

on-m

iles

(mill

ions

)57

2,30

969

7,87

876

4,80

975

4,25

291

8,95

887

6,98

41,

033,

969

1,30

5,68

81,

355,

975

1,34

8,92

61,

376,

802

1,43

3,46

11,

465,

960

1,47

3,95

7

Car

-mile

s (m

illio

ns)

28,1

7029

,336

29,8

9027

,656

29,2

7724

,920

26,1

5930

,383

31,7

1531

,660

32,6

5733

,851

34,5

9034

,243

Tons

per

car

load

4449

5561

6768

6765

6763

6463

63U

Fue

l con

sum

ed (

mill

ion

gallo

ns)

3,46

33,

592

3,54

53,

657

3,90

43,

110

3,11

53,

480

3,57

93,

575

3,58

33,

715

3,70

03,

633

Ene

rgy

inte

nsity

(B

tu/r

even

uefr

eigh

t ton

-mile

)83

971

464

367

258

949

241

837

036

636

836

135

935

034

2

Ene

rgy

inte

nsity

(B

tu/c

ar-m

ile)

17,0

5116

,983

16,4

5018

,341

18,4

9517

,310

16,5

1615

,886

15,6

5215

,662

15,2

1815

,222

14,8

3614

,715

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; P

= p

relim

inar

y; U

= d

ata

are

not a

vaila

ble.

aC

lass

I r

ailr

oads

are

tho

se t

hat

have

ope

rati

ng r

even

ues

of $

267

mill

ion

or m

ore.

NO

TE

The

hea

t eq

uiva

lent

fac

tor

used

for

Btu

con

vers

ion

is 1

38,7

00 B

tu/g

allo

n.

SOU

RC

EA

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: N

ovem

ber

2001

), p

p. 3

4, 3

7, a

nd 4

0, a

nd p

erso

nal c

omm

unic

atio

n, A

ug. 1

2, 2

002.

Page 308: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Intensity and Fuel Efficiency � 289

TABL

E 4-

26: E

nerg

y In

tens

ity o

f Am

trak

Serv

ices

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

2001

Rev

enu

e p

asse

ng

er-m

iles

(mill

ion

s)3,

931

4,50

34,

785

6,05

75,

545

5,05

05,

166

5,30

45,

330

5,49

8U

Lo

com

oti

ve f

uel

co

nsu

med

Tota

l fue

l con

sum

ed (

billi

on B

tu)a

9,36

79,

673

9,99

512

,512

10,1

9110

,875

11,3

6511

,341

11,2

2911

,735

11,6

74

Ele

ctric

(m

illio

ns o

f kW

h)a

180

254

295

330

304

293

282

275

283

350

377

Die

sel (

mill

ion

gallo

ns)

6364

6582

6671

7575

7476

75

En

erg

y in

ten

sity

(B

tu/r

even

ue

pas

sen

ger

-mile

)a2,

383

2,14

82,

089

2,06

61,

838

2,15

32,

200

2,13

82,

107

2,13

4U

KE

Y: B

tu =

Brit

ish

ther

mal

uni

t; kW

h =

kilo

wat

t hou

r; U

= d

ata

are

not a

vaila

ble.

aD

oes

not

incl

ude

elec

tric

pow

er g

ener

atio

n an

d di

stri

buti

on lo

sses

, whi

ch, i

f in

clud

ed, w

ould

tri

ple

the

elec

tric

con

vers

ion

fact

or g

iven

bel

ow a

nd in

crea

se t

he

num

bers

in t

his

row

by

abou

t 20

per

cent

.

NO

TE

The

hea

t eq

uiva

lent

fac

tors

use

d in

Btu

con

vers

ion

are:

die

sel =

138

,700

Btu

/gal

lon;

ele

ctri

c =

3,41

2 B

tu/k

Wh.

SOU

RC

ES

Rev

enue

pas

seng

er-m

iles:

Am

trak

, Am

trak

Ann

ual R

epor

t, S

tati

stic

al A

ppen

dix

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Loc

omot

ive

fuel

con

sum

ed:

1975

-200

1: I

bid.

, Sta

te a

nd L

ocal

Aff

airs

Dep

artm

ent,

per

sona

l com

mun

icat

ion.

Page 309: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

290 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-27

: Ann

ual W

aste

d Fu

el D

ue to

Con

gest

iona

Per

cen

t ch

ang

e

Gal

lon

s w

aste

d (

mill

ion

s)S

ho

rt-t

erm

1994

-200

0L

on

g-t

erm

1982

-200

0P

op

ula

tio

nG

rou

pU

rban

are

a19

8219

8519

9019

9519

9619

9719

9819

9920

00P

erce

nt

Ran

kP

erce

nt

Ran

k

Med

ium

Alb

any-

Sch

enec

tady

-Tro

y, N

YR

0R

0R

24

R4

R4

R4

R5

567

33N

M57

Med

ium

Alb

uque

rque

, NM

2R

4R

6R

14R

17R

20R

21R

2319

5835

850

21

Sm

all

Anc

hora

ge, A

K0

00

00

00

00

NM

68N

M57

Larg

eA

tlant

a, G

AR

16R

28R

42R

111

R12

5R

138

R15

6R

144

166

7129

938

19

Med

ium

Aus

tin, T

XR

3R

7R

8R

17R

22R

29R

25R

3035

133

61,

067

13S

mal

lB

aker

sfie

ld, C

A0

0R

0R

1R

2R

2R

2R

23

NM

68N

M57

Larg

eB

altim

ore,

MD

R11

R18

R49

R61

R65

R69

R64

R67

7532

5158

228

Sm

all

Bea

umon

t, T

X0

R0

R0

R0

R0

R0

R1

R1

1N

M68

NM

57M

ediu

mB

irm

ingh

am, A

L2

35

1012

1315

1517

7031

750

24V

ery

larg

eB

osto

n, M

AR

40R

54R

90R

111

R11

5R

122

R12

3R

130

136

2358

240

50S

mal

lB

ould

er, C

O0

00

00

00

00

NM

68N

M57

Sm

all

Bro

wns

ville

, TX

00

00

00

00

0N

M68

NM

57La

rge

Buf

falo

-Nia

gara

Fal

ls, N

YR

2R

2R

5R

5R

5R

5R

5R

79

8024

350

39S

mal

lC

harle

ston

, SC

24

66

66

78

950

4235

039

Med

ium

Cha

rlotte

, NC

R2

R5

R7

R12

R13

R17

R18

R20

2411

88

1,10

012

Ver

y la

rge

Chi

cago

, IL-

Nor

thw

este

rn, I

NR

76R

130

R22

0R

261

R34

1R

321

R35

1R

347

345

5338

354

38

Larg

eC

inci

nnat

i, O

H-K

YR

3R

6R

15R

26R

31R

38R

39R

4044

6334

1,36

78

Larg

eC

leve

land

, OH

R2

R2

R9

R27

R33

R38

R30

R31

2953

401,

350

9S

mal

lC

olor

ado

Spr

ings

, CO

0R

0R

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NM

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las-

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ver,

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mal

lE

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prin

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00

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rge

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pano

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all

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tford

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own,

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010

300

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ediu

mH

onol

ulu,

HI

R5

R6

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R17

R15

R17

R17

13-2

467

160

54

Page 310: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Intensity and Fuel Efficiency � 291

Ver

y la

rge

Hou

ston

, TX

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ium

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ity, U

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an A

nton

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XR

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Con

tinue

d ne

xt p

age

TABL

E 4-

27: A

nnua

l Was

ted

Fuel

Due

to C

onge

stio

na (C

ontin

ued)

Per

cen

t ch

ang

e

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lon

s w

aste

d (

mill

ion

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on

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1982

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ula

tio

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are

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8219

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9619

9719

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nt

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kP

erce

nt

Ran

k

Page 311: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

292 � Chapter 4: Transportation, Energy, and the Environment

Larg

eS

an B

erna

rdin

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side

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renc

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elow

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w

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or a

ll ot

her

year

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as c

alcu

late

d us

ing

raw

dat

a ob

tain

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tp://

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as d

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cit

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in t

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ar u

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s th

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ence

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wee

n th

e fu

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med

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stim

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stin

g co

ndit

ions

and

the

fue

l con

sum

ed if

all

traf

fic

was

mov

ing

at f

ree-

flow

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di-

tion

s. C

alcu

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mad

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ak p

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for

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l sys

tem

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he f

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ulas

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ee t

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ourc

e do

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ent.

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cit

ies

show

n re

pres

ent

the

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rges

t m

etro

polit

an a

reas

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l as

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r ar

ea a

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wer

e ca

lcul

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ore

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SOU

RC

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as T

rans

port

atio

n In

stit

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200

2 A

nnua

l Urb

an M

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ty R

epor

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tati

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X: 2

002)

.

TABL

E 4-

27: A

nnua

l Was

ted

Fuel

Due

to C

onge

stio

na (C

ontin

ued)

Per

cen

t ch

ang

e

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lon

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aste

d (

mill

ion

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ula

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are

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9019

9519

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9819

9920

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nt

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kP

erce

nt

Ran

k

Page 312: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Intensity and Fuel Efficiency � 293

TABL

E 4-

28: W

aste

d Fu

el P

er P

erso

n

P

erce

nt

chan

ge

Gal

lon

s w

aste

dS

ho

rt-t

erm

1994

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0L

on

g-t

erm

1982

-200

0P

op

ula

tio

ng

rou

pU

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are

a19

8219

8519

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9619

9719

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nt

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kP

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k

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any-

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enec

tady

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YR

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ium

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uque

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3932

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540

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mal

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NM

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GA

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13R

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9R

11R

13R

1518

125

420

049

Med

ium

Har

tford

-Mid

dlet

own,

CT

R5

R12

R11

R10

R11

R13

R14

R17

1990

828

037

Med

ium

Hon

olul

u, H

IR

9R

10R

24R

24R

24R

21R

24R

2419

-21

6711

154

Con

tinue

d ne

xt p

age

Page 313: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

294 � Chapter 4: Transportation, Energy, and the Environment

Ver

y la

rge

Hou

ston

, TX

R33

R55

R40

R45

R49

R60

R57

R65

5931

4779

56

Larg

eIn

dian

apol

is, I

NR

2R

3R

6R

32R

38R

40R

33R

3134

1755

1,60

01

Med

ium

Jack

sonv

ille,

FL

R7

R8

R15

R30

R29

R30

R25

R25

240

6324

341

Larg

eK

ansa

s C

ity, M

O-K

SR

1R

3R

6R

11R

13R

14R

15R

1916

2351

1,50

04

Sm

all

Lare

do, T

X0

00

00

0R

0R

00

NM

68N

M57

Larg

eLa

s V

egas

, NV

R4

R8

R19

R20

R23

R25

R26

R27

2840

4260

015

Ver

y la

rge

Los

Ang

eles

, CA

R36

R45

R94

R84

R92

R89

R95

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9418

5416

151

Med

ium

Loui

svill

e, K

Y-IN

R6

R8

R9

R21

R29

R31

R33

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3748

3651

720

Med

ium

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phis

, TN

-AR

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3R

3R

8R

18R

18R

22R

22R

2326

7314

767

12La

rge

Mia

mi-H

iale

ah, F

LR

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17R

34R

43R

43R

46R

44R

4551

1357

264

40

Larg

eM

ilwau

kee,

WI

R4

R6

R10

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R20

R20

R22

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2567

1652

519

Larg

eM

inne

apol

is-S

t. P

aul,

MN

R3

R6

R14

R28

R29

R39

R41

R45

4469

151,

367

8M

ediu

mN

ashv

ille,

TN

R10

R11

R16

R24

R26

R29

R27

R32

3462

2424

042

Larg

eN

ew O

rlean

s, L

AR

7R

9R

11R

18R

18R

18R

18R

1817

-15

6614

353

Ver

y la

rge

New

Yor

k, N

Y-N

orth

east

ern,

NJ

R10

R12

R30

R30

R31

R34

R36

R38

3944

3829

035

Larg

eN

orfo

lk-N

ewpo

rt N

ews-

Virg

inia

B

each

, VA

R8

R12

R15

R19

R22

R22

R24

R25

2011

5915

052

Larg

eO

klah

oma

City

, OK

R2

R3

R4

R8

R8

R10

R12

R13

1067

1640

027

Med

ium

Om

aha,

NE

-IA

R2

R4

R9

R11

R14

R14

R17

R18

1864

2280

011

Larg

eO

rland

o, F

LR

10R

16R

19R

31R

34R

36R

42R

4148

5529

380

28S

mal

lP

ensa

cola

, FL

00

814

1414

1413

167

62N

M57

Ver

y la

rge

Phi

lade

lphi

a, P

A-N

JR

8R

10R

14R

20R

21R

22R

25R

2525

3945

213

47

Larg

eP

hoen

ix, A

ZR

12R

12R

23R

26R

32R

35R

32R

4144

5727

267

39La

rge

Pitt

sbur

gh, P

AR

6R

7R

10R

12R

12R

12R

12R

1311

1060

8355

Larg

eP

ortla

nd-V

anco

uver

, OR

-WA

R4

R5

R14

R27

R32

R33

R33

R36

3852

3185

010

Med

ium

Pro

vide

nce-

Paw

tuck

et, R

I-M

AR

2R

7R

14R

18R

22R

19R

24R

2932

889

1,50

04

Med

ium

Ric

hmon

d, V

A0

49

1618

1819

1917

4241

NM

57M

ediu

mR

oche

ster

, NY

R0

R0

R2

R5

R6

R6

R5

R6

610

06

NM

57La

rge

Sac

ram

ento

, CA

R7

R11

R25

R24

R29

R26

R27

R28

3322

5237

129

Sm

all

Sal

em, O

R0

0R

0R

0R

6R

11R

11R

1110

6716

NM

57M

ediu

mS

alt L

ake

City

, UT

R1

R3

R8

R16

R15

R14

R13

R15

1713

571,

600

1La

rge

San

Ant

onio

, TX

R6

R12

R10

R16

R16

R18

R23

R31

3424

02

467

25

TABL

E 4-

28: W

aste

d Fu

el P

er P

erso

n (C

ontin

ued)

P

erce

nt

chan

ge

Gal

lon

s w

aste

dS

ho

rt-t

erm

1994

-200

0L

on

g-t

erm

1982

-200

0P

op

ula

tio

ng

rou

pU

rban

are

a19

8219

8519

9019

9519

9619

9719

9819

9920

00P

erce

nt

Ran

kP

erce

nt

Ran

k

Page 314: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Transportation Energy Intensity and Fuel Efficiency � 295

Larg

eS

an B

erna

rdin

o-R

iver

side

, CA

R7

R13

R32

R34

R37

R39

R44

R43

4850

3258

616

Larg

eS

an D

iego

, CA

R7

R12

R30

R25

R27

R31

R29

R36

4164

2148

623

Ver

y la

rge

San

Fra

ncis

co-O

akla

nd, C

AR

20R

39R

60R

51R

52R

47R

53R

5567

6323

235

43La

rge

San

Jos

e, C

AR

17R

34R

66R

43R

42R

39R

44R

5053

3346

212

48

Larg

eS

eattl

e-E

vere

tt, W

AR

15R

25R

42R

50R

56R

59R

58R

6156

1456

273

38S

mal

lS

poka

ne, W

AR

0R

0R

0R

6R

6R

6R

9R

99

5032

NM

57La

rge

St.

Loui

s, M

O-I

LR

9R

13R

15R

28R

28R

31R

32R

3335

4042

289

36

Med

ium

Taco

ma,

WA

R5

R4

R15

R21

R20

R20

R20

R27

2310

6136

030

Larg

eTa

mpa

-St P

eter

sbur

g-C

lear

wat

er, F

LR

12R

14R

22R

33R

33R

32R

31R

3332

-965

167

50M

ediu

mTu

cson

, AZ

R0

R4

R8

R11

R14

R17

R18

R18

1880

11N

M57

Med

ium

Tuls

a, O

K0

46

77

89

1014

250

1N

M57

Larg

eW

Pal

m B

ch-B

oca

Rat

on-

Del

ray

Bch

, FL

24

1323

2624

3032

3343

391,

550

3

Ver

y la

rge

Was

hing

ton,

DC

-MD

-VA

R17

R23

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5627

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945

75-A

rea

Ave

rage

R6

R9

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a 43

114

612

Ver

y La

rge

Are

a A

vera

geR

17R

26R

40R

43R

46R

47R

50R

53a5

536

225

Larg

e A

rea

Ave

rage

R7

R10

R19

R26

R28

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a37

5245

2M

ediu

m A

rea

Ave

rage

R4

R6

R11

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R23

a24

5855

5S

mal

l Are

a A

vera

geR

0R

1R

2R

4R

5R

5R

7R

8a1

014

62,

233

KE

Y: N

M =

not

mea

ning

ful;

R =

rev

ised

. Ver

y la

rge

urba

n ar

eas

- ov

er 3

mill

ion

popu

latio

n. L

arge

urb

an a

reas

- o

ver

1 m

illio

n an

d le

ss th

an 3

mill

ion

popu

latio

n.

Med

ium

urb

an a

reas

- o

ver

500,

000

and

less

than

1 m

illio

n po

pula

tion.

Sm

all u

rban

are

as -

less

than

500

,000

pop

ulat

ion.

aT

he a

vera

ge o

f th

e w

aste

d fu

el p

er p

erso

n fo

r ea

ch u

rban

are

a ca

tego

ry f

or 2

000

was

obt

aine

d fr

om t

able

A-6

of

TT

I’s T

he 2

002

Ann

ual U

rban

Mob

ility

R

epor

t re

fere

nced

bel

ow. F

or a

ll ot

her

year

s it

was

cal

cula

ted

usin

g ra

w d

ata

obta

ined

fro

m in

tern

et s

ite

http

://m

obili

ty.t

amu.

edu

as o

f A

ug. 5

, 200

2, w

here

th

e to

tal a

nnua

l was

ted

fuel

per

per

son

for

each

yea

r an

d ur

ban

area

was

div

ided

by

the

num

ber

of c

itie

s in

tha

t pa

rtic

ular

urb

an a

rea.

NO

TE

S“W

aste

d” f

uel i

s th

e di

ffer

ence

bet

wee

n th

e fu

el c

onsu

med

und

er e

stim

ated

exi

stin

g co

ndit

ions

and

the

fue

l con

sum

ed if

all

traf

fic

was

mov

ing

at f

ree-

flow

co

ndit

ions

.C

alcu

lati

ons

are

mad

e fo

r pe

ak p

erio

d sp

eeds

and

for

fre

e-fl

ow s

peed

s on

bot

h th

e fr

eew

ay a

nd p

rinc

ipal

art

eria

l sys

tem

.Fo

r a

mor

e de

taile

d de

scri

ptio

n of

the

for

mul

as u

sed,

see

the

sou

rce

docu

men

t.T

he c

itie

s sh

own

repr

esen

t th

e 50

larg

est

met

ropo

litan

are

as, a

s w

ell a

s ot

hers

cho

sen

by t

he s

tate

s sp

onso

ring

the

stu

dy.

Perc

ent

chan

ges

for

area

ave

rage

s w

ere

calc

ulat

ed b

efor

e ro

undi

ng.

SOU

RC

E19

82 -

200

0: T

exas

Tra

nspo

rtat

ion

Inst

itut

e, T

he 2

001

Ann

ual U

rban

Mob

ility

Rep

ort

(Col

lege

Sta

tion

, TX

: 200

1) f

rom

Int

erne

t si

te h

ttp:

//mob

ility

.tam

u.ed

u as

of

Aug

. 5, 2

002.

TABL

E 4-

28: W

aste

d Fu

el P

er P

erso

n (C

ontin

ued)

P

erce

nt

chan

ge

Gal

lon

s w

aste

dS

ho

rt-t

erm

1994

-200

0L

on

g-t

erm

1982

-200

0P

op

ula

tio

ng

rou

pU

rban

are

a19

8219

8519

9019

9519

9619

9719

9819

9920

00P

erce

nt

Ran

kP

erce

nt

Ran

k

Page 315: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 316: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter four

Section DAir Pollution

Page 317: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 318: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 299

TABL

E 4-

29: F

eder

al E

xhau

st E

mis

sion

Cer

tific

atio

n St

anda

rds

for N

ewly

Man

ufac

ture

d Ga

solin

e- a

nd D

iese

l-Pow

ered

Li

ght-D

uty

Vehi

cles

a,b

(Gra

ms

per m

ile)

En

gin

e ty

pe

and

po

lluta

nt

Pri

or

to

con

tro

le19

68-

1969

1970

-19

7119

7219

73-

1974

1975

-19

7619

77-

1979

1980

1981

1982

-19

8619

87-

1993

Tie

r 1i

1994

-200

3bIn

teri

m T

ier

2i20

04-2

006

Tie

r 2i

2007

+G

aso

line

HC

(to

tal)

11g

2.2

3.4

1.5

0.41

0.41

(h)

h

NM

HC

fh

0.25

(0.3

1)h

NM

OG

fh

0.12

5(0

.156

)0.

100

(0.1

25)

CO

80g

2339

157.

03.

43.

4(4

.2)

Col

d-te

mp.

CO

cf

h10

(h)

NO

x4

h3.

03.

12.

01.

00.

4(0

.6)

0.14

(0.2

0)

Par

ticul

ates

fh

0.08

(0.1

0)0.

08(0

.08)

0.02

(0.0

2)Fo

rmal

dehy

def

h0.

015

(0.0

18)

Die

sel

HC

(to

tal)

11h

1.5

0.41

0.41

(h)

h

NM

HC

fh

0.25

(0.3

1)h

NM

OG

fh

h(0

.156

)0.

100

(0.1

25)

CO

80h

157.

03.

43.

4(4

.2)

h(4

.2)

3.4

(4.2

)

NO

x4

h3.

12.

01.

01.

0(1

.25)

h(0

.6)

0.14

(0.2

0)

Par

ticul

ates

fh

0.60

0.20

0.08

(0.1

0)h

(0.1

0)0.

02(0

.02)

Form

alde

hyde

fh

h(0

.018

)0.

015

(0.0

18)

Test

pro

ced

ure

7-m

ode

CV

S-7

2C

VS

-75

Use

ful l

ife (i

nter

med

iate

)b,d

h5

year

s/50

,000

mile

s

(fu

ll)5

year

s/50

,000

mile

s10

yea

rs/1

00,0

00 m

iles

10 y

ears

/12

0,00

0 m

iles

KE

Y: C

O =

car

bon

mon

oxid

e; C

VS

= c

onst

ant v

olum

e sa

mpl

er; H

C =

hyd

roca

rbon

s; N

MH

C =

non

met

hane

hyd

roca

rbon

s; N

MO

G =

non

met

hane

org

anic

gas

es;

NO

x =

nitr

ogen

oxi

des.

aT

he t

est

proc

edur

e fo

r m

easu

ring

exh

aust

em

issi

ons

has

chan

ged

seve

ral t

imes

ove

r th

e co

urse

of

vehi

cle

emis

sion

s re

gula

tion

s. T

he 7

-mod

e pr

oced

ure

was

us

ed t

hrou

gh m

odel

yea

r 19

71 a

nd w

as r

epla

ced

by t

he C

VS-

72 p

roce

dure

beg

inni

ng in

mod

el y

ear

1972

. The

CV

S-75

pro

cedu

re b

ecam

e th

e te

st p

roce

dure

as

of

mod

el y

ear

1975

. Whi

le it

may

app

ear

that

the

tot

al H

C a

nd C

O s

tand

ards

wer

e re

laxe

d in

197

2-74

, the

se s

tand

ards

wer

e ac

tual

ly m

ore

stri

ngen

t du

e to

the

mor

e st

ring

ent

natu

re o

fthe

CV

S-72

tes

t pr

oced

ure.

Add

itio

nal s

tand

ards

for

CO

and

com

posi

te s

tand

ards

for

NM

HC

and

NO

x te

sted

und

er t

he n

ew

Supp

lem

enta

l Fed

eral

Tes

t Pr

oced

ure

will

be

phas

ed-i

n be

ginn

ing

wit

h m

odel

yea

r 20

00; t

hese

sta

ndar

ds a

re n

ot s

how

n in

thi

s ta

ble.

bA

ll em

issi

ons

stan

dard

s m

ust

be m

et f

or a

use

ful l

ife

of 5

yea

rs/5

0,00

0 m

iles.

Beg

inni

ng w

ith

mod

el y

ear

1994

, a s

econ

d se

t of

em

issi

ons

stan

dard

s m

ust

also

be

met

for

a f

ull u

sefu

l lif

e of

10

year

s/10

0,00

0 m

iles;

the

se s

tand

ards

are

sho

wn

in p

aren

thes

es. T

ier

1 ex

haus

t st

anda

rds

wer

e ph

ased

-in

duri

ng 1

994-

96 a

t a

rate

of

40%

, 80%

, and

100

%, r

espe

ctiv

ely.

cT

he c

old

CO

em

issi

ons

stan

dard

is m

easu

red

at 2

0 °F

(ra

ther

tha

n 75

°F)

and

is a

pplic

able

for

a 5

-yea

r/50

,000

-mile

use

ful l

ife.

Con

tinue

d ne

xt p

age

Page 319: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

300 � Chapter 4: Transportation, Energy, and the Environment

dM

anuf

actu

rers

can

opt

to

cert

ify

vehi

cles

for

a f

ull u

sefu

l lif

e of

15

year

s/15

0,00

0 m

iles

and

have

eit

her

1) in

term

edia

te u

sefu

l lif

e st

anda

rds

wai

ved

or 2

) re

ceiv

e ad

diti

onal

NO

x cr

edit

s.

eT

he “

Prio

r to

con

trol

” co

lum

n re

port

s em

issi

ons

esti

mat

es o

f a

typi

cal n

ewly

man

ufac

ture

d ca

r in

the

yea

rs b

efor

e ex

haus

t em

issi

ons

cert

ific

atio

n st

anda

rds

wer

e im

plem

ente

d.f

No

esti

mat

e av

aila

ble.

gIn

196

8-69

, exh

aust

em

issi

ons

stan

dard

s w

ere

issu

ed in

par

ts p

er m

illio

n ra

ther

tha

n gr

ams

per

mile

and

are

, the

refo

re, i

ncom

pati

ble

wit

h th

is t

able

.h

No

stan

dard

has

bee

n se

t.i

The

ter

m “

tier

” re

fers

to

a le

vel o

f st

anda

rds

and

is a

ssoc

iate

d w

ith

spec

ific

yea

rs. I

nter

im T

ier

2 re

fers

to

an in

term

edia

te le

vel o

f st

anda

rds

that

mov

e m

anu-

fact

urer

s to

war

d co

mpl

ianc

e w

ith

Tie

r 2

stan

dard

s. I

nter

im T

ier

2 an

d T

ier

2 st

anda

rds

are

esta

blis

hed

as “

bins

.” E

ach

bin

is a

set

of

stan

dard

s fo

r N

Ox,

CO

, N

MO

G, f

orm

alde

hyde

, and

par

ticu

late

mat

ter;

HC

and

NM

HC

sta

ndar

ds a

re d

ropp

ed f

or T

ier

2 an

d In

teri

m T

ier

2. M

anuf

actu

rers

may

cer

tify

any

giv

en

vehi

cle

fam

ily t

o an

y of

the

bin

s av

aila

ble

for

that

veh

icle

cla

ss a

s lo

ng a

s th

e re

sult

ing

sale

s-w

eigh

t co

rpor

ate

aver

age

NO

x st

anda

rd is

met

for

the

ful

l use

ful

life

of t

he v

ehic

le. T

he T

ier

2 co

rpor

ate

aver

age

NO

x st

anda

rd is

0.0

7 gr

ams/

mile

. Int

erim

cor

pora

te-b

ased

ave

rage

NO

x st

anda

rds

are

base

d on

veh

icle

typ

e.

The

inte

rim

sal

es-w

eigh

ted

aver

age

for

light

-dut

y ve

hicl

es (

LD

Vs)

is 9

.3 g

ram

s/m

ile. F

or L

DV

s, T

ier

2 st

anda

rds

will

be

phas

ed in

at

a ra

te o

f 25

% in

200

4,

50%

in 2

005,

75%

in 2

006,

and

100

% in

200

7. D

urin

g th

is p

erio

d, a

ll L

DV

s no

t m

eeti

ng t

he T

ier

2 st

anda

rds

mus

t m

eet

Inte

rim

Tie

r 2

stan

dard

s.

SOU

RC

ES

40 C

FR 8

6, S

ubpa

rt A

(Ju

ly 1

, 200

0).

Fede

ral R

egis

ter,

Vol

. 65,

No.

28,

pp.

685

1-68

58.

TABL

E 4-

29: F

eder

al E

xhau

st E

mis

sion

Cer

tific

atio

n St

anda

rds

for N

ewly

Man

ufac

ture

d Ga

solin

e- a

nd D

iese

l-Pow

ered

Li

ght-D

uty

Vehi

cles

a,b

(Gra

ms

per m

ile) (

Cont

inue

d)

Page 320: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 301

TABL

E 4-

30a:

Fed

eral

Exh

aust

Em

issi

on C

ertif

icat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t-Dut

y Tr

ucks

(Cat

egor

y LD

T1)a

,b,c

(Gra

ms

per m

ile)

En

gin

e ty

pe

and

po

lluta

nt

Pri

or to

co

ntro

lg19

68-

1969

1970

-19

7119

7219

73-

1974

1975

1976

-19

7819

79-

1981

1982

-19

8319

8419

85-

1986

1987

1988

-19

93Ti

er 1

k 19

9419

95-2

003

Inte

rim

Tie

r 2k

20

04-2

006

Tie

r 2k

2007

+

Gas

olin

e

HC

(to

tal)

11i

2.2

3.4

2.0

1.7

0.80

j

R(0

.80)

j

NM

HC

hj

0.25

(0.3

1)j

NM

OG

hj

0.12

5(0

.156

)0.

100

(0.1

25)

CO

80i

2339

2018

103.

4(4

.2)

Col

d-te

mp.

CO

de

j10

j

NO

x4

j3.

03.

12.

31.

20.

4(0

.6)

0.14

(0.2

0)

Par

ticul

ates

hj

0.08

(0.1

0)0.

08(0

.08)

0.02

(0.0

2)

Form

alde

hyde

hj

0.01

5(0

.018

)

Die

sel

HC

(to

tal)

11j

2.0

1.7

0.80

j

(0.8

0)j

NM

HC

hj

0.25

(0.3

1)j

NM

OG

hj

j(0

.156

)0.

100

(0.1

25)

CO

80j

2018

103.

4(4

.2)

j(4

.2)

3.4

(4.2

)

NO

x4

j3.

12.

31.

21.

0(1

.25)

j(0

.6)

0.14

(0.2

0)

Par

ticul

ates

hj

0.60

0.

260.

08(0

.10)

j(0

.10)

0.02

(0.0

2)

Form

alde

hyde

hj

j(0

.018

)0.

015

(0.0

18)

LD

T1

wei

gh

t cr

iter

aeG

VW

R u

p th

roug

h 6,

000

poun

dsG

VW

R u

p th

roug

h 8,

500

poun

dsG

VW

R u

p th

roug

h 6,

000

lbs;

LV

W u

p th

roug

h 3,

750

poun

ds

Test

pro

ced

ure

b7-

mod

eC

VS

-72

CV

S-7

5

Use

ful l

ife (i

nter

med

iate

)c,f

j5

year

s/50

,000

mile

s5

year

s/50

,000

mile

s

(fu

ll)5

year

s/50

,000

mile

s11

yea

rs/1

20,0

00

mile

s10

yea

rs/1

00,0

00 m

iles

10 y

ears

/ 20

,000

mile

s

KE

Y: C

O =

car

bon

mon

oxid

e; C

VS

= c

onst

ant v

olum

e sa

mpl

er; G

VW

R =

gro

ss v

ehic

le w

eigh

t rat

ing;

HC

= h

ydro

carb

ons;

LV

W =

load

ed v

ehic

le w

eigh

t; N

MH

C =

non

met

hane

hyd

roca

r-bo

ns; N

MO

G =

non

met

hane

org

anic

gas

es; N

Ox

= n

itrog

en o

xide

s.

aL

ight

-dut

y tr

uck

cate

gori

es L

DT

1-L

DT

4 w

ere

not

crea

ted

unti

l 199

4. F

rom

196

8 to

197

8, a

ll tr

ucks

wit

h a

GV

WR

up

to 6

,000

pou

nds

wer

e cl

assi

fied

as

light

-dut

y tr

ucks

and

wer

e re

quir

ed t

o m

eet

the

sam

e st

anda

rds.

As

of 1

979,

the

max

imum

wei

ght

was

rai

sed

to 8

,500

pou

nds

GV

WR

. Dur

ing

1988

-93,

ligh

t du

ty t

ruck

s w

ere

divi

ded

into

tw

o su

bcat

egor

ies

that

coi

ncid

e w

ith

the

curr

ent

LD

T1-

LD

T4

cate

gori

es. T

he s

tand

ards

for

LD

T2,

LD

T3,

and

LD

T4

are

show

n in

tab

les

4-30

b th

roug

h 4-

30d.

bT

he t

est

proc

edur

e fo

r m

easu

ring

exh

aust

em

issi

ons

has

chan

ged

seve

ral t

imes

ove

r th

e co

urse

of

vehi

cle

emis

sion

s re

gula

tion

. The

7-m

ode

proc

edur

e w

as

used

thr

ough

mod

el y

ear

1971

and

was

rep

lace

d by

the

CV

S-72

pro

cedu

re b

egin

ning

in m

odel

yea

r 19

72. T

he C

VS-

75 p

roce

dure

bec

ame

the

test

pro

cedu

re

as o

f m

odel

yea

r 19

75. W

hile

it m

ay a

ppea

r th

at to

tal H

C a

nd C

O s

tand

ards

wer

e re

laxe

d in

197

2-74

, the

se s

tand

ards

wer

e ac

tual

ly m

ore

stri

ngen

t due

to

the

mor

e st

ring

ent

natu

re o

f th

e C

VS-

72 t

est

proc

edur

e. A

ddit

iona

l sta

ndar

ds f

or C

O a

nd c

ompo

site

sta

ndar

ds f

or N

MH

C a

nd N

Ox

test

ed o

ver

the

new

Sup

ple-

men

tal F

eder

al T

est

Proc

edur

e w

ill b

e ph

ased

-in

begi

nnin

g w

ith

mod

el y

ear

2000

. The

se s

tand

ards

are

not

sho

wn

in t

his

tabl

e.C

ontin

ued

next

pag

e

Page 321: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

302 � Chapter 4: Transportation, Energy, and the Environment

cE

mis

sion

s st

anda

rds

had

to b

e m

et f

or a

use

ful l

ife

of 5

yea

rs/5

0,00

0 m

iles

thro

ugh

mod

el y

ear

1983

, and

a f

ull u

sefu

l lif

e of

11

year

s/12

0,00

0 m

iles

was

de

fine

d fo

r 19

85-9

3 (s

ever

al u

sefu

l lif

e op

tion

s w

ere

avai

labl

e fo

r 19

84).

Beg

inni

ng in

mod

el y

ear

1994

, em

issi

ons

stan

dard

s w

ere

esta

blis

hed

for

an in

term

e-di

ate

usef

ul li

fe o

f 5

year

s/50

,000

mile

s as

wel

l as

a fu

ll us

eful

life

(fu

ll us

eful

life

sta

ndar

ds a

re s

how

n in

par

enth

eses

). H

C s

tand

ards

, how

ever

, wer

e es

tab-

lishe

d on

ly f

or f

ull u

sefu

l lif

e. T

ier

1 ex

haus

t st

anda

rds,

exc

ept

part

icul

ates

sta

ndar

ds, w

ere

phas

ed in

dur

ing

1994

-96

at a

rat

e of

40%

, 80%

, and

100

%,

resp

ecti

vely

. Par

ticu

late

mat

ter

stan

dard

s w

ere

phas

ed-i

n at

a r

ate

of 4

0%, 8

0%, a

nd 1

00%

dur

ing

1995

-97.

dT

he c

old

CO

em

issi

ons

stan

dard

is m

easu

red

at 2

0 °F

(ra

ther

tha

n 75

°F)

and

is a

pplic

able

for

a 5

-yea

r/50

,000

-mile

use

ful l

ife.

eG

VW

R is

the

max

imum

des

ign

load

ed w

eigh

t. L

VW

is t

he c

urb

wei

ght

(nom

inal

veh

icle

wei

ght)

plu

s 30

0 po

unds

.f

Man

ufac

ture

rs c

an o

pt t

o ce

rtif

y ve

hicl

es f

or a

ful

l use

ful l

ife

of 1

5 ye

ars/

150,

000

mile

s an

d ei

ther

hav

e (1

) in

term

edia

te u

sefu

l lif

e st

anda

rds

wai

ved

or (

2)

rece

ive

addi

tion

al N

Ox

cred

its.

gT

he “

Prio

r to

con

trol

s” c

olum

n re

port

s em

issi

ons

esti

mat

es o

f a

typi

cal n

ewly

man

ufac

ture

d ca

r in

the

yea

rs b

efor

e ex

haus

t em

issi

ons

cert

ific

atio

n st

anda

rd

wer

e im

plem

ente

d.h

No

esti

mat

e av

aila

ble.

iIn

196

8-69

, exh

aust

em

issi

ons

stan

dard

s w

ere

issu

ed in

par

ts p

er m

illio

n ra

ther

tha

n gr

ams

per

mile

and

are

, the

refo

re, i

ncom

pati

ble

wit

h th

is t

able

.j

No

stan

dard

has

bee

n se

t.k

The

ter

m “

tier

” re

fers

to

a le

vel o

f st

anda

rds

for

spec

ific

yea

rs. I

nter

im T

ier

2 re

fers

to

an in

term

edia

te le

vel o

f st

anda

rds

that

mov

e m

anuf

actu

rers

tow

ard

com

plia

nce

wit

h T

ier

2 st

anda

rds.

Int

erim

Tie

r 2

and

Tie

r 2

stan

dard

s ar

e es

tabl

ishe

d as

“bi

ns.”

Eac

h bi

n is

a s

et o

f st

anda

rds

for

NO

x, C

O, N

MO

G, f

orm

al-

dehy

de, a

nd p

arti

cula

tes

(HC

and

NM

HC

sta

ndar

ds a

re d

ropp

ed f

or T

ier

2 an

d In

teri

m T

ier

2). M

anuf

actu

rers

may

cer

tify

any

giv

en v

ehic

le f

amily

to

any

of

the

bins

ava

ilabl

e fo

r th

at v

ehic

le c

lass

as

long

as

the

resu

ltin

g sa

les-

wei

ghte

d co

rpor

ate

aver

age

NO

x st

anda

rd is

met

for

the

ful

l use

ful l

ife.

The

Tie

r 2

corp

o-ra

te a

vera

ge N

Ox

stan

dard

is 0

.07

gram

s/m

ile. I

nter

im c

orpo

rate

-bas

ed a

vera

ge N

Ox

stan

dard

s ar

e ba

sed

on v

ehic

le t

ype.

The

inte

rim

cor

pora

te s

ales

-w

eigh

ted

aver

age

for

LD

T1

vehi

cles

is 0

.3 g

ram

s/m

ile. T

ier

2 st

anda

rds

will

be

phas

ed in

at

a ra

te o

f 25

% in

200

4, 5

0% in

200

5, 7

5% in

200

6, a

nd 1

00%

in

2007

. Dur

ing

this

per

iod,

all

LD

T1

vehi

cles

not

mee

ting

the

Tie

r 2

stan

dard

s m

ust

mee

t In

teri

m T

ier

2 st

anda

rds.

SOU

RC

ES

40 C

FR 8

6, S

ubpa

rt A

(Ju

ly 1

, 200

0).

Fede

ral R

egis

ter,

Vol

. 65,

No.

28,

pp.

685

1-68

58.

TABL

E 4-

30a:

Fed

eral

Exh

aust

Em

issi

on C

ertif

icat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t-Dut

y Tr

ucks

(Cat

egor

y LD

T1)a

,b,c

(Gra

ms

per m

ile) (

Cont

inue

d)

Page 322: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 303

TABL

E 4-

30b:

Fed

eral

Exh

aust

Em

issi

on C

ertif

icat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t-Dut

y Tr

ucks

(Cat

egor

y LD

T1)a

,b,c

(Gra

ms

per m

ile)

En

gin

e ty

pe

and

po

lluta

nt

Pri

or to

co

ntro

lg19

68-

1969

1970

-19

7119

7219

73-

1974

1975

1976

-19

7819

79-

1981

1982

-19

8319

8419

85-

1986

1987

1988

-19

9019

91-

1993

Tier

1k

1994

1995

-200

3In

teri

m T

ier

2k

2004

-200

6T

ier

2k20

07+

Gas

olin

e

HC

(to

tal)

11i

2.2

3.4

2.0

1.7

0.80

j

(0.8

0)j

NM

HC

hj

j(0

.40)

j

NM

OG

hj

0.12

5(0

.156

)0.

100

(0.1

25)

CO

80i

2339

2018

104.

4(5

.5)

3.4

(4.2

)

Col

d-te

mp.

CO

dh

j12

.5(j )

NO

x4

j3.

03.

12.

31.

70.

7(0

.97)

0.4

(0.6

)0.

14(0

.20)

Par

ticul

ates

hj

0.08

(0.1

0)0.

08(0

.08)

0.02

(0.0

2)

Form

alde

hyde

hj

0.01

5(0

.018

)

Die

sel

HC

(to

tal)

11j

2.0

1.7

0.80

j

(0.8

0)j

NM

HC

hj

0.32

(0.4

0)j

NM

OG

hj

j(0

.156

)0.

100

(0.1

25)

CO

80j

2018

104.

4(5

.5)

j(4

.2)

3.4

(4.2

)

NO

x4

j3.

12.

31.

7j

(0.9

7)j

(0.6

)0.

14(0

.20)

Par

ticul

ates

hj

0.60

0.

50

0.45

0.13

0.08

(0.1

0)j

(0.1

0)0.

02(0

.02)

Form

alde

hyde

hj

j(0

.018

)0.

015

(0.0

18)

LD

T2

wei

gh

t cr

iter

iae

GV

WR

up

thro

ugh

6,00

0 po

unds

GV

WR

up

thro

ugh

8,50

0 po

unds

GV

WR

up

thro

ugh

6,00

0 po

unds

; LV

W o

ver

3,75

0 po

unds

Test

pro

ced

ure

b7-

mod

eC

VS

-72

CV

S-7

5

Use

ful l

ife

(in

term

edia

te)c

,fj

5 ye

ars/

50,0

00 m

iles

5 ye

ars/

50,0

00 m

iles

(fu

ll)5

year

s/50

,000

mile

s11

yea

rs/1

20,0

00 m

iles

10 y

ears

/100

,000

mile

s10

yea

rs/

120,

000

mile

s

KE

Y: C

O =

car

bon

mon

oxid

e; G

VW

R =

gro

ss v

ehic

le w

eigh

t rat

ing;

HC

= h

ydro

carb

ons;

LV

W =

load

ed v

ehic

le w

eigh

t; N

MH

C =

non

met

hane

hyd

roca

rbon

s; N

MO

G =

non

met

hane

org

anic

ga

ses;

NO

x =

nitr

ogen

oxi

des.

aL

ight

-dut

y tr

uck

cate

gori

es L

DT

1-L

DT

4 w

ere

not

crea

ted

unti

l 199

4. F

rom

196

8 to

197

8 al

l tru

cks

wit

h a

GV

WR

up

to 6

,000

pou

nds

wer

e cl

assi

fied

as

light

-dut

y tr

ucks

and

wer

e re

quir

ed t

o m

eet

the

sam

e st

anda

rds.

As

of 1

979,

the

max

imum

wei

ght

was

rai

sed

to 8

,500

pou

nds

GV

WR

. Dur

ing

1988

-93,

ligh

t-du

ty t

ruck

s w

ere

divi

ded

into

tw

o su

bcat

egor

ies

that

coi

ncid

e w

ith

the

curr

ent

LD

T1-

LD

T4

cate

gori

es. T

he s

tand

ards

for

LD

T1,

LD

T2,

and

LD

T4

are

give

n in

tab

les

4-30

a, 4

-40b

, and

4-3

0d.

bT

he t

est

proc

edur

e fo

r m

easu

ring

exh

aust

em

issi

ons

has

chan

ged

seve

ral t

imes

ove

r th

e co

urse

of

vehi

cle

emis

sion

s re

gula

tion

. The

7-m

ode

proc

edur

e w

as

used

thr

ough

mod

el y

ear

1971

and

was

rep

lace

d by

the

CV

S-72

pro

cedu

re b

egin

ning

in m

odel

yea

r 19

72. T

he C

VS-

75 p

roce

dure

bec

ame

the

test

pro

cedu

re

as o

f m

odel

yea

r 19

75. W

hile

it m

ay a

ppea

r th

at t

he t

otal

HC

and

CO

sta

ndar

ds w

ere

rela

xed

in 1

972-

74, t

hese

sta

ndar

ds w

ere

actu

ally

mor

e st

ring

ent

due

to t

he m

ore

stri

ngen

t na

ture

of

the

CV

S-72

tes

t pr

oced

ure.

Add

itio

nal s

tand

ards

for

CO

and

com

posi

te s

tand

ards

for

NM

HC

and

NO

x te

sted

ove

r th

e ne

w

Supp

lem

enta

l Fed

eral

Tes

t Pr

oced

ure

will

be

phas

ed-i

n be

ginn

ing

wit

h m

odel

yea

r 20

00. T

hese

sta

ndar

ds a

re n

ot s

how

n in

thi

s ta

ble.

Con

tinue

d ne

xt p

age

Page 323: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

304 � Chapter 4: Transportation, Energy, and the Environment

cE

mis

sion

s st

anda

rds

had

to b

e m

et f

or a

use

ful l

ife

of 5

yea

rs/5

0,00

0 m

iles

thro

ugh

mod

el y

ear

1983

, and

a f

ull u

sefu

l lif

e of

11

year

s/12

0,00

0 m

iles

was

de

fine

d fo

r 19

85-9

3 (s

ever

al u

sefu

l lif

e op

tion

s w

ere

avai

labl

e fo

r 19

84).

Beg

inni

ng in

mod

el y

ear

1994

, em

issi

ons

stan

dard

s w

ere

esta

blis

hed

for

an in

term

e-di

ate

usef

ul li

fe o

f 5

year

s/50

,000

mile

s as

wel

l as

a fu

ll us

eful

life

(fu

ll us

eful

life

sta

ndar

ds a

re s

how

n in

par

enth

eses

). H

C s

tand

ards

, how

ever

, wer

e es

tab-

lishe

d on

ly f

or f

ull u

sefu

l lif

e. T

ier

1 ex

haus

t st

anda

rds,

exc

ept

part

icul

ates

sta

ndar

ds, w

ere

phas

ed-i

n du

ring

199

4-96

at

a ra

te o

f 40

%, 8

0%, a

nd 1

00%

, re

spec

tive

ly. P

arti

cula

tes

stan

dard

s w

ere

phas

ed-i

n at

a r

ate

of 4

0%, 8

0%, a

nd 1

00%

dur

ing

1995

-97.

d

The

col

d C

O e

mis

sion

s st

anda

rd is

mea

sure

d at

20

°F (

rath

er t

han

75 °

F) a

nd is

app

licab

le f

or a

5-y

ear/

50,0

00-m

ile u

sefu

l lif

e.e

GV

WR

is t

he m

axim

um d

esig

n lo

aded

wei

ght.

LV

W is

the

cur

b w

eigh

t (n

omin

al v

ehic

le w

eigh

t) p

lus

300

poun

ds.

fM

anuf

actu

rers

can

opt

to

cert

ify

vehi

cles

for

a f

ull u

sefu

l lif

e of

15

year

s/15

0,00

0 m

iles

and

eith

er h

ave

(1)

inte

rmed

iate

use

ful l

ife

stan

dard

s w

aive

d or

(2)

re

ceiv

e ad

diti

onal

NO

x cr

edit

s.

gT

he “

Prio

r to

con

trol

s” r

epor

ts e

mis

sion

s es

tim

ates

of

a ty

pica

l new

ly m

anuf

actu

red

car

in t

he y

ears

bef

ore

exha

ust

emis

sion

s ce

rtif

icat

ion

stan

dard

s w

ere

impl

emen

ted.

hN

o es

tim

ate

avai

labl

e.i

In 1

968-

69, e

xhau

st e

mis

sion

s st

anda

rds

wer

e is

sued

in p

arts

per

mill

ion

rath

er t

han

gram

s pe

r m

ile a

nd a

re, t

here

fore

, inc

ompa

tibl

e w

ith

this

tab

le.

jN

o st

anda

rd h

as b

een

set.

kT

he t

erm

“ti

er”

refe

rs t

o a

leve

l of

stan

dard

s fo

r sp

ecif

ic y

ears

. Int

erim

2 r

efer

s to

an

inte

rmed

iate

leve

l of

stan

dard

s th

at m

ove

man

ufac

ture

rs t

owar

d co

mpl

i-an

ce w

ith

Tie

r 2

stan

dard

s. I

nter

im T

ier

2 an

d T

ier

2 st

anda

rds

are

esta

blis

hed

as “

bins

.” E

ach

bin

is a

set

of

stan

dard

s fo

r N

Ox,

CO

, NM

OG

, for

mal

dehy

de,

and

part

icul

ates

(H

C a

nd N

MH

C s

tand

ards

are

dro

pped

for

Tie

r 2

and

Inte

rim

Tie

r 2)

. Man

ufac

ture

rs m

ay c

erti

fy a

ny g

iven

veh

icle

fam

ily t

o an

y of

the

bin

s av

aila

ble

for

that

veh

icle

cla

ss a

s lo

ng a

s th

e re

sult

ing

sale

s-w

eigh

ted

corp

orat

e av

erag

e N

Ox

stan

dard

is m

et f

or t

he f

ull u

sefu

l lif

e. T

he T

ier

2 co

rpor

ate

aver

-ag

e N

Ox

stan

dard

is 0

.07

gram

s/m

ile. I

nter

im c

orpo

rate

-bas

ed a

vera

ge N

Ox

stan

dard

s ar

e ba

sed

on v

ehic

le t

ype.

The

inte

rim

cor

pora

te s

ales

-wei

ghte

d av

er-

age

for

LD

T2

vehi

cles

is 0

.3 g

ram

s/m

ile. T

ier

2 st

anda

rds

will

be

phas

ed in

at

a ra

te o

f 25

% in

200

4, 5

0% in

200

5, 7

5% in

200

6, a

nd 1

00%

in 2

007.

Dur

ing

this

per

iod

all L

DT

2 ve

hicl

es n

ot m

eeti

ng t

he T

ier

2 st

anda

rds

mus

t m

eet

Inte

rim

Tie

r 2

stan

dard

s.

SOU

RC

ES

40 C

FR 8

6, S

ubpa

rt A

(Ju

ly 1

, 200

0).

Fede

ral R

egis

ter,

Vol

. 65,

No.

28,

pp.

685

1-68

58.

TABL

E 4-

30b:

Fed

eral

Exh

aust

Em

issi

on C

ertif

icat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t-Dut

y Tr

ucks

(Cat

egor

y LD

T1)a

,b,c

(Gra

ms

per m

ile) (

Cont

inue

d)

Page 324: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 305

TABL

E 4-

30c:

Fed

eral

Exh

aust

Em

issi

on C

ertif

icat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t-Dut

y Tr

ucks

(Cat

egor

y LD

T1)a

,b,c

(Gra

ms

per m

ile)

En

gin

e ty

pe

and

p

ollu

tan

tP

rior

to

cont

rolg

1968

-19

6919

70-

1971

1972

1973

-19

7419

7519

76-

1978

1979

-19

8119

82-

1983

1984

1985

-19

8619

8719

88-

1989

1990

1991

-19

95Ti

er 1

k 19

96-2

007

Inte

rim

Tie

r 2k

2008

Tie

r 2k

2009

+

Gas

olin

e

HC

(to

tal)

11i

2.2

3.4

2.0

1.7

0.80

j

(0.8

0)j

NM

HC

hj

0.32

(0.4

6)j

NM

OG

hj

0.16

0(0

.230

)0.

125

(0.1

56)

CO

80i

2339

2018

104.

4(6

.4)

3.4

4.2

Col

d-te

mp.

CO

dh

j12

.5(j )

NO

x4

j3.

03.

12.

32.

31.

70.

7(0

.98)

0.4

(0.6

)0.

14(0

.20)

Par

ticul

ates

hj

j(0

.10)

0.08

(0.0

8)0.

02(0

.02)

Form

alde

hyde

hj

0.01

8(0

.027

)0.

015

(0.0

18)

Die

sel

HC

(to

tal)

11j

2.0

1.7

0.80

j

(0.8

0)j

NM

HC

hj

0.32

(0.4

6)j

NM

OG

hj

j(0

.230

)0.

125

(0.1

56)

CO

80j

2018

104.

4(6

.4)

j3.

4 4

.2

NO

x4

j3.

12.

32.

31.

7j

(0.9

8)j

(0.6

)0.

14(0

.20)

Par

ticul

ates

hj

0.60

0.

50

0.45

0.13

j(0

.10)

j(0

.08)

0.02

(0.0

2)

Form

alde

hyde

hj

j(0

.027

)0.

015

(0.0

18)

LD

T3

wei

gh

t cr

iter

iae

GV

WR

up

thro

ugh

6,00

0 po

unds

GV

WR

up

thro

ugh

8,50

0 po

unds

Any

ALV

WA

LVW

up

thro

ugh

5,75

0 po

unds

GV

WR

6,0

01-8

,500

pou

nds

Test

pro

ced

ure

b7-

mod

eC

VS

-72

CV

S-7

5

Use

ful l

ife

(in

term

edia

te)c

,f

(fu

ll)j

5 ye

ars/

50,0

00 m

iles

5 ye

ars/

50,0

00 m

iles

11 y

ears

/120

,000

mile

s

KE

Y: C

O =

car

bon

mon

oxid

e; G

VW

R =

gro

ss v

ehic

le w

eigh

t rat

ing;

HC

= h

ydro

carb

ons;

LV

W =

load

ed v

ehic

le w

eigh

t; N

MH

C =

non

met

hane

hyd

roca

rbon

s; N

MO

G n

onm

etha

ne o

rgan

ic

gase

s; N

Ox

= n

itrog

en o

xide

s.

aL

ight

-dut

y tr

uck

cate

gori

es L

DT

1-L

DT

4 w

ere

not

crea

ted

unti

l 199

4. F

rom

196

8 to

197

8 al

l tru

cks

wit

h a

GV

WR

up

to 6

,000

pou

nds

wer

e cl

assi

fied

as

light

-dut

y tr

ucks

and

wer

e re

quir

ed t

o m

eet

the

sam

e st

anda

rds.

As

of 1

979,

the

max

imum

wei

ght

was

rai

sed

to 8

,500

pou

nds

GV

WR

. Dur

ing

1988

-93,

lig

ht-d

uty

truc

ks w

ere

divi

ded

into

tw

o su

bcat

egor

ies

that

coi

ncid

e w

ith

the

curr

ent

LD

T1-

LD

T4

cate

gori

es. T

he s

tand

ards

for

LD

T1,

LD

T2,

and

LD

T4

are

give

n in

tab

les

4-30

a, 4

-40b

, and

4-3

0d.

bT

he t

est

proc

edur

e fo

r m

easu

ring

exh

aust

em

issi

ons

has

chan

ged

seve

ral t

imes

ove

r th

e co

urse

of

vehi

cle

emis

sion

s re

gula

tion

. The

7-m

ode

proc

edur

e w

as

used

thr

ough

mod

el y

ear

1971

and

was

rep

lace

d by

the

CV

S-72

pro

cedu

re b

egin

ning

in m

odel

yea

r 19

72. T

he C

VS-

75 p

roce

dure

bec

ame

the

test

pro

cedu

re

as o

f m

odel

yea

r 19

75. W

hile

it m

ay a

ppea

r th

at t

he t

otal

HC

and

CO

sta

ndar

ds w

ere

rela

xed

in 1

972-

74, t

hese

sta

ndar

ds w

ere

actu

ally

mor

e st

ring

ent

due

to t

he m

ore

stri

ngen

t na

ture

of

the

CV

S-72

tes

t pr

oced

ure.

Add

itio

nal s

tand

ards

for

CO

and

com

posi

te s

tand

ards

for

NM

HC

and

NO

x te

sted

ove

r th

e ne

w

Supp

lem

enta

l Fed

eral

Tes

t Pr

oced

ure

will

be

phas

ed-i

n be

ginn

ing

wit

h m

odel

yea

r 20

02. T

hese

sta

ndar

ds a

re n

ot s

how

n in

thi

s ta

ble.

Con

tinue

d ne

xt p

age

Page 325: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

306 � Chapter 4: Transportation, Energy, and the Environment

cE

mis

sion

s st

anda

rds

had

to b

e m

et f

or a

ful

l use

ful l

ife

of 5

yea

rs/5

0,00

0 m

iles

thro

ugh

mod

el y

ear

1983

, and

a f

ull u

sefu

l lif

e of

11

year

s/12

0,00

0 m

iles

was

de

fine

d fo

r 19

85-9

3 (s

ever

al u

sefu

l lif

e op

tion

s w

ere

avai

labl

e fo

r 19

84).

Beg

inni

ng in

mod

el y

ear

1996

, em

issi

ons

stan

dard

s w

ere

esta

blis

hed

for

an in

term

e-di

ate

usef

ul li

fe o

f 5

year

s/50

,000

mile

s as

wel

l as

a fu

ll us

eful

life

of

11 y

ears

/120

,000

mile

s (i

nter

med

iate

and

ful

l use

ful l

ife

stan

dard

s ar

e sh

own

in p

aren

-th

eses

). T

his

appl

ied

to a

ll po

lluta

nts

exce

pt H

C a

nd p

arti

cula

tes

for

all L

DT

3 ve

hicl

es a

nd N

Ox

for

dies

el-p

ower

ed L

DT

3 ve

hicl

es, w

hich

wer

e on

ly r

equi

red

to m

eet

full

usef

ul li

fe s

tand

ards

. Tie

r 1

exha

ust

stan

dard

s w

ere

phas

ed-i

n du

ring

199

6-97

at

a ra

te o

f 50

% a

nd 1

00%

, res

pect

ivel

y.

dT

he c

old

CO

em

issi

ons

stan

dard

is m

easu

red

at 2

0 °F

(ra

ther

tha

n 75

°F)

and

is a

pplic

able

for

a 5

-yea

r/50

,000

-mile

use

ful l

ife.

eG

VW

R is

the

max

imum

des

ign

load

ed w

eigh

t. A

LVW

is t

he n

umer

ical

ave

rage

of

the

GV

WR

and

the

cur

b w

eigh

t.f

Man

ufac

ture

rs c

an o

pt t

o ce

rtif

y ve

hicl

es f

or a

ful

l use

ful l

ife

of 1

5 ye

ars/

150,

000

mile

s an

d ei

ther

hav

e (1

) in

term

edia

te u

sefu

l lif

e st

anda

rds

wai

ved

or (

2)

rece

ive

addi

tion

al N

Ox

cred

its.

gT

he “

Prio

r to

con

trol

s” c

olum

n re

port

s em

issi

ons

esti

mat

es o

f a

typi

cal n

ewly

man

ufac

ture

d ca

r in

the

yea

rs b

efor

e ex

haus

t em

issi

ons

cert

ifca

tion

sta

ndar

ds

wer

e im

plem

ente

d.h

No

esti

mat

e av

aila

ble.

iIn

196

8-69

, exh

aust

em

issi

ons

stan

dard

s w

ere

issu

ed in

par

ts p

er m

illio

n ra

ther

tha

n gr

ams

per

mile

and

are

, the

refo

re, i

ncom

pati

ble

wit

h th

is t

able

.j

No

stan

dard

has

bee

n se

t.k

The

ter

m “

tier

” re

fers

to

a le

vel o

f st

anda

rds

for

spec

ific

yea

rs. I

nter

im 2

ref

ers

to a

n in

term

edia

te le

vel o

f st

anda

rds

that

mov

es m

anuf

actu

rers

tow

ard

com

-pl

ianc

e w

ith

Tie

r 2

stan

dard

s. I

nter

im T

ier

2 an

d T

ier

2 st

anda

rds

are

esta

blis

hed

as “

bins

.” E

ach

bin

is a

set

of

stan

dard

s fo

r N

Ox,

CO

, NM

OG

, for

mal

de-

hyde

, and

par

ticu

late

s (H

C a

nd N

MH

C s

tand

ards

are

dro

pped

for

Tie

r 2

and

Inte

rim

Tie

r 2)

. Man

ufac

ture

rs m

ay c

erti

fy a

ny g

iven

veh

icle

fam

ily t

o an

y of

th

e bi

ns a

vaila

ble

for

that

veh

icle

cla

ss a

s lo

ng a

s th

e re

sult

ing

sale

s-w

eigh

ted

corp

orat

e av

erag

e N

Ox

stan

dard

is m

et f

or f

ull u

sefu

l lif

e. T

he T

ier

2 co

rpor

ate

aver

age

NO

x st

anda

rd is

0.0

7 gr

ams/

mile

. Int

erim

cor

pora

te-b

ased

ave

rage

NO

x st

anda

rds

are

base

d on

veh

icle

typ

e. T

he in

teri

m c

orpo

rate

sal

es-w

eigh

ted

aver

age

for

LD

T3

vehi

cles

is 0

.6 g

ram

s/m

ile. T

ier

2 L

DT

3 st

anda

rds

will

be

phas

ed in

dur

ing

2008

and

200

9. I

n 20

08, 5

0% o

f L

DT

3 ve

hicl

es m

ust

mee

t T

ier

2 st

anda

rds;

the

oth

ers

mus

t m

eet

Inte

rim

Tie

r 2

stan

dard

s. B

egin

ning

in 2

009,

all

LD

T3

vehi

cles

mus

t m

eet

Tie

r 2

stan

dard

s.

SOU

RC

ES

40 C

FR 8

6, S

ubpa

rt A

(Ju

ly 1

, 200

0).

Fede

ral R

egis

ter,

Vol

. 65,

No.

28,

pp.

685

1-68

58.

TABL

E 4-

30c:

Fed

eral

Exh

aust

Em

issi

on C

ertif

icat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t-Dut

y Tr

ucks

(Cat

egor

y LD

T1)a

,b,c

(Gra

ms

per m

ile) (

Cont

inue

d)

Page 326: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 307

TABL

E 4-

30d:

Fed

eral

Exh

aust

Em

issi

on C

ertif

icat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t-Dut

y Tr

ucks

(Cat

egor

y LD

T1)a

,b,c

(Gra

ms

per m

ile)

En

gin

e ty

pe

and

p

ollu

tan

tP

rior

to

cont

rolg

1968

-19

6919

70-

1971

1972

1973

-19

7419

7519

76-

1978

1979

-19

8119

82-

1983

1984

1985

-19

8619

8719

88-

1989

1990

1991

-19

95Ti

er 1

k 19

96-2

007

Inte

rim

Tie

r 2k

20

08T

ier

2k20

09+

Gas

olin

e

HC

(to

tal)

11i

2.2

3.4

2.0

1.7

0.80

j

(0.8

0)j

NM

HC

hj

0.39

(0.5

6)j

NM

OG

hj

0.16

0(0

.230

)0.

125

(0.1

56)

CO

80i

2339

2018

105.

0(7

.3)

4.4

(6.4

)3.

4(4

.2)

Col

d-te

mp.

CO

dh

j12

.5(j )

NO

x4

j3.

03.

12.

32.

31.

71.

1(1

.53)

0.4

(0.6

)0.

14(0

.20)

Par

ticul

ates

hj

j(0

.12)

0.08

(0.0

8)0.

02(0

.02)

Form

alde

hyde

hj

0.01

8(0

.027

)0.

015

(0.0

18)

Die

sel

HC

(to

tal)

11j

2.0

1.7

0.80

j

(0.8

0)j

NM

HC

hj

0.39

(0.5

6)j

NM

OG

hj

j(0

.230

)0.

125

(0.1

56)

CO

80j

2018

105.

0(7

.3)

j(6

.4)

3.4

(4.2

)

NO

x4

j3.

12.

32.

31.

7(1

.53)

j(0

.6)

0.14

(0.2

0)

Par

ticul

ates

hj

0.60

0.

50

0.45

0.13

(0.1

2)j

(0.0

8)0.

02(0

.02)

Form

alde

hyde

hj

j(0

.027

)0.

015

(0.0

18)

LD

T4

wei

gh

t cr

iter

iae

GV

WR

up

thro

ugh

6,00

0 po

unds

GV

WR

up

thro

ugh

8,50

0 po

unds

Any

ALV

WA

LVW

ove

r 5,

750

poun

ds

GV

WR

6,0

01-8

,500

pou

nds

Test

pro

ced

ure

b7-

mod

eC

VS

-72

CV

S-7

5

Use

ful l

ife

(in

term

edia

te)c

,f

(fu

ll)j

5 ye

ars/

50,0

00 m

iles

5 ye

ars/

50,0

00 m

iles

11 y

ears

/120

,000

yea

rs

KE

Y: A

LVW

= a

djus

ted

load

ed v

ehic

le w

eigh

t; C

O =

car

bon

mon

oxid

e; G

VW

R =

gro

ss v

ehic

le w

eigh

t rat

ing;

HC

= h

ydro

carb

ons;

NM

HC

= n

onm

etha

ne h

ydro

carb

ons;

NM

OG

= n

on-

met

hane

org

anic

gas

es; N

Ox

= n

itrog

en o

xide

s.

aL

ight

-dut

y tr

uck

cate

gori

es L

DT

1-L

DT

4 w

ere

not

crea

ted

unti

l 199

4. F

rom

196

8 to

197

8 al

l tru

cks

wit

h a

GV

WR

up

to 6

,000

pou

nds

wer

e cl

assi

fied

as

light

-dut

y tr

ucks

and

wer

e re

quir

ed t

o m

eet

the

sam

e st

anda

rds.

As

of 1

979,

the

max

imum

wei

ght

was

rai

sed

to 8

,500

pou

nds

GV

WR

. Dur

ing

1988

-93,

lig

ht-d

uty

truc

ks w

ere

divi

ded

into

tw

o su

bcat

egor

ies

that

coi

ncid

e w

ith

the

curr

ent

LD

T1-

LD

T4

cate

gori

es. T

he s

tand

ards

for

LD

T1,

LD

T2,

and

LD

T3

are

give

n in

tab

les

4-30

a, 4

-40b

, and

4-3

0c.

bT

he t

est

proc

edur

e fo

r m

easu

ring

exh

aust

em

issi

ons

has

chan

ged

seve

ral t

imes

ove

r th

e co

urse

of

vehi

cle

emis

sion

s re

gula

tion

. The

7-m

ode

proc

edur

e w

as

used

thr

ough

mod

el y

ear

1971

and

was

rep

lace

d by

the

CV

S-72

pro

cedu

re b

egin

ning

in m

odel

yea

r 19

72. T

he C

VS-

75 p

roce

dure

bec

ame

the

test

pro

cedu

re

as o

f m

odel

yea

r 19

75. W

hile

it m

ay a

ppea

r th

at t

he t

otal

HC

and

CO

sta

ndar

ds w

ere

rela

xed

in 1

972-

74, t

hese

sta

ndar

ds w

ere

actu

ally

mor

e st

ring

ent

due

to t

he m

ore

stri

ngen

t na

ture

of

the

CV

S-72

tes

t pr

oced

ure.

Add

itio

nal s

tand

ards

for

CO

and

com

posi

te s

tand

ards

for

NM

HC

and

NO

x te

sted

ove

r th

e ne

w S

uppl

emen

tal F

eder

al T

est

Proc

edur

e w

ill b

e ph

ased

-in

begi

nnin

g w

ith

mod

el y

ear

2002

. The

se s

tand

ards

are

not

sho

wn

in t

his

tabl

e.C

ontin

ued

next

pag

e

Page 327: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

308 � Chapter 4: Transportation, Energy, and the Environment

cE

mis

sion

s st

anda

rds

had

to b

e m

et f

or a

ful

l use

ful l

ife

of 5

yea

rs/5

0,00

0 m

iles

thro

ugh

mod

el y

ear

1983

, and

a f

ull u

sefu

l lif

e of

11

year

s/12

0,00

0 m

iles

was

de

fine

d fo

r 19

85-9

3 (s

ever

al u

sefu

l lif

e op

tion

s w

ere

avai

labl

e fo

r 19

84).

Beg

inni

ng in

mod

el y

ear

1996

, em

issi

ons

stan

dard

s w

ere

esta

blis

hed

for

an in

term

e-di

ate

usef

ul li

fe o

f 5

year

s/50

,000

mile

s as

wel

l as

a fu

ll us

eful

life

of

11 y

ears

/120

,000

mile

s (i

nter

med

iate

and

ful

l use

ful l

ife

stan

dard

s ar

e sh

own

in p

aren

-th

eses

). T

his

appl

ied

to a

ll po

lluta

nts

exce

pt H

C a

nd p

arti

cula

tes

for

all L

DT

4 ve

hicl

es a

nd N

Ox

for

dies

el-p

ower

ed L

DT

4 ve

hicl

es, w

hich

wer

e on

ly r

equi

red

to m

eet

full

usef

ul li

fe s

tand

ards

. Tie

r 1

exha

ust

stan

dard

s w

ere

phas

ed-i

n du

ring

199

6-97

at

a ra

te o

f 50

% a

nd 1

00%

, res

pect

ivel

y.

dT

he c

old

CO

em

issi

ons

stan

dard

is m

easu

red

at 2

0 °F

(ra

ther

tha

n 75

°F)

and

is a

pplic

able

for

a 5

-yea

r/50

,000

-mile

use

ful l

ife.

eG

VW

R is

the

max

imum

des

ign

load

ed w

eigh

t. A

LVW

is t

he n

umer

ical

ave

rage

of

the

GV

WR

and

the

cur

b w

eigh

t.f

Man

ufac

ture

rs c

an o

pt t

o ce

rtif

y ve

hicl

es f

or a

ful

l use

ful l

ife

of 1

5 ye

ars/

150,

000

mile

s an

d ei

ther

hav

e (1

) in

term

edia

te u

sefu

l lif

e st

anda

rds

wai

ved

or (

2)

rece

ive

addi

tion

al N

Ox

cred

its.

gT

he “

Prio

r to

con

trol

” co

lum

n re

port

s em

issi

ons

esti

mat

es o

f a

typi

cal n

ewly

man

ufac

ture

d ca

r in

the

yea

rs b

efor

e ex

haus

t em

issi

ons

cert

ific

atio

n st

anda

rds

wer

e im

plem

ente

d.h

No

esti

mat

e av

aila

ble.

iIn

196

8-69

, exh

aust

em

issi

ons

stan

dard

s w

ere

issu

ed in

par

ts p

er m

illio

n ra

ther

tha

n gr

ams

per

mile

and

are

, the

refo

re, i

ncom

pati

ble

wit

h th

is t

able

.j

No

stan

dard

has

bee

n se

t.k

The

ter

m “

tier

” re

fers

to

a le

vel o

f st

anda

rds

for

spec

ific

yea

rs. I

nter

im 2

ref

ers

to a

n in

term

edia

te le

vel o

f st

anda

rds

that

mov

es m

anuf

actu

rers

tow

ard

com

-pl

ianc

e w

ith

Tie

r 2

stan

dard

s. I

nter

im T

ier

2 an

d T

ier

2 st

anda

rds

are

esta

blis

hed

as “

bins

.” E

ach

bin

is a

set

of

stan

dard

s fo

r N

Ox,

CO

, NM

OG

, for

mal

de-

hyde

, and

par

ticu

late

mat

ter

(HC

and

non

-met

hane

HC

sta

ndar

ds a

re d

ropp

ed f

or T

ier

2 an

d in

teri

m T

ier

2). M

anuf

actu

rers

may

cer

tify

any

giv

en v

ehic

le

fam

ily t

o an

y of

the

bin

s av

aila

ble

for

that

veh

icle

cla

ss a

s lo

ng a

s th

e re

sult

ing

sale

s-w

eigh

ted

corp

orat

e av

erag

e N

Ox

stan

dard

is m

et f

or f

ull u

sefu

l lif

e. T

he

Tie

r 2

corp

orat

e av

erag

e N

Ox

stan

dard

is 0

.07

gram

s/m

ile. I

nter

im c

orpo

rate

-bas

ed a

vera

ge N

Ox

stan

dard

s ar

e ba

sed

on v

ehic

le t

ype.

The

inte

rim

cor

pora

te

sale

s-w

eigh

ted

aver

age

for

LD

T4

vehi

cles

is 0

.6 g

ram

s/m

ile. T

ier

2 st

anda

rds

will

be

phas

ed in

dur

ing

2008

and

200

9. I

n 20

08, 5

0% o

f L

DT

4 ve

hicl

es m

ust

mee

t T

ier

2 st

anda

rds;

the

oth

ers

mus

t m

eet

Inte

rim

Tie

r 2

stan

dard

s. B

egin

ning

in 2

009,

all

LD

T4

vehi

cles

mus

t m

eet

Tie

r 2

stan

dard

s.

SOU

RC

ES

40 C

FR 8

6, S

ubpa

rt A

(Ju

ly 1

, 200

0).

Fede

ral R

egis

ter,

Vol

. 65,

No.

28,

pp.

685

1-68

58.

TABL

E 4-

30d:

Fed

eral

Exh

aust

Em

issi

on C

ertif

icat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t-Dut

y Tr

ucks

(Cat

egor

y LD

T1)a

,b,c

(Gra

ms

per m

ile) (

Cont

inue

d)

Page 328: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 309

TABLE 4-31: Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Medium-Duty Passenger Vehicles (MDPV)a,b (Grams per mile)

Interim Tier 2f Tier 2f

Engine type and pollutant 2004 2008 2009+GasolineNMOG 0.195 (0.280) 0.125 (0.156)

CO 5.0 (7.3) 3.4 (4.2)

Cold-temp. COc 12.5

NOx 0.6 (0.9) 0.14 (0.20)

Particulates 0.12 (0.12) 0.02 (0.02)Formaldehyde 0.022 (0.032) 0.015 (0.018)Diesel

HC 1.3 g/bhp-hrNMHC + NOx 2.4 g/bhp-hr

NMOG g (0.280) 0.125 (0.156)CO 15.5 g/bhp-hr g (7.3) 3.4 (4.2)

NOx 4.0 g/bhp-hr g (0.9) 0.14 (0.20)

Particulates 0.10 g/bhp-hr g (0.12) 0.02 (0.02)

Formaldehyde g (0.032) 0.015 (0.018)Smoke opacity (acceleration/lugging/peak)d

20/15/50

Weight Criteria Greater than 8,500 pounds GVWR; less than 10,000 pounds GVWR

Test procedure-gasoline CVS-75-diesel EPA Transient CVS-75

Useful life-gasoline (intermediate)b,e 5 years/50,000 miles

(full) 11 years/120,000 miles

Useful life-diesel (intermediate)b,e g 5 years/50,000 miles

(full) 8 years/110,000 miles 11 years/120,000 miles

KEY: CO = carbon monoxide; g/bhp-hr = grams per brake horsepower/hour; GVWR = gross vehicle weight rating; HC = hydrocarbons; NMHC = nonmethane hydrocarbon; NMOG = nonmethane organic gases; NOx = nitrogen oxides.

a The MDPV category was created for the Interim Tier 2 and Tier 2 vehicle emissions standards. This category was specifically designed to help bring passenger vehicles (such as large sport utility vehicles and passenger vans) over 8,500 pounds GVWR into the Tier 2 program. MDPVs are defined as any complete heavy-duty vehicle less than 10,000 pounds GVWR designed primarily for transportation of persons, including conver-sion vans (i.e., vans which are intended to be converted to vans used primarily for transporting people). This does not include vehicles that have 1) a capacity of more than 12 persons total, or 2) are designed to accom-modate more than 9 persons seated rearward of the driver’s seat, or 3) have a cargo box (i.e., a pickup-bed or box) of six feet or more in interior length. Prior to Tier 2 standards, these vehicles would have been regu-lated as light heavy-duty trucks.

b Diesel MDPVs can continue to use light heavy-duty truck standards for new vehicle certification until 2008. Note that these standards are measured in grams per brake horsepower-hour (g/bhp-hr). Beginning in 2008, MDPVs must use the same on-chassis testing procedure as heavy light-duty trucks (catgories LDT3 and LDT4) and must meet standards for MDPVs. Beginning in 2009, MDPVs must meet the same standards as light heavy-duty trucks, except MDPVs are not required to meet Supplemental Federal Test Procedure standards.

c The cold CO emissions standard is measured at 20 °F (rather than 75 °F) and is applicable for a full useful life of 5-years/50,000-miles.

d Smoke opacity is expressed as a percentage for acceleration, lugging, and peak operation modes. Lugging occurs when a vehicle is carrying a load.

e Manufacturers can opt to certify vehicles for a useful life of 15 years/150,000 miles and have either 1) inter-mediate useful life standards waived or 2) receive additional NOx credits.

Continued next page

Page 329: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

310 � Chapter 4: Transportation, Energy, and the Environment

f The term “tier” refers to a level of standards for specific years. Interim 2 refers to an intermediate level of stndards that moves manufacturers toward compliance with Tier 2 standards. Tier 2 and interim Tier 2 stan-dards are established as “bins.” Each bin is a set of standards for NOx, CO, NMOG, formaldehyde, and particulates (HC and NMHC standards are dropped for Tier 2 and Interim Tier 2). Manufacturers may cer-tify any given vehicle family to any of the bins available for that vehicle class as long as the resulting sales-weighted corporate average NOx standard is met for full useful life. The Tier 2 corporate average NOx stan-dard is 0.07 grams/mile. Interim corporate-based average NOx standards are based on vehicle type. The interim corporate sales-weighted average for MDPVs is 0.6 grams/mile. Tier 2 MDPV standards will be phased in during 2008 and 2009. In 2008, 50% of MDPVs must meet Tier 2 standards; the other 50% of MDPVs must meet interim Tier 2 standards. Beginning in 2009, all MDPVs must meet Tier 2 standards.

g Diesel MDPVs are not required to meet intermediate life standards during this time period.

SOURCE40 CFR 86, Subpart A (July 1, 2000) Federal Register, Vol. 65, No. 28, pp. 6851-6858.

TABLE 4-31: Federal Exhaust Emission Certification Standards for Newly Manufactured Gasoline- and Diesel-Powered Medium-Duty Passenger Vehicles (MDPV)a,b (Grams per mile) (Continued)

Page 330: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 311

TABL

E 4-

32a:

Fed

eral

Exh

aust

Em

issi

ons

Certi

ficat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t Hea

vy-D

uty

Truc

ks (G

ram

s pe

r bra

ke h

orse

pow

er-h

our)

En

gin

e ty

pe

and

po

lluta

nt

1970

-73

1974

-78

1979

-83

1984

1985

-86

1987

1988

-89

1990

1991

-93

1994

-97

1998

-20

0320

0420

05-

0620

0720

08+

Gas

olin

eH

C +

NO

xj

1610

j

NO

x +

NM

HC

j1.

0j

NM

HC

j0.

14H

Ck

j1.

51.

91.

1j

NO

xj

10.6

6.0

5.0

4.0

j0.

20

CO

k40

2537

.114

.4P

artic

ulat

esj

0.01

Die

sel

HC

+ N

Ox

j16

10j

HC

kj

1.5

1.3

j

NO

xj

10.7

6.0

5.0

4.0

j0.

20

NO

x +

NM

HC

j

2.4l

j

NM

HC

j

0.14

CO

k40

2515

.5P

artic

ulat

esj

0.60

0.

250.

10

0.01

Sm

oke

opac

ity (a

ccel

erat

ion/

lu

ggin

g/pe

ak)a

40/2

0/j

20/1

5/50

Wei

gh

t cr

iter

ia f

or

ligh

t h

eavy

-du

ty t

ruck

sbG

VW

R o

ver 6

,000

lbs

GV

WR

ove

r 8,

500

lbs

GV

WR

8,5

01 th

roug

h 14

,000

lbs

Test

pro

ced

ure

(g

aso

line)

c9-

mod

e st

eady

-sta

teM

VM

A tr

ansi

ent

(die

sel)

c13

-mod

e st

eady

-sta

teE

PA tr

ansi

ent

Use

ful l

ife

(gas

olin

e)d

5 ye

ars/

50,0

00 m

iles

8 ye

ars/

110,

000

mile

s10

yea

rs/1

10,0

00 m

iles

Con

tinue

d ne

xt p

age

Page 331: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

312 � Chapter 4: Transportation, Energy, and the Environment

Co

mp

lete

Veh

icle

s -

(Gra

ms

per

mile

)e,f

Wei

ght r

ang

e an

d po

lluta

nt20

05-0

620

0720

08+

GV

WR

8,5

00 t

hro

ug

h 1

0,00

0 lb

s

NM

OG

g0.

28j

NM

HC

hj

0.19

5

CO

7.3

NO

x0.

90.

2

Par

ticul

ates

j0.

02H

CH

Oj

0.03

2G

VW

R 1

0,00

1 lb

s th

rou

gh

14,

000

lbs

NM

OG

g0.

33j

NM

HC

hj

0.23

0

CO

8.

1

NO

x1.

00.

4

Par

ticul

ates

j0.

02

HC

HO

j0.

040

Test

pro

cedu

rei

EPA

HD

-UD

DS

KE

Y: C

O =

car

bon

mon

oxid

e; H

C =

hyd

roca

rbon

; NO

x =

nitr

ogen

oxi

des;

NM

HC

= n

onm

etha

ne h

ydro

carb

ons;

NM

OG

= n

onm

etha

ne o

rgan

ic g

as;

HC

HO

= fo

rmal

deyh

yde.

aSm

oke

opac

ity

is e

xpre

ssed

in p

erce

ntag

e fo

r ac

cele

rati

on, l

uggi

ng, a

nd p

eak

mod

es (

acce

lera

tion

/lugg

ing/

peak

). L

uggi

ng is

whe

n a

vehi

cle

is c

arry

ing

a lo

ad.

bG

ross

veh

icle

wei

ght

rati

ng (

GV

WR

) is

the

max

imum

des

ign

load

ed w

eigh

t.c

Seve

ral t

esti

ng p

roce

dure

s ha

ve b

een

used

dur

ing

the

cour

se o

f ex

haus

t em

issi

ons

cont

rol.

A s

tead

y-st

ate

9-m

ode

test

pro

cedu

re (

13-m

ode

for

dies

el)

was

use

d fo

r 19

70-8

3 st

anda

rds.

For

198

4, e

ithe

r th

e st

eady

-sta

te t

ests

or

the

U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y (E

PA)

tran

sien

t te

st p

roce

dure

cou

ld b

e us

ed. F

or

dies

els,

the

EPA

tra

nsie

nt t

est

was

req

uire

d fr

om 1

985

to t

he p

rese

nt. F

or g

asol

ine-

pow

ered

veh

icle

s, e

ithe

r th

e E

PA o

r th

e M

otor

Veh

icle

Man

ufac

ture

rs

Ass

ocia

tion

(M

VM

A)

tran

sien

t te

st p

roce

dure

cou

ld b

e us

ed d

urin

g 19

85-8

6, a

nd t

he M

VM

A p

roce

dure

was

req

uire

d th

erea

fter

. d

Em

issi

ons

stan

dard

s ap

ply

to t

he u

sefu

l lif

e of

the

veh

icle

. Use

ful l

ife

was

5 y

ears

/50,

000

mile

s th

roug

h 19

83 a

nd b

ecam

e 8

year

s/11

0,00

0 m

iles

begi

nnin

g in

m

odel

yea

r 19

85. 1

984

was

a t

rans

itio

nal y

ear

in w

hich

veh

icle

s co

uld

mee

t th

e ol

der

stan

dard

(an

d te

st p

roce

dure

) or

the

new

er o

ne. U

sefu

l lif

e re

quir

emen

t fo

r ga

solin

e-po

wer

ed t

ruck

s m

eeti

ng N

Ox

stan

dard

s fo

r 19

98 a

nd a

fter

is 1

0 ye

ars/

110,

000

mile

s. S

tart

ing

in 2

004,

the

use

ful l

ife

will

be

10 y

ears

/110

,000

m

iles.

The

use

ful l

ife

requ

irem

ents

for

hea

vy-d

uty

dies

el t

ruck

sta

ndar

ds a

re m

ore

com

plex

and

var

y by

veh

icle

wei

ght,

pol

luta

nt, t

est

proc

edur

e, a

nd y

ear.

Con

sult

the

U.S

. Cod

e of

Fed

eral

Reg

ulat

ions

for

fur

ther

info

rmat

ion.

eSt

arti

ng in

200

5, c

ompl

ete

gaso

line

heav

y-du

ty v

ehic

les

of 1

4,00

0 lb

s G

VW

R o

r be

low

will

hav

e to

be

chas

sis

cert

ifie

d.

fR

equi

red

for

com

plet

e ga

solin

e he

avy-

duty

veh

icle

s on

ly.

gT

he m

anuf

actu

rer

has

the

opti

on o

f sa

tisf

ying

thi

s st

anda

rd b

y m

easu

rem

ent

of n

onm

etha

ne h

ydro

carb

ons

or t

otal

hyd

roca

rbon

s.h

The

man

ufac

ture

r ha

s th

e op

tion

of

sati

sfyi

ng t

his

stan

dard

by

mea

sure

men

t of

non

met

hane

org

anic

gas

or

tota

l hyd

roca

rbon

s.i

Thi

s te

st p

roce

dure

cur

rent

ly e

xist

s to

tes

t co

mpl

ete

vehi

cles

tha

t ha

ve b

een

opti

onal

ly c

hass

is c

erti

fied

. How

ever

, cha

ssis

cer

tifi

cati

on is

not

req

uire

d un

til 2

005.

TABL

E 4-

32a:

Fed

eral

Exh

aust

Em

issi

ons

Certi

ficat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t Hea

vy-D

uty

Truc

ks (G

ram

s pe

r bra

ke h

orse

pow

er-h

our)

(Con

tinue

d)

Page 332: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 313

jN

o st

anda

rd s

et.

kA

ltho

ugh

emis

sion

s st

anda

rds

for

HC

and

CO

wer

e in

eff

ect

for

thes

e ye

ars,

the

y w

ere

not

mea

sure

d in

gra

ms

per

brak

e ho

rsep

ower

-hou

r an

d ar

e, t

here

fore

, in

com

pati

ble

wit

h th

e en

gine

cer

tifi

cati

on s

ecti

on o

f th

is t

able

.l

Veh

icle

s ca

n m

eet

a N

MH

C +

NO

x st

anda

rd o

f 2.

5 g/

bhp-

h, g

iven

the

y m

eet

a N

MH

C s

tand

ard

of n

o m

ore

than

0.5

g/b

hp-h

.

NO

TE

Tabl

es 4

-32a

and

4-3

2b a

re id

enti

cal f

or h

eavy

-dut

y di

esel

eng

ines

.

SOU

RC

ES

40 C

FR 8

6, E

lect

roni

c C

ode

of F

eder

al R

egul

atio

ns, I

nter

net

site

at

http

://w

ww

.acc

ess.

gpo.

gov/

nara

/cfr

/cfr

htm

l_00

/Tit

le_4

0/40

cfr8

6_00

.htm

l as

of O

ct. 9

, 200

1.U

.S. E

nvir

onm

enta

l Pro

tect

ion

Age

ncy,

Off

ice

of T

rans

port

atio

n an

d A

ir Q

ualit

y, p

erso

nal c

omm

unic

atio

n, O

ctob

er 2

001.

TABL

E 4-

32a:

Fed

eral

Exh

aust

Em

issi

ons

Certi

ficat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Ligh

t Hea

vy-D

uty

Truc

ks (G

ram

s pe

r bra

ke h

orse

pow

er-h

our)

(Con

tinue

d)

Page 333: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

314 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-32

b: F

eder

al E

xhau

st E

mis

sion

s Ce

rtific

atio

n St

anda

rds

for N

ewly

Man

ufac

ture

d Ga

solin

e- a

nd D

iese

l-Pow

ered

Hea

vy-D

uty

Truc

ks (G

ram

s pe

r bra

ke h

orse

pow

er-h

our)

En

gin

e ty

pe

and

po

lluta

nt

1970

-73

19

74-

7819

79-

8319

84

1985

-86

19

8719

88-

8919

9019

91-

9319

94-

9719

98-

2003

2004

20

05-

2006

2007

2008

+G

asol

ine

HC

+ N

Ox

e16

10e

NO

x +

NM

HC

e1.

0e

NM

HC

e0.

14H

Cf

e1.

51.

9e

NO

xe

10.6

6.0

5.0

4.0

e0.

20

CO

f40

2537

.114

.4P

artic

ulat

ese

0.01

Die

sel

HC

+ N

Ox

e16

10e

HC

fe

1.5

1.3

e

NO

xe

10.7

6.0

5.0

4.0

e0.

20

NO

x +

NM

HC

e2.

4ge

NM

HC

0.14

CO

f40

2515

.5P

artic

ulat

ese

0.60

0.

250.

10

0.01

Sm

oke

opac

ity (a

ccel

erat

ion/

lugg

ing/

peak

)a40

/20e

20/1

5/50

Wei

gh

t cr

iter

ia f

or

hea

vy

hea

vy-d

uty

tru

cksb

GV

WR

ove

r 6,

000

lbs

GV

WR

ove

r 8,

500

lbs

GV

WR

ove

r 14

,000

lbs

Test

pro

ced

ure

(g

aso

line)

c13

-mod

e st

eady

-sta

teM

VM

A tr

ansi

ent

(die

sel)

c13

-mod

e st

eady

-sta

teE

PA tr

ansi

ent

Use

ful l

ife

(gas

olin

e)d

5 ye

ars/

50,0

00 m

iles

8 ye

ars/

110,

000

mile

s 10

yea

rs/1

10,0

00 m

iles

KE

Y: C

O =

car

bon

mon

oxid

e; H

C =

hyd

roca

rbon

; NO

x =

nitr

ogen

oxi

des;

NM

HC

= n

onm

etha

ne h

ydro

carb

ons.

aSm

oke

opac

ity

is e

xpre

ssed

in p

erce

ntag

e fo

r ac

cele

rati

on, l

uggi

ng, a

nd p

eak

mod

es (

acce

lera

tion

/lugg

ing/

peak

). L

uggi

ng is

whe

n a

vehi

cle

is c

arry

ing

a lo

adb

Gro

ss v

ehic

le w

eigh

t ra

ting

(G

VW

R)

is t

he m

axim

um d

esig

n lo

aded

wei

ght.

cSe

vera

l tes

ting

pro

cedu

res

have

bee

n us

ed d

urin

g th

e co

urse

of

exha

ust

emis

sion

s co

ntro

l. A

ste

ady-

stat

e 9-

mod

e te

st p

roce

dure

(13

-mod

e fo

r di

esel

) was

use

d fo

r 19

70-8

3 st

anda

rds.

For

198

4, e

ithe

r th

e st

eady

-sta

te t

ests

or

the

U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y (E

PA)

tran

sien

t te

st p

roce

dure

cou

ld b

e us

ed. F

or

dies

els,

the

EPA

tra

nsie

nt t

est

was

req

uire

d fr

om 1

985

to t

he p

rese

nt. F

or g

asol

ine-

pow

ered

veh

icle

s, e

ithe

r th

e E

PA o

r th

e M

otor

Veh

icle

Man

ufac

ture

rs

Ass

ocia

tion

(M

VM

A)

tran

sien

t te

st p

roce

dure

cou

ld b

e us

ed d

urin

g 19

85-8

6, a

nd t

he M

VM

A p

roce

dure

was

req

uire

d th

erea

fter

.

Page 334: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 315

dE

mis

sion

s st

anda

rds

appl

y to

the

use

ful l

ife

of t

he v

ehic

le. U

sefu

l lif

e w

as 5

yea

rs/5

0,00

0 m

iles

thro

ugh

1983

and

bec

ame

8 ye

ars/

110,

000

mile

s be

ginn

ing

in

mod

el y

ear

1985

. 198

4 w

as a

tra

nsit

iona

l yea

r in

whi

ch v

ehic

les

coul

d m

eet

the

olde

r st

anda

rd (

and

test

pro

cedu

re)

or t

he n

ewer

one

. Use

ful l

ife

requ

irem

ent

for

gaso

line-

pow

ered

tru

cks

mee

ting

NO

x st

anda

rds

for

1998

and

aft

er is

10

year

s/11

0,00

0 m

iles.

Sta

rtin

g in

200

4, t

he u

sefu

l lif

e w

ill b

e 10

yea

rs/1

10,0

00

mile

s. T

he u

sefu

l lif

e re

quir

emen

ts f

or h

eavy

-dut

y di

esel

tru

ck s

tand

ards

are

mor

e co

mpl

ex a

nd v

ary

by v

ehic

le w

eigh

t, p

ollu

tant

, tes

t pr

oced

ure,

and

yea

r. C

onsu

lt t

he U

.S. C

ode

of F

eder

al R

egul

atio

ns f

or f

urth

er in

form

atio

n.

eN

o st

anda

rd s

et.

fA

ltho

ugh

emis

sion

s st

anda

rds

for

HC

and

CO

wer

e in

eff

ect

for

thes

e ye

ars,

the

y w

ere

not

mea

sure

d in

gra

ms

per

brak

e ho

rsep

ower

-hou

r an

d ar

e, t

here

fore

, in

com

pati

ble

wit

h th

is t

able

. g

Veh

icle

s ca

n m

eet

a N

MH

C +

NO

x st

anda

rd o

f 2.

5 g/

bhp-

h, g

iven

the

y m

eet

a N

MH

C s

tand

ard

of n

o m

ore

than

0.5

g/b

hp-h

.

NO

TE

STa

bles

4-3

2a a

nd 4

-32b

are

iden

tica

l for

hea

vy-d

uty

dies

el e

ngin

es.

SOU

RC

ES

40 C

FR 8

6, E

lect

roni

c C

ode

of F

eder

al R

egul

atio

ns, i

nter

net

site

at

http

://w

ww

.acc

ess.

gpo.

gov/

nara

/cfr

/cfr

htm

l_00

/Tit

le_4

0/40

cfr8

6_00

.htm

l as

of O

ct. 9

, 200

1.

U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y, O

ffic

e of

Tra

nspo

rtat

ion

and

Air

Qua

lity,

per

sonn

al c

omm

unic

atio

n, O

ct. 2

001.

TABL

E 4-

32b:

Fed

eral

Exh

aust

Em

issi

ons

Certi

ficat

ion

Stan

dard

s fo

r New

ly M

anuf

actu

red

Gaso

line-

and

Die

sel-P

ower

ed

Heav

y-Du

ty T

ruck

s (G

ram

s pe

r bra

ke h

orse

pow

er-h

our)

(Con

tinue

d)

Page 335: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

316 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-33

: Fe

dera

l Exh

aust

Em

issi

ons

Stan

dard

s fo

r New

ly M

anuf

actu

red

Mot

orcy

cles

a (g

/km

)b

Po

lluta

nt

En

gin

e d

isp

lace

men

tE

mis

sio

ns

pri

or

to c

on

tro

lsc

1978

-79

1980

-89

1990

-96

1997

+G

asol

ine-

pow

ered

HC

50-1

69 c

c1.

0-13

.85

170-

749

cc5

+ 0.

0155

(D-1

70)

5.0

750

cc a

nd g

reat

er14

5.0

CO

50 c

c an

d gr

eate

r11

.0-3

1.0

1712

Met

hano

l-pow

ered

Tota

l HC

equ

ival

ent

50 c

c an

d gr

eate

r5.

0C

O50

cc

and

grea

ter

12N

atur

al g

as a

nd L

PG

-pow

ered

HC

50 c

c an

d gr

eate

r5.

0C

O50

cc

and

grea

ter

12U

sefu

l life

(Cla

ss 1

)50

-169

cc

5 ye

ars

or 1

2,00

0 km

(7,

456

mi),

whi

chev

er c

omes

firs

t

(C

lass

2)

170-

279

cc5

year

s or

18,

000

km (

11,1

85 m

i), w

hich

ever

com

es fi

rst

(C

lass

3)

280

cc a

nd g

reat

er5

year

s or

30,

000

km (

18,6

41 m

i), w

hich

ever

com

es fi

rst

KE

Y: c

c =

cubi

c ce

ntim

eter

s; D

= e

ngin

e di

spla

cem

ent i

n cu

bic

cent

imet

ers

(cc)

; g =

gra

m; h

= h

our;

HC

= h

ydro

carb

on; k

g =

kilo

gram

; km

= k

ilom

eter

; lb

= p

ound

; LP

G =

liqu

efie

d pe

trol

eum

gas

; mi =

mile

s; m

ph =

mile

s pe

r ho

ur.

aA

mot

orcy

cle

is a

ny m

otor

veh

icle

wit

h a

head

light

, tai

lligh

t, a

nd s

topl

ight

, and

hav

ing

two

or t

hree

whe

els

and

a cu

rb m

ass

less

tha

n or

equ

al t

o 79

3 kg

(1

,749

lb).

(T

he li

mit

was

680

kg,

or

1,49

9 lb

pri

or t

o th

e 19

98 m

odel

yea

r.) A

mot

orcy

cle

is e

xclu

ded

from

the

sta

ndar

ds if

it h

as a

dis

plac

emen

t of

less

tha

n 50

cc

(3.1

cub

ic in

ches

) or

if w

ith

a 80

kg

(176

lb)

driv

er it

can

not

star

t fr

om a

dea

d st

op u

sing

onl

y th

e en

gine

or

exce

ed a

spe

ed o

f 40

km

/h (

25 m

ph)

on a

le

vel,

pave

d su

rfac

e.

bR

eade

rs w

ho w

ish

to c

ompa

re m

otor

cycl

e re

gula

tion

s w

ith

pass

enge

r ca

r an

d tr

uck

regu

lati

ons

shou

ld n

ote

that

5.0

g/k

m =

8.0

g/m

i and

12

g/km

= 1

9 g/

mi.

The

for

mul

a fo

r 19

78-7

9 H

C e

mis

sion

s by

mot

orcy

cles

170

-749

cc

beco

mes

, in

g/m

i., a

ppro

xim

atel

y 8.

0 +

0.02

5(D

-170

).

cEs

timat

es o

f em

issi

ons

rate

s pr

ior

to c

ontr

ols

are

rang

es o

f em

issi

ons

for

all e

ngin

e di

spla

cem

ents

. Not

ava

ilabl

e fo

r m

otor

cycl

es p

ower

ed b

y fu

els

othe

r th

an g

asol

ine.

SOU

RC

E40

CFR

86

Subp

art

E (

July

1, 2

000)

. U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y, O

ffic

e of

Air

and

Rad

iati

on, p

erso

nal c

omm

unic

atio

n, A

ug. 2

8, 2

001.

Page 336: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 317

TABL

E 4-

34: F

eder

al E

xhau

st E

mis

sion

s St

anda

rds

for N

ewly

Man

ufac

ture

d an

d In

-Use

Airc

raft

Engi

nesa

,b

En

gin

e ty

pec

Po

lluta

nt

Year

of

eng

ine

man

ufa

ctu

re

1974

-75

1976

-77

1978

-82

1983

1984

-96

1997

-99

2000

+Tu

rbop

rop

Sm

oke

g 187

(rO

)-0.

168

Cla

ss T

3 tu

rboj

et

CO

(g/

kN)d

118

HC

(g/

kN)d

19.6

NO

x (g

/kN

)di 4

0 +

2(r

PR

) j 3

2 +

1.6

(rP

R)

Sm

oke

25h 8

3.6(

rO)-

0.27

4

Cla

ss T

8 tu

rboj

et

CO

(g/

kN)d

118

HC

(g/

kN)d

19.6

NO

x (g

/kN

)di 4

0 +

2(r

PR

)j 3

2 +

1.6

(rP

R)

Sm

oke

30h 8

3.6(

rO)-

0.27

4

Turb

ofan

and

turb

ojet

eng

ines

oth

er th

an C

lass

es T

3, T

8, a

nd T

SS

CO

(g/

kN)d

118

HC

(g/

kN)d

19.6

NO

x (g

/kN

)di 4

0 +

2(r

PR

) j 3

2 +

1.6

(rP

R)

Sm

oke

e 83.

6(rO

)-0.

274

f 83.

6(rO

)-0.

274

h 83.

6(rO

)-0.

274

TS

S e

ngin

es (

supe

rson

ic a

ircra

ft en

gine

s)H

C (

g/kN

)14

0(0.

92)r

PR

Sm

oke

h 83.

6(rO

)-0.

274

KE

Y: C

O =

car

bon

mon

oxid

e; g

= g

ram

; g/k

N =

gra

ms

of p

ollu

tant

per

kilo

new

tons

of t

hrus

t; H

C =

hyd

roca

rbon

, kN

= k

ilone

wto

ns; k

W =

kilo

wat

t; N

Ox

= n

itrog

en

oxid

es; r

O =

rat

ed o

utpu

t, w

hich

is th

e m

axim

um p

ower

or

thru

st a

vaila

ble

for

take

off;

rPR

= r

ated

pre

ssur

e ra

tio.

aFe

dera

l sta

ndar

ds a

pply

to

all p

lane

s op

erat

ing

in t

he U

nite

d St

ates

, reg

ardl

ess

of w

here

the

y w

ere

man

ufac

ture

d. T

his

tabl

e pr

imar

ily d

ispl

ays

exha

ust

emis

-si

ons

stan

dard

s fo

r ne

wly

man

ufac

ture

d ai

rcra

ft e

ngin

es. U

nles

s ot

herw

ised

not

ed, e

mis

sion

s in

thi

s ta

ble

appl

y to

new

air

craf

t en

gine

s on

ly.

bH

C, C

O, a

nd N

Ox

are

mea

sure

d us

ing

the

Inte

rnat

iona

l Civ

il A

viat

ion

Org

aniz

atio

n (I

CA

O) G

aseo

us E

mis

sion

s Te

st P

roce

dure

. Sm

oke

is m

easu

red

usin

g th

e IC

AO

Sm

oke

Em

issi

on T

est

Proc

edur

e. T

here

is n

o us

eful

life

or

war

rant

y pe

riod

for

pur

pose

s of

com

plia

nce

wit

h em

issi

ons

stan

dard

s.c

Exa

mpl

es o

f co

mm

erci

al a

ircr

aft

that

use

eac

h en

gine

typ

e in

clud

e th

e fo

llow

ing:

Cla

ss T

3 tu

rboj

et–B

oein

g 70

7-32

0s (

Cla

ss T

3 en

gine

s ar

e cu

rren

tly

out

of p

rodu

ctio

n, t

houg

h so

me

are

still

in u

se).

Cla

ss T

8 tu

rboj

et–B

oein

g 72

7s a

nd 7

37-2

00s,

and

McD

onne

ll-D

ougl

as M

D-8

0s a

nd D

C-9

s.Tu

rbof

ans

and

turb

ojet

s ot

her

than

T3,

T8,

and

TSS

–Boe

ing

747-

400s

, 757

s, 7

67-2

00s

and

777s

, and

McD

onne

ll-D

ougl

as M

D-1

1s; C

anad

air

Reg

iona

l Jet

s.Tu

rbop

rops

–Use

d m

ostl

y in

reg

iona

l air

liner

s su

ch a

s A

TR

72,

Dor

nier

328

, and

Saa

b SF

340

.T

SS–B

riti

sh A

ircr

aft

Cor

p./A

eros

pati

ale

Con

cord

e (t

he o

nly

supe

rson

ic a

ircr

aft

curr

entl

y us

ed in

com

mer

cial

civ

il av

iati

on).

dA

pplie

s to

eng

ines

wit

h rO

>26.

7 kN

.C

ontin

ued

next

pag

e

Page 337: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

318 � Chapter 4: Transportation, Energy, and the Environment

eE

ngin

es w

ith

rate

d ou

tput

rO

>=12

9 kN

. Thi

s is

als

o th

e in

-use

sta

ndar

d fo

r al

l suc

h ai

rcra

ft e

ngin

es.

fE

ngin

es w

ith

rO>=

1,00

0 kW

.g

Eng

ines

wit

h rO

<26.

7 kN

. Sm

oke

num

ber

may

not

exc

eed

50.

hE

ngin

es m

anuf

actu

red

on o

r af

ter

Jan.

1, 1

984

and

wit

h rO

>=26

.7 k

N. S

mok

e nu

mbe

r m

ay n

ot e

xcee

d 50

.i

Eff

ecti

ve a

s of

Jul

y 7,

199

7. T

his

stan

dard

app

lies

only

to

thos

e en

gine

s of

a t

ype

or m

odel

for

whi

ch t

he d

ate

of m

anuf

actu

re o

f th

e fi

rst

indi

vidu

al p

rodu

c-ti

on m

odel

was

on

or b

efor

e D

ec. 3

1, 1

995

and

for

whi

ch t

he d

ate

of m

anuf

actu

re o

f th

e in

divi

dual

eng

ine

was

on

or b

efor

e D

ec. 3

1, 1

999.

jE

ffec

tive

as

of J

uly

7, 1

997.

Thi

s st

anda

rd a

lso

appl

ies

to e

ngin

es o

f a

type

or

mod

el f

or w

hich

the

dat

e of

man

ufac

ture

of

the

firs

t in

divi

dual

pro

duct

ion

mod

el w

as a

fter

Dec

. 31,

199

5 an

d fo

r w

hich

the

dat

e of

man

ufac

ture

of

the

indi

vidu

al e

ngin

e w

as a

fter

Dec

. 31,

199

9.

SOU

RC

E40

CFR

87,

Sub

part

s A

-D (

July

1, 2

000)

, and

U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y, O

ffic

e of

Air

and

Rad

iati

on, p

erso

nal c

omm

unic

atio

n, A

ug. 2

8, 2

001.

TABL

E 4-

34: F

eder

al E

xhau

st E

mis

sion

s St

anda

rds

for N

ewly

Man

ufac

ture

d an

d In

-Use

Airc

raft

Engi

nesa

,b (C

ontin

ued)

Page 338: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 319

TABL

E 4-

35: F

eder

al E

xhau

st E

mis

sion

s St

anda

rds

for L

ocom

otiv

esa

(g/b

hph

exce

pt w

here

not

ed)

Po

lluta

nt

Du

ty-c

ycle

f

Tie

r 0

Tie

r 1

Tie

r 2

1973

-200

1h

2002

-200

420

05+

Tota

l HC

bLi

ne-h

aul

Sw

itch

1.00

2.

10

0.55

1.

20

0.30

0.

60

Non

met

hane

HC

cLi

ne-h

aul

Sw

itch

1.00

2.

10

0.55

1.

20

0.30

0.

60

Tota

l HC

equ

ival

entd

Line

-hau

lS

witc

h1.

00

2.10

0.

55

1.20

0.

30

0.60

C

OLi

ne-h

aul

Sw

itch

5.0

8.0

2.2

2.5

1.5

2.4

Line

-hau

l (op

tiona

l sta

ndar

d)g

Sw

itch

(opt

iona

l sta

ndar

d)g

10.0

12

.0

10.0

12

.0

10.0

12

.0

NO

xLi

ne-h

aul

Sw

itch

9.5

14.0

7.

4 11

.0

5.5

8.1

Par

ticul

ates

Line

-hau

lS

witc

h0.

60

0.72

0.

45

0.54

0.

20

0.24

Line

-hau

l (op

tiona

l sta

ndar

d)g

Sw

itch

(opt

iona

l sta

ndar

d)g

0.30

0.

36

0.22

0.

27

0.10

0.

12

Sm

oke

opac

ity(%

opa

city

-nor

mal

ized

)eS

tead

y-st

ate

30-s

econ

d pe

ak3-

seco

nd p

eak

30%

40%

50%

25%

40%

50%

20%

40%

50%

Use

ful l

ife7.

5 M

Wh

per

hp o

r 10

yea

rsi,j

KE

Y: b

hp =

bra

ke h

orse

pow

er; b

hph

= br

ake

hors

epow

er h

our;

CO

= c

arbo

n m

onox

ide;

g =

gra

m; h

= h

our;

HC

= h

ydro

carb

on; M

W =

meg

awat

t; M

Wh

= m

egaw

att

hour

; NO

x =

nitr

ogen

oxi

des;

PM

= p

artic

ulat

e m

atte

r.

aL

ocom

otiv

e st

anda

rds

appl

y to

bot

h ne

w a

nd r

eman

ufac

ture

d lo

com

otiv

es, e

xcep

t as

not

edb

Tota

l HC

sta

ndar

ds a

pply

to

loco

mot

ives

pow

ered

by

any

fuel

exc

ept

alco

hol o

r na

tura

l gas

or

fuel

s pr

imar

ily c

ompo

sed

of a

lcoh

ol o

r na

tura

l gas

.c

Non

met

hane

HC

sta

ndar

ds a

pply

to

loco

mot

ives

pow

ered

by

natu

ral g

as o

r fu

els

that

are

pri

mar

ily c

ompo

sed

of n

atur

al g

as.

dTo

tal H

C e

quiv

alen

t st

anda

rds

appl

y to

loco

mot

ives

pow

ered

by

alco

hol o

r fu

els

that

are

pri

mar

ily c

ompo

sed

of a

lcoh

ol.

eSm

oke

opac

ity

valu

es a

re n

orm

aliz

ed t

o be

equ

ival

ent

to a

1 m

eter

pat

h le

ngth

fT

he li

ne-h

aul d

uty-

cycl

e is

wei

ghte

d to

war

d op

erat

ion

in t

he h

ighe

r po

wer

not

ches

and

is t

ypic

al o

f lin

e-ha

ul a

pplic

atio

ns. T

he s

wit

ch d

uty-

cycl

e is

typ

ical

of

swit

ch o

pera

tion

s, w

ith

mor

e em

phas

is o

n id

le a

nd lo

w p

ower

not

ch e

mis

sion

s. L

ocom

otiv

es g

ener

ally

are

req

uire

d to

mee

t th

e st

anda

rds

for

both

dut

y-cy

cles

. How

ever

, Tie

r 0

dedi

cate

d sw

itch

loco

mot

ives

rat

ed a

t 2,

300

hp o

r le

ss a

re o

nly

requ

ired

to

mee

t th

e sw

itch

dut

y-cy

cle

stan

dard

.g

Man

ufac

ture

rs a

nd r

eman

ufac

ture

rs c

an e

lect

to

com

ply

wit

h th

e al

tern

ate

CO

and

PM

sta

ndar

ds. H

owev

er, a

man

ufac

ture

r or

rem

anuf

actu

rer

usin

g th

e al

tern

ate

stan

dard

s m

ust

mee

t bo

th t

he C

O a

nd t

he P

M s

tand

ards

. Thi

s al

low

s lo

com

otiv

es t

o ha

ve h

ighe

r C

O e

mis

sion

s in

exc

hang

e fo

r m

eeti

ng m

ore

stri

n-ge

nt P

M s

tand

ards

. h

Tie

r 0

stan

dard

s ap

ply

to a

ll ne

w p

rodu

ctio

n lo

com

otiv

es in

the

200

1 m

odel

yea

r, as

wel

l as

for

any

1994

thr

ough

200

1 m

odel

yea

r fr

eigh

t lo

com

otiv

es

rem

anuf

actu

red

on o

r af

ter

Jan.

1, 2

001.

The

y al

so a

pply

to

all o

ther

197

3 th

roug

h 20

01 m

odel

yea

r lo

com

otiv

es r

eman

ufac

ture

d on

or

afte

r Ja

n. 1

, 200

2.

Oth

er p

hase

-in

opti

ons

are

also

ava

ilabl

e fo

r m

anuf

actu

rers

(se

e 40

CFR

92

for

mor

e de

tail

on p

hase

-in

opti

ons)

.i

For

Tie

r 0

loco

mot

ives

not

equ

ippe

d w

ith

MW

/h m

eter

s, t

he m

inim

um u

sefu

l lif

e is

750

,000

mile

s or

10

year

s, w

hich

ever

com

es f

irst

. j

Thi

s is

a m

inim

um s

tand

ard.

The

cer

tify

ing

man

ufac

ture

r or

rem

anuf

actu

rer

mus

t sp

ecif

y a

long

er u

sefu

l lif

e if

the

loco

mot

ive

or lo

com

otiv

e en

gine

is

desi

gned

to

last

long

er t

han

the

appl

icab

le m

inim

um u

sefu

l lif

e.

SOU

RC

E40

CFR

92,

Jul

y 1,

200

0, a

nd U

.S. E

nvir

onm

enta

l Pro

tect

ion

Age

ncy,

Off

ice

of A

ir a

nd R

adia

tion

, per

sona

l com

mun

icat

ion,

Aug

. 28,

200

1.

Page 339: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

320 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-36

: Fed

eral

Exh

aust

Em

issi

ons

Stan

dard

s fo

r New

ly M

anuf

actu

red

Mar

ine

Spar

k-Ig

nitio

n Ou

tboa

rd, P

erso

nal W

ater

craf

t,a

and

Jet-B

oat E

ngin

esb

(g/k

Wh)

Year

HC

+ N

Ox

(g/k

Wh

)

War

ran

ty p

erio

dU

sefu

l lif

ecR

ated

po

wer

< 4

.3 k

WR

ated

pow

er >

= 4.

3 kW

c,d

1998

278.

00

(0.9

17 x

(15

1 +

557

/P0.

9 ))

+ 2

.44

1 yr

for

all e

mis

sion

s-re

late

d co

mpo

nent

s

Out

boar

d en

gine

s:35

0 hr

/10

yr

Per

sona

l wat

ercr

aft:

350

hr/5

yr

1999

253.

00

(0.8

33 x

(15

1 +

557

/P0.

9 ))

+ 2

.89

2000

228.

00

(0.7

50 x

(15

1 +

557

/P0.

9 ))

+ 3

.33

2001

204.

00

(0.6

67 x

(15

1 +

557

/P0.

9 ))

+ 3

.78

1 yr

for

all e

mis

sion

-rel

ated

com

pone

nts;

3 yr

/200

hr

for

spec

ified

maj

orem

issi

ons

cont

rol c

ompo

nent

s20

0217

9.00

(0

.583

x (

151

+ 5

57/P

0.9 )

) +

4.2

220

0315

5.00

(0

.500

x (

151

+ 5

57/P

0.9 )

) +

4.6

720

0413

0.00

(0

.417

x (

151

+ 5

57/P

0.9 )

) +

5.1

12

yr/2

00 h

r fo

r al

l em

issi

ons-

rela

ted

com

pone

nts;

3 y

r/20

0 hr

for

spec

ified

maj

or e

mis

sion

s co

ntro

l com

pone

nts

2005

105.

00

(0.3

33 x

(15

1 +

557

/P0.

9 ))

+ 5

.56

2006

+81

.00

(0.2

50 x

(15

1 +

557

/P0.

9 ))

+ 6

.00

KE

Y: g

= g

ram

; hr

= h

our;

HC

= h

ydro

carb

on; h

p =

hors

epow

er; k

W =

kilo

wat

t; kW

h =

kilo

wat

t hou

r; N

Ox

= n

itrog

en o

xide

; P =

ave

rage

pow

er; y

r =

year

.

aT

he s

tand

ards

for

per

sona

l wat

ercr

aft

did

not

go in

to e

ffec

t un

til 1

999,

alt

houg

h th

e st

anda

rd w

ent

into

eff

ect

for

outb

oard

eng

ines

in 1

998.

bT

he s

tand

ards

app

ly t

o m

arin

e sp

ark-

igni

tion

out

boar

d, p

erso

nal w

ater

craf

t, a

nd je

t-bo

at e

ngin

es o

nly.

The

re a

re c

urre

ntly

no

fede

ral s

tand

ards

for

mar

ine

spar

k-ig

niti

on s

tern

driv

e/in

boar

d en

gine

s (p

revi

ousl

y pr

opos

ed s

tand

ards

hav

e no

t be

en f

inal

ized

). M

arin

e co

mpr

essi

on-i

gnit

ion

engi

nes

unde

r 50

hp

are

cov-

ered

und

er t

he p

ropo

sed

nonr

oad

com

pres

sion

-ign

itio

n en

gine

sta

ndar

ds. F

eder

al s

tand

ards

are

in d

evel

opm

ent

for

mar

ine

com

pres

sion

-ign

itio

n en

gine

s ov

er

50 h

p.

cA

s an

exa

mpl

e, t

he s

tand

ards

for

an

outb

oard

eng

ine

of 1

25 h

p (j

ust

over

93

kW)

wou

ld b

e 14

9.53

g/k

Wh

in 1

998,

123

.63

g/kW

h in

200

0, 9

7.74

g/k

Wh

in

2002

, 72.

00 g

/kW

h in

200

4, a

nd 4

6.10

g/k

Wh

in 2

006.

dA

ll em

issi

ons

stan

dard

s m

ust

be m

et f

or t

he u

sefu

l lif

e of

the

eng

ine.

NO

TE

P =

the

aver

age

pow

er o

f th

e en

gine

fam

ily in

kilo

wat

ts (

sale

s-w

eigh

ted)

.

SOU

RC

E40

CFR

91

July

1, 2

000

editi

on, p

p. 3

01-3

02, 3

98, a

nd U

.S. E

nvir

onm

enta

l Pro

tect

ion

Age

ncy,

Off

ice

of A

ir a

nd R

adia

tion,

per

sona

l com

mun

icat

ion,

Aug

. 28,

200

1.

Page 340: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 321

TABL

E 4-

37: T

ier 2

Fed

eral

Exh

aust

Em

issi

ons

Stan

dard

s fo

r New

ly M

anuf

actu

red

Com

mer

cial

Mar

ine

Com

pres

sion

-Igni

tion

Engi

nesa

,b

En

gin

eca

teg

ory

cD

isp

lace

men

t(l

iter

s/cy

lind

er)

Rat

ed p

ow

er(k

W)

Year

NO

x +

TH

C(g

/kW

-hr)

PM

(g/k

W-h

r)C

O(g

/kW

-hr)

Use

ful l

ifed

War

ran

ty p

erio

d1

< 0

.90.

9 to

< 1

.21.

2 to

< 2

.52.

5 to

< 5

.037

kW

and

abo

ve

2005

2004

2004

2007

7.5

7.2

7.2

7.2

0.40

0.30

0.20

0.20

5.0

10 y

rs o

r 10

,000

hrs

op

erat

ion

5 yr

s or

5,0

00 h

rs

oper

atio

n

25.

0 to

< 1

5.0

15.0

to <

20.

015

.0 to

< 2

0.0

20.0

to <

25.

025

.0 to

< 3

0.0

37 k

W a

nd a

bove

37 k

W to

< 3

,300

kW

3,30

0 kW

and

abo

ve37

kW

and

abo

ve37

kW

and

abo

ve

2007

7.8

8.7

9.8

9.8

11.0

0.27

0.50

0.50

0.50

0.50

5.0

10 y

rs o

r 20

,000

hrs

op

erat

ion

5 yr

s or

10,

000

hrs

oper

atio

n

330

and

abo

ve37

kW

and

abo

veN

o T

ier

2 em

issi

ons

stan

dard

s ha

ve b

een

set f

or C

ateg

ory

3 co

mm

erci

al m

arin

e ve

ssel

s.

KE

Y: C

O =

car

bon

mon

oxid

e; g

/kW

-hr

= g

ram

per

kilo

wat

t-ho

ur; h

rs =

hou

rs; k

W =

kilo

wat

t; N

Ox

= n

itrog

en o

xide

s; P

M =

par

ticul

ate

mat

ter;

TH

C =

tota

l hyd

roca

rbon

s;

yrs

= y

ears

.

aT

ier

2 em

issi

ons

stan

dard

s es

tabl

ishe

d by

Con

gres

s ap

ply

to c

omm

erci

al c

ompr

essi

on-i

gnit

ion

(die

sel)

eng

ines

wit

h a

pow

er r

atin

g of

at

leas

t 37

kW

. Bot

h pr

o-pu

lsio

n an

d au

xilia

ry e

ngin

es a

re c

over

ed u

nder

the

se s

tand

ards

, but

land

-bas

ed e

ngin

es u

sed

in p

orta

ble

auxi

liary

equ

ipm

ent

mus

t m

eet

stan

dard

s fo

r la

nd-

base

d en

gine

s. S

mal

ler

com

pres

sion

-ign

itio

n en

gine

s ar

e co

vere

d un

der

a se

para

te r

ule.

The

U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y (E

PA)

also

inte

nds

to r

egu-

late

rec

reat

iona

l mar

ine

dies

el e

ngin

e em

issi

ons

unde

r a

sepa

rate

rul

e an

d is

est

ablis

hing

pro

visi

ons

to a

llow

exe

mpt

ions

for

cat

egor

y 1

and

2 en

gine

s us

ed a

s au

xilia

ry e

ngin

es in

U.S

.-fl

agge

d ve

ssel

s en

gage

d in

for

eign

tra

de o

r ov

erse

as o

pera

tion

s at

leas

t 75

per

cent

of

the

tim

e (i

.e.,

oper

atio

n w

ill o

ccur

mor

e th

an

320

naut

ical

kilo

met

ers

outs

ide

the

Uni

ted

Stat

es, n

ot in

clud

ing

trip

s be

twee

n U

.S. p

orts

in A

lask

a, H

awai

i, th

e co

ntin

enta

l Uni

ted

Stat

es, o

r it

s te

rrit

orie

s).

bM

AR

POL

Ann

ex V

I ni

trog

en o

xide

(N

Ox)

sta

ndar

ds (

inte

rnat

iona

l sta

ndar

ds a

dopt

ed b

y th

e In

tern

atio

nal M

arit

ime

Con

vent

ion

on t

he P

reve

ntio

n of

Pol

lu-

tion

fro

m S

hips

) ar

e re

ferr

ed t

o as

Tie

r 1

emis

sion

s st

anda

rds.

The

se s

tand

ards

app

ly t

o an

y di

esel

eng

ine

over

130

kW

inst

alle

d on

a v

esse

l con

stru

cted

on

or

afte

r Ja

n. 1

, 200

0 an

d to

any

eng

ine

that

und

ergo

es m

ajor

con

vers

ion

afte

r th

at d

ate.

MA

RPO

L s

tand

ards

are

cur

rent

ly v

olun

tary

for

shi

ps e

ngag

ed in

dom

es-

tic

trav

el b

ut w

ill b

e re

quir

ed fo

r sh

ips

enga

ged

in f

orei

gn t

rade

wit

h co

untr

ies

that

rat

ify

MA

RPO

L s

tand

ards

. Alt

houg

h th

ey h

ave

not

yet b

een

rati

fied

by

the

Uni

ted

Stat

es, t

he E

PA e

ncou

rage

s en

gine

man

ufac

ture

rs t

o m

ake

com

plia

nt e

ngin

es a

nd e

ncou

rage

s ow

ners

to

purc

hase

the

m. I

f ra

tifi

ed b

y th

e U

nite

d St

ates

, M

AR

POL

Ann

ex V

I N

O s

tand

ards

will

be

retr

oact

ivel

y ef

fect

ive

Jan.

1, 2

000.

cE

mis

sion

s st

anda

rds

are

base

d on

dis

plac

emen

t/cy

linde

r an

d ra

ted

pow

er. T

he t

hree

sta

ndar

ds c

ateg

orie

s ar

e as

fol

low

s:C

ateg

ory

1 (<

5 li

ters

dis

plac

emen

t/cy

linde

r an

d ra

ted

pow

er >

=37

kW):

The

se e

ngin

es a

re ty

pica

lly u

sed

as p

ropu

lsio

n en

gine

s on

rel

ativ

ely

smal

l com

mer

cial

ve

ssel

s (f

ishi

ng v

esse

ls, t

ugbo

ats,

cre

wbo

ats,

etc

.). T

hey

are

also

use

d as

aux

iliar

y en

gine

s on

ves

sels

of

all s

izes

and

app

licat

ions

.C

ateg

ory

2 (>

= 5

liter

s di

spla

cem

ent/

cylin

der

to <

30

liter

s di

spla

cem

ent/

cylin

der

and

rate

d po

wer

>=3

7 kW

): T

he la

rges

t en

gine

s th

at a

re w

idel

y us

ed a

s pr

o-pu

lsio

n en

gine

s in

har

bor

and

coas

tal v

esse

ls in

U.S

. wat

ers.

The

se e

ngin

es a

lso

prov

ide

auxi

liary

pow

er o

n ve

ry la

rge

vess

els.

Man

y of

the

se e

ngin

es a

re o

f si

mila

r si

ze a

nd c

onfi

gura

tion

as

loco

mot

ive

engi

nes

or u

se c

ompa

rabl

e em

issi

ons

cont

rol t

echn

olog

ies.

Cat

egor

y 3

(>=

30 li

ters

dis

plac

emen

t/cy

linde

r an

d ra

ted

pow

er .=

37kW

): T

hese

are

ver

y la

rge

high

-pow

er e

ngin

es t

hat

are

used

alm

ost

excl

usiv

ely

for

prop

ul-

sion

on

vess

els

enga

ged

in in

tern

atio

nal t

rade

.d

Man

ufac

ture

rs m

ust

dem

onst

rate

tha

t th

e en

gine

or

engi

ne f

amily

will

mee

t al

l sta

ndar

ds f

or it

s us

eful

life

. Cer

tifi

cati

on f

or u

sefu

l lif

e is

acc

ompl

ishe

d by

tes

t-in

g a

sam

ple

of e

ngin

es. T

he w

arra

nty

peri

od a

pplie

s to

eac

h en

gine

man

ufac

ture

d. T

he m

anuf

actu

rer

of e

ach

engi

ne m

ust

prov

ide

a w

arra

nty

to t

he u

ltim

ate

purc

hase

r or

ow

ner

(and

eac

h su

bseq

uent

pur

chas

er o

r ow

ner)

tha

t th

e en

gine

is d

esig

ned,

bui

lt, a

nd e

quip

ped

so a

s to

con

form

at

the

tim

e of

sal

e w

ith

Tie

r 2

stan

dard

s an

d is

fre

e fr

om d

efec

ts in

mat

eria

ls a

nd w

orkm

ansh

ip t

hat

wou

ld c

ause

the

eng

ine

to f

ail t

o co

nfor

m t

o th

ese

stan

dard

s fo

r th

e w

arra

nty

peri

od.

Furt

herm

ore,

thi

s w

arra

nty

cann

ot b

e sh

orte

r th

an a

ny m

echa

nica

l war

rant

y on

the

eng

ine

and

mus

t be

at

leas

t on

e ha

lf o

f th

e us

eful

life

per

iod.

SOU

RC

EFe

dera

l Reg

iste

r, V

ol. 6

4, N

o. 2

49, D

ec. 2

9, 1

999,

pp

73,2

99 t

o 73

,373

, and

U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y, O

ffic

e of

Air

and

Rad

iati

on, p

erso

nal c

om-

mun

icat

ion,

Aug

. 28,

200

1.

Page 341: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

322 � Chapter 4: Transportation, Energy, and the Environment

TABLE 4-38: Estimated National Average Vehicle Emissions Rates by Vehicle Type and Fuel (Grams per mile)R

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002GASOLINE (assuming zero RFG)Light-duty vehiclesExhaust HC 2.79 2.50 2.23 1.98 1.77 1.57 1.39 1.25 1.14 1.05 0.97 0.89 0.81Nonexhaust HC 1.21 1.16 1.12 1.09 1.07 1.05 1.03 1.01 0.98 0.95 0.92 0.88 0.84

Total HC 3.99 3.66 3.35 3.07 2.84 2.62 2.41 2.26 2.12 2.00 1.89 1.77 1.65Exhaust CO 42.89 39.15 35.54 32.23 29.32 26.60 24.18 22.38 20.86 19.54 18.53 18.03 17.58Exhaust NOx 2.70 2.47 2.27 2.09 1.94 1.78 1.64 1.55 1.46 1.35 1.29 1.25 1.20

Light-duty trucksExhaust HC 3.68 3.33 3.00 2.71 2.45 2.21 1.96 1.80 1.65 1.54 1.45 1.35 1.24Nonexhaust HC 1.36 1.29 1.20 1.16 1.12 1.10 1.07 1.04 1.02 0.99 0.97 0.94 0.89Total HC 5.04 4.62 4.20 3.87 3.58 3.31 3.03 2.85 2.67 2.53 2.42 2.29 2.13

Exhaust CO 56.23 51.99 47.93 44.34 40.77 37.51 34.47 32.20 30.23 28.28 26.81 25.61 24.32Exhaust NOx 2.62 2.42 2.26 2.11 1.98 1.84 1.73 1.65 1.59 1.55 1.54 1.53 1.50

Heavy-duty vehiclesExhaust HC 3.66 3.34 3.03 2.76 2.39 2.16 1.94 1.73 1.51 1.35 1.22 1.09 0.98Nonexhaust HC 2.74 2.60 2.34 2.25 2.16 2.07 1.97 1.87 1.79 1.69 1.62 1.54 1.48

Total HC 6.40 5.94 5.37 5.00 4.55 4.24 3.91 3.60 3.29 3.04 2.84 2.63 2.46

Exhaust CO 85.61 78.64 72.12 65.92 60.01 54.16 48.52 43.26 38.82 34.54 31.08 27.59 24.73Exhaust NOx 7.19 6.96 6.72 6.52 6.35 6.11 5.89 5.73 5.56 5.40 5.26 5.13 5.01

MotorcyclesExhaust HC 2.01 1.88 1.82 1.75 1.72 1.69 1.63 1.63 1.62 1.61 1.61 1.61 1.61Nonexhaust HC 0.74 0.73 0.72 0.72 0.71 0.71 0.70 0.69 0.70 0.70 0.70 0.70 0.70Total HC 2.74 2.60 2.54 2.46 2.43 2.40 2.34 2.32 2.32 2.31 2.31 2.31 2.31

Exhaust CO 15.15 14.78 14.77 14.76 14.76 14.67 14.59 14.59 14.59 14.59 14.59 14.59 14.59Exhaust NOx 1.26 1.28 1.28 1.28 1.28 1.26 1.25 1.25 1.25 1.25 1.25 1.25 1.25

DIESELLight-duty vehiclesExhaust HC 0.68 0.69 0.71 0.73 0.75 0.77 0.79 0.81 0.81 0.82 0.80 0.76 0.73Exhaust CO 1.49 1.52 1.56 1.60 1.64 1.69 1.73 1.76 1.78 1.79 1.78 1.75 1.73Exhaust NOx 1.83 1.85 1.86 1.87 1.89 1.89 1.89 1.88 1.86 1.85 1.81 1.72 1.62

Light-duty trucks

Exhaust HC 1.59 1.60 1.64 1.64 1.68 1.67 1.69 1.63 1.51 1.42 1.02 0.88 0.96Exhaust CO 2.67 2.70 2.76 2.77 2.85 2.85 2.89 2.79 2.60 2.44 1.77 1.54 1.66Exhaust NOx 2.71 2.66 2.62 2.56 2.53 2.46 2.42 2.31 2.17 2.07 1.76 1.64 1.67

Heavy-duty vehiclesExhaust HC 2.21 1.97 1.74 1.55 1.38 1.23 1.10 1.00 0.92 0.85 0.79 0.74 0.69

Exhaust CO 10.06 9.22 8.43 7.71 7.00 6.32 5.73 5.23 4.80 4.43 4.10 3.82 3.58Exhaust NOx 23.34 22.14 21.47 21.10 20.75 20.49 20.24 20.04 19.84 19.14 18.05 16.68 15.52

Page 342: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 323

AVERAGE OF ALL VEHICLES, GASOLINE AND DIESELExhaust HC 2.98 2.70 2.42 2.18 1.96 1.76 1.56 1.43 1.32 1.23 1.15 1.08 0.99Nonexhaust HC 1.21 1.15 1.09 1.06 1.03 1.01 0.99 0.96 0.94 0.91 0.88 0.85 0.81

Total HC 4.19 3.85 3.52 3.24 2.99 2.77 2.55 2.40 2.25 2.14 2.04 1.93 1.80

Exhaust CO 45.07 41.43 37.93 34.76 31.84 29.12 26.65 24.90 23.40 22.00 20.94 20.20 19.42Exhaust NOx 4.15 3.92 3.75 3.61 3.49 3.36 3.24 3.18 3.12 3.02 2.91 2.78 2.65

KEY: CO = carbon monoxide; HC = hydrocarbon; NOx = nitrogen oxide; R = revised; RFG = reformulated gasoline.

NOTESAs of July 1 of each year, vehicle types are defined as follows: light-duty vehicles (passenger cars up to 6,000 lb

gross vehicle weight rating GVWR); light-duty trucks (pickups and minivans up to 8,500 lb GVWR); heavy-duty vehicles (8,501 lbs or more GVWR); motorcycle (highway only). This table is based on MOBILE6, the U.S. Environmental Protection Agency’s (EPA) latest highway vehicle emissions factor model. Interested readers can learn more about the MOBILE6 model at the following USEPA Internet site http://www.epa.gov/otaq/m6.htm.

Emissions factors are national averages based on the following assumptions: ambient temperature 75 ºF, daily temperature range 60-84 ºF, average traffic speed 27.6 mph (representative of overall traffic in urban areas), standard operating mode (cold-start, hot-start, stabilized), vehicle-miles traveled fractions, no inspection/maintenance or antitampering programs, and gasoline volatility 9.0 per square inch RVP (Reid vapor pressure).

See Table 4-39 for emissions from vehicles operating on reformulated gasoline.Data for nonexhaust HC is negligible for diesel light-duty vehicles, light-duty trucks, and heavy-duty vehicles.

SOURCEU.S. Environmental Protection Agency, National Vehicle and Fuel Emissions Laboratory, personal communi-

cation, July 31, 2002.

TABLE 4-38: Estimated National Average Vehicle Emissions Rates by Vehicle Type and Fuel (Grams per mile)R (Continued)

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002

Page 343: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

324 � Chapter 4: Transportation, Energy, and the Environment

TABLE 4-39: Estimated National Average Vehicle Emissions Rates by Vehicle Type Using Reformulated Gasoline (Grams per mile)

R1995 R1996 R1997 R1998 R1999 R2000 R2001 2002Light-duty vehiclesExhaust HC 1.45 1.28 1.15 1.04 0.97 0.84 0.76 0.68Nonexhaust HC 0.89 0.87 0.86 0.84 0.82 0.65 0.63 0.61

Total HC 2.34 2.15 2.01 1.88 1.78 1.48 1.39 1.29

Exhaust CO 22.78 20.84 19.43 18.25 17.21 15.36 14.85 14.31Exhaust NOx 1.78 1.64 1.55 1.46 1.35 1.24 1.19 1.12

Light-duty trucksExhaust HC 2.09 1.85 1.69 1.55 1.44 1.28 1.18 1.07Nonexhaust HC 0.92 0.90 0.88 0.86 0.84 0.67 0.66 0.63

Total HC 3.01 2.74 2.58 2.41 2.28 1.95 1.84 1.71

Exhaust CO 31.86 29.46 27.70 26.19 24.63 22.25 21.23 20.08Exhaust NOx 1.84 1.73 1.65 1.59 1.55 1.47 1.45 1.41

Heavy-duty vehiclesExhaust HC 2.14 1.91 1.70 1.48 1.32 1.16 1.03 0.92Nonexhaust HC 1.72 1.64 1.56 1.50 1.43 1.12 1.07 1.03

Total HC 3.86 3.55 3.26 2.98 2.75 2.28 2.10 1.96

Exhaust CO 46.02 41.15 36.62 32.80 29.12 25.87 22.88 20.41Exhaust NOx 6.13 5.90 5.74 5.57 5.41 5.18 5.01 4.86

MotorcyclesExhaust HC 1.69 1.63 1.63 1.62 1.61 1.61 1.61 1.61Nonexhaust HC 0.55 0.54 0.53 0.53 0.53 0.43 0.43 0.43

Total HC 2.24 2.17 2.16 2.16 2.14 2.04 2.04 2.04

Exhaust CO 12.64 12.56 12.56 12.56 12.56 12.56 12.56 12.56Exhaust NOx 1.26 1.25 1.25 1.25 1.25 1.25 1.25 1.25

Page 344: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 325

Average of all RFG and diesel vehiclesExhaust HC 1.65 1.46 1.34 1.23 1.15 1.02 0.94 0.86Nonexhaust HC 0.85 0.84 0.82 0.80 0.78 0.62 0.60 0.58

Total HC 2.50 2.30 2.16 2.03 1.93 1.64 1.54 1.44

Exhaust CO 24.92 22.93 21.56 20.38 19.27 17.44 16.76 15.99Exhaust NOx 3.36 3.24 3.18 3.12 3.02 2.85 2.71 2.58

KEY: CO = carbon monoxide; HC = hydrocarbon; NOx = nitrogen oxide; R = revised; RFG = reformulated gasoline.

NOTESAs of July 1 of each year, vehicle types are defined as follows: light-duty vehicles (passenger cars up to

6,000 lb gross vehicle weight rating GVWR) ; light-duty trucks (pickups and minivans up to 8,500 lb GVWR); heavy-duty vehicles (8,501 lb or more GVWR); motorcycle (on-highway only). The data in this table are based on MOBILE6, and reflect the introduction of RFG starting in 1995. Emissions fac-tors are national averages based on the following assumptions: ambient temperature 75 ºF, daily tem-perature range 60 -84 ºF, average traffic speed 27.6 mph (representative of overall traffic in urban areas), standard operating mode (cold-start, hot-start, stabilized), vehicle-miles traveled fractions, and no inspection/maintenance or antitampering programs.

Emissions estimates in this table assume 100% RFG.

SOURCEU.S. Environmental Protection Agency, National Vehicle and Fuel Emissions Laboratory, personal commu-

nication, July 31, 2002.

TABLE 4-39: Estimated National Average Vehicle Emissions Rates by Vehicle Type Using Reformulated Gasoline (Grams per mile) (Continued)

R1995 R1996 R1997 R1998 R1999 R2000 R2001 2002

Page 345: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

326 � Chapter 4: Transportation, Energy, and the EnvironmentTA

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Page 346: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 327

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ly e

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e an

d un

derg

o m

ajor

cha

nges

. The

se im

prov

ed m

etho

ds a

re o

ften

use

d to

rev

ise

esti

mat

es f

or p

re-

viou

s ye

ars.

The

refo

re, s

ome

esti

mat

es in

thi

s ta

ble

may

not

mat

ch e

stim

ates

pro

duce

d in

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viou

s re

port

s, a

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ome

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ds m

ay n

ot b

e co

nsis

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oss

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ch m

ajor

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in m

etho

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gy h

ave

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rred

.N

umbe

rs m

ay n

ot a

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o to

tals

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.

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RC

ES

1970

, 197

5: U

.S. E

nvir

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enta

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Age

ncy,

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Qua

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issi

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9 (E

PA-4

54/R

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004)

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esea

rch

Tri

angl

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rk,

NC

: Mar

ch 2

001)

, tab

le A

-2; a

vaila

ble

at I

nter

net

web

site

htt

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ww

.epa

.gov

/oar

/aqt

rnd9

9/to

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ml a

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t. 5

, 200

1.19

80, 1

985

and

1989

-200

0: I

bid,

Cur

rent

Em

issi

on T

rend

s Su

mm

arie

s, a

vaila

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at in

tern

et w

ebsi

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ttp:

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w.e

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tn/c

hief

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nds/

tren

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/tr

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.pdf

as

of O

ct. 1

7, 2

002.

1986

-87:

Ibi

d, N

atio

nal E

mis

sion

Tre

nds

sour

ce r

epor

ts d

atab

ase;

ava

ilabl

e at

Int

erne

t w

ebsi

te w

ww

.epa

.gov

/air

/dat

a/ne

ttie

r.htm

l as

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ept.

5, 2

001.

1988

: Ibi

d, N

atio

nal A

ir P

ollu

tant

Em

issi

on T

rend

s: 1

900-

1998

(EPA

-454

/R-0

0-00

2) (

Res

earc

h T

rian

gle

Park

, NC

: Mar

ch 2

000)

, tab

le A

-2; a

vaila

ble

at In

tern

et

web

site

htt

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ww

.epa

.gov

/ttn

/chi

ef/t

rend

s/tr

ends

98/b

row

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tml a

s of

Sep

t. 5

, 200

1.

Page 347: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

328 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-42

: Est

imat

ed N

atio

nal E

mis

sion

s of

Vol

atile

Org

anic

Com

poun

ds (M

illio

n sh

ort t

ons)

1970

1975

1980

19

8519

90

1995

19

96

1997

19

98

1999

2000

TOTA

L a

ll so

urc

es30

.98

26.0

8R

26.3

424

.43

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R20

.92

R19

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R19

.28

R19

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8

Tran

spo

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veh

icle

s12

.97

10.5

58.

989.

386.

445.

825.

545.

445.

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5.33

5.04

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road

Airc

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0.10

0.12

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0.87

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l tra

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1.98

0.98

0.76

0.98

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cella

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l no

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Y: R

= r

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ther

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d co

mpr

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non

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gas

olin

e- a

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l-po

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ecre

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nal,

airp

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railw

ay m

aint

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ce v

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iona

l mar

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vess

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dust

rial

pro

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ompr

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chem

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and

alli

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rodu

ct m

anuf

actu

ring

, met

als

proc

essi

ng, p

etro

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and

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ther

indu

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roce

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; an

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lven

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, sto

rage

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tra

nspo

rt.

cM

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llane

ous

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asol

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pow

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con

stru

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n, in

dust

rial

, law

n an

d ga

rden

, far

m, l

ight

-com

mer

cial

, log

ging

veh

icle

s, a

nd o

ther

no

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urce

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eoge

nic

sour

ces,

cat

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ophi

c an

d ac

cide

ntal

rel

ease

s, h

ealt

h se

rvic

es, c

oolin

g to

wer

s, n

ontr

ansp

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-rel

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lash

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ther

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cou

ld n

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e ac

cura

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cifi

c so

urce

cat

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ies.

NO

TE

ST

he m

etho

dolo

gies

use

d to

est

imat

e em

issi

ons

cons

tant

ly e

volv

e an

d un

derg

o m

ajor

cha

nges

. The

se im

prov

ed m

etho

ds a

re o

ften

use

d to

rev

ise

esti

mat

es f

or p

re-

viou

s ye

ars.

The

refo

re, s

ome

esti

mat

es in

thi

s ta

ble

may

not

mat

ch e

stim

ates

pro

duce

d in

pre

viou

s re

port

s, a

nd s

ome

tren

ds m

ay n

ot b

e co

nsis

tent

acr

oss

year

s in

whi

ch m

ajor

cha

nges

in m

etho

dolo

gy h

ave

occu

rred

.N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

ES

1970

, 197

5: U

.S. E

nvir

onm

enta

l Pro

tect

ion

Age

ncy,

Nat

iona

l Air

Qua

lity

and

Em

issi

ons

Tre

nds

Rep

ort:

199

9 (E

PA-4

54/R

-01-

004)

(R

esea

rch

Tri

angl

e Pa

rk,

NC

: Mar

ch 2

001)

, tab

le A

-2; a

vaila

ble

at I

nter

net

web

site

htt

p://w

ww

.epa

.gov

/oar

/aqt

rnd9

9/to

c.ht

ml a

s of

Sep

t. 5

, 200

1.

1980

, 198

5 an

d 19

89-2

000:

Ibi

d, C

urre

nt E

mis

sion

Tre

nds

Sum

mar

ies,

ava

ilabl

e at

inte

rnet

web

site

htt

p://w

ww

.epa

.gov

/ttn

/chi

ef/t

rend

s/tr

ends

00/

tren

ds20

00.p

df a

s of

Oct

. 17,

200

2.19

86-8

7: I

bid,

Nat

iona

l Em

issi

on T

rend

s so

urce

rep

orts

dat

abas

e; a

vaila

ble

at I

nter

net

web

site

ww

w.e

pa.g

ov/a

ir/d

ata/

nett

ier.h

tml a

s of

Sep

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1.19

88: I

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iona

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mis

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l as

of S

ept.

5, 2

001.

Page 348: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 329

TABL

E 4-

43: E

stim

ated

Nat

iona

l Em

issi

ons

of P

artic

ulat

e M

atte

r (PM

-10)

a (M

illio

n sh

ort t

ons)

1970

1975

1980

1985

1990

19

95

1996

19

97

1998

19

9920

00TO

TAL

all

sou

rces

13.0

47.

677.

12R

41.4

0R

27.8

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25.9

3R

23.2

5R

24.1

0R

23.7

2R

24.0

424

.88

Tran

spo

rtat

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On-

road

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icle

s0.

440.

470.

400.

360.

350.

300.

350.

330.

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ff-ro

adA

ircra

ft0.

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040.

040.

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0.01

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lroad

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030.

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ssel

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tal t

ran

spo

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-fu

el-r

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0.49

0.57

0.52

0.50

0.53

0.45

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49R

0.48

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0.45

0.42

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spo

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-rel

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fu

git

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du

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310

.36

9.07

9.46

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ran

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490.

570.

5217

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113

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.97

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2

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ntr

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nF

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ombu

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451.

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00

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esc

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0.68

0.70

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te d

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1.00

0.37

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0.28

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cella

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Tota

l no

ntr

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7.10

6.60

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R11

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R11

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R11

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R11

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12.5

6

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

.

aFi

ne p

arti

cula

te m

atte

r le

ss t

han

10 m

icro

ns.

bO

ther

off

-roa

d co

mpr

ises

non

road

gas

olin

e- a

nd d

iese

l-po

wer

ed r

ecre

atio

nal,

airp

ort

serv

ice

and

railw

ay m

aint

enan

ce v

ehic

les,

and

rec

reat

iona

l m

arin

e ve

ssel

s.c

Indu

stri

al p

roce

sses

com

pris

e ch

emic

al a

nd a

llied

pro

duct

man

ufac

turi

ng, m

etal

s pr

oces

sing

, pet

role

um a

nd r

elat

ed in

dust

ries

, and

oth

er in

dust

rial

pr

oces

ses;

sol

vent

uti

lizat

ion;

and

sto

rage

and

tra

nspo

rt.

dM

isce

llane

ous

com

pris

es n

onro

ad g

asol

ine-

and

die

sel-

pow

ered

con

stru

ctio

n, in

dust

rial

, law

n an

d ga

rden

, far

m, l

ight

-com

mer

cial

, log

ging

veh

icle

s an

d ot

her

non-

road

sou

rces

; geo

geni

c so

urce

s; a

gric

ultu

re a

nd f

ores

try,

coo

ling

tow

ers,

non

tran

spor

tati

on-r

elat

ed f

ugit

ive

dust

, wild

fire

s, m

anag

ed

burn

ing,

and

oth

er c

ombu

stio

n so

urce

s th

at c

ould

not

be

accu

rate

ly a

lloca

ted

to s

peci

fic

sour

ce c

ateg

orie

s.

NO

TE

ST

he m

etho

dolo

gies

use

d to

est

imat

e em

issi

ons

cons

tant

ly e

volv

e an

d un

derg

o m

ajor

cha

nges

. The

se im

prov

ed m

etho

ds a

re o

ften

use

d to

rev

ise

esti

mat

es

for

prev

ious

yea

rs. T

here

fore

, som

e es

tim

ates

in t

his

tabl

e m

ay n

ot m

atch

est

imat

es p

rodu

ced

in p

revi

ous

repo

rts,

and

som

e tr

ends

may

not

be

cons

is-

tent

acr

oss

year

s in

whi

ch m

ajor

cha

nges

in m

etho

dolo

gy h

ave

occu

rred

.N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

E19

70, 1

975:

U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y, p

erso

nal c

omm

unic

atio

n, S

ept.

5, 2

002.

1980

, 198

5 an

d 19

89-2

000:

Ibi

d, C

urre

nt E

mis

sion

Tre

nds

Sum

mar

ies,

ava

ilabl

e at

inte

rnet

web

site

htt

p://w

ww

.epa

.gov

/ttn

/chi

ef/t

rend

s/tr

ends

00/

tren

ds20

00.p

df a

s of

Oct

. 17,

200

2.19

86-8

7: I

bid,

Nat

iona

l Em

issi

on T

rend

s So

urce

Rep

orts

Dat

abas

e; a

vaila

ble

at I

nter

net

web

site

ww

w.e

pa.g

ov/a

ir/d

ata/

nett

ier.h

tml a

s of

Sep

t. 5

, 200

1.19

88: N

atio

nal A

ir P

ollu

tant

Em

issi

on T

rend

s: 1

900-

1998

(E

PA-4

54/R

-00-

002)

(R

esea

rch

Tri

angl

e Pa

rk, N

C: M

arch

200

0), t

able

A-2

, ava

ilabl

e at

Int

er-

net

web

site

htt

p://w

ww

.epa

.gov

/ttn

/chi

ef/t

rend

s/tr

ends

98/b

row

se.h

tml a

s of

Sep

t. 5

, 200

1.

Page 349: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

330 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-44

: Est

imat

ed N

atio

nal E

mis

sion

s of

Par

ticul

ate

Mat

ter (

PM-2

.5)a

(Mill

ion

shor

t ton

s)

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

TOTA

L a

ll so

urc

esR

7.65

7.43

7.32

7.25

7.65

7.01

6.72

7.04

6.74

7.08

7.75

Tran

spo

rtat

ion

On-

road

veh

icle

s0.

290.

290.

280.

260.

260.

240.

280.

260.

250.

230.

21A

ircra

ft0.

030.

030.

030.

030.

030.

03R

<0.

01R

<0.

01R

<0.

01R

<0.

01<0

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Rai

lroad

s0.

050.

050.

050.

050.

05R

0.03

0.03

0.03

0.03

0.03

0.03

Mar

ine

vess

els

0.03

0.03

0.03

0.03

0.03

0.03

R0.

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0.06

R0.

06R

0.06

0.06

Oth

er o

ff-ro

adb

0.03

0.03

0.03

R0.

04R

0.04

R0.

04R

0.05

R0.

05R

0.05

0.04

0.04

Tran

spor

tatio

n-re

late

d fu

gitiv

e du

stU

npav

ed r

oads

1.69

1.68

1.64

1.72

1.71

1.56

1.37

1.43

1.41

R1.

381.

38

Pav

ed r

oads

0.56

0.60

0.61

0.62

0.63

R0.

580.

600.

650.

67R

0.69

0.69

Tota

l tra

nsp

ort

atio

n2.

68R

2.72

R2.

68R

2.75

R2.

752.

502.

382.

482.

46R

2.44

2.41

No

ntr

ansp

ort

atio

nF

uel c

ombu

stio

n0.

910.

890.

930.

850.

840.

90R

0.74

R0.

74R

0.71

R0.

720.

76

Indu

stria

l pro

cess

esc

0.56

0.57

0.58

0.50

0.50

0.50

0.37

0.38

0.39

0.39

0.40

Was

te d

ispo

sal a

nd r

ecyc

ling

0.23

0.24

0.24

0.29

0.27

0.25

R0.

50R

0.50

R0.

50R

0.50

0.51

Mis

cella

neou

sR,d

3.27

3.00

2.89

R2.

873.

30R

2.86

2.73

R2.

942.

693.

033.

66

Tota

l no

ntr

ansp

ort

atio

n4.

974.

714.

644.

524.

914.

514.

344.

574.

294.

645.

34

KE

Y: R

= r

evis

ed.

aPa

rtic

ulat

e m

atte

r le

ss t

han

2.5

mic

rons

in s

ize.

bO

ther

off

-roa

d co

mpr

ises

non

road

gas

olin

e- a

nd d

iese

l-po

wer

ed r

ecre

atio

nal,

airp

ort

serv

ice

and

railw

ay m

aint

enan

ce v

ehic

les

and

recr

eati

onal

mar

ine

vess

els.

cIn

dust

rial

pro

cess

es c

ompr

ise

chem

ical

and

alli

ed p

rodu

ct m

anuf

actu

ring

, met

als

proc

essi

ng, p

etro

leum

and

rel

ated

indu

stri

es, a

nd o

ther

indu

stri

al p

roce

sses

; so

lven

t ut

iliza

tion

; and

sto

rage

and

tra

nspo

rtat

ion.

dM

isce

llane

ous

com

pris

es n

onro

ad g

asol

ine-

and

die

sel-

pow

ered

con

stru

ctio

n, in

dust

rial

, law

n an

d ga

rden

, far

m, l

ight

-com

mer

cial

, log

ging

veh

icle

s an

d ot

her

non-

road

sou

rces

; geo

geni

c so

urce

s, a

gric

ultu

re a

nd f

ores

try,

coo

ling

tow

ers,

non

tran

spor

tati

on-r

elat

ed f

ugit

ive

dust

, wild

fire

s, m

anag

ed b

urni

ng, a

nd o

ther

fu

giti

ve d

ust

and

com

bust

ion

that

cou

ld n

ot a

ccur

atel

y be

allo

cate

d to

spe

cifi

c so

urce

cat

egor

ies.

NO

TE

ST

he e

mis

sion

s es

tim

ates

sho

wn

here

are

tho

se t

hat

are

dire

ctly

em

itte

d, w

hich

rep

rese

nt o

nly

a po

rtio

n of

the

tot

al P

M-2

.5 e

mis

sion

s fo

und

in t

he a

ir. S

econ

dary

fo

rmat

ion

of f

ine

part

icul

ates

res

ulti

ng f

rom

em

issi

ons

of n

itro

gen

oxid

e, s

ulfu

r di

oxid

e, v

olat

ile o

rgan

ic c

ompo

unds

, and

oth

er s

ubst

ance

s is

als

o a

sign

ifi-

cant

sou

rce

of P

M-2

.5.

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

The

met

hodo

logi

es u

sed

to e

stim

ate

emis

sion

s co

nsta

ntly

evo

lve

and

unde

rgo

maj

or c

hang

es. I

mpr

oved

met

hods

are

oft

en u

sed

to r

evis

e es

tim

ates

for

pre

viou

s ye

ars.

The

refo

re, s

ome

esti

mat

es in

thi

s ta

ble

may

not

mat

ch e

stim

ates

pro

duce

d in

pre

viou

s re

port

s, a

nd s

ome

tren

ds m

ay n

ot b

e co

nsis

tent

acr

oss

year

s in

w

hich

maj

or c

hang

es in

met

hodo

logy

hav

e oc

curr

ed.

SOU

RC

E19

90-2

000:

U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y, C

urre

nt E

mis

sion

Tre

nds

Sum

mar

ies,

ava

ilabl

e at

inte

rnet

web

site

htt

p://w

ww

.epa

.gov

/ttn

/chi

ef/t

rend

s/tr

ends

00/t

rend

s200

0.pd

f as

of

Oct

. 17,

200

2.

Page 350: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 331

TABL

E 4-

45: E

stim

ated

Nat

iona

l Em

issi

ons

of S

ulfu

r Dio

xide

(Mill

ion

shor

t ton

s)

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

TOTA

L a

ll so

urc

es31

.16

28.0

125

.91

23.6

623

.68

19.1

9R

19.4

5R

19.9

4R

20.0

6R

19.3

518

.20

Tran

spo

rtat

ion

On-

road

veh

icle

s0.

410.

500.

520.

520.

560.

310.

340.

350.

36R

0.37

0.31

Off-

road

Airc

raft

<0.

01<

0.01

0.01

0.01

0.01

0.01

0.01

0.01

0.01

0.01

0.01

Rai

lroad

s0.

040.

040.

050.

060.

120.

11R

0.06

R0.

06R

0.06

R0.

060.

06

Mar

ine

vess

els

0.04

0.05

0.12

0.14

0.25

0.24

R0.

89R

0.89

R0.

89R

0.89

0.87

Tota

l tra

nsp

ort

atio

n0.

490.

590.

700.

730.

940.

671.

291.

301.

311.

321.

25

No

ntr

ansp

ort

atio

nF

uel c

ombu

stio

n23

.46

22.6

621

.39

20.0

220

.29

16.2

316

.23

16.6

516

.75

R16

.03

14.8

8

Indu

stria

l pro

cess

esa

7.09

4.68

3.77

2.43

1.86

1.59

1.38

1.43

1.43

R1.

421.

46

Was

te d

ispo

sal a

nd r

ecyc

ling

0.01

0.05

0.03

0.03

0.04

0.05

R0.

03R

0.03

R0.

03R

0.03

0.04

Mis

cella

neou

sb0.

110.

020.

010.

44R

0.54

R0.

640.

51R

0.52

R0.

540.

550.

57

Tota

l no

ntr

ansp

ort

atio

n30

.67

27.4

125

.20

22.9

222

.74

R18

.51

R18

.15

R18

.63

18.7

5R

18.0

316

.95

KE

Y: R

= r

evis

ed.

aIn

dust

rial

pro

cess

es c

ompr

ise

chem

ical

and

alli

ed p

rodu

ct m

anuf

actu

ring

, met

als

proc

essi

ng, p

etro

leum

and

rel

ated

indu

stri

es, a

nd o

ther

indu

stri

al p

roce

sses

; so

lven

t ut

iliza

tion

; and

sto

rage

and

tra

nspo

rt.

bM

isce

llane

ous

com

pris

es n

ontr

ansp

orta

tion

-rel

ated

fug

itiv

e du

st, n

onro

ad g

asol

ine,

non

road

die

sel,

othe

r no

nroa

d so

urce

s an

d ot

her

mis

cella

neou

s co

mbu

s-ti

on t

hat

coul

d no

t be

acc

urat

ely

allo

cate

d to

spe

cifi

c so

urce

cat

egor

ies.

NO

TE

ST

he m

etho

dolo

gies

use

d to

est

imat

e em

issi

ons

cons

tant

ly e

volv

e an

d un

derg

o m

ajor

cha

nges

. The

se im

prov

ed m

etho

ds a

re o

ften

use

d to

rev

ise

esti

mat

es f

or p

re-

viou

s ye

ars.

The

refo

re, s

ome

esti

mat

es in

thi

s ta

ble

may

not

mat

ch e

stim

ates

pro

duce

d in

pre

viou

s re

port

s, a

nd s

ome

tren

ds m

ay n

ot b

e co

nsis

tent

acr

oss

year

s in

whi

ch m

ajor

met

hodo

logy

cha

nges

hav

e oc

curr

ed.

Num

bers

may

not

add

to

tota

ls d

ue t

o ro

undi

ng.

SOU

RC

ES

1970

, 197

5: U

.S. E

nvir

onm

enta

l Pro

tect

ion

Age

ncy,

Nat

iona

l Air

Qua

lity

and

Em

issi

ons

Tre

nds

Rep

ort:

199

9 (E

PA-4

54/R

-01-

004)

(R

esea

rch

Tri

angl

e Pa

rk,

NC

: Mar

ch 2

001)

, tab

le A

-2; a

vaila

ble

at I

nter

net

web

site

htt

p://w

ww

.epa

.gov

/oar

/aqt

rnd9

9/to

c.ht

ml a

s of

Sep

t. 5

, 200

1.19

80, 1

985

and

1990

-200

0: I

bid,

Cur

rent

Em

issi

on T

rend

s Su

mm

arie

s, a

vaila

ble

at in

tern

et w

ebsi

te h

ttp:

//ww

w.e

pa.g

ov/t

tn/c

hief

/tre

nds/

tren

ds00

/tr

ends

2000

.pdf

as

of O

ct. 1

7, 2

002.

1986

-89:

Ibi

d, N

atio

nal E

mis

sion

Tre

nds

Sour

ce R

epor

ts D

atab

ase,

ava

ilabl

e at

Int

erne

t w

ebsi

te w

ww

.epa

.gov

/air

/dat

a/ne

ttie

r.htm

l as

of S

ept.

5, 2

001.

Page 351: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

332 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-46

: Est

imat

ed N

atio

nal E

mis

sion

s of

Lea

d (T

hous

and

shor

t ton

s)

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

TOTA

L a

ll so

urc

es22

0.87

159.

6674

.15

22.8

94.

983.

934.

084.

144.

064.

204.

23Tr

ansp

ort

atio

nH

ighw

ay v

ehic

les

171.

9613

0.21

60.5

018

.05

0.42

0.02

0.02

0.02

0.02

0.02

0.02

Airc

raft

1.40

1.12

0.89

0.69

0.62

0.54

0.51

0.50

0.50

R0.

520.

55

Tota

l tra

nsp

ort

atio

n17

3.36

131.

3361

.39

18.7

41.

040.

56R

0.52

0.52

0.52

0.54

0.56

Fue

l com

bust

ion

10.6

210

.35

4.30

0.52

0.50

0.49

0.49

0.49

0.49

0.50

0.50

Indu

stria

l pro

cess

esa

26.3

611

.38

3.94

2.53

R2.

482.

272.

272.

32R

2.24

2.35

2.35

Was

te d

ispo

sal a

nd r

ecyc

ling

2.20

1.60

1.21

0.87

0.80

0.60

0.79

0.80

0.81

0.81

0.81

Mis

cella

neou

sb8.

345.

013.

320.

230.

16<

0.01

<0.0

1<0

.01

<0.0

1<

0.01

<0.

01

Tota

l no

ntr

ansp

ort

atio

n47

.52

28.3

412

.77

4.15

3.94

3.37

3.55

3.61

3.54

3.66

3.66

KE

Y: R

= r

evis

ed.

aIn

dust

rial

pro

cess

es c

ompr

ise

chem

ical

and

alli

ed p

rodu

ct m

anuf

actu

ring

, met

als

proc

essi

ng, a

nd o

ther

indu

stri

al p

roce

sses

.b

Mis

cella

neou

s co

mpr

ises

oth

er n

onro

ad g

asol

ine,

eng

ines

and

veh

icle

s th

at c

ould

not

be

accu

rate

ly a

lloca

ted

to s

peci

fic

sour

ce c

ateg

orie

s.

NO

TE

STo

tal l

ead

emis

sion

s de

crea

sed

shar

ply

from

197

0 to

199

5 as

a r

esul

t of

reg

ulat

ory

acti

ons.

The

lead

con

tent

of

lead

ed g

asol

ine

was

red

uced

dra

mat

ical

ly in

19

85. I

n ad

diti

on, u

nlea

ded

gaso

line

was

intr

oduc

ed in

197

5 fo

r us

e in

aut

omob

iles

equi

pped

wit

h ca

taly

tic

cont

rol d

evic

es. B

y 19

95, u

nlea

ded

gaso

line

sale

s ac

coun

ted

for

99 p

erce

nt o

f th

e ga

solin

e m

arke

t.T

he m

etho

dolo

gies

use

d to

est

imat

e em

issi

ons

cons

tant

ly e

volv

e an

d un

derg

o m

ajor

cha

nges

. Im

prov

ed m

etho

ds a

re o

ften

use

d to

rev

ise

esti

mat

es f

or p

revi

ous

year

s. T

here

fore

, som

e es

tim

ates

in t

his

tabl

e m

ay n

ot m

atch

est

imat

es p

rodu

ced

in p

revi

ous

repo

rts,

and

som

e tr

ends

may

not

be

cons

iste

nt a

cros

s ye

ars

in

whi

ch m

ajor

cha

nges

in m

etho

dolo

gy h

ave

occu

rred

.N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.

SOU

RC

ES

1970

, 197

5: U

.S. E

nvir

onm

enta

l Pro

tect

ion

Age

ncy,

Nat

iona

l Air

Qua

lity

and

Em

issi

ons

Tre

nds

Rep

ort:

199

9 (E

PA-4

54/R

-01-

004)

(R

esea

rch

Tri

angl

e Pa

rk,

NC

: Mar

ch 2

001)

, tab

le A

-2; a

vaila

ble

at I

nter

net

web

site

htt

p://w

ww

.epa

.gov

/oar

/aqt

rnd9

9/to

c.ht

ml a

s of

Sep

t. 5

, 200

1.

1980

, 198

5 an

d 19

89-2

000:

Ibi

d, C

urre

nt E

mis

sion

Tre

nds

Sum

mar

ies,

ava

ilabl

e at

inte

rnet

web

site

htt

p://w

ww

.epa

.gov

/ttn

/chi

ef/t

rend

s/tr

ends

00/

tren

ds20

00.p

df a

s of

Oct

. 17,

200

2.19

86-8

7: I

bid,

Nat

iona

l Em

issi

on T

rend

s so

urce

rep

orts

dat

abas

e; a

vaila

ble

at I

nter

net

web

site

ww

w.e

pa.g

ov/a

ir/d

ata/

nett

ier.h

tml a

s of

Sep

t. 5

, 200

1.19

88: I

bid,

Nat

iona

l Air

Pol

luta

nt E

mis

sion

Tre

nds:

190

0-19

98 (E

PA-4

54/R

-00-

002)

(R

esea

rch

Tri

angl

e Pa

rk, N

C: M

arch

200

0), t

able

A-2

; ava

ilabl

e at

Inte

rnet

w

ebsi

te h

ttp:

//ww

w.e

pa.g

ov/t

tn/c

hief

/tre

nds/

tren

ds98

/bro

wse

.htm

l as

of S

ept.

5, 2

001.

Page 352: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 333

TABL

E 4-

47: A

ir Po

llutio

n Tr

ends

in S

elec

ted

Met

ropo

litan

Sta

tistic

al A

reas

(N

umbe

r of d

ays

with

AQI

val

ues

grea

ter t

han

100

at tr

end

site

s an

d al

l mon

itorin

g si

tes)

All

site

sTr

end

sit

es

Tota

l n

um

ber

o

f si

tesR

AQ

I day

s >

100

(200

1)N

um

ber

of

tren

d s

ites

R19

9219

9319

9419

9519

9619

9719

9819

9920

0020

01A

kron

, OH

212

28

108

1211

614

204

12A

lban

y-S

chen

ecta

dy-T

roy,

NY

311

35

56

34

32

61

11

Alb

uque

rque

, NM

11

10

01

00

00

10

1A

llent

own-

Bet

hleh

em-E

asto

n, P

A3

152

36

39

613

1820

59

Atla

nta,

GA

1218

320

3615

3525

3150

6126

8

Aus

tin-S

an M

arco

s, T

X1

10

12

410

00

58

60

Bak

ersf

ield

, CA

833

710

097

R10

4R

107

R11

0R

5876

R94

8233

Bal

timor

e, M

D8

267

2348

R40

3628

3051

4016

26

Bat

on R

ouge

, LA

65

6R

6R

13R

10R

21R

11R

16R

16R

2329

5

Ber

gen-

Pas

saic

, NJ

25

0R

0R

0R

0R

0R

0R

0R

10

00

Birm

ingh

am, A

L6

126

1210

632

158

R22

2722

12

Bos

ton,

MA

-NH

518

3R

6R

2R

6R

7R

4R

7R

8R

81

14

Buf

falo

-Nia

gara

Fal

ls, N

Y2

132

31

46

31

138

513

Cha

rlest

on-N

orth

Cha

rlest

on, S

C0

00

02

21

33

35

40

Cha

rlotte

-Gas

toni

a-R

ock

Hill

, NC

-SC

726

611

R29

R15

R19

R23

R30

R49

R40

2223

Chi

cago

, IL

1916

19R

63

R9

R24

R7

9R

10R

140

15

Cin

cinn

ati,

OH

-KY-

IN8

125

1R

516

1910

11R

1312

46

Cle

vela

nd-L

orai

n-E

lyria

, OH

924

811

R16

R25

R27

R19

R13

R22

R21

517

Col

umbu

s, O

H7

94

5R

8R

12R

18R

19R

13R

21R

226

7

Dal

las,

TX

824

2R

8R

13R

26R

28R

1020

R26

2320

14

Day

ton-

Spr

ingf

ield

, OH

55

42

1114

1118

R10

1919

64

Den

ver,

CO

62

611

R6

R3

R5

R1

0R

9R

42

2

Det

roit,

MI

716

77

511

1413

R11

1715

316

El P

aso,

TX

48

410

7R

9R

7R

5R

36

R1

35

Fort

Lau

derd

ale,

FL

22

22

41

11

01

11

2

Fort

Wor

th-A

rling

ton,

TX

725

27

931

2814

1417

1916

17Fr

esno

, CA

785

669

5955

6170

7567

8178

85G

ary,

IN4

102

50

617

11R

119

105

9

Gra

nd R

apid

s-M

uske

gon-

Hol

land

, MI

511

4R

53

R14

R18

R9

R10

R19

R21

311

Con

tinue

d ne

xt p

age

Page 353: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

334 � Chapter 4: Transportation, Energy, and the Environment

Gre

ensb

oro-

Win

ston

-Sal

em-H

igh

Pt.,

NC

720

42

R22

7R

13R

7R

1425

R24

1212

Gre

envi

lle-S

part

anbu

rg-A

nder

son,

SC

413

45

R8

5R

77

R9

2819

1113

Har

risbu

rg-L

eban

on-C

arlis

le, P

A3

173

115

1213

39

2217

517

Har

tford

, CT

316

315

1418

145

1610

187

16H

onol

ulu,

HI

00

00

00

00

00

00

0

Hou

ston

, TX

1637

932

R27

R41

66R

2847

R29

R52

4128

Indi

anap

olis

, IN

1110

7R

69

22R

21R

1612

19R

244

8

Jack

sonv

ille,

FL

21

22

32

11

4R

23

01

Jers

ey C

ity, N

J1

31

1119

1718

59

717

33

Kan

sas

City

, MO

-KS

44

41

R3

10R

21R

7R

16R

145

104

Kno

xvill

e, T

N7

177

725

16R

26R

21R

3754

R62

3617

Las

Veg

as, N

V-A

Z6

53

R3

R3

R3

0R

40

R3

00

1

Littl

e R

ock-

Nor

th L

ittle

Roc

k, A

R2

42

02

27

11

R3

R5

164

Los

Ang

eles

-Lon

g B

each

, CA

1436

1417

513

413

911

394

6056

2748

30Lo

uisv

ille,

KY-

IN6

106

223

R28

R24

11R

18R

29R

4410

10

Mem

phis

, TN

-AR

-MS

413

414

1510

2119

17R

26R

3524

13

Mia

mi,

FL

41

43

61

21

3R

65

01

Mid

dles

ex-S

omer

set-

Hun

terd

on, N

J2

112

813

9R

20R

15R

19R

22R

2611

11

Milw

auke

e-W

auke

sha,

WI

912

93

4R

1214

5R

5R

12R

184

12

Min

neap

olis

-St.

Pau

l, M

N-W

I3

32

10

25

00

10

02

Mon

mou

th-O

cean

, NJ

213

211

2413

2017

2131

2711

13N

ashv

ille,

TN

67

66

R19

2126

R23

2030

3316

7

Nas

sau-

Suf

folk

, NY

39

27

1715

108

1211

185

3N

ew H

aven

-Mer

iden

, CT

213

210

R13

R13

148

1910

166

11

New

Orle

ans,

LA

65

65

68

208

7R

418

175

New

Yor

k, N

Y8

204

R4

R11

R16

R20

R14

23R

16R

2511

16

New

ark,

NJ

210

210

1313

2012

1323

217

10N

orfo

lk-V

A B

each

-New

port

New

s, V

A-N

C3

63

819

66

417

1516

56

Oak

land

, CA

74

7R

44

312

110

R12

R6

33

TABL

E 4-

47: A

ir Po

llutio

n Tr

ends

in S

elec

ted

Met

ropo

litan

Sta

tistic

al A

reas

(N

umbe

r of d

ays

with

AQI

val

ues

grea

ter t

han

100

at tr

end

site

s an

d al

l mon

itorin

g si

tes)

(Con

tinue

d)

All

site

sTr

end

sit

es

Tota

l n

um

ber

o

f si

tesR

AQ

I day

s >

100

(200

1)N

um

ber

of

tren

d s

ites

R19

9219

9319

9419

9519

9619

9719

9819

9920

0020

01

Page 354: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 335

Okl

ahom

a C

ity, O

K4

24

22

513

24

R6

66

2

Om

aha,

NE

-IA

11

10

11

1R

00

R1

51

1

Ora

nge

Cou

nty,

CA

44

435

2515

99

36

14

2O

rland

o, F

L4

34

44

31

1R

5R

94

33

Phi

lade

lphi

a, P

A-N

J12

2512

R27

R62

R37

R38

R38

R38

3732

1822

Pho

enix

-Mes

a, A

Z12

187

R11

R15

R9

22R

1512

R14

R10

106

Pitt

sbur

gh, P

A13

209

9R

15R

21R

2611

R20

39R

244

18

Pon

ce, P

R0

00

00

00

00

00

00

Por

tland

-Van

couv

er, O

R-W

A3

23

60

22

60

32

02

Pro

vide

nce-

Fall

Riv

er-W

arw

ick,

RI-

MA

213

1R

0R

0R

5R

7R

2R

3R

2R

22

10

Ral

eigh

-Dur

ham

-Cha

pel H

ill, N

C6

96

0R

17R

15R

12R

13R

21R

37R

2912

8

Ric

hmon

d-P

eter

sbur

g, V

A4

144

830

1319

521

2825

512

Riv

ersi

de-S

an B

erna

rdin

o, C

A20

9720

174

168

R15

012

4R

118

105

R94

R96

100

94

Roc

hest

er, N

Y2

52

20

16

06

49

15

Sac

ram

ento

, CA

1125

10R

5020

R37

41R

44R

17R

29R

3929

17

St.

Loui

s, M

O-I

L15

1515

159

R33

R36

2015

2329

1415

Sal

t Lak

e C

ity-O

gden

, UT

66

6R

8R

4R

10R

5R

14R

2R

19R

42

4

San

Ant

onio

, TX

11

0R

03

R3

R17

R2

3R

49

00

San

Die

go, C

A9

179

66R

5946

4831

1433

1614

17

San

Fra

ncis

co, C

A0

00

00

02

00

00

00

San

Jos

e, C

A6

36

34

2R

14R

80

R8

R4

13

San

Jua

n-B

ayam

on, P

R0

00

00

00

R0

R0

R0

R0

00

Scr

anto

n-W

ilkes

Bar

re-H

azle

ton,

PA

410

43

107

124

117

121

10S

eattl

e-B

elle

vue-

Eve

rett,

WA

21

0R

50

3R

26

13

11

0

Spr

ingf

ield

, MA

413

412

1312

95

107

102

13S

yrac

use,

NY

24

22

41

50

23

41

4Ta

com

a, W

A0

00

20

20

10

40

00

Tam

pa-S

t. P

eter

sbur

g-C

lear

wat

er, F

L9

67

21

32

34

R6

96

4

Tole

do, O

H4

112

27

R8

911

45

42

9

Con

tinue

d ne

xt p

age

TABL

E 4-

47: A

ir Po

llutio

n Tr

ends

in S

elec

ted

Met

ropo

litan

Sta

tistic

al A

reas

(N

umbe

r of d

ays

with

AQI

val

ues

grea

ter t

han

100

at tr

end

site

s an

d al

l mon

itorin

g si

tes)

(Con

tinue

d)

All

site

sTr

end

sit

es

Tota

l n

um

ber

o

f si

tesR

AQ

I day

s >

100

(200

1)N

um

ber

of

tren

d s

ites

R19

9219

9319

9419

9519

9619

9719

9819

9920

0020

01

Page 355: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

336 � Chapter 4: Transportation, Energy, and the Environment

Tucs

on, A

Z0

00

11

03

01

0R

10

0

Tuls

a, O

K5

73

14

1221

147

914

74

Ven

tura

, CA

623

654

4363

6662

4529

2227

18

Was

hing

ton,

DC

-MD

-VA

-WV

2023

1614

52R

22R

3218

R30

4739

1122

Wes

t Pal

m B

each

-Boc

a R

aton

, FL

21

20

30

00

02

10

1

Wilm

ingt

on-N

ewar

k, D

E-M

D5

204

1229

2427

13R

22R

2821

1819

Youn

gsto

wn-

War

ren,

OH

312

310

105

128

1022

122

12

KE

Y: A

QI =

Air

Qua

lity

Inde

x; R

= r

evis

ed.

NO

TE

ST

he A

ir Q

ualit

y In

dex

(AQ

I) in

tegr

ates

info

rmat

ion

on 5

maj

or p

ollu

tant

s (p

arti

cula

te m

atte

r le

ss t

han

10 m

icro

ns in

dia

met

er, s

ulfu

r di

oxid

e, c

arbo

n m

onox

-id

e, o

zone

, and

nit

roge

n di

oxid

e) a

cros

s an

ent

ire

mon

itor

ing

netw

ork

into

a s

ingl

e nu

mbe

r th

at r

epre

sent

s th

e w

orst

dai

ly a

ir q

ualit

y ex

peri

ence

d in

an

urba

n ar

ea. A

n A

QI

grea

ter

than

100

indi

cate

s th

at a

t le

ast

1 cr

iter

ia p

ollu

tant

exc

eede

d ai

r qu

alit

y st

anda

rds

on a

giv

en d

ay; t

here

fore

, air

qua

lity

wou

ld

be in

the

unh

ealt

hful

ran

ge o

n th

at d

ay. I

n 19

99, 4

,184

mon

itor

ing

site

s re

port

ed a

ir q

ualit

y da

ta. A

ir q

ualit

y m

onit

orin

g si

tes

are

sele

cted

as

“tre

nd s

ites

” if

the

y ha

ve c

ompl

ete

data

for

at

leas

t 8

of t

he 1

0 ye

ars

betw

een

1992

and

200

1.

SOU

RC

EU

.S. E

nvir

onm

enta

l Pro

tect

ion

Age

ncy,

Off

ice

of A

ir Q

ualit

y Pl

anni

ng a

nd S

tand

ards

, Nat

iona

l Air

Qua

lity

and

Em

issi

ons

Tre

nds

Rep

ort,

200

0 (R

esea

rch

Tri

-an

gle

Park

, NC

: 200

2), t

able

A-1

6.

TABL

E 4-

47: A

ir Po

llutio

n Tr

ends

in S

elec

ted

Met

ropo

litan

Sta

tistic

al A

reas

(N

umbe

r of d

ays

with

AQI

val

ues

grea

ter t

han

100

at tr

end

site

s an

d al

l mon

itorin

g si

tes)

(Con

tinue

d)

All

site

sTr

end

sit

es

Tota

l n

um

ber

o

f si

tesR

AQ

I day

s >

100

(200

1)N

um

ber

of

tren

d s

ites

R19

9219

9319

9419

9519

9619

9719

9819

9920

0020

01

Page 356: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 337

TABL

E 4-

48: A

reas

in N

onat

tain

men

t of N

atio

nal A

mbi

ent A

ir Q

ualit

y St

anda

rds

for C

riter

ia P

ollu

tant

s(C

onde

nsed

non

atta

inm

ent a

rea

list a

s of

Sep

tem

ber 2

001)

Nu

mb

er o

f ar

eas

in n

on

atta

inm

entc

,dA

rea

po

pu

lati

on

, in

1,0

00sj

Ref

. no

.S

tate

sC

on

solid

ated

no

nat

tain

men

t ar

ea

nam

ebO

3eC

OS

O2

PM

-10

Pb

NO

2O

3C

OS

O2

PM

-10

Pb

Tota

l ex

po

sed

1A

KA

ncho

rage

.1

.1

..

255

195

255

2A

KFa

irban

ks.

1.

..

.39

393

AK

June

au.

..

1.

.13

134

AL

Bir

min

gham

1.

..

..

805

805

5A

ZA

jo.

.1

1.

.7

77

6A

ZB

ullh

ead

City

..

.1

..

88

7A

ZD

ougl

as.

.1

1.

.15

1515

8A

ZM

iam

i-Hay

den

..

21

..

44

49

AZ

Mor

enci

..

1.

..

88

10A

ZN

ogal

es.

..

1.

.24

2411

AZ

Pau

l Spu

r.

..

1.

.1

112

AZ

Pay

son

..

.1

..

55

13A

ZP

hoen

ix1

1.

1.

.3,

028

3,02

83,

111

3,11

114

AZ

Rill

ito.

..

1.

.0

015

AZ

San

Man

uel

..

1.

..

77

16A

ZYu

ma

..

.1

..

8282

17C

AIm

peria

l Val

ley

..

.1

..

119

119

18C

ALo

s A

ngel

es-S

outh

Coa

st A

ir B

asin

11

.1

..

14,9

4314

,943

14,9

4314

,943

19C

AM

ono

Bas

in (

in M

ono

Co.

).

..

1.

.0

020

CA

Ow

ens

Val

ley

..

.1

..

77

21C

AS

acra

men

to M

etro

1.

.1

..

1,97

81,

223

1,97

822

CA

San

Die

go1

..

..

.2,

813

2,81

323

CA

San

Fra

ncis

co-O

akla

nd-S

an J

ose

1.

..

..

6,54

16,

541

24C

AS

an J

oaqu

in V

alle

y2

..

1.

.3,

302

3,08

03,

302

25C

AS

anta

Bar

bara

-San

ta M

aria

-Lom

poc

1.

..

..

399

399

26C

AS

earle

s V

alle

y.

..

1.

.22

2227

CA

Sou

thea

st D

eser

t Mod

ified

AQ

MA

1.

.2

..

534

424

534

28C

AV

entu

ra C

o.1

..

..

.75

375

329

CO

Asp

en.

..

1.

.5

530

CO

Den

ver-

Bou

lder

.1

.1

..

2,25

62,

389

2,38

931

CO

Fort

Col

lins

.1

..

..

143

143

32C

OLa

mar

..

.1

..

88

33C

OS

team

boat

Spr

ings

..

.1

..

99

34C

TG

reat

er C

onne

ctic

ut1

..

1.

.2,

532

123

2,53

235

DC

-MD

-VA

Was

hing

ton

1.

..

..

4,54

44,

544

36D

ES

usse

x C

ount

y1

..

..

.15

615

637

GA

Atla

nta

1.

..

..

3,69

83,

698

38G

Ua

Piti

Pow

er P

lant

..

1.

..

11

39G

Ua

Tang

uiss

on P

ower

Pla

nt.

.1

..

.1

1

Con

tinue

d ne

xt p

age

Page 357: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

338 � Chapter 4: Transportation, Energy, and the Environment

40ID

Bon

ner

Co.

(S

andp

oint

).

..

1.

.36

3641

IDP

ocat

ello

Are

a.

..

2.

.66

6642

IDS

hosh

one

Co.

..

.2

..

1212

43IL

-IN

Chi

cago

-Gar

y-La

ke C

ount

y1

.1

3.

.8,

757

484

322

8,75

744

KY

Boy

d C

o. (

Ash

land

).

.g 1

..

.49

49

45K

Y-IN

Loui

svill

e1

..

..

.88

388

346

LAB

aton

Rou

ge1

..

..

.63

663

647

MA

Bos

ton-

Law

renc

e1

..

..

.5,

883

5,88

348

MA

Spr

ingf

ield

(W

. Mas

s)1

..

..

.81

481

449

MD

Bal

timor

e1

..

..

.2,

512

2,51

250

MD

Ken

t and

Que

en A

nne

Cos

.1

..

..

.59

5951

ME

Kno

x/Li

ncol

n C

ount

y1

..

..

.73

7352

ME

Lew

isto

n-A

ubur

n1

..

..

.22

022

053

ME

Por

tland

1.

..

..

487

487

54M

NM

inne

apol

is-S

t. P

aul

..

.1

..

286

286

55M

OLi

bert

y-A

rcad

ia.

..

.1

.5

556

MO

-IL

St.

Loui

s1

..

.h 1

.2,

482

22,

482

57M

TB

utte

..

.1

..

3434

58M

TC

olum

bia

Falls

..

.1

..

33

59M

TK

alis

pell

..

.1

..

1515

60M

TLa

me

Dee

r.

..

1.

.0

061

MT

Lew

is &

Cla

rk (

E. H

elen

a).

.1

.i 1

.2

22

62M

TLi

bby

..

.1

..

33

63M

TM

isso

ula

.1

.1

..

5252

5264

MT

Pol

son

..

.1

..

33

65M

TR

onan

..

.1

..

22

66M

TT

hom

pson

Fal

ls.

..

1.

.1

167

MT

Whi

tefis

h.

..

1.

.5

568

MT

Yello

wst

one

Co.

(La

urel

).

.1

..

.5

569

NH

Man

ches

ter

1.

..

..

364

364

70N

HP

orts

mou

th-D

over

-Roc

hest

er1

..

..

.19

219

271

NJ

Atla

ntic

City

1.

..

..

354

354

72N

MA

ntho

ny.

..

1.

.2

273

NM

Gra

nt C

o..

.1

..

.31

3174

NM

Sun

land

Par

kf 1

..

..

.10

10

75N

VC

entr

al S

tept

oe V

alle

y.

.1

..

.1

176

NV

Las

Veg

as.

1.

1.

.47

81,

375

1,37

577

NV

Ren

o1

1.

1.

.33

917

833

933

9

TABL

E 4-

48: A

reas

in N

onat

tain

men

t of N

atio

nal A

mbi

ent A

ir Q

ualit

y St

anda

rds

for C

riter

ia P

ollu

tant

s(C

onde

nsed

non

atta

inm

ent a

rea

list a

s of

Sep

tem

ber 2

001)

(Con

tinue

d)

Nu

mb

er o

f ar

eas

in n

on

atta

inm

entc

,dA

rea

po

pu

lati

on

, in

1,0

00sj

Ref

. no

.S

tate

sC

on

solid

ated

no

nat

tain

men

t ar

ea

nam

ebO

3eC

OS

O2

PM

-10

Pb

NO

2O

3C

OS

O2

PM

-10

Pb

Tota

l ex

po

sed

Page 358: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 339

78N

Y

Alb

any-

Sch

enec

tady

1.

..

..

892

892

79N

YB

uffa

lo-N

iaga

ra F

alls

1.

..

..

1,17

01,

170

80N

YE

ssex

City

, Whi

tefa

ce1

..

..

.0

081

NY

Jeffe

rson

Co.

1

..

..

.11

111

182

NY

Pou

ghke

epsi

e1

..

..

.60

060

083

NY-

NJ-

CT

New

Yor

k-N

. New

Jer

sey-

Long

Isla

nd1

1.

1.

.19

,171

13,3

711,

537

19,1

7184

OH

Cle

vela

nd-A

kron

-Lor

ain

..

1.

.1,

095

1,09

585

OH

Luca

s C

o. (

Tole

do)

..

1.

..

455

455

86O

H-K

YC

inci

nnat

i-Ham

ilton

1.

..

..

1,51

41,

514

87O

H-P

AYo

ungs

tow

n-W

arre

n1

..

..

.12

012

088

OR

Gra

nts

Pas

s.

..

1.

.20

2089

OR

Kla

mat

h Fa

lls.

1.

1.

.19

1919

90O

RLa

Gra

nde

..

.1

..

1212

91O

RLa

kevi

ew.

..

1.

.3

392

OR

Med

ford

.1

.1

..

7678

7893

OR

Oak

ridge

..

.1

..

33

94O

RS

prin

gfie

ld-E

ugen

e.

..

1.

.17

917

995

PAA

ltoon

a1

..

..

.12

912

996

PAE

rie1

..

..

.28

028

097

PAH

arris

burg

-Leb

anon

1.

..

..

629

629

98PA

John

stow

n1

..

..

.23

223

299

PALa

ncas

ter

1.

..

..

470

470

100

PAP

ittsb

urgh

-Bea

ver

Val

ley

1.

21

..

2,43

141

019

2,43

110

1PA

Scr

anto

n-W

ilkes

-Bar

re1

..

..

.76

376

310

2PA

War

ren

Co

..

2.

..

2020

103

PAYo

rk1

..

..

.47

347

310

4PA

-DE

-NJ-

MD

Phi

lade

lphi

a-W

ilmin

gton

-Tre

nton

1.

..

..

6,31

16,

311

105

PA-N

JA

llent

own-

Bet

hleh

em1

.1

740

102

740

106

PR

Gua

ynab

o C

o..

..

1.

.92

9210

7R

IP

rovi

denc

e (a

ll of

RI)

1.

..

..

1,04

81,

048

108

TX

Bea

umon

t-P

ort A

rthu

r1

..

..

.38

538

510

9T

XD

alla

s-F

ort W

orth

1.

..

..

4,58

94,

589

110

TX

El P

aso

11

.1

..

679

6256

367

911

1T

XH

oust

on-G

alve

ston

-Bra

zoria

1.

..

..

4,66

94,

669

112

UT

Ogd

en.

..

1.

.77

7711

3U

TS

alt L

ake

City

..

11

..

898

898

898

114

UT

Tooe

le C

o..

.1

..

.40

4011

5U

TU

tah

Co.

(P

rovo

).

1.

1.

.11

836

836

811

6V

AS

myt

h C

o., W

hite

Top

1.

..

..

00

Con

tinue

d ne

xt p

age

TABL

E 4-

48: A

reas

in N

onat

tain

men

t of N

atio

nal A

mbi

ent A

ir Q

ualit

y St

anda

rds

for C

riter

ia P

ollu

tant

s(C

onde

nsed

non

atta

inm

ent a

rea

list a

s of

Sep

tem

ber 2

001)

(Con

tinue

d)

Nu

mb

er o

f ar

eas

in n

on

atta

inm

entc

,dA

rea

po

pu

lati

on

, in

1,0

00sj

Ref

. no

.S

tate

sC

on

solid

ated

no

nat

tain

men

t ar

ea

nam

ebO

3eC

OS

O2

PM

-10

Pb

NO

2O

3C

OS

O2

PM

-10

Pb

Tota

l ex

po

sed

Page 359: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

340 � Chapter 4: Transportation, Energy, and the Environment

117

WA

Spo

kane

.1

.1

..

322

204

322

118

WA

Wal

lula

..

.1

..

00

119

WA

Yaki

ma

..

.1

..

6363

120

WI

Doo

r C

o.1

..

..

.27

2712

0W

IM

anito

woc

Co.

1.

..

..

8282

121

WI

Mar

atho

n C

o. (

Wau

sau)

..

1.

..

125

125

122

WI

Milw

auke

e-R

acin

e1

..

..

.1,

839

1,83

912

4W

VFo

llans

bee

..

.1

..

22

125

WV

New

Man

ches

ter

Gr.

(in H

anco

ck C

o).

.1

..

.9

912

6W

VW

ier.-

But

ler-

Cla

y (in

Han

cock

Co)

..

11

..

1615

1612

7W

YS

herid

an.

..

1.

.15

15

Nat

ion

al t

ota

ls (

127

area

s)c

5815

2668

30

119,

445

35,3

403,

785

32,5

409

128,

599

KE

Y: C

O =

car

bon

mon

oxid

e; N

O2

= n

itrog

en d

ioxi

de; O

3 =

ozo

ne; P

b =

lead

; PM

-10

= p

artic

ulat

e m

atte

r sm

alle

r th

an 1

0 m

icro

ns; S

O2

= s

ulfu

r di

oxid

e; .

= a

ll ar

eas

in a

ttain

men

t for

a p

ar-

ticle

or

pollu

tant

.

aG

uam

(U

.S. t

erri

tory

)b

Thi

s is

a s

impl

ifie

d lis

ting

of

clas

sifi

ed n

onat

tain

men

t ar

eas.

Unc

lass

ifie

d an

d Se

ctio

n 18

5a (

tran

siti

onal

) no

natt

ainm

ent

area

s ar

e no

t in

clud

ed. N

ames

of

nona

t-ta

inm

ent

area

s ar

e lis

ted

alph

abet

ical

ly w

ithi

n ea

ch s

tate

. Not

e th

at s

ever

al s

mal

ler

nona

ttai

nmen

t ar

eas

may

be

insi

de o

ne la

rger

non

atta

inm

ent

area

. In

thes

e ca

ses,

the

sm

alle

r no

natt

ainm

ent

area

s ar

e lis

ted

on t

he s

ame

line

as t

he la

rger

one

, and

the

num

ber

of n

onat

tain

men

t ar

eas

are

indi

cate

d un

der

each

pol

luta

nt.

cN

atio

nal t

otal

incl

udes

Gua

m (

U.S

. ter

rito

ry).

dT

he n

umbe

r of

non

atta

inm

ent

area

s fo

r ea

ch o

f th

e cr

iter

ia p

ollu

tant

s is

list

ed. A

dot

(.)

indi

cate

s th

at a

ll ar

eas

are

in a

ttai

nmen

t fo

r th

at p

ollu

tant

.N

ote

that

the

re a

re n

o ar

eas

in n

onat

tain

men

t fo

r N

O2.

e1-

hour

ozo

ne s

tand

ard.

fO

zone

non

atta

inm

ent

area

is a

por

tion

of

Don

a A

na C

ount

y, N

ew M

exic

o.g

SO2

nona

ttai

nmen

t ar

ea is

a p

orti

on o

f B

oyd

Cou

nty,

Ken

tuck

y.h

Lea

d no

natt

ainm

ent

area

is H

ercu

lane

um, M

isso

uri i

n Je

ffer

son

Cou

nty.

iL

ead

nona

ttai

nmen

t ar

ea is

a p

orti

on o

f L

ewis

and

Cla

rk C

ount

y, M

onta

na.

jPo

pula

tion

fig

ures

wer

e ob

tain

ed f

rom

the

199

0 ce

nsus

dat

a. F

or n

onat

tain

men

t ar

eas

defi

ned

as o

nly

part

ial c

ount

ies,

pop

ulat

ion

figu

res

for

just

the

non

at-

tain

men

t ar

ea w

ere

used

whe

n th

ese

wer

e av

aila

ble.

Oth

erw

ise,

who

le c

ount

y po

pula

tion

fig

ures

wer

e us

ed. W

hen

a la

rger

non

atta

inm

ent

area

enc

ompa

sses

a

smal

ler

one,

dou

ble

coun

ting

the

pop

ulat

ion

in t

he “

Tota

l exp

osed

” co

lum

n is

avo

ided

by

only

cou

ntin

g th

e po

pula

tion

of

the

larg

er n

onat

tain

men

t ar

ea.

The

“To

tal e

xpos

ed”

valu

es r

epre

sent

est

imat

ed p

opul

atio

n liv

ing

in a

reas

tha

t ar

e in

non

atta

inm

ent

for

at le

ast

one

pollu

tant

.

NO

TE

Ref

eren

ce n

umbe

rs 1

-127

do

not

indi

cate

ran

king

.

SOU

RC

EU

.S. E

nvir

onm

enta

l Pro

tect

ion

Age

ncy,

Off

ice

of A

ir Q

ualit

y Pl

anni

ng a

nd S

tand

ards

, Nat

iona

l Air

Qua

lity

and

Em

issi

ons

Tre

nds

Rep

ort,

200

0 (R

esea

rch

Tri

an-

gle

Park

, NC

: 200

2), t

able

A-1

8. I

nter

net

web

site

htt

p://w

ww

.epa

.gov

/air

tren

ds/ a

s of

Sep

t. 1

6, 2

002.

TABL

E 4-

48: A

reas

in N

onat

tain

men

t of N

atio

nal A

mbi

ent A

ir Q

ualit

y St

anda

rds

for C

riter

ia P

ollu

tant

s(C

onde

nsed

non

atta

inm

ent a

rea

list a

s of

Sep

tem

ber 2

001)

(Con

tinue

d)

Nu

mb

er o

f ar

eas

in n

on

atta

inm

entc

,dA

rea

po

pu

lati

on

, in

1,0

00sj

Ref

. no

.S

tate

sC

on

solid

ated

no

nat

tain

men

t ar

ea

nam

ebO

3eC

OS

O2

PM

-10

Pb

NO

2O

3C

OS

O2

PM

-10

Pb

Tota

l ex

po

sed

Page 360: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Air Pollution � 341

TABL

E 4-

49: U

.S. C

arbo

n Di

oxid

e Em

issi

ons

from

Ene

rgy

Use

by S

ecto

r (M

illio

n m

etric

tons

of c

arbo

n)

Sec

tor

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

200

0P

Ind

ust

rial

452.

743

9.8

455.

145

2.9

463.

346

1.1

476.

148

1.5

469.

546

5.8

465.

7R

esid

enti

al25

7.0

261.

626

1.8

278.

427

5.8

277.

929

3.9

292.

829

3.7

298.

831

3.4

Co

mm

erci

al21

0.3

210.

421

0.8

217.

222

0.4

224.

623

3.1

245.

425

0.4

253.

126

7.8

Tran

spo

rtat

ion

431.

842

4.2

431.

143

6.4

449.

345

7.8

468.

947

3.6

481.

549

9.4

514.

8M

otor

gas

olin

e26

0.5

259.

226

3.0

268.

927

3.3

279.

028

4.0

286.

529

2.5

299.

730

1.5

Liqu

id p

etro

leum

gas

0.4

0.3

0.3

0.3

0.6

0.3

0.3

0.2

0.3

0.2

0.2

Jet f

uel

60.1

58.1

57.6

58.1

60.4

60.0

62.7

63.3

64.2

66.3

68.5

Dis

tilla

te fu

el75

.772

.675

.377

.382

.585

.189

.793

.596

.410

1.9

106.

6R

esid

ual f

uel

21.9

22.0

23.0

19.4

19.1

19.7

18.4

15.5

15.2

17.0

23.1

Lubr

ican

ts1.

81.

61.

61.

61.

71.

71.

61.

71.

81.

81.

8A

viat

ion

gas

0.8

0.8

0.8

0.7

0.7

0.7

0.7

0.7

0.7

0.7

0.7

Tota

l pet

role

um42

1.2

414.

642

1.6

426.

443

8.2

446.

545

7.4

461.

547

1.2

487.

62.

5

Nat

ural

gas

9.8

9.0

8.8

9.3

10.2

10.4

10.6

11.3

9.5

11.0

11.4

Ele

ctric

ity0.

70.

70.

70.

70.

90.

80.

80.

80.

90.

90.

9

Tota

l CO

2 em

issi

on

s fr

om

en

d-u

se s

ecto

r en

erg

y co

nsu

mp

tio

n1,

351.

71,

336.

01,

358.

71,

384.

81,

408.

81,

421.

31,

471.

91,

493.

31,

495.

21,

517.

11,

561.

7

Tota

l U.S

. CO

2 em

issi

on

s1,

355.

31,

341.

21,

367.

21,

399.

21,

424.

81,

438.

21,

487.

71,

509.

01,

510.

91,

535.

71,

583.

3

KE

Y: C

O2

= c

arbo

n di

oxid

e; P

= p

relim

inar

y.

NO

TE

SE

lect

ric

utili

ty e

mis

sion

s ar

e di

stri

bute

d ac

ross

end

-use

sec

tors

. Pre

viou

sly,

the

em

issi

ons

due

to n

onut

ility

ele

ctri

city

con

sum

ptio

n us

ed t

o be

allo

cate

d to

the

in

dust

rial

sec

tor.

Star

ting

in 2

000,

the

non

utili

ty e

lect

ric

emis

sion

s w

ere

dist

ribu

ted

acro

ss s

ecto

rs f

or a

ll th

e ye

ars

repo

rted

.N

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.To

ns o

f ca

rbon

can

be

conv

erte

d to

ton

s of

car

bon

diox

ide

gas

by m

ulti

plyi

ng b

y 3.

667.

One

ton

of

carb

on e

qual

s 3.

667

tons

of

carb

on d

ioxi

de g

as.

SOU

RC

EU

.S. D

epar

tmen

t of

Ene

rgy,

Ene

rgy

Info

rmat

ion

Adm

inis

trat

ion,

Em

issi

ons

of G

reen

hous

e G

ases

in t

he U

nite

d St

ates

200

0, p

erso

nal c

omm

unic

atio

n.

Page 361: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 362: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

chapter four

Section EWater Pollution, Noise,

and Solid Waste

Page 363: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 364: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Water Pollution, Noise, and Solid Waste � 345

TABL

E 4-

50: P

etro

leum

Oil

Spill

s Im

pact

ing

Navi

gabl

e U.

S. W

ater

way

s

1985

1990

1995

1996

1997

1998

1999

2000

So

urce

Inci

den

tsG

allo

ns

spill

edIn

cid

ents

Gal

lon

s sp

illed

Inci

den

tsG

allo

ns

spill

edIn

cide

nts

Gal

lons

sp

illed

Inci

den

tsG

allo

ns

spill

edIn

cide

nts

Gal

lons

sp

illed

Inci

den

tsG

allo

ns

spill

edIn

cid

ents

Gal

lon

s sp

illed

Vess

el s

ourc

es

Tank

ship

164

732,

397

249

4,97

7,25

114

812

5,49

112

221

9,31

112

422

,429

104

56,6

7392

8,41

411

160

8,17

6

Tank

bar

ge38

53,

683,

548

457

992,

025

353

1,10

1,93

831

31,

163,

258

252

165,

649

220

248,

089

227

158,

977

229

133,

540

Oth

er v

esse

lsa

1,11

344

6,96

61,

779

417,

882

4,97

739

6,72

45,

151

298,

451

4,97

119

2,80

14,

848

316,

473

5,36

140

9,08

45,

220

291,

927

Tota

l ves

sel s

ourc

es1,

662

4,86

2,91

12,

485

6,38

7,15

85,

478

1,62

4,15

35,

586

1,68

1,02

05,

347

380,

879

5,17

262

1,23

55,

680

576,

475

5,56

01,

033,

643

Non

vess

el s

ourc

es

Offs

hore

pip

elin

es23

17,9

7773

46,2

287

1,14

34

386

1381

010

843

535

,707

417

Ons

hore

pip

elin

es36

275

9,04

076

270,

700

2310

,751

1397

8,00

619

223,

312

3547

,020

2043

321

17,0

04

Oth

erb

2,41

72,

473,

212

2,43

51,

091,

544

1,08

694

6,32

81,

061

429,

911

1,32

427

7,14

31,

508

198,

853

1,59

051

5,24

11,

620

356,

740

Tota

l non

vess

el s

ourc

es2,

802

3,25

0,22

92,

584

1,40

8,47

21,

116

958,

222

1,07

81,

408,

303

1,35

650

1,26

51,

553

246,

716

1,61

555

1,38

11,

645

373,

761

Mys

tery

c1,

705

323,

108

3,10

811

9,37

72,

444

55,8

542,

671

28,5

081,

921

60,4

301,

590

17,3

521,

244

44,5

931,

149

23,9

66

Tota

l all

spill

s6,

169

8,43

6,24

88,

177

7,91

5,00

79,

038

2,63

8,22

99,

335

3,11

7,83

18,

624

942,

574

8,31

588

5,30

38,

539

1,17

2,44

98,

354

1,43

1,37

0

KE

Y: R

= r

evis

ed.

aO

ther

ves

sels

incl

ude

com

mer

cial

ves

sels

, fis

hing

boa

ts, f

reig

ht b

arge

s, f

reig

ht s

hips

, ind

ustr

ial v

esse

ls, o

il re

cove

ry v

esse

ls, p

asse

nger

ves

sels

, unc

lass

ifie

d pu

b-lic

ves

sels

, rec

reat

iona

l boa

ts, r

esea

rch

vess

els,

sch

ool s

hips

, tow

and

tug

boa

ts, m

obile

off

shor

e dr

illin

g un

its,

off

shor

e su

pply

ves

sels

, pub

licly

ow

ned

tank

an

d fr

eigh

t sh

ips,

as

wel

l as

vess

els

not

fitt

ing

any

part

icul

ar c

lass

(un

clas

sifi

ed).

bO

ther

non

vess

el s

ourc

es in

clud

e de

sign

ated

wat

erfr

ont

faci

litie

s, n

onm

arin

e la

nd f

acili

ties

, fix

ed o

ffsh

ore

and

insh

ore

plat

form

s, m

obile

fac

ility

, mun

icip

al

faci

lity,

air

craf

t, la

nd v

ehic

les,

rai

lroa

d eq

uipm

ent,

bri

dges

, fac

tori

es, f

leet

ing

area

s, in

dust

rial

fac

iliti

es, i

ntak

es, l

ocks

, mar

inas

, MA

RPO

L r

ecep

tion

fac

iliti

es,

nonv

esse

l com

mon

car

rier

fac

iliti

es, o

utfa

lls, s

ewer

s, d

rain

s, p

erm

anen

tly

moo

red

faci

litie

s, s

hipy

ards

, shi

p re

pair

fac

iliti

es.

cM

yste

ry s

pills

are

spi

lls f

rom

unk

now

n or

uni

dent

ifie

d so

urce

s. U

.S. C

oast

Gua

rd in

vest

igat

ors

are

unab

le t

o id

enti

fy t

he v

esse

l or

faci

lity

that

spi

lled

the

oil

into

U.S

. nav

igab

le w

ater

s.

SOU

RC

EU

.S. C

oast

Gua

rd, O

il Sp

ill C

ompe

ndiu

m 2

000,

per

sona

l com

mun

icat

ion,

Sep

t. 1

2, 2

001.

Page 365: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

346 � Chapter 4: Transportation, Energy, and the EnvironmentTA

BLE

4-51

: Lea

king

Und

ergr

ound

Sto

rage

Tan

k Re

leas

es a

nd C

lean

ups

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

Tota

l co

nfi

rmed

rel

ease

s87

,528

R12

6,81

618

4,45

723

7,02

227

0,56

730

3,63

531

7,48

834

1,77

337

1,38

739

7,82

141

2,39

241

8,91

8

Cle

anup

s in

itiat

ed51

,770

79,5

0612

9,07

417

1,08

220

9,79

723

8,67

125

2,61

529

2,44

631

4,96

534

6,30

036

7,60

337

9,24

3C

lean

ups

not i

nitia

ted

35,7

58R

47,3

1055

,383

65,9

4060

,770

64,9

6464

,873

49,3

2756

,422

51,5

2144

,789

39,6

75

Cle

anup

s co

mpl

eted

16,9

05R

58,2

58R

99,4

9687

,065

107,

448

131,

272

152,

683

178,

297

203,

247

228,

925

249,

759

268,

833

Rel

ease

s no

t cle

aned

up

70,6

23R

68,5

58R

84,9

6114

9,95

716

3,11

917

2,36

316

4,80

516

3,47

616

8,14

016

8,89

616

2,63

315

0,08

5

KE

Y: R

= r

evis

ed.

NO

TE

SA

ll nu

mbe

rs a

re c

umul

ativ

e.D

ata

repr

esen

t fi

scal

yea

r, O

ctob

er 1

thr

ough

Sep

tem

ber

30.

SOU

RC

ES

1990

: U.S

. Env

iron

men

tal P

rote

ctio

n A

genc

y, O

ffic

e of

Und

ergr

ound

Sto

rage

Tan

ks, p

erso

nal c

omm

unic

atio

ns, N

ov. 1

7 an

d 18

, 199

8.19

91-2

001:

Ibi

d., I

nter

net

site

htt

p://w

ww

.epa

.gov

/sw

erus

t1/c

at/c

amar

chv.

htm

as

of J

uly

31, 2

002.

Page 366: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Water Pollution, Noise, and Solid Waste � 347

TABL

E 4-

52: H

ighw

ay N

oise

Bar

rier C

onst

ruct

ion

(Mile

s)

Un

kno

wn

1970

-79

1980

-89

1990

1991

1992

1993

1994

1995

1996

1997

1998

Tota

l19

70-9

8

Type

I ba

rrie

rsa

d 610

241

944

7811

362

4887

3447

114

1,14

7

Type

II b

arrie

rsb

070

128

1918

1822

1632

1531

2239

1

All

othe

r ty

pesc

N2

280

211

325

60

11

79

Tota

l len

gth

617

557

563

R98

R14

2R

86R

8912

549

7813

71,

623

Cos

t (19

98 $

mill

ions

)N

134

656

8914

418

611

811

215

260

111

169

1,93

1

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

.

aA

Typ

e I

barr

ier

is b

uilt

on

a hi

ghw

ay p

roje

ct t

o co

nstr

uct

a ne

w h

ighw

ay o

r to

phy

sica

lly a

lter

an

exis

ting

hig

hway

. b

A T

ype

II b

arri

er is

bui

lt t

o ab

ate

nois

e al

ong

an e

xist

ing

high

way

(of

ten

refe

rred

to

as r

etro

fit

abat

emen

t) a

nd is

not

man

dato

ry.

cA

ll ot

her

type

s of

bar

rier

s ar

e no

nfed

eral

ly f

unde

d.d

Hav

e no

t be

en a

ssig

ned

a ye

ar o

f co

nstr

ucti

on o

r a

cost

.

NO

TE

SM

iles

have

bee

n co

nver

ted

from

kilo

met

ers.

To

tals

may

not

mat

ch t

he s

um o

f ye

arly

est

imat

es d

ue t

o ro

undi

ng a

nd c

onve

rtin

g fr

om m

etri

c. T

wen

ty-f

our

mile

s of

bar

rier

s, w

hile

ass

igne

d a

year

of

cons

truc

-ti

on, c

anno

t be

ass

igne

d a

cost

. Dat

a ar

e pr

oduc

ed o

n a

3-ye

ar c

ycle

.

SOU

RC

EU

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Off

ice

of E

nvir

onm

ent

and

Plan

ning

, Hig

hway

Tra

ffic

Noi

se B

arri

er C

onst

ruct

ion

Tre

nds

(Was

hing

ton,

DC

: 200

0), t

able

s 1

and

3.

Page 367: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

348 � Chapter 4: Transportation, Energy, and the Environment

TABLE 4-53: Number of People Residing in High Noise Areas Around U.S. Airportsa,b,c (Within 65 dB DNL noise-level contours)

Exposure

YearPeople

(thousands)R

Percent of U.S. resident

population

U.S. resident population (millions)

1975 7,000 3.25 215.5

1980 5,200 2.29 227.21985 3,400 1.43 237.91990 2,700 1.08 R249.51995 1,700 0.65 262.81996 R1,500 0.57 265.2

1997 1,300 0.49 267.8

1998 R1,100 R0.41 270.2

1999 R680 0.25 272.7

2000 R440 R0.16 d282.12001 446 0.16 d284.8

KEY: dB = decibels; DNL = day-night sound level; R = revised.

a Noise-level contours are graphical representations of noise levels on a map, similar to elevation contours on a topographic map. Noise-level contours are lines that join points of equal sound levels. Areas between given noise-level contour lines would have a noise level between the two contour values. The U.S. Department of Transporta-tion, Federal Aviation Administration (FAA) has identified DNL 65 dB as the highest threshold of airport noise exposure that is normally compatible with indoor and outdoor activity associated with a variety of land uses, including residential, recreational, schools, and hospi-tals.

b Estimates are for areas surrounding airport property of 250 of the largest civil airports with jet operations in the United States. They exclude exposure to aircraft noise within an airport boundary.

c 1975 exposure estimates were made by the U.S. Environmental Protec-tion Agency. 1980–2001 estimates were made by FAA. See the source and accuracy statement for more details on how exposure estimates are made.

d Population estimates for 2000 and 2001 reflect the results of the 2000 census. Data prior to 2000 is still based on data from the 1990 cen-sus, but will be updated to reflect the 2000 census in the 2002 edition of the Statistical Abstract of the United States. Therefore, population estimates for 2000 and 2001 may not be comparable to data that does not reflect the 2000 census.

SOURCESExposure:1975-2001: U.S. Department of Transportation, Federal Aviation

Administration, Office of Environment and Energy (AEE-12), per-sonal communication, Sept. 19, 2002.

Population:1975-99: U.S. Department of Commerce, Census Bureau, Statistical

Abstract of the United States 2001 (Washington, DC: 2001), table 2.2000-2001: Ibid., table US-2001EST-01 (“Time Series of National Popu-

lation Estimates: Apr. 1, 2000 to July 1, 2001”).

Page 368: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Water Pollution, Noise, and Solid Waste � 349

TABL

E 4-

54: M

otor

Veh

icle

s Sc

rapp

eda

(Tho

usan

ds)

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

20

0020

01P

asse

nger

car

s7,

461

5,66

98,

405

7,72

98,

897

7,41

47,

527

8,24

46,

819

7,21

68,

085

7,65

0Tr

ucks

837

908

1,73

22,

100

2,17

72,

918

3,28

44,

265

4,84

64,

447

6,21

46,

472

Tota

l mo

tor

veh

icle

s8,

298

6,57

610

,137

9,82

911

,073

10,3

3210

,811

12,5

0911

,665

11,6

6414

,299

14,1

22

KE

Y: R

= r

evis

ed.

aD

ata

are

for

the

peri

od J

uly

1 to

Jun

e 30

of

the

give

n ye

ar.

NO

TE

SFi

gure

s re

pres

ent

vehi

cles

tha

t ar

e no

t re

-reg

iste

red.

Num

bers

may

not

add

due

to

roun

ding

.

SOU

RC

ET

he P

olk

Co.

, per

sona

l com

mun

icat

ion,

Jul

y 31

, 200

2.

Page 369: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 370: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

appendix a

Modal Profiles

Page 371: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 372: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 353

Air C

arrie

r Pro

file

of R

epor

ting

U.S.

Car

riers

Fin

anci

al19

6019

7019

8019

9019

9519

9619

9719

9819

99R

2000

P20

01

Op

erat

ing

rev

enu

es

($ t

ho

usa

nd

s), t

ota

la2,

884,

877

9,28

9,65

832

,882

,441

75,9

50,8

6394

,318

,533

101,

937,

346

109,

567,

602

113,

465,

078

119,

038,

452

130,

299,

258

115,

019,

000

Dom

estic

tota

la,b

,c2,

178,

339

7,18

0,16

126

,440

,297

57,9

60,5

0870

,885

,050

76,8

90,5

2682

,249

,568

86,4

93,7

8990

,931

,479

98,8

95,8

3786

,208

,701

Maj

ors,

all

serv

ices

3 1,9

42,6

353 6

,272

,775

7 23,

012,

073

1453

,333

,552

1464

,317

,169

1470

,036

,709

1474

,942

,391

1477

,650

,810

1482

,615

,015

1489

,290

,585

1478

,610

,562

Nat

iona

ls, a

ll se

rvic

es14

6,48

173

6,83

13,

182,

418

15 4

,167

,552

155,

935,

773

15 5

,990

,391

15 6

,163

,458

15 8

,113

,690

157,

789,

636

15 9

,104

,701

15 7

,147

,710

Larg

e re

gion

als,

all

serv

ices

NN

245,

806

1645

9,40

416

632

,108

1686

3,42

616

1,14

3,71

916

729,

289

1652

6,82

816

500

,551

1645

0,42

9

Inte

rnat

iona

l tot

alc

705,

938

2,10

9,49

76,

442,

144

17,9

90,3

5523

,433

,483

25,0

46,8

2027

,318

,034

26,9

71,2

8928

,106

,973

31,4

03,4

2128

,810

,299

Maj

ors,

all

serv

ices

705,

938

2,10

9,49

78 5

,976

,221

1416

,761

,376

1419

,892

,111

14 2

1,52

4,27

414

23,

608,

853

14 2

3,35

6,23

314

24,6

71,1

5214

28,

100,

884

1425

,872

,642

Nat

iona

ls, a

ll se

rvic

esN

N46

5,92

315

901

,352

153,

282,

606

153,

326,

467

15 3

,376

,014

153,

161,

212

153,

142,

217

15 2

,909

,590

152,

483,

359

Larg

e re

gion

als,

all

serv

ices

NN

N16

327

,627

16 2

58,7

6616

196,

079

1633

3,16

616

453,

844

1629

3,60

416

392,

947

1645

4,29

8

Op

erat

ing

exp

ense

s ($

th

ou

san

ds)

, to

tala

2,71

7,75

49,

067,

273

33,1

08,0

9477

,867

,566

88,4

54,9

5695

,728

,276

100,

980,

807

104,

137,

267

110,

635,

417

123,

314,

280

125,

058,

578

Dom

estic

tota

la,c

2,05

2,09

47,

001,

668

26,4

65,9

9958

,953

,086

66,1

19,6

9971

,573

,073

75,7

31,2

1578

,388

,515

84,3

28,3

2093

,578

,562

94,3

02,6

19

Maj

ors,

all

serv

ices

1,90

7,78

56,

256,

039

7 23

,150

,527

1454

,209

,401

1459

,721

,080

14 6

4,79

3,76

314

68,

307,

270

14 7

0,11

4,85

214

76,

506,

077

14 8

4,20

8,51

414

86,3

75,9

06

Nat

iona

ls, a

ll se

rvic

es14

4,30

974

5,62

93,

058,

289

15 4

,297

,823

155,

750,

372

15 5

,847

,797

15 6

,163

,923

15 7

,500

,451

15 7

,299

,934

158,

824,

795

157,

441,

752

Larg

e re

gion

als,

all

serv

ices

NN

257,

183

1644

5,86

216

648

,247

16 9

31,5

1316

1,2

60,0

2116

773

,212

16 5

22,3

0916

545,

253

1648

4,96

1

Inte

rnat

iona

l tot

alc

665,

660

2,06

5,60

56,

642,

095

18,9

14,4

8022

,335

,257

24,1

55,2

0325

,249

,593

25,7

48,7

5226

,307

,097

29,7

35,7

1830

,755

,959

Maj

ors,

all

serv

ices

665,

660

2,06

5,60

58

6,17

1,36

614

17,7

46,0

0614

19,0

61,2

5814

20,

807,

517

14 2

1,68

8,64

214

22,

321,

441

14 2

3,21

8,93

814

26,

645,

342

1427

,655

,517

Nat

iona

ls, a

ll se

rvic

esN

N47

0,72

915

853,

361

15 3

,025

,707

15 3

,166

,097

15 3

,253

,249

15 3

,014

,282

15 2

,815

,341

152,

659,

021

152,

622,

724

Larg

e re

gion

als,

all

serv

ices

NN

N16

315,

113

16 2

48,2

9216

181

,589

16 3

07,7

0216

413

,029

16 2

72,8

1916

431,

355

1647

7,71

8

Inve

nto

ryd

Lar

ge

carr

iers

, to

tale

,155

3966

5989

9082

8082

R76

69

Maj

ors

NN

1412

1112

1313

1314

15

Nat

iona

lsN

N18

1527

3131

2731

R33

27

Reg

iona

lsN

N34

3251

4738

4038

2927

Lar

ge

carr

iers

2 av

aila

ble

for

serv

ice

2,13

52,

690

2,81

84,

727

5,56

75,

961

5,77

06,

144

6,25

46,

522

6,08

1

Maj

ors

NN

2,07

13,

854

4,03

94,

422

4,35

24,

605

4,71

15,

118

4,99

6

Nat

iona

lsN

N43

265

01,

143

1,16

796

71,

113

1,31

91,

182

952

Reg

iona

lsN

N31

522

338

537

245

142

622

422

213

3

Lar

ge

carr

ier1

em

plo

yees

169,

872

304,

690

354,

264

588,

926

610,

363

634,

866

656,

243

696,

408

728,

495

732,

049

653,

488

Maj

ors

118,

189

214,

021

318,

973

549,

100

533,

313

564,

631

597,

953

623,

389

650,

267

672,

294

607,

857

Nat

iona

ls12

,470

24,9

1329

,922

32,0

7759

,444

56,5

8647

,662

59,6

2068

,138

56,0

5641

,865

Reg

iona

lsN

N5,

369

7,74

917

,606

13,6

4910

,628

13,3

9910

,090

3,69

93,

766

Con

tinue

d ne

xt p

age

Page 373: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

354 � Appendix A: Modal Profiles

Per

form

ance

19

6019

7019

8019

9019

9519

9619

9719

9819

99R

2000

P20

01

Air

craf

t re

ven

ue-

mile

s(t

ho

usa

nd

s), t

ota

la1,

040,

056

2,54

2,26

42,

924,

346

4,72

3,60

15,

627,

052

5,85

4,76

66,

024,

764

6,22

7,18

06,

557,

701

7,05

6,53

46,

807,

928

Dom

estic

b

Larg

e ca

rrie

rs, a

ll se

rvic

esa

4 858

,451

4 2,0

67,5

989 2

,523

,375

173,

963,

263

174,

629,

394

174,

811,

453

174,

910,

948

175,

034,

691

175,

332,

483

175,

664,

281

175,

549,

881

Maj

or, a

ll se

rvic

esa

716,

961

1,77

8,06

52,

113,

669

183,

547,

339

183,

953,

287

184,

083,

664

184,

191,

113

184,

260,

052

184,

598,

092

184,

784,

663

184,

676,

556

Nat

iona

ls, a

ll se

rvic

esa

94,7

9424

7,05

533

0,52

819

351,

946

1956

9,64

119

614,

519

1959

4,24

119

702,

913

1966

8,64

619

813,

061

1981

5,03

6

Larg

e re

gion

als,

all

serv

ices

aN

N56

,995

2060

,542

2085

,363

2096

,573

2011

2,68

220

51,1

9920

47,4

3820

52,9

4120

33,3

65

Inte

rnat

iona

l

Larg

e ca

rrie

rs, a

ll se

rvic

esa

181,

605

474,

666

1040

0,97

121

760,

338

2199

7,65

821

1,04

3,31

321

1,11

3,81

621

1,19

2,48

921

1,22

5,21

821

1,28

1,70

621

1,25

8,04

7

Maj

or, a

ll se

rvic

esa

NN

330,

391

2266

6,23

122

822,

283

2285

9,48

322

917,

109

221,

003,

726

221,

053,

219

221,

117,

712

221,

117,

172

Nat

iona

ls, a

ll se

rvic

esa

NN

66,4

9923

48,8

1223

141,

870

2315

0,14

723

145,

821

2314

5,49

423

138,

135

2313

2,49

723

115,

150

Larg

e re

gion

als,

all

serv

ices

aN

N2,

948

2460

,542

2427

,761

2422

,519

2447

,138

2440

,398

2429

,474

2427

,890

2421

,298

Med

ium

reg

iona

ls, a

ll se

rvic

es,

dom

estic

and

inte

rnat

iona

laN

N23

,204

119,

017

1128

,847

1127

,861

1116

,660

1121

,024

1122

,697

1117

,223

1129

,351

Air

craf

t re

ven

ue-

ho

urs

, to

tala

4,28

1,63

66,

110,

486

7,19

0,72

411

,298

,194

13,3

99,1

9413

,985

,353

14,2

95,6

9414

,839

,578

15,5

47,9

9916

,501

,365

16,0

66,1

92

Dom

estic

b

Larg

e ca

rrie

rs, a

ll se

rvic

esa

3,67

2,90

05,

133,

161

9 6,2

47,7

9517

9,71

7,37

517

11,3

78,1

3417

11,8

71,8

8617

12,0

60,2

5317

12,4

45,4

8317

13,0

91,2

7317

13,9

05,4

7217

13,5

10,3

65

Maj

or, a

ll se

rvic

esa

2,80

2,31

74,

066,

480

4,94

1,32

718

8,52

4,23

618

9,25

7,26

018

9,58

4,52

518

9,82

8,41

818

9,95

7,39

018

10,8

63,1

7818

11,3

08,8

2018

11,0

19,4

06

Nat

iona

ls, a

ll se

rvic

esa

606,

146

908,

935

919,

187

191,

016,

491

191,

839,

835

191,

981,

219

191,

882,

975

192,

299,

916

192,

053,

335

19 2

,419

,285

192,

314,

886

Larg

e re

gion

als,

all

serv

ices

aN

N26

7,52

220

167,

826

2022

3,00

720

260,

985

20 3

15,5

0620

143,

197

2012

6,60

220

142,

900

2094

,600

Inte

rnat

iona

l

Larg

e ca

rrie

rs, a

ll se

rvic

esa

608,

736

977,

325

1081

9,51

821

1,55

6,76

021

2,02

1,06

021

2,11

3,46

721

2,23

5,44

121

2,39

4,09

521

2,45

6,72

621

2,59

5,89

321

2,55

5,82

7

Maj

or, a

ll se

rvic

esa

NN

668,

199

221,

351,

349

221,

634,

465

221,

712,

416

221,

819,

583

221,

992,

776

222,

090,

817

22 2

,229

,167

222,

234,

964

Nat

iona

ls, a

ll se

rvic

esa

NN

140,

329

2310

1,53

323

314,

066

2332

9,31

123

309,

948

2331

1,54

023

290,

582

2329

9,25

923

265,

463

Larg

e re

gion

als,

all

serv

ices

aN

N7,

583

2488

,641

2459

,572

2448

,619

2497

,304

2483

,437

2462

,658

2460

,381

2446

,005

Med

ium

reg

iona

ls, a

ll se

rvic

es,

dom

estic

and

inte

rnat

iona

laN

N12

3,41

111

24,0

5911

70,9

8911

68,2

7811

41,9

6011

51,3

2211

60,8

2711

41,5

5311

90,8

68

Rev

enu

e p

asse

ng

er-m

iles

(th

ou

san

ds)

, to

tala

40,0

49,6

1614

8,13

7,37

026

7,97

2,55

747

2,56

6,49

555

8,75

7,05

159

6,16

3,69

761

9,96

8,58

263

5,51

7,39

566

8,62

5,90

770

8,92

6,28

366

4,84

1,30

1

Dom

estic

b

Larg

e ca

rrie

rs, a

ll se

rvic

es31

,098

,944

108,

441,

978

9 204

,367

,599

1734

,872

,950

1740

3,88

7,80

217

434,

651,

687

1745

0,61

2,48

217

463,

262,

198

1748

8,35

6,86

917

516,

128,

630

1748

6,45

9,38

9

Maj

ors,

all

serv

ices

29,4

30,4

2899

,903

,229

182,

984,

795

1832

7,11

2,62

018

368,

701,

100

1839

5,09

9,25

418

410,

906,

050

1842

1,21

7,66

518

451,

399,

646

1847

2,28

4,79

418

440,

400,

186

Nat

iona

ls, a

ll se

rvic

es1,

170,

779

7,64

2,07

120

,466

,712

1916

,756

,818

19 2

9,25

5,17

919

33,0

00,5

4619

33,2

41,0

8219

37,6

99,0

6319

33,2

67,4

6919

40,5

49,1

1319

43,5

22,7

61

Larg

e re

gion

als,

all

serv

ices

NN

711,

868

201,

752,

615

204,

381,

267

205,

443,

071

205,

778,

338

203,

124,

802

202,

627,

816

20 2

,527

,254

201,

709,

092

Inte

rnat

iona

l

Larg

e ca

rrie

rs, a

ll se

rvic

es4 8

,950

,672

4 39,

695,

392

1063

,354

,387

2112

6,36

2,69

721

154,

869,

249

2116

1,51

2,01

021

169,

356,

100

2117

2,25

5,19

721

180,

269,

038

2119

2,79

7,65

321

178,

381,

912

Maj

ors,

all

serv

ices

NN

54,3

18,1

6022

118,

268,

507

2213

7,98

6,52

022

145,

330,

811

2215

3,56

4,95

622

157,

398,

986

2216

8,17

5,06

022

181,

585,

899

2216

9,32

5,35

0

Air C

arrie

r Pro

file

of R

epor

ting

U.S.

Car

riers

(Con

tinue

d)

Page 374: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 355

Per

form

ance

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

R20

00 P

2001

Nat

iona

ls, a

ll se

rvic

esN

N8,

659,

592

236,

794,

533

2316

,128

,695

2314

,681

,127

2313

,616

,245

23 1

3,47

1,79

823

9,64

9,71

023

8,4

47,9

1623

7,7

59,7

41

Larg

e re

gion

als,

all

serv

ices

NN

330,

288

241,

219,

706

2467

6,92

524

505,

337

24 2

,148

,486

241,

097,

330

242,

145,

931

24 2

,675

,654

241,

185,

896

Med

ium

reg

iona

ls, a

ll se

rvic

es,

dom

estic

and

inte

rnat

iona

laN

N25

0,57

111

330,

848

111,

627,

365

112,

103,

551

1171

3,42

511

1,50

7,75

111

1,36

0,27

511

855,

653

1193

8,27

5

Ave

rag

e p

asse

ng

er r

even

ue

/ pas

sen

ger

-mile

c

(Dom

estic

, sch

edul

ed s

ervi

ce)

6.09

6.00

11.4

913

.43

13.4

813

.76

13.9

714

.08

13.7

214

.35

13.1

5

Ave

rag

e p

asse

ng

er f

arec

(Dom

estic

, sch

edul

ed s

ervi

ce)

30.0

140

.65

84.6

010

7.86

106.

6611

0.37

114.

10R

114.

08R

114.

9912

1.27

112.

17

Rev

enu

e p

asse

ng

er

enp

lan

emen

ts (

tho

usa

nd

s),

tota

la

62,2

5616

9,92

230

2,82

147

5,19

355

9,65

359

2,90

960

5,50

262

4,71

064

6,87

267

7,60

663

1,53

9

Dom

estic

b

Larg

e ca

rrie

rs, a

ll se

rvic

esa

4 56,

352

4 153

,662

9 27

5,18

217

428,

767

1750

6,78

917

538,

394

1754

8,73

517

566,

951

1758

9,17

017

616,

778

1757

4,86

8

Maj

or, a

ll se

rvic

esa

48,6

7812

2,86

622

3,23

718

393,

927

1844

1,65

018

466,

743

18 4

78,2

5318

486,

903

1851

9,76

018

537

,379

1849

6,45

3

Nat

iona

ls, a

ll se

rvic

esa

5,94

926

,726

47,1

4519

32,

015

19 5

5,65

619

62,

183

1961

,316

1974

,281

19 6

5,07

219

76,

092

19 7

5,60

0

Larg

e re

gion

als,

all

serv

ices

aN

N3,

748

20 2

,566

20 7

,136

20 7

,887

208,

203

204,

352

203,

152

202,

226

201,

343

Inte

rnat

iona

l

Larg

e ca

rrie

rs, a

ll se

rvic

esa

5,90

416

,620

1026

,514

2146

,126

2152

,864

2154

,515

2156

,767

2157

,759

2157

,702

2160

,828

2156

,671

Maj

or, a

ll se

rvic

esa

NN

23,9

4922

42,2

0722

44,1

5522

46,3

0222

48,6

1422

49,6

1022

50,6

0422

53,1

5722

50,0

77

Nat

iona

ls, a

ll se

rvic

esa

NN

2,34

323

2,63

223

8,11

423

7,40

123

6,89

623

7,0

3823

5,44

623

5,78

823

5,68

6

Larg

e re

gion

als,

all

serv

ices

aN

N14

924

1,24

624

556

2440

524

1,23

124

940

241,

404

241,

810

2480

6

Med

ium

reg

iona

ls, a

ll se

rvic

es,

dom

estic

and

inte

rnat

iona

laN

N1,

125

1130

011

2,38

611

1,98

811

989

111,

586

111,

434

111,

154

111,

574

Rev

enu

e p

asse

ng

er

Lo

ad f

acto

r (p

erce

nt)

(sc

hed

ule

d s

ervi

ce)

Dom

estic

b

Larg

e ca

rrie

rs58

.548

.99

58.0

1760

.417

65.4

1767

.917

69.1

1770

.017

69.8

1771

.217

69.1

Maj

ors

59.5

49.3

58.1

1860

.618

65.7

1868

.518

69.7

1870

.418

70.3

1871

.618

69.3

Nat

iona

ls41

.943

.658

.419

56.6

1961

.919

61.5

1963

.219

65.1

1964

.719

66.5

1967

Larg

e re

gion

als

NN

47.7

1048

.720

5620

60.4

2060

.720

58.8

2042

.420

59.2

2070

.4

Inte

rnat

iona

l

Larg

e ca

rrie

rs62

.253

.010

62.

821

69.1

2171

.821

73.3

2174

.121

72.8

2174

.421

76.0

2172

.8

Maj

ors

NN

62.8

2269

.122

72.1

2273

.722

74.

422

72.9

2274

.522

76.1

2272

.9

Nat

iona

ls

NN

65.5

2373

.423

67.7

2367

.823

69.6

2370

.923

73.7

2373

.423

70

Larg

e re

gion

als

NN

73.9

2466

.524

44.5

240.

024

64.9

2446

.024

U24

58.0

2467

Med

ium

reg

iona

ls, a

ll se

rvic

es,

dom

estic

and

inte

rnat

iona

laN

N11

46.7

110.

011

59.3

1166

.711

49.7

1158

.211

58.3

1135

.511

51.6

Con

tinue

d ne

xt p

age

Air C

arrie

r Pro

file

of R

epor

ting

U.S.

Car

riers

(Con

tinue

d)

Page 375: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

356 � Appendix A: Modal Profiles

Per

form

ance

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

R20

00P20

01U

.S. i

nte

rnat

ion

al p

asse

ng

er t

rave

l by

flag

of

carr

ier

Tota

l pas

seng

er-a

rriv

als

(tho

usan

ds)

Uni

ted

Sta

tes

5 1,3

325 5

,531

1210

,031

12 1

9,14

525

24,5

8212

25,

148

12 2

6,74

412

27,3

9012

27,

462

1229

,837

12 2

7,98

5

For

eign

1,23

44,

343

10,2

3117

,269

22,3

2824

,704

27,5

7128

,791

30,3

2432

,380

28,7

15

Tota

l pas

seng

er-d

epar

ture

s (t

hous

ands

)

Uni

ted

Sta

tes

1,20

04,

949

9,36

917

,628

22,2

3122

,901

24,3

0224

,513

25,4

5727

,431

25,4

83

For

eign

1,13

64,

147

9,88

616

,418

20,7

9522

,884

25,3

8226

,350

28,3

9930

,068

27,1

11

Tota

l rev

enu

e to

n-m

iles

(th

ou

san

ds)

, to

tals

a,f

5,02

4,28

520

,185

,503

34,6

82,1

5363

,770

,534

79,2

05,7

6584

,504

,471

89,6

03,1

8691

,650

,972

95,8

42,8

5810

1,75

6,63

594

,377

,089

Dom

estic

b

Larg

e ca

rrie

rs, a

ll se

rvic

es4 3

,732

,949

4 13,

876,

802

9 24,

964,

907

1743

,651

,162

1752

,910

,081

1756

,326

,750

1758

,658

,887

1760

,199

,459

1763

,032

,722

1766

,595

,204

1761

,945

,030

Maj

ors,

all

serv

ices

3,33

2,48

312

,589

,057

21,4

27,5

3418

39,1

07,0

3318

47,0

15,6

4218

50,0

96,6

6118

52,2

54,3

2318

53,4

24,3

4918

56,6

96,4

2718

59,0

95,4

0618

54,6

78,4

41

Nat

iona

ls, a

ll se

rvic

es12

1,15

785

0,47

73,

336,

057

193,

561,

283

194,

996,

345

1923

1,39

819

5,3

17,5

7619

6,01

2,66

519

5,70

5,15

819

6,79

9,19

819

6,51

9,15

8

Larg

e re

gion

als,

all

serv

ices

NN

180,

042

2094

5,92

920

718,

659

2086

3,44

920

971,

942

2050

8,17

220

507,

053

2058

8,97

520

512,

007

Inte

rnat

iona

l

Larg

e ca

rrie

rs, a

ll se

rvic

es1,

291,

336

6,30

8,70

110

9,68

9,06

721

19,9

75,9

1521

26,

295,

684

2128

,177

,721

2130

,944

,299

2131

,481

,513

2132

,810

,136

2135

,161

,431

2132

,432

,059

Maj

ors,

all

serv

ices

NN

7,37

7,73

322

17,8

03,8

2522

21,

517,

789

2222

,880

,295

2224

,971

,379

22 2

5,79

4,34

422

27,9

49,8

7622

30,6

83,5

6422

28,3

11,3

86

Nat

iona

ls, a

ll se

rvic

esN

N2,

261,

534

231,

229,

849

234,

116,

380

234,

603,

920

234,

657,

365

234,

376,

654

234,

257,

520

23 3

,815

,162

233,

469,

902

Larg

e re

gion

als,

all

serv

ices

NN

44,4

3824

835,

701

2451

3,47

624

396,

142

241,

240,

303

241,

269,

602

2456

6,68

924

565

,198

2449

5,96

8

Med

ium

reg

iona

ls, a

ll se

rvic

es,

dom

estic

and

inte

rnat

iona

laN

N28

,178

1114

3,45

711

327,

474

1143

2,60

611

190,

298

1126

5,18

611

160,

135

1120

9,13

211

390,

227

Rev

enu

e to

n-m

iles

of

frei

gh

t (t

ho

usa

nd

s), t

ota

lsa,

f82

0,90

73,

755,

436

7,88

4,81

116

,513

,896

23,3

74,6

7724

,892

,479

27,6

10,0

9728

,101

,978

28,9

84,1

6430

,863

,039

27,8

81,6

23

Dom

estic

b

Larg

e ca

rrie

rs, a

ll se

rvic

es55

2,75

62,

708,

900

9 4,5

28,3

1617

9,06

3,86

417

12,5

20,0

5717

12,8

60,8

4517

13,6

01,4

1217

13,8

39,6

0517

14,2

01,9

3317

14,9

82,6

1517

13,2

87,6

03

Maj

ors,

all

serv

ices

321,

176

U3,

129,

087

186,

395,

767

1810

,145

,537

1810

,586

,741

1811

,163

,518

1811

,302

,583

1811

,556

,463

1811

,866

,926

1810

,630

,939

Nat

iona

ls, a

ll se

rvic

es3,

850

U1,

289,

510

191,

885,

600

192,

070,

570

191,

931,

201

191,

993,

498

192,

239,

140

192,

378,

206

19 2

,744

,086

192,

166,

601

Larg

e re

gion

als,

all

serv

ices

NN

108,

864

2077

0,67

020

280,

512

2031

8,54

220

398,

153

2019

5,79

120

249,

706

2033

7,06

820

341,

096

Inte

rnat

iona

l

Larg

e ca

rrie

rs, a

ll se

rvic

es4 2

68,1

564 1

,566

,105

103,

353,

371

217,

339,

660

2 10,

854,

620

2112

,031

,634

2114

,008

,685

2114

,262

,373

2114

,782

,231

2115

,880

,424

2114

,594

,020

Maj

ors,

all

serv

ices

NN

1,94

5,66

022

5,97

6,97

322

7,71

9,13

822

8,34

7,21

422

9,61

4,88

122

10,0

54,4

4822

11,1

32,3

7022

12,5

24,9

7722

11,3

78,8

51

Nat

iona

ls, a

ll se

rvic

esN

N1,

395,

575

2355

0,40

923

2,54

9,37

123

3,14

0,92

123

3,2

95,7

3823

3,03

5,85

323

3,2

91,5

4923

2,9

70,3

7023

2,69

3,92

7

Larg

e re

gion

als,

all

serv

ices

NN

11,4

0924

713,

733

2444

5,78

324

345,

609

24 1

,025

,455

241,

159,

869

24 3

52,0

9524

296

,387

2437

7,38

0

Med

ium

reg

iona

ls, a

ll se

rvic

es,

dom

estic

and

inte

rnat

iona

laN

N3,

124

1111

0,37

211

163,

766

1122

2,25

111

118,

854

1111

4,29

411

23,7

7511

123,

225

1129

2,82

9

Air C

arrie

r Pro

file

of R

epor

ting

U.S.

Car

riers

(Con

tinue

d)

Page 376: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 357

Saf

ety

1960

1970

1980

1990

1995

1996

1997

1998

1999

R20

00P20

01

Air

car

rier

fat

alit

ies,

to

tala

6 499

6 146

143

R96

229

457

9346

6216

860

4

Ope

ratin

g un

der

14 C

FR

121

(airl

ines

)

Sch

edul

ed s

ervi

ces

NN

13 0

1339

13 1

6613

342

13 3

112

13 9

253

1

Non

sche

dule

d se

rvic

esN

N1

02

385

00

00

Ope

ratin

g un

der

14 C

FR

135

Sch

edul

ed s

ervi

ces

(com

mut

ers)

NN

37R

69

1446

012

513

Non

sche

dule

d se

rvic

es

(on–

dem

and

air

taxi

s)N

N10

551

5263

3945

3871

60

Air

car

rier

acc

iden

ts, t

ota

la6 9

06 5

522

814

612

313

814

713

513

8R

150

119

Ope

ratin

g un

der

14 C

FR

121

(airl

ines

)

Sch

edul

ed s

ervi

ces

NN

1522

3432

4443

R47

R51

36

Non

sche

dule

d se

rvic

esN

N4

22

55

7R

5R

64

Ope

ratin

g un

der

14 C

FR

135

Sch

edul

ed s

ervi

ces

(com

mut

ers)

NN

3815

1211

168

1312

7

Non

sche

dule

d se

rvic

es(o

n–de

man

d ai

r ta

xis)

NN

171

107

7590

8277

73R

8172

Fat

al a

ir c

arri

er a

ccid

ents

, to

tala

6 17

6 8

55R

3829

3524

1819

2626

Ope

ratin

g un

der

14 C

FR

121

(ai

rlin

es)

Sch

edul

ed s

ervi

ces

NN

06

23

31

23

6

Non

sche

dule

d se

rvic

esN

N1

01

21

00

00

Ope

ratin

g un

der

14 C

FR

135

Sch

edul

ed s

ervi

ces

(com

mut

ers)

NN

8R

32

15

05

12

Non

sche

dule

d se

rvic

es

(on–

dem

and

air

taxi

s)N

N46

2924

2915

1712

2218

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aTo

tals

incl

ude

data

not

in t

able

; thu

s to

tals

may

not

equ

al s

um o

f ta

ble

data

. b

Dom

esti

c en

com

pass

es o

pera

tion

s w

ithi

n an

d be

twee

n th

e 50

sta

tes

of t

he U

nite

d St

ates

, the

Dis

tric

t of

Col

umbi

a, P

uert

o R

ico,

and

the

Vir

gin

Isla

nds.

It

also

en

com

pass

es C

anad

ian

and

Mex

ican

tra

nsbo

rder

ope

rati

ons

(U.S

. air

lines

onl

y). A

ll ot

her

oper

atio

ns a

re c

onsi

dere

d in

tern

atio

nal.

cTo

tal i

nclu

des

maj

or, n

atio

nals

, and

larg

e re

gion

als.

dIn

clud

es s

ched

uled

and

non

sche

dule

d (c

hart

er)

oper

ator

s. B

y Se

c. 2

of

the

Air

line

Der

egul

atio

n A

ct o

f 19

78 “

char

ter

air

carr

ier”

and

“ch

arte

r ai

r tr

ansp

orta

-ti

on”

repl

aced

sup

plem

enta

l air

car

rier

s an

d su

pple

men

tal a

ir t

rans

port

atio

n, w

hich

wer

e fo

rmer

ly S

ec. 1

01(3

6) a

nd (

37)

of t

he A

ct. T

he 2

4 pr

e-de

regu

lati

on

supp

lem

enta

l car

rier

s no

w h

ave

sche

dule

d se

rvic

e au

thor

ity.

eTo

tal i

nclu

des

only

tho

se c

arri

ers

who

hav

e re

port

ed e

mpl

oym

ent

stat

isti

cs t

o B

TS'

Off

ice

of A

irlin

e In

form

atio

n.f

Tota

l Rev

enue

Ton

-Mile

s in

clud

es p

asse

nger

, fre

ight

, exp

ress

, and

mai

l.C

ontin

ued

next

pag

e

Air C

arrie

r Pro

file

of R

epor

ting

U.S.

Car

riers

(Con

tinue

d)

Page 377: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

358 � Appendix A: Modal ProfilesAi

r Car

rier P

rofil

e o

f Rep

ortin

g U.

S. C

arrie

rs (C

ontin

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SOU

RC

ES

Unl

ess

othe

rwis

e no

ted,

ref

er t

o ch

apte

r ta

bles

for

sou

rces

.1

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, O

ffic

e of

Air

line

Info

rmat

ion,

htt

p://w

ww

.bts

.gov

/oai

/em

ploy

ees/

empl

oyco

v.ht

ml a

s of

Sep

t. 4

, 200

2.2

Ibid

., pe

rson

al c

omm

unic

atio

n, S

ept.

10,

200

2.

3 C

ivil

Aer

onau

tics

Boa

rd, H

andb

ook

of A

irlin

e St

atis

tics

, 196

9 an

d 19

73 (

Was

hing

ton,

DC

), p

p. 6

9 an

d 71

.4

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., 19

73, (

Was

hing

ton,

DC

), P

art

III,

tab

les

2, 4

, 7, a

nd 1

3.5

U.S

. Dep

artm

ent

of J

usti

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mm

igra

tion

and

Nat

ural

izat

ion

Serv

ice,

Rep

ort

of P

asse

nger

Tra

vel B

etw

een

the

U.S

. and

For

eign

Cou

ntri

es, 1

960,

197

0 (

Was

h-in

gton

, DC

).6

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

, Int

erne

t si

te h

ttp:

//ww

w.n

tsb.

gov/

avia

tion

/sta

ts.h

tm a

s of

Aug

ust

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, per

sona

l com

mun

icat

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7 C

ivil

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tics

Boa

rd, A

ir C

arri

er F

inan

cial

Sta

tist

ics,

Dec

embe

r 19

81 (

Was

hing

ton,

DC

), p

p. 3

/28,

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id.,

pp. 4

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.9

Civ

il A

eron

auti

cs B

oard

, Air

Car

rier

Tra

ffic

Sta

tist

ics,

Dec

embe

r 19

81 (

Was

hing

ton,

DC

), p

p. 2

, 5, 4

6, a

nd 8

4.10

Ibi

d., p

p. 3

, 6, 8

5, a

nd 1

15.

11 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, (pr

e-19

95, U

.S. D

epar

tmen

t of

Tra

nspo

rtat

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Res

earc

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d Sp

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l Pro

gram

s A

dmin

istr

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n), A

ir C

arri

er T

raff

ic S

tati

stic

s, (

Was

hing

ton,

DC

: Ann

ual D

ecem

ber

issu

e), p

. 187

and

sim

ilar

page

s in

ear

lier

edit

ions

.12

U.S

. Dep

artm

ent

of T

rans

port

atio

n, R

esea

rch

and

Spec

ial P

rogr

ams

Adm

inis

trat

ion,

U.S

. Int

erna

tion

al A

ir T

rave

l Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual

issu

es),

tab

les

IIa

and

IId.

13 N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, I

nter

net

site

htt

p://w

ww

.nts

b.go

v/av

iati

on/s

tats

.htm

as

of A

ugus

t 20

02, t

able

s 6-

9.14

U.S

. Dep

artm

ent

of T

rans

port

atio

n, B

urea

u of

Tra

nspo

rtat

ion

Stat

isti

cs, (

pre-

1995

, U.S

. Dep

artm

ent

of T

rans

port

atio

n, R

esea

rch

and

Spec

ial P

rogr

ams

Adm

inis

trat

ion)

, Air

Car

rier

Fin

anci

al S

tati

stic

s, (

Was

hing

ton,

DC

: Ann

ual D

ecem

ber

issu

e) p

. 3.

15 I

bid.

, p. 3

7 an

d si

mila

r pa

ges

in e

arlie

r ed

itio

ns.

16 I

bid.

, pp.

72-

73 a

nd s

imila

r pa

ges

in e

arlie

r ed

itio

ns.

17 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, (pr

e-19

95, U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Res

earc

h an

d Sp

ecia

l Pro

gram

s A

dmin

istr

atio

n), A

ir C

arri

er T

raff

ic S

tati

stic

s, (

Was

hing

ton,

DC

: Ann

ual D

ecem

ber

issu

e), p

. 2.

18 I

bid.

, p. 5

. 19

Ibid

., p.

67

and

sim

ilar

page

s in

ear

lier

edit

ions

20 Ib

id.,

p. 1

48 a

nd s

imila

r pa

ges

in e

arlie

r ed

itio

ns.

21 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, (pr

e-19

95, U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Res

earc

h an

d Sp

ecia

l Pro

gram

s A

dmin

istr

atio

n), A

ir C

arri

er T

raff

ic S

tati

stic

s, (

Was

hing

ton,

DC

: Ann

ual D

ecem

ber

issu

e), p

. 3.

22 Ib

id.,

p. 6

23

Ibi

d., p

. 68

and

sim

ilar

page

s in

ear

lier

edit

ions

.24

Ibi

d., p

. 149

and

sim

ilar

page

s in

ear

lier

edit

ions

. 25

U.S

. Dep

artm

ent

of C

omm

erce

, Int

erna

tion

al T

rade

Adm

inis

trat

ion,

U.S

. Int

erna

tion

al A

ir P

asse

nger

Sta

tist

ics

Rep

ort,

Cal

enda

r Y

ear

1995

, (W

ashi

ngto

n,

DC

), t

able

s II

a an

d II

d.

Page 378: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 359

Gene

ral A

viat

ion

Prof

ile

Fin

anci

al19

6019

7019

8019

9019

9519

9619

9719

9819

9920

00E

xpen

dit

ure

s ($

mill

ion

s)

Airc

raft1

202

339

2,85

33,

398

4,26

05,

298

7,17

49,

573

11,2

62U

Ope

ratin

g co

sts

693

1,69

65,

200

6,50

96,

119

6,30

76,

623

6,79

96,

291

UTo

tal

895

2,03

58,

053

9,90

710

,379

11,6

0513

,797

16,3

7217

,553

UIn

ven

tory

Nu

mb

er o

f ac

tive

air

craf

t b

y p

rim

ary

use

Cor

pora

te2

N6,

835

14,8

6010

,100

9,80

09,

300

10,4

1111

,250

10,8

0411

,003

Bus

ines

sN

26,9

0049

,391

33,1

0026

,200

28,2

0027

,716

32,6

1124

,543

25,1

69In

stru

ctio

nal

N10

,727

14,8

6218

,600

14,8

0014

,300

14,6

6311

,375

16,0

8114

,883

Per

sona

lN

65,3

9896

,222

112,

600

109,

300

109,

600

115,

630

124,

347

147,

085

148,

192

Aer

ial a

pplic

atio

nN

5,45

57,

294

6,20

05,

100

5,40

04,

858

4,55

04,

254

4,29

4A

eria

l obs

erva

tion

NN

N4,

900

4,70

03,

200

3,31

13,

242

3,24

05,

093

Ext

erna

l loa

dN

NN

N20

040

018

631

319

023

4

Oth

er w

orka

N2,

054

2,81

31,

400

1,10

01,

100

579

1,11

62,

363

1,78

7

Air

taxi

/ ai

r to

ursb

NN

N5,

800

4,10

03,

900

4,94

85,

190

4,56

94,

019

Sig

htse

eing

cN

NN

N90

090

067

767

983

288

1

Oth

erd

N8,

249

17,0

454,

100

6,30

06,

700

5,25

06,

010

1,20

01,

952

Pub

lic u

seN

NN

NN

4,20

04,

130

4,02

94,

138

k NTo

tal

76,5

4913

1,74

321

1,04

519

6,80

018

8,10

018

7,20

019

2,35

920

4,71

221

9,29

921

7,53

3P

erfo

rman

ceN

um

ber

of

flig

ht

ho

urs

by

actu

al u

se

(th

ou

san

ds)

Cor

pora

te3

NN

5,33

22,

913

2,86

92,

718

2,87

83,

213

3,61

63,

458

Bus

ines

s3 5

,699

3 7,2

048,

434

4,41

73,

191

3,15

23,

006

3,52

33,

598

3,67

0

Inst

ruct

iona

l1,

828

6,79

15,

748

7,24

44,

106

4,42

54,

956

3,96

15,

893

5,36

9P

erso

nal

3,17

26,

896

8,89

49,

276

9,32

08,

893

9,64

49,

781

11,2

9411

,699

Aer

ial a

pplic

atio

nN

N2,

044

1,87

21,

557

1,78

71,

562

1,30

61,

415

1,40

1A

eria

l obs

erva

tion

NN

N1,

745

1,38

51,

036

1,26

181

21,

243

1,63

2E

xter

nal l

oad

NN

NN

118

203

112

153

128

171

Oth

er w

orka

NN

1,05

357

226

826

213

928

661

350

6

Air

taxi

/ ai

r to

ursb

NN

N2,

249

1,52

71,

773

2,12

02,

583

2,04

32,

196

Sig

htse

eing

cN

NN

N20

618

612

716

922

019

8

Oth

erd

2,42

25,

139

4,92

547

51,

121

644

819

940

581

675

Pub

lic u

see

NN

NN

N1,

021

1,09

61,

373

1,11

1k N

Tota

l13

,121

26,0

3036

,430

30,7

6325

,667

26,1

0027

,713

28,1

0031

,756

30,9

75C

ontin

ued

next

pag

e

Page 379: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

360 � Appendix A: Modal Profiles

Per

form

ance

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

Veh

icle

-mile

sf (

mill

ions

)5 1

,769

5 3,

207

5 5,

204

5 4,

548

5 3,

795

5 3,

524

5 3,

877

UU

U

Pas

seng

er-m

ilef,1

(m

illio

ns)

2,30

09,

100

14,7

0013

,000

10,8

0012

,000

12,5

0013

,100

13,5

00U

Fue

l con

sum

edf (

mill

ion

gallo

ns)

6 24

26

759

6 1,

286

6 1,

016

9 84

79 89

69

934

9 1,

126

9 1,

313

9 1,

335

Avi

atio

n ga

solin

e24

255

152

035

328

728

929

231

134

533

7Je

t fue

lN

208

766

663

560

608

642

815

967

998

Saf

ety

Fata

litie

sg

Cor

pora

teN

7 28

8 66

8 21

10 1

510

2010

310

010

3010

13B

usin

ess

N14

812

680

7344

4542

5543

Inst

ruct

iona

lN

9373

6244

4038

3838

64P

erso

nal

N72

680

849

248

841

343

243

2R38

338

6A

eria

l app

licat

ion

N41

3217

1510

176

1419

Oth

erN

174

134

95R11

2R11

910

6R11

2R10

587

Tota

l fat

alit

iesh

7 787

1,31

01,

239

767

R73

5R63

6R63

1R62

4R61

9R

593

Acc

iden

ts

Fata

l442

964

161

844

3R41

3R36

1R35

0R36

4R34

034

3

Tota

l acc

iden

ts4,

793

4,71

23,

590

R2,

241

R2,

056

R1,

908

R1,

845

R1,

904

R1,

906

1,83

8

Acc

iden

t ra

tei,j

(per

100

,000

flig

ht

ho

urs

)Fa

tal

3.3

2.5

1.7

1.4

1.6

1.4

1.3

1.3

1.1

1.1

Tota

l rat

e36

.518

.19.

9R7.

38.

07.

36.

76.

86.

05.

9

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aIn

196

0, 1

970,

198

0, c

lass

ifie

d as

“In

dust

rial

.”b

Incl

udes

air

tou

rs d

one

unde

r 14

CFR

135

: air

tax

i ope

rato

rs a

nd c

omm

erci

al o

pera

tors

.c

Incl

udes

sig

htse

eing

don

e un

der

14 C

FR 9

1: g

ener

al o

pera

ting

and

flig

ht r

ules

.d

Sign

ific

ant

decr

ease

in “

Oth

er”

can

be a

ttri

bute

d to

a r

edef

inin

g of

the

cat

egor

y to

onl

y in

clud

e “A

eria

l Oth

er”

and

“Med

ical

Use

.”e

Fede

ral,

stat

e or

loca

l gov

ernm

ent-

owne

d or

leas

ed a

ircr

aft

used

for

the

pur

pose

of

fulf

illin

g a

gove

rnm

ent

posi

tion

.f

Incl

udes

air

tax

i ope

rati

ons.

Nau

tica

l mile

s in

sou

rce

mul

tipl

ied

by 1

.151

to

conv

ert

from

nau

tica

l mile

s.g

Sum

of

fata

litie

s do

es n

ot n

eces

sari

ly e

qual

tot

al. D

iffe

renc

es a

re d

ue t

o m

etho

dolo

gy u

sed

to c

ount

col

lisio

ns in

volv

ing

airc

raft

in d

iffe

rent

cat

egor

ies.

hSu

m o

f fa

talit

ies

does

not

nec

essa

rily

equ

al t

otal

. Dif

fere

nces

are

due

to

doub

leco

unti

ng.

iSu

icid

e/sa

bota

ge c

ases

are

incl

uded

in a

ccid

ents

and

fat

alit

ies

data

but

are

exc

lude

d fr

om a

ccid

ent

rate

s.j

Acc

iden

t ra

tes

are

calc

ulat

ed b

y B

TS

usin

g th

e fo

rmul

a: A

ccid

ent

Rat

es (

per

100,

000

flig

ht h

ours

) =

Fata

litie

s/Fl

ight

Hou

rs*1

00.

kB

egin

ning

in 2

000,

“Pu

blic

Use

” w

as in

clud

ed in

“O

ther

Wor

k.”

Gene

ral A

viat

ion

Prof

ile (C

ontin

ued)

Page 380: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 361

Gene

ral A

viat

ion

Prof

ile (C

ontin

ued)

NO

TE

SN

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

. To

tal f

atal

itie

s in

thi

s pr

ofile

may

not

mat

ch t

hose

in t

able

2-1

4, d

ue t

o w

hen

the

tota

l fat

alit

ies

data

wer

e re

ceiv

ed a

nd t

he d

ata

brea

kdow

n by

typ

e of

fly

ing.

N

TSB

con

stan

tly

upda

tes

and

recl

assi

fies

acc

iden

t an

d fa

talit

y da

ta.

1994

-95

data

for

act

ive

airc

raft

by

use,

and

flig

ht h

ours

, hav

e be

en r

evis

ed t

o re

flec

t ch

ange

s in

adj

ustm

ent

for

nonr

espo

nse

bias

wit

h 19

96 t

elep

hone

sur

vey

fact

ors.

199

6 ve

hicl

e-m

iles

and

fuel

con

sum

ptio

n da

ta a

re e

stim

ated

usi

ng n

ew in

form

atio

n on

non

resp

onde

nts

and

are

not

com

para

ble

to e

arlie

r ye

ars.

SOU

RC

ES

Unl

ess

othe

rwis

e no

ted,

ref

er t

o ch

apte

r ta

bles

for

sou

rces

.1

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica,

Ann

ual I

ssue

s (W

ashi

ngto

n, D

C),

pp.

8-1

1, 1

4-15

.2

Uni

ted

Stat

es. F

eder

al A

viat

ion

Adm

inis

trat

ion,

Gen

eral

Avi

atio

n an

d A

ir T

axi A

ctiv

ity

and

Avi

onic

s Su

rvey

(W

ashi

ngto

n, D

C: 1

990-

2000

issu

es),

tab

le 1

.1.

3 Ib

id.,

tabl

e 1.

6 an

d si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

4 N

atio

nal T

rans

port

atio

n Sa

fety

Boa

rd, R

E-5

0, p

erso

nal c

omm

unic

atio

n. A

nnua

l Rev

iew

of

Air

craf

t A

ccid

ent

Dat

a, U

.S. G

ener

al A

viat

ion,

Cal

enda

r Y

ear

1998

(W

ashi

ngto

n, D

C: J

uly

2000

). I

nter

net

site

htt

p://w

ww

.nts

b.go

v/av

iati

on/ a

s of

Sep

t. 9

, 200

2, t

able

10.

5 U

nite

d St

ates

. Fed

eral

Avi

atio

n A

dmin

istr

atio

n, G

ener

al A

viat

ion

and

Air

Tax

i Act

ivit

y an

d A

vion

ics

Surv

ey (

Was

hing

ton,

DC

: 199

0-20

00 is

sues

), t

able

3.3

an

d si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

6 Ib

id.,

tabl

e 5.

1.7

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

, RE

-50,

per

sona

l com

mun

icat

ion.

8 Ib

id.,

Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata,

U.S

. Gen

eral

Avi

atio

n, C

alen

dar

Yea

r 19

98 (

Was

hing

ton,

DC

: Jul

y 20

00),

cha

rts

27, 3

9, 4

0, 4

1, 4

2 an

d 43

.9

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al A

viat

ion

Adm

inis

trat

ion,

FA

A A

eros

pace

For

ecas

ts, F

isca

l Yea

rs 2

002-

2013

(W

ashi

ngto

n, D

C: M

arch

200

2),

tabl

e 30

.10

Nat

iona

l Tra

nspo

rtat

ion

Safe

ty B

oard

, RE

-50,

per

sona

l com

mun

icat

ion.

Ann

ual R

evie

w o

f A

ircr

aft

Acc

iden

t D

ata,

U.S

. Gen

eral

Avi

atio

n, C

alen

dar

Yea

r 19

98 (

Was

hing

ton,

DC

: Jul

y 20

00),

per

sona

l com

mun

icat

ion,

Sep

t. 1

0, 2

002.

Page 381: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

362 � Appendix A: Modal ProfilesHi

ghw

ay P

rofil

e

Fin

anci

al19

6019

7019

8019

9019

9519

9619

9719

9819

9920

00G

ove

rnm

ent

rece

ipts

($

mill

ion

s), t

ota

l11

,193

21,7

6339

,834

75,4

4496

,347

102,

771

107,

421

111,

581

121,

650

128,

745

Fed

eral

Hig

hway

trus

t fun

da3 2

,531

3 5,4

643 7

,615

3 13,

380

1718

,835

1722

,036

1720

,500

1723

,396

1725

,085

1729

,701

Oth

er24

069

62,

334

1,19

61,

016

1,16

01,

148

1,11

392

31,

349

Sta

te a

nd lo

cal

Sta

te a

nd D

.C.

6,05

511

,737

19,6

6640

,026

50,0

6452

,808

58,0

8758

,806

63,2

7466

,441

Loca

l2,

367

3,86

610

,219

20,8

4226

,432

26,7

6727

,686

28,2

6632

,368

31,2

54G

ove

rnm

ent

exp

end

itu

res

($ m

illio

ns)

, to

tal

10,7

5720

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41,7

6375

,408

93,4

7898

,082

101,

953

107,

975

116,

011

127,

459

Fed

eral

Hig

hway

trus

t fun

da27

8331

535

81,

092

1,38

41,

103

1,17

01,

249

1,88

1

Oth

erb

170

342

559

306

310

214

212

205

179

396

Sta

te a

nd lo

cal

Sta

te a

nd D

.C.

7,12

514

,100

25,9

3645

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56,9

8159

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61,5

3465

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71,4

1577

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l3,

435

6,30

414

,953

29,1

3535

,095

36,7

7539

,104

41,0

9343

,168

47,2

83

Sta

te h

igh

way

use

r ta

x re

ven

ues

c ($

mill

ion

s), t

ota

l5,

323

10,2

8417

,177

35,9

4447

,424

49,7

5651

,381

54,5

0756

,269

56,4

54

Mot

or fu

el ta

x4 3

,374

4 6,4

334 9

,485

4 19,

658

4 26,

881

1927

,555

1928

,477

1929

,803

1930

,753

1931

,291

Oth

er m

otor

fuel

rec

eipt

sd22

4492

220

108

6355

5813

417

9

Mot

or v

ehic

le r

egis

trat

ion

fees

5 1,5

145 2

,873

5 5,1

735 1

0,25

75 1

1,94

220

13,2

3420

13,6

3120

14,5

5220

14,8

8220

13,7

04

Oth

er m

otor

veh

icle

fees

e23

557

71,

490

3,35

34,

416

4,68

94,

704

5,06

85,

350

5,69

6

Mot

or c

arri

er ta

xesf

110

176

323

695

770

726

729

861

740

784

Mis

cella

neou

s fe

es68

181

615

1,76

13,

307

3,48

93,

785

4,16

54,

410

4,80

0

Inve

nto

ryR

ura

l / u

rban

mile

age

by

ow

ner

ship

Rur

al m

ileag

eU

nder

sta

te c

ontr

ol6 6

58,8

966 7

07,0

0212

750,

479

1270

2,48

612

690,

924

2169

1,15

621

692,

767

2166

0,83

421

660,

682

2166

1,79

8

Und

er fe

dera

l con

trol

g11

1,91

218

7,69

624

6,13

017

8,18

817

0,56

816

8,93

816

7,36

911

8,36

911

6,84

611

6,69

8

Und

er lo

cal c

ontr

ol2,

345,

317

2,27

4,71

42,

234,

327

2,24

1,60

82,

231,

029

2,23

2,79

32,

248,

357

2,28

5,44

72,

293,

653

2,30

5,50

4C

ount

y ro

ads

1,74

2,40

41,

732,

981

1,54

2,98

41,

616,

634

1,62

6,92

71,

627,

639

1,64

2,46

81,

647,

025

1,64

9,29

11,

656,

906

Tow

n, to

wns

hip

and

mun

icip

al r

oads

h53

8,65

151

0,17

445

8,23

143

7,46

042

4,52

942

6,17

042

6,43

342

6,34

059

0,20

659

2,62

3

Oth

er lo

cal r

oads

h64

,262

31,5

5923

3,11

218

7,51

417

9,57

317

8,98

417

9,45

621

2,08

254

,156

55,9

75

Tota

l rur

al m

ileag

e3,

116,

125

3,16

9,41

23,

230,

936

3,12

2,28

23,

092,

520

3,09

2,88

73,

108,

493

3,06

4,65

03,

071,

181

3,08

4,00

0U

rban

mile

age

Und

er s

tate

con

trol

50,1

5874

,103

97,2

8795

,778

111,

766

111,

924

112,

226

110,

017

109,

956

110,

195

Und

er fe

dera

l con

trol

gN

N1,

495

1,02

41,

509

1,47

01,

464

1,48

51,

503

1,48

4

Und

er lo

cal c

ontr

olN

N53

0,11

964

7,84

270

6,43

171

3,37

172

2,41

873

0,15

273

4,60

574

0,56

2C

ount

y ro

ads

NN

71,3

5795

,929

117,

518

117,

181

117,

487

117,

016

117,

105

116,

918

Tow

n an

d to

wns

hip

road

shN

N37

,583

42,7

5260

,561

60,9

2674

,402

75,1

9560

5,25

561

1,47

3

Page 382: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 363

Inve

nto

ry (

con

tin

ued

)19

6019

7019

8019

9019

9519

9619

9719

9819

9920

00

Oth

er lo

cal r

oads

h37

9,41

048

6,56

742

1,17

950

9,16

152

8,35

253

5,26

453

0,52

953

7,94

112

,245

12,1

71

Tota

l urb

an m

ileag

e42

9,56

856

0,67

062

8,90

174

4,64

481

9,70

682

6,76

583

6,10

884

1,65

484

6,06

485

2,24

1To

tal r

ural

and

urb

an m

ileag

e3,

545,

693

3,73

0,08

23,

859,

837

3,86

6,92

63,

912,

226

3,91

9,65

23,

944,

601

3,90

6,30

43,

917,

245

3,93

6,24

1R

ura

l / u

rban

mile

age

by

fun

ctio

nal

sys

tem

Rur

al m

ileag

eIn

ters

tate

N

N13

31,

905

13 3

3,54

713

32,

580

22 3

2,82

022

32,

817

22 3

2,81

322

32,

974

22 3

3,04

8O

ther

pri

ncip

al a

rter

ial

NN

82,5

6983

,802

97,9

4898

,131

98,2

5798

,852

98,8

5698

,911

Min

or a

rter

ial

NN

149,

057

144,

774

137,

151

137,

359

137,

497

137,

308

137,

463

137,

574

Maj

or c

olle

ctor

NN

439,

000

436,

352

431,

712

432,

117

432,

714

432,

408

432,

954

433,

121

Min

or c

olle

ctor

NN

299,

613

293,

922

274,

081

273,

198

272,

362

272,

140

271,

690

271,

815

Loca

lN

N2,

228,

792

2,12

9,88

52,

119,

048

2,11

9,26

22,

135,

485

2,09

1,12

72,

097,

244

2,10

9,51

9To

tal r

ural

mile

age

7 3,1

16,1

257 3

,169

,412

3,23

0,93

63,

122,

282

3,09

2,52

03,

092,

887

3,10

9,13

23,

064,

648

3,07

1,18

13,

083,

988

Urb

an m

ileag

eIn

ters

tate

NN

9,21

511

,527

13,1

6413

,217

13,2

4713

,312

13,3

4313

,379

Oth

er fr

eew

ays

and

expr

essw

ays

NN

6,77

47,

668

8,97

09,

027

9,06

39,

127

9,12

59,

140

Oth

er p

rinc

ipal

art

eria

lN

N44

,155

51,9

6852

,796

52,9

8353

,223

53,1

3253

,206

53,3

12M

inor

art

eria

lN

N66

,377

74,6

5988

,510

89,0

2089

,185

89,4

9689

,399

89,7

89C

olle

ctor

NN

68,3

8778

,254

87,3

3187

,790

88,0

4988

,071

88,0

0888

,200

Loca

lN

N43

3,99

352

0,56

856

8,93

557

4,72

858

3,97

358

8,50

459

2,97

859

8,42

1To

tal u

rban

mile

age

429,

568

560,

670

628,

901

744,

644

819,

706

826,

765

836,

740

841,

642

846,

059

852,

241

Tota

l rur

al a

nd u

rban

mile

age

3,54

5,69

33,

730,

082

3,85

9,83

73,

866,

926

3,91

2,22

63,

919,

652

3,94

5,87

23,

906,

290

3,91

7,24

03,

936,

229

U.S

. ro

ads

and

str

eets

by

surf

ace

Pav

ed m

ileag

eR

ural

919,

082

1,18

8,08

07 1

,490

,050

7 1,5

50,2

837 1

,591

,334

23 1

,582

,166

23 1

,605

,804

23 1

,612

,251

23 1

,641

,877

23 1

,684

,922

Urb

an31

1,38

747

0,34

158

2,64

270

4,53

978

6,93

479

8,48

480

4,13

180

8,09

380

9,54

981

9,57

2To

tal

1,23

0,46

91,

658,

421

2,07

2,69

22,

254,

822

2,37

8,26

82,

380,

650

2,40

9,93

52,

420,

344

2,45

1,42

62,

504,

494

Per

cent

pav

ed34

.7%

44.5

%53

.7%

58.3

%60

.8%

60.5

%60

.9%

61.3

%62

.4%

63.4

%U

npav

ed m

ileag

eR

ural

7 2,1

97,0

437 1

,981

,332

7 1,

740,

886

7 1,

571,

999

7 1,

501,

186

23 1

,518

,310

23 1

,510

,330

23 1

,490

,488

23 1

,436

,969

23 1

,406

,508

Urb

an11

8,18

190

,329

46,2

5940

,105

32,7

7235

,227

38,0

1938

,061

42,0

0839

,040

Tota

l2,

315,

224

2,07

1,66

11,

787,

145

1,61

2,10

41,

533,

958

1,55

3,53

71,

548,

349

1,52

8,54

91,

478,

977

1,44

5,54

8P

erce

nt u

npav

ed65

.3%

55.5

%46

.3%

41.7

%39

.2%

39.5

%39

.1%

38.7

%37

.6%

36.6

%N

um

ber

of

emp

loye

es

Sta

te a

nd lo

cal g

ovt.

stre

ets

and

high

way

s153

2,00

060

7,00

055

9,00

056

9,00

054

3,00

0U

531,

000

530,

000

543,

000

546,

000

Hig

hway

and

str

eet c

onst

ruct

ion2

UU

U23

8,70

022

7,90

023

6,10

024

2,80

025

6,50

0R

280,

100

R28

1,20

0

Per

form

ance

Veh

icle

-mile

s o

f tr

avel

by

fun

ctio

nal

sys

tem

(m

illio

ns)

i

Rur

al m

ileag

eIn

ters

tate

8 1

0,51

48

79,5

168 1

35,0

848 2

00,1

7318

223,

382

1823

2,56

518

240,

255

1825

1,52

018

260,

204

1826

8,96

0O

ther

pri

ncip

al a

rter

ial

NN

132,

958

175,

133

215,

567

221,

403

228,

716

237,

704

243,

950

248,

686

Con

tinue

d ne

xt p

age

High

way

Pro

file

(Con

tinue

d)

Page 383: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

364 � Appendix A: Modal Profiles

Per

form

ance

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

Min

or a

rter

ial

NN

129,

816

155,

733

153,

028

157,

444

163,

342

165,

780

169,

378

171,

883

Maj

or c

olle

ctor

NN

150,

186

190,

512

186,

212

190,

923

201,

790

203,

580

206,

936

209,

561

Min

or c

olle

ctor

NN

39,2

8249

,948

49,9

3650

,107

52,5

7454

,278

57,6

1757

,960

Loca

lN

N84

,704

97,3

7910

5,16

410

7,75

211

4,67

312

0,59

512

5,54

512

7,91

1To

tal r

ural

40

0,46

353

9,47

267

2,03

086

8,87

893

3,28

996

0,19

41,

001,

350

1,03

3,45

71,

063,

630

1,08

4,96

1U

rban

Inte

rsta

te13

,365

81,5

3216

1,24

227

8,90

134

1,51

535

1,57

936

1,40

137

4,62

238

2,98

639

3,58

0O

ther

free

way

s an

d ex

pres

sway

sN

N79

,690

127,

465

151,

509

157,

502

159,

622

165,

626

171,

563

177,

142

Oth

er p

rinc

ipal

art

eria

lN

N22

9,46

933

5,54

337

0,36

537

7,77

638

5,12

538

8,07

339

2,72

139

8,65

2M

inor

art

eria

lN

N17

5,03

023

6,22

529

3,22

829

9,34

530

1,91

230

9,29

531

3,93

632

4,36

7C

olle

ctor

NN

83,0

4310

6,29

712

6,88

312

9,31

013

0,14

313

1,91

913

1,61

313

5,37

1Lo

cal

NN

126,

791

191,

053

205,

907

208,

374

222,

142

228,

530

234,

886

235,

730

Tota

l urb

an31

8,29

957

0,25

285

5,26

51,

275,

484

1,48

9,40

71,

523,

886

1,56

0,34

51,

598,

065

1,62

7,70

51,

664,

842

Tota

l rur

al a

nd u

rban

718,

762

1,10

9,72

41,

527,

295

2,14

4,36

22,

422,

696

2,48

4,08

02,

561,

695

2,63

1,52

22,

691,

335

2,74

9,80

3H

igh

way

dem

and

fo

r p

etro

leu

m (

tho

usa

nd

bar

rels

)M

otor

fuel

9 1,3

78,0

959 2

,198

,310

9 2,7

37,1

439 3

,113

,214

163,

424,

616

16 3

,492

,285

163,

580,

620

163,

699,

500

163,

843,

128

163,

863,

338

Asp

halt

and

road

oil

1011

0,00

010

163,

000

1014

5,00

014

176,

340

1417

7,54

314

177,

206

1418

4,38

314

190,

258

1419

9,58

014

192,

236

Tota

l1,

488,

095

2,36

1,31

02,

882,

143

3,28

9,55

43,

602,

159

3,66

9,49

13,

765,

003

3,88

9,75

84,

042,

708

4,05

5,57

4

Saf

ety

Fata

litie

s11

36,3

9911

52,6

2711

51,0

9115

44,5

9915

41,8

1715

42,0

6515

42,0

1315

41,5

0115

41,7

17R

,24 4

1,94

5In

jure

d pe

rson

sN

NN

3,23

1,00

03,

465,

000

3,48

3,00

03,

348,

000

3,19

2,00

03,

236,

000

153,

189,

000

Cra

shes

NN

N6,

471,

000

6,69

9,00

06,

770,

000

6,62

4,00

06,

335,

000

6,27

9,00

06,

394,

000

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aT

he F

eder

al H

ighw

ay T

rust

Fun

d w

as c

reat

ed w

ith

the

enac

tmen

t of

the

Hig

hway

Rev

enue

Act

of

1956

. The

tot

al r

ecei

pts

show

n fo

r 19

95 a

re o

vers

tate

d by

ap

prox

imat

ely

$1.5

9 bi

llion

due

to

a fi

scal

yea

r (F

Y)

1994

err

or b

y th

e T

reas

ury

Dep

artm

ent

in r

econ

cilin

g es

tim

ated

dep

osit

s to

the

act

ual t

ax r

even

ue. T

he

corr

ecti

on w

as m

ade

afte

r th

e cl

ose

of F

Y19

94 a

nd is

sho

wn

in F

Y19

95 r

ecei

pts.

bFi

gure

s ob

tain

ed b

y ad

diti

on/s

ubtr

acti

on a

nd m

ay n

ot a

ppea

r di

rect

ly in

dat

a so

urce

.c

Gro

ss a

mou

nts

colle

cted

by

stat

e go

vern

men

ts f

rom

hig

hway

use

rs. D

oes

not

incl

ude

tolls

. Not

all

reve

nues

allo

cate

d to

hig

hway

exp

endi

ture

s.d

Incl

udes

dis

trib

utor

s an

d de

aler

s lic

ense

s, in

spec

tion

fee

s, f

ines

and

pen

alti

es, a

nd m

isce

llane

ous

rece

ipts

.e

Incl

udes

dri

vers

lice

nses

, tit

le f

ees,

spe

cial

tit

le t

axes

, fin

es a

nd p

enal

ties

; est

imat

ed s

ervi

ce c

harg

es a

nd lo

cal c

olle

ctio

ns.

fIn

clud

es c

arri

er g

ross

rec

eipt

tax

es; m

ileag

e, t

on-m

ile a

nd p

asse

nger

-mile

tax

es; s

peci

al li

cens

e fe

es a

nd f

ranc

hise

tax

es; a

nd c

erti

fica

te o

r pe

rmit

fee

s.g

Mile

age

in f

eder

al p

arks

, for

ests

, and

res

erva

tion

s th

at a

re n

ot a

par

t of

the

sta

te a

nd lo

cal h

ighw

ay s

yste

m.

hPr

ior

to 1

999,

mile

age

for

mun

icip

al r

oads

was

incl

uded

wit

h th

e “o

ther

loca

l roa

ds”

juri

sdic

tion

. Mile

age

for

mun

icip

al r

oads

was

incl

uded

in “

Tow

n,

Tow

nshi

p an

d M

unic

ipal

Roa

d” ju

risd

icti

on a

fter

199

9.i

Hig

hway

cat

egor

y cl

assi

fica

tion

s ch

ange

d se

vera

l tim

es b

efor

e 19

80. A

ctua

l 196

0 da

ta c

ateg

orie

s w

ere:

Mai

n R

ural

Roa

ds, L

ocal

Rur

al R

oads

and

Urb

an

Stre

ets;

197

0 da

ta c

ateg

orie

s w

ere:

Rur

al I

nter

stat

e, R

ural

Oth

er A

rter

ial,

Oth

er R

ural

, Urb

an I

nter

stat

e an

d O

ther

Urb

an.

High

way

Pro

file

(Con

tinue

d)

Page 384: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 365

High

way

Pro

file

(Con

tinue

d)

NO

TE

SM

otor

veh

icle

inju

ry a

nd c

rash

dat

a in

thi

s pr

ofile

com

e fr

om t

he N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n’s

Gen

eral

Est

imat

es S

yste

m (

GE

S). T

he d

ata

from

GE

S, w

hich

beg

an o

pera

tion

in 1

988,

are

obt

aine

d fr

om a

nat

iona

lly r

epre

sent

ativ

e pr

obab

ility

sam

ple

sele

cted

fro

m a

ll po

lice-

repo

rted

cra

shes

, and

th

e G

ES

sam

ple

incl

udes

onl

y cr

ashe

s w

here

a p

olic

e ac

cide

nt r

epor

t w

as c

ompl

eted

and

the

cra

sh r

esul

ted

in p

rope

rty

dam

age,

inju

ry, o

r de

ath.

The

res

ult-

ing

figu

res

do n

ot t

ake

into

acc

ount

cra

shes

whi

ch w

ere

not

repo

rted

to

the

polic

e or

whi

ch d

id n

ot r

esul

t in

at

leas

t pr

oper

ty d

amag

e.E

arlie

r ed

ition

s of

NT

S, p

artic

ular

ly th

e 19

93 H

isto

rica

l Com

pend

ium

, use

d cr

ash

and

inju

ry fi

gure

s es

timat

ed b

y th

e N

atio

nal S

afet

y C

ounc

il, w

hich

em

ploy

ed a

dif-

fere

nt s

et o

f met

hods

to a

rriv

e at

its

figur

es. T

hus,

the

inju

ry a

nd c

rash

figu

res

in t

his

editi

on o

f NT

S m

ay n

ot b

e co

mpa

rabl

e w

ith th

ose

foun

d in

ear

lier

editi

ons.

In 1

998,

FH

WA

inst

itut

ed a

new

met

hod

of c

reat

ing

mile

age

base

d ta

bles

der

ived

fro

m t

he H

ighw

ay P

erfo

rman

ce M

onit

orin

g Sy

stem

(H

PMS)

. See

Cha

pter

1

accu

racy

pro

file

s fo

r m

ore

info

rmat

ion

abou

t th

e H

PMS.

SOU

RC

ES

Unl

ess

othe

rwis

e no

ted,

ple

ase

refe

r to

cha

pter

tab

les

for

sour

ces.

1 U

.S. D

epar

tmen

t of

Com

mer

ce, S

tati

stic

al A

bstr

act

of t

he U

nite

d St

ates

, var

ious

yea

rs, S

tate

and

Loc

al G

over

nmen

t Se

ctio

n.2

Ibid

., In

tern

et s

ite

http

://st

ats.

bls.

gov/

saho

me.

htm

l as

of A

ug. 2

, 200

1.3

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s, S

umm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le H

F-21

0.4

Ibid

., H

ighw

ay S

tati

stic

s, S

umm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le M

F-20

1.5

Ibid

., H

ighw

ay S

tati

stic

s, S

umm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le M

V-2

02.

6 Ib

id.,

Hig

hway

Sta

tist

ics,

Sum

mar

y to

198

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

M-2

03.

7 Ib

id.,

Hig

hway

Sta

tist

ics,

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

HM

-212

.8

Ibid

., H

ighw

ay S

tati

stic

s, S

umm

ary

to 1

985

(Was

hing

ton,

DC

: Apr

il 19

87),

tab

le V

M-2

01.

9 Ib

id.,

Hig

hway

Sta

tist

ics,

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

VM

-201

A (

tota

l fue

l con

sum

ed in

tho

usan

ds o

f ga

llons

di

vide

d by

42)

.10

U.S

. Dep

artm

ent

of E

nerg

y, E

nerg

y In

form

atio

n A

dmin

istr

atio

n, S

tate

Ene

rgy

Dat

a R

epor

t, 1

960-

1980

(W

ashi

ngto

n, D

C),

p. 1

3.11

U.S

. Dep

artm

ent o

f Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Nat

iona

l Cen

ter

for

Stat

istic

s an

d A

naly

sis,

NR

D-3

0, p

erso

nal c

omm

unic

atio

n.12

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s, S

umm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: Jul

y 19

97),

tab

le H

M-2

10.

13 I

bid.

, Hig

hway

Sta

tist

ics,

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

HM

-220

.14

U.S

. Dep

artm

ent

of E

nerg

y, E

nerg

y In

form

atio

n A

dmin

istr

atio

n, P

etro

leum

Sup

ply

Ann

ual:

Vol

ume

1 (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le 2

.15

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, N

atio

nal C

ente

r fo

r St

atis

tics

and

Ana

lysi

s, T

raff

ic S

afet

y Fa

cts

2000

(W

ashi

ngto

n, D

C: 2

001)

.16

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

(to

tal f

uel c

on-

sum

ed in

tho

usan

ds o

f ga

llons

div

ided

by

42).

17 Ib

id.,

Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: 199

6, 1

997,

199

8, 1

999,

200

0), t

able

s H

F-10

A a

nd H

F-10

.18

Ibid

., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: v

ario

us y

ears

), t

able

s V

M-2

and

VM

-2A

.19

Ibid

., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: 1

996,

199

7, 1

998,

199

9, 2

000)

, tab

le M

F-1.

20 Ib

id.,

Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: 199

6, 1

997,

199

8, 1

999,

200

0), t

able

MV

-2.

21 Ib

id.,

Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: 199

6, 1

997,

199

8, 1

999,

200

0), t

able

HM

-10.

22 Ib

id.,

Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: 199

6, 1

997,

199

8, 1

999,

200

0), t

able

HM

-20.

23 I

bid.

, Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: 199

6, 1

997,

199

8, 1

999,

200

0), t

able

HM

-12.

24 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Nat

iona

l Cen

ter

for

Stat

isti

cs a

nd A

naly

sis,

Fat

alit

y A

naly

sis

Rep

ort-

ing

Syst

em (

FAR

S) Q

uery

, Sep

t. 6

, 200

2.

Page 385: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

FIN

AN

CIA

L19

6019

7019

8019

9019

9519

9619

9719

9819

9920

0020

01Pe

rson

al a

uto

expe

nditu

res,

tota

la ($ m

illio

ns)

39,8

8673

,390

209,

563

368,

192

445,

566

474,

491

498,

928

R50

4,24

754

3,62

959

9,85

2U

New

and

use

d ca

rsa,1

16,6

0026

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57,2

0011

9,00

013

2,20

013

3,30

013

5,60

014

2,80

0R15

6,10

0R16

4,90

016

6,50

0Ti

res,

tube

s, a

cces

sorie

s, a

nd p

arts1

2,50

06,

100

17,9

0029

,900

36,9

0038

,700

39,6

0041

,500

44,4

00R45

,900

45,8

00G

asol

ine

and

oil1

12,0

0021

,900

86,7

0010

7,30

011

3,30

012

4,20

012

8,10

011

4,80

0R12

9,30

0R16

4,40

016

2,10

0To

lls1

300

700

1,10

02,

300

3,40

03,

700

4,00

04,

000

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400

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600

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sura

nce

prem

ium

s le

ss c

laim

s pa

id12,

000

3,80

09,

400

18,1

0029

,700

31,8

0036

,300

38,0

0036

,800

R30

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32,1

00R

epai

r, gr

easi

ng, w

ashi

ng, p

arki

ng, s

tora

ge,

rent

al, a

nd le

asin

g15,

500

12,3

0034

,000

84,9

0012

2,20

013

4,20

014

6,30

015

3,60

0R16

5,10

0R17

5,50

018

1,60

0A

uto

regi

stra

tion

fees

4 86

74

1,66

84

2,89

34

6,05

44

7,04

310

7,69

810

8,16

310

8,63

010

8,62

510

7,60

7U

Driv

er's

lice

nse

fees

4 11

94

222

4 37

04

638

R,1

0 82

310

893

10 86

510

917

10 90

410

745

UTa

xi e

xpen

ditu

res

($ m

illio

ns)1

600

1,20

01,

900

2,60

03,

200

3,50

03,

700

4,10

03,

800

R3,

600

3,70

0

INVE

NTO

RY

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

2001

Num

ber o

f veh

icle

regi

stra

tions

Pas

seng

er c

ar a

nd m

otor

cycl

e5

62,2

45,4

225

92,0

67,6

5512

7,29

4,78

313

7,95

9,95

813

2,28

3,96

613

3,59

9,57

813

3,57

5,07

713

5,71

7,98

813

6,58

4,47

713

7,96

7,48

8U

Oth

er 2

-axl

e 4-

tire

vehi

cle

5 e

5 14

,210

,591

5 27

,875

,934

5 48

,274

,555

9 65

,738

,322

R,9

68,9

3379

89

70,2

24,0

829

71,3

30,2

059

75,3

56,3

769

79,0

84,9

79U

Mot

orcy

cle

6 57

4,03

26

2,82

4,09

86

5,69

3,94

06

4,25

9,46

29

3,89

7,19

1R

,9 3,

871,

237

9 3,

826,

373

9 3,

879,

450

9 4,

152,

433

9 4,

346,

068

UM

otor

veh

icle

lice

nsed

driv

ers

7 87

,252

,563

111,

542,

787

145,

295,

036

167,

015,

250

176,

628,

482

179,

539,

340

182,

709,

204

184,

860,

969

187,

170,

420

190,

625,

023

UN

umbe

r of e

mpl

oyee

sTa

xica

bs2

120,

700

106,

400

52,5

0032

,400

30,7

0030

,500

30,6

0031

,200

31,6

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,900

31,8

00A

utom

otiv

e de

aler

s an

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rvic

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atio

ns21,

267,

200

1,61

7,40

01,

688,

500

2,06

3,10

02,

189,

600

2,26

6,70

02,

310,

800

2,33

2,30

02,

368,

100

R2,

409,

600

2,42

4,80

0M

otor

veh

icle

s, p

arts

, and

sup

plie

s2N

N43

4,30

045

6,00

049

2,10

050

2,80

051

3,00

051

6,60

052

3,70

0R51

6,80

050

2,10

0A

uto

repa

ir, s

ervi

ces,

and

par

king2

NN

570,

900

913,

700

1,02

0,10

01,

080,

000

1,11

9,60

01,

145,

200

1,19

6,40

0R1,

234,

200

1,25

7,20

0

PER

FOR

MA

NC

E

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

2001

Vehi

cle-

mile

s (m

illio

ns)

Pas

seng

er c

ar a

nd m

otor

cycl

e, to

tala

8 58

7,01

28

919,

679

8 1,

121,

810

R,8

1,41

7,82

39

1,44

8,09

1R

,9 1,

478,

767

9 1,

512,

637

9 1,

559,

860

9 1,

579,

684

R,9

1,61

0,75

6U

Rur

al h

ighw

ay, t

otal

8 31

3,62

38

424,

088

8 45

0,65

98

547,

910

9 52

7,93

2R

,9 54

0,02

19

555,

227

9 57

9,25

89

589,

213

R,9

597,

898

UR

ural

inte

rsta

te

N8

62,3

428

89,4

888

117,

519

9 11

5,99

1R

,9 12

0,32

49

121,

095

9 12

8,44

79

131,

956

R,9

135,

630

UR

ural

oth

er a

rteria

l8

233,

452

8 18

2,21

38

180,

857

8 21

1,06

69

212,

063

R,9

217,

574

9 22

1,73

29

230,

435

9 23

2,77

9R

,9 23

6,42

3U

Oth

er ru

ral r

oads

8 80

,171

8 17

9,53

38

180,

314

8 21

9,32

59

199,

878

R,9

202,

122

9 21

2,40

09

220,

376

9 22

4,47

8R

,9 22

5,84

5U

Urb

an h

ighw

ayb , t

otal

8 27

3,38

98

495,

591

8 67

1,15

18

869,

912

9 92

0,15

9R

,9 93

8,74

69

957,

410

9 98

0,60

29

990,

471

R,9

1,01

2858

UU

rban

inte

rsta

te

N8

69,3

698

124,

480

8 18

4,78

39

205,

489

R,9

211,

818

9 21

5,52

59

222,

066

9 22

5,82

2R

,9 23

2,20

2U

Oth

er u

rban

N

8 42

6,22

28

546,

671

8 68

5,12

99

714,

670

9 72

6,92

89

741,

885

9 75

8,53

69

764,

649

R,9

780,

656

UO

ther

2-a

xle

4-tir

e ve

hicl

e, to

tal

8 e

8 12

3,28

68

290,

935

8 57

4,57

19

790,

029

R,9

815,

936

9 85

0,73

99

868,

275

9 90

1,02

2R

,9 92

3,05

9U

Rur

al h

ighw

ay, t

otal

8 e

8 73

,591

8 14

9,56

08

227,

831

9 29

5,47

2R

,9 30

6,89

19

327,

316

9 33

4,80

69

351,

658

R,9

360,

355

UR

ural

inte

rsta

te

8 e

8 6,

766

8 19

,952

8 46

,298

9 63

,329

9 65

,779

9 69

,030

9 72

,343

9 76

,190

R,9

79,0

88U

Rur

al o

ther

arte

rial

8 e

8 29

,808

8 56

,137

8 87

,474

9 11

8,30

5R

,9 12

2,21

19

129,

890

9 13

2,04

39

138,

475

R,9

141,

257

UO

ther

rura

l roa

ds8

e8

37,0

178

73,4

718

94,0

599

113,

838

R,9

118,

901

9 12

8,39

69

130,

420

9 13

6,99

3R

,9 14

0,01

0U

Urb

an h

ighw

ayc , t

otal

8 e

8 49

,695

8 14

1,37

58

346,

739

9 49

4,55

79

509,

045

9 52

3,42

39

533,

469

9 54

9,36

4R

,9 56

2,70

4U

Urb

an in

ters

tate

8

e8

6,25

28

23,0

678

71,5

009

109,

807

9 11

2,90

89

116,

680

9 12

1,70

09

124,

399

R,9

128,

291

UO

ther

urb

an

8 e

8 43

,443

8 11

8,30

88

275,

239

9 38

4,75

0R

,9 39

6,13

69

406,

743

9 41

1,76

99

424,

965

R,9

434,

413

UVe

hicl

e-m

iles,

tota

l (m

illio

ns)

5 58

7,01

25

1,04

2,96

55

1,41

2,74

55

1,99

2,39

49

2,23

8,12

0R

,9 2,

294,

703

9 2,

363,

376

9 2,

428,

135

9 2,

480,

706

R,9

2,53

3,81

5U

Aut

omob

ile P

rofil

e

1/31

/200

6N

TS 2

002,

FH

WA

, NH

TSA

Page 386: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Pas

seng

er c

ars

f,5 58

7,01

2f,5

919,

679

f,5 1,

121,

810

f,5 1,

417,

823

9 1,

438,

294

R,9

1,46

8,85

49

1,50

2,55

69

1,54

9,57

79

1,56

9,10

0R

,9 1,

600,

287

UO

ther

2-a

xle

4-tir

e ve

hicl

e5

e5

123,

286

5 29

0,93

55

574,

571

9 79

0,02

9R

,9 81

5,93

69

850,

739

9 86

8,27

59

901,

022

R,9

923,

059

UM

otor

cycl

e5

g5

g5

g5

g9

9,79

7R

,9 9,

913

9 10

,081

9 10

,283

9 10

,584

R,9

10,4

69U

Pass

enge

r-m

ilesc , t

otal

(mill

ions

)5

1,14

5,00

05

1,97

9,78

75

2,54

5,02

05

3,03

7,24

49

3,55

3,81

0R

,9 3,

643,

719

9 3,

752,

829

9 3,

855,

696

9 3,

939,

137

R,9

4,02

3,63

7U

Pas

seng

er c

ars

a,f,5

1,14

5,00

0a,f,5

1,75

4,17

4a,f,5

2,02

4,24

6f,5

2,14

0,91

39

2,28

6,88

7R

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335,

478

9 2,

389,

065

9 2,

463,

828

9 2,

494,

870

R,9

2,54

4,45

7U

Oth

er 2

-axl

e 4-

tire

vehi

cle

5 e

5 22

5,61

35

520,

774

5 89

6,33

19

1,25

6,14

6R

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297,

337

9 1,

352,

675

9 1,

380,

557

9 1,

432,

625

R,9

1,46

7,66

4U

Mot

orcy

cle

5 g

5 g

5 g

5 g

9 10

,777

R,9

10,9

049

11,0

899

11,3

119

11,6

42R

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,516

UA

vera

ge m

iles

trav

eled

per

veh

icle

Pas

seng

er c

ar

f,5 9,

518

f,5 9,

989

f,5 8,

813

f,5 10

,277

9 11

,203

R,9

11,3

239

11,5

819

11,7

549

11,8

48R

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,976

UO

ther

2-a

xle

4-tir

e ve

hicl

e5

e5

8,67

65

10,4

375

11,9

029

12,0

18R

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,837

9 12

,115

9 12

,173

9 11

,957

R,9

11,6

72U

Mot

orcy

cle

5 g

5 g5

g5

g9

2,51

4R

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561

9 2,

635

9 2,

651

9 2,

549

R,9

2,40

9U

Fuel

con

sum

ed (m

illio

n ga

llons

)P

asse

nger

car

s f,5

41,1

71f,5

67,8

79f,5

70,1

86f,5

69,7

599

68,0

72R

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,897

9 69

,892

9 71

,695

9 73

,283

R,9

73,0

65U

Oth

er 2

-axl

e 4-

tire

vehi

cle

5 e

5 12

,313

5 23

,796

5 35

,611

9 45

,605

R,9

47,1

339

49,3

889

50,4

629

52,8

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,939

UM

otor

cycl

e5

g5

g5

g5

g9

196

9 19

89

202

9 20

69

212

R,9

209

UA

vera

ge fu

el c

onsu

mpt

ion

per v

ehic

le (g

allo

ns)

Pas

seng

er c

ars

f,5 66

8f,5

737

f,5 55

1f,5

506

9 53

0R

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19

539

9 54

49

553

R,9

547

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ther

2-a

xle

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e ve

hicl

e5

e5

866

5 85

45

738

9 69

4R

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49

703

9 70

79

701

R,9

669

UM

otor

cycl

e5

g5

g5

g5

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509

519

539

539

519

48U

Ave

rage

mile

s tr

avel

ed p

er g

allo

n of

fuel

con

sum

Pas

seng

er c

ars

f,5 14

.3f,5

13.5

5 16

.05

20.3

9 21

.1R

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.39

21.5

9 21

.69

21.4

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21.9

UO

ther

2-a

xle

4-tir

e ve

hicl

e5

e5

10.0

5 12

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16.1

9 17

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.39

17.2

9 17

.29

17.0

R,9

17.4

UM

otor

cycl

e5

g5

g5

g5

g9

509

509

509

509

509

50U

SAFE

TY19

6019

7019

8019

9019

9519

9619

9719

9819

9920

0020

01N

umbe

r of o

ccup

ants

and

non

occu

pant

fata

litie

sP

asse

nger

car

3N

N27

,449

24,0

9222

,423

22,5

0522

,199

21,1

9420

,862

R20

,699

20,2

33M

otor

cycl

e379

02,

280

5,14

43,

244

2,22

72,

161

2,11

62,

294

2,48

3R2,

897

3,18

1B

icyc

led,

349

076

096

585

983

376

581

476

075

4R69

372

8P

edes

trian

d,3

7,21

08,

950

8,07

06,

482

5,58

45,

449

5,32

15,

228

4,93

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763

4,88

2O

ccup

ant f

atal

ity ra

tes

Per

100

mill

ion

vehi

cle-

mile

sP

asse

nger

car

34.

73.

82.

51.

71.

51.

51.

51.

41.

31.

3U

Mot

orcy

cle3

N76

.550

.433

.922

.721

.821

.022

.323

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.7U

Per

10,

000

regi

ster

ed v

ehic

les

Pas

seng

er c

ar3

5.1

3.9

2.6

R2.

01.

81.

81.

81.

71.

61.

6U

Mot

orcy

cle3

13.8

8.1

9.0

7.6

5.7

5.6

5.5

5.9

6.0

R6.

7U

Vehi

cle

invo

lvem

ent r

ate

(fata

l cra

shes

)P

er 1

00 m

illio

n ve

hicl

e-m

iles

Pas

seng

er c

ar3

N5.

63.

52.

42.

12.

02.

01.

91.

8R1.

8U

Mot

orcy

cle3

N22

.950

.934

.323

.121

.921

.422

.7R23

.9R28

.4U

Per

10,

000

regi

ster

ed v

ehic

les

Pas

seng

er c

ar3

N5.

63.

72.

82.

52.

52.

42.

32.

22.

22.

1M

otor

cycl

e3N

8.2

9.1

7.7

5.8

5.6

5.6

6.0

6.1

6.8

6.6

KEY

: E =

est

imat

e; N

= d

ata

do n

ot e

xist

; R =

revi

sed;

U =

dat

a ar

e no

t ava

ilabl

e.

1/31

/200

6N

TS 2

002,

FH

WA

, NH

TSA

Page 387: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

6 Ib

id.,

Hig

hway

Sta

tistic

s S

umm

ary

to 1

995,

FH

WA

-PL-

97-0

09 (W

ashi

ngto

n, D

C: J

uly

1997

), ta

ble

MV

-201

.

NO

TES

Unl

ess

othe

rwis

e no

ted,

refe

r to

chap

ter t

able

s fo

r sou

rces

.

f In

clud

es m

otor

cycl

e da

ta.

SOU

RC

ES

e In

clud

ed in

sin

gle-

unit

2-ax

le 6

-tire

or m

ore

truck

cat

egor

y.

11 Ib

id.,

Hig

hway

Sta

tistic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le D

L-22

(rev

ised

tabl

es u

sed

whe

n ap

plic

able

).

8 Ib

id.,

Hig

hway

Sta

tistic

s S

umm

ary

to 1

995,

FH

WA

-PL-

97-0

09 (W

ashi

ngto

n, D

C: J

uly

1997

), ta

ble

VM

-201

.

3 U

.S. D

epar

tmen

t of T

rans

porta

tion,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

tratio

n (N

HTS

A), T

raffi

c S

afet

y Fa

cts

2001

, D

OT

HS

809

484

, (W

ashi

ngto

n, D

C: D

ecem

ber 2

002)

, tab

les

3, 4

, 7, a

nd 1

0.

2 U

.S. D

epar

tmen

t of L

abor

, Bur

eau

of L

abor

Sta

tistic

s, B

LS D

atab

ase,

Inte

rnet

site

http

://w

ww

.bls

.gov

/dat

a/sa

.htm

as

of

Janu

ary

2003

; cod

es “4

1412

0 Ta

xica

bs,”

“605

500

Aut

omot

ive

Dea

lers

and

Ser

vice

Sta

tions

,” “5

2501

0 M

otor

Veh

icle

Par

ts,

and

Sup

plie

s” a

nd “8

0750

0 A

uto

Rep

air,

Ser

vice

s, a

nd P

arki

ng."

4 U

.S. D

epar

tmen

t of T

rans

porta

tion,

Fed

eral

Hig

hway

Adm

inis

tratio

n (F

HW

A),

Hig

hway

Sta

tistic

s S

umm

ary

to 1

995,

FH

WA

-97

-009

(Was

hing

ton,

DC

: Jul

y 19

97),

tabl

e M

V-2

02.

7 Ib

id.,

Hig

hway

Sta

tistic

s S

umm

ary

to 1

995,

FH

WA

-Pl-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), ta

ble

DL-

201.

10 Ib

id.,

Hig

hway

Sta

tistic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le M

V-2

(rev

ised

tabl

es u

sed

whe

n ap

plic

able

).

5 Ib

id.,

Hig

hway

Sta

tistic

s S

umm

ary

to 1

995

, FH

WA

-97-

009

Was

hing

ton,

DC

: Jul

y 19

97),

tabl

e V

M–2

01A

, tab

le re

vise

d in

Ju

ne 1

999.

9 Ib

id.,

Hig

hway

Sta

tistic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

(rev

ised

tabl

es u

sed

whe

n ap

plic

able

).

g In

clud

ed in

pas

seng

er c

ars.

1 U

.S. D

epar

tmen

t of C

omm

erce

, Bur

eau

of E

cono

mic

Ana

lysi

s, N

atio

nal I

ncom

e an

d P

rodu

ct A

ccou

nts

Tabl

es,

tabl

e 2.

4 av

aila

ble

at h

ttp://

ww

w.b

ea.d

oc.g

ov/b

ea/d

n/ni

paw

eb/A

llTab

les.

asp

as o

f Jan

uary

200

3.

a Fi

gure

s ob

tain

ed b

y ad

ditio

n / s

ubtra

ctio

n an

d m

ay n

ot a

ppea

r dire

ctly

in d

ata

sour

ce.

b U

rban

con

sist

s of

trav

el o

n al

l roa

ds a

nd s

treet

s in

urb

an p

lace

s of

5,0

00 o

r gre

ater

pop

ulat

ion.

c In

Jul

y 19

97, t

he U

SD

OT,

Fed

eral

Hig

hway

Adm

inis

tratio

n pu

blis

hed

revi

sed

pass

enge

r-m

iles

data

for t

he h

ighw

ay m

odes

fo

r man

y ye

ars.

The

maj

or c

hang

e re

flect

ed th

e re

assi

gnm

ent o

f som

e ve

hicl

es fr

om th

e pa

ssen

ger c

ar c

ateg

ory

to th

e ot

her 2

axle

4-ti

re v

ehic

le c

ateg

ory.

d In

volv

emen

t onl

y w

ith m

otor

veh

icle

.

1/31

/200

6N

TS 2

002,

FH

WA

, NH

TSA

Page 388: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 369

Truc

k Pr

ofile

Fin

anci

al19

6019

7019

8019

9019

9519

9619

9719

9819

9920

00

Op

erat

ing

rev

enu

es, t

ota

la,1

(b

ased

on

SIC

) $

mill

ion

s)N

NN

127,

314

161,

806

172,

743

183,

153

NN

N

Loca

l tru

ckin

gN

NN

31,3

9743

,830

46,5

8949

,972

NN

N

Truc

king

, exc

ept l

ocal

NN

N74

,465

91,6

7597

,586

103,

847

NN

N

Loca

l tru

ckin

g w

ith s

tora

geN

NN

4,11

55,

154

5,50

25,

860

NN

N

Cou

rier

serv

ices

, exc

ept b

y ai

rN

NN

17,3

3721

,147

23,0

6623

,474

NN

N

Op

erat

ing

exp

ense

s, t

ota

l (b

ased

on

SIC

) ($

mill

ion

s)N

NN

118,

968

151,

628

162,

825

170,

998

NN

N

Loca

l tru

ckin

gN

NN

28,0

4938

,695

41,3

2543

,871

NN

N

Truc

king

, exc

ept l

ocal

NN

N70

,965

88,0

6194

,390

98,5

70N

NN

Loca

l tru

ckin

g w

ith s

tora

geN

NN

3,88

54,

817

5,12

15,

439

NN

N

Cou

rier

serv

ices

, exc

ept b

y ai

rN

NN

16,0

6920

,055

21,9

8923

,118

NN

N

Op

erat

ing

rev

enu

es, t

ota

lb,2

(b

ased

on

NA

ICS

) ($

mill

ion

s)

NN

NN

NN

N19

5,70

620

9,43

822

4,46

4

Truc

k tr

ansp

orta

tion

NN

NN

NN

N15

0,81

616

2,08

317

1,69

1

Cou

riers

mes

seng

ers

NN

NN

NN

N44

,890

47,3

5552

,773

Tru

ck h

igh

way

-use

r ta

xes

($ m

illio

ns)

Sta

te3

1,70

93,

429

6,73

112

,691

13,8

44U

15,7

5015

,611

16,2

66U

Fede

ral

1,12

12,

203

3,15

76,

665

11,2

73U

12,2

6013

,086

14,2

36U

Tota

lc2,

830

5,63

29,

888

19,3

5625

,117

U28

,010

28,6

9730

,502

U

Inve

nto

ry

Nu

mb

er o

f tr

uck

reg

istr

atio

ns

Sin

gle-

unit

truc

kN

103,

681,

405

104,

373,

784

104,

486,

981

125,

023,

670

125,

266,

029

125,

293,

358

125,

734,

925

125,

762,

864

125,

926,

030

Com

bina

tion

truc

kN

905,

082

1,41

6,86

91,

708,

895

1,69

5,75

11,

746,

586

1,78

9,96

81,

997,

345

2,02

8,56

22,

096,

619

Tota

l5 1

1,91

4,24

990

5,08

21,

416,

869

1,70

8,89

51,

695,

751

7,01

2,61

51,

789,

968

1,99

7,34

57,

791,

426

8,02

2,64

9

Nu

mb

er o

f em

plo

yees

Truc

king

and

cou

rier

serv

ices

, ex

cept

air

N11

998,

500

111,

182,

000

111,

273,

900

131,

440,

000

131,

482,

100

131,

514,

200

131,

568,

800

131,

613,

700

131,

630,

500

Truc

k dr

iver

s an

d de

liver

ymen

41,

477,

000

1,56

5,00

01,

931,

000

2,14

8,00

02,

861,

000

2,54

2,00

02,

602,

000

3,01

2,00

03,

116,

000

U

Nu

mb

er o

f tr

uck

ing

an

d c

ou

rier

es

tab

lish

men

ts,5

N64

,756

69,7

9690

,709

112,

887

116,

861

121,

111

119,

572

120,

687

122,

713

Per

form

ance

Veh

icle

-mile

s (m

illio

ns)

Rur

al h

ighw

ay

Rur

al in

ters

tate

N9 1

0,06

99 2

5,11

19 3

5,78

912

43,3

5112

45,7

2112

49,3

3612

49,8

9612

51,0

4912

52,6

37

Rur

al o

ther

art

eria

lN

17,6

2524

,789

31,3

3137

,056

37,8

7539

,193

39,7

2440

,691

41,6

46

Oth

er r

ural

roa

dsN

11,5

5018

,876

22,5

7225

,624

25,8

8426

,169

25,5

2226

,201

26,3

48

All

rura

l roa

ds9 8

4,50

829

,175

43,6

6553

,903

62,6

8010

9,48

011

4,69

811

5,14

211

7,94

112

0,63

1

Con

tinue

d ne

xt p

age

Page 389: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

370 � Appendix A: Modal Profiles

Per

form

ance

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

Urb

an h

ighw

ayd

Urb

an in

ters

tate

N5,

634

13,1

3522

,163

25,6

3926

,256

28,5

4930

,193

32,2

8632

,191

Oth

er u

rban

str

eets

N17

,337

26,5

8034

,387

46,4

8647

,235

48,2

3051

,045

52,4

6152

,969

All

urba

n st

reet

s42

,896

22,9

7139

,715

56,5

5072

,125

73,4

9176

,779

81,2

3884

,747

85,1

60

Tota

l rur

al a

nd u

rban

hig

hway

127,

405

52,1

4683

,380

110,

453

134,

805

182,

971

191,

477

196,

380

202,

688

205,

791

Pas

sen

ger

-mile

se (

mill

ion

s)

Sin

gle-

unit

truc

kf98

,551

27,0

8139

,813

51,9

0162

,705

64,0

7266

,893

68,0

2170

,304

70,5

83

Com

bina

tion

truc

k28

,854

35,1

3468

,678

94,3

4111

5,45

111

8,89

912

4,58

412

8,35

913

2,38

413

5,20

8

All

truc

ks12

7,40

562

,215

108,

491

146,

242

178,

156

182,

971

191,

477

196,

380

202,

688

205,

791

Ton

-mile

s, in

terc

ity

6 (m

illio

ns)

285,

000

412,

000

555,

000

735,

000

921,

000

972,

000

996,

000

1,02

7,00

01,

093,

000

U

Fu

el c

on

sum

ed (

mill

ion

gal

lon

s)

Sin

gle-

unit

truc

kN

103,

968

106,

923

108,

357

129,

216

129,

409

129,

576

126,

817

129,

372

129,

548

Com

bina

tion

truc

kN

7,34

813

,037

16,1

3319

,777

20,1

9220

,302

25,1

5824

,537

25,6

45

All

truc

ks4 1

5,88

211

,316

19,9

6024

,490

28,9

9329

,601

29,8

7831

,975

33,9

0935

,193

Ave

rag

e fu

el c

on

sum

pti

on

per

veh

icle

(g

allo

ns)

Sin

gle-

unit

truc

kN

1,07

81,

583

1,86

21,

835

1,78

71,

809

1,18

91,

626

1,61

1

Com

bina

tion

truc

kN

8,11

99,

201

9,44

111

,663

11,5

6111

,342

12,5

9612

,096

12,2

32

All

truc

ks1,

333

2,46

73,

447

3,95

34,

315

4,22

14,

218

4,13

54,

352

4,38

7

Ave

rag

e m

iles

trav

eled

per

gal

lon

of

fuel

co

nsu

med

Sin

gle-

unit

truc

kN

6.8

5.8

6.2

6.8

6.8

7.0

10.0

7.5

7.4

Com

bina

tion

truc

kN

4.8

5.3

5.8

5.8

5.9

6.1

5.1

5.4

5.3

All

truc

ks8.

05.

55.

46.

06.

16.

26.

46.

16.

05.

8

Ave

rag

e m

iles

trav

eled

per

veh

icle

Sin

gle-

unit

truc

kN

7,35

69,

103

11,5

6712

,482

12,1

6712

,637

11,8

6112

,199

11,9

11

Com

bina

tion

truc

kN

38,8

1948

,472

55,2

0668

,083

68,0

7569

,601

64,2

6565

,260

64,4

89

All

truc

ks10

,693

13,5

6518

,736

23,6

0326

,514

26,0

9227

,032

25,3

9726

,014

25,6

51

Ave

rag

e le

ng

th o

f hau

l (d

om

esti

c fr

eig

ht)

7 (

mile

s)27

226

336

339

141

642

643

544

245

8U

Saf

ety

Occ

up

ant

fata

litie

s

Ligh

t tru

ck8

NN

7,48

68,

601

9,56

89,

932

10,2

4910

,705

11,2

6511

,526

Larg

e tr

uck

NN

1,26

270

564

862

172

374

275

975

4

All

truc

ksN

N8,

748

9,30

610

,216

10,5

5310

,972

11,4

4712

,024

12,2

80

Truc

k Pr

ofile

(Con

tinue

d)

Page 390: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 371

Saf

ety

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

Occ

up

ant

fata

lity

rate

Per

100

mill

ion

vehi

cle-

mile

s

Ligh

t tru

ckN

N2.

51.

51.

31.

31.

21.

21.

21.

2

Larg

e tr

uck

NN

1.2

0.5

0.4

0.3

0.4

0.4

0.4

0.4

All

truc

ksN

N2.

21.

31.

11.

11.

11.

11.

11.

1

Per

10,

000

regi

ster

ed v

ehic

les

Ligh

t tru

ckN

N2.

51.

71.

51.

51.

51.

51.

51.

5

Larg

e tr

uck

NN

2.2

1.1

1.0

0.9

1.0

1.0

1.0

0.9

All

truc

ksN

N2.

41.

71.

51.

51.

51.

51.

51.

5

Veh

icle

invo

lvem

ent

rate

(fa

tal c

rash

es)

Per

100

mill

ion

vehi

cle-

mile

s

Ligh

t tru

ckN

N4.

32.

82.

32.

32.

32.

22.

22.

2

Larg

e tr

uck

NN

5.0

3.3

2.5

2.6

2.6

2.5

2.4

2.4

All

truc

ksN

N4.

52.

92.

42.

42.

32.

32.

22.

2

Per

10,

000

regi

ster

ed v

ehic

les

Ligh

t tru

ckN

N4.

23.

12.

82.

82.

82.

82.

72.

7

Larg

e tr

uck

NN

9.3

7.7

6.7

6.8

6.9

6.4

6.3

6.1

All

truc

ksN

N5.

03.

63.

23.

23.

23.

23.

13.

0

KE

Y: N

= d

ata

do n

ot e

xist

; U =

dat

a ar

e no

t ava

ilabl

e.

aL

ocal

tru

ckin

g (S

IC 4

212)

- E

stab

lishm

ents

pri

mar

ily e

ngag

ed in

fur

nish

ing

truc

king

or

tran

sfer

ser

vice

s w

itho

ut s

tora

ge f

or f

reig

ht g

ener

ally

wei

ghin

g m

ore

than

100

pou

nds.

Tru

ckin

g, e

xcep

t lo

cal (

SIC

421

3) -

Est

ablis

hmen

ts p

rim

arily

eng

aged

in f

urni

shin

g “o

ver-

the-

road

” tr

ucki

ng s

ervi

ces

or t

ruck

ing

serv

ices

and

sto

rage

ser

-vi

ces,

incl

udin

g ho

useh

old

good

s ei

ther

as

com

mon

car

rier

s or

und

er s

peci

al o

r in

divi

dual

con

trac

ts o

r ag

reem

ents

, for

fre

ight

gen

eral

ly w

eigh

ing

mor

e th

an

100

poun

ds.

Loc

al t

ruck

ing,

wit

hout

sto

rage

(SI

C 4

214)

- E

stab

lishm

ents

pri

mar

ily e

ngag

ed in

fur

nish

ing

both

tru

ckin

g an

d st

orag

e se

rvic

es, i

nclu

ding

hou

seho

ld g

oods

.C

ouri

er s

ervi

ces,

exc

ept b

y ai

r (S

IC 4

215)

- E

stab

lishm

ents

pri

mar

ily e

ngag

ed in

the

deliv

ery

of in

divi

dual

ly a

ddre

ssed

lett

ers,

par

cels

, and

pac

kage

s (g

ener

ally

un

der

100

poun

ds).

bT

ruck

tra

nspo

rtat

ion

(NA

ICS

484)

- I

ndus

trie

s pr

imar

ily e

ngag

ed in

ove

r-th

e-ro

ad t

rans

port

atio

n of

car

go u

sing

mot

or v

ehic

les,

tru

ck-t

ract

ors,

and

tra

ilers

.C

ouri

ers

and

mes

seng

ers

(NA

ICS

492)

- E

stab

lishm

ents

pri

mar

ily e

ngag

ed in

pro

vidi

ng a

ir, s

urfa

ce, o

r co

mbi

ned

cour

ier

deliv

ery

serv

ices

of

parc

els

or p

rim

a-ri

ly e

ngag

ed in

fur

nish

ing

loca

l mes

seng

er a

nd d

eliv

ery

serv

ices

of

smal

l ite

ms

wit

hin

a si

ngle

met

ropo

litan

are

a or

urb

an c

ente

r.c

Num

bers

may

not

equ

al t

otal

s du

e to

rou

ndin

g.d

Urb

an c

onsi

sts

of t

rave

l on

all r

oads

and

str

eets

in u

rban

pla

ces

of 5

,000

or

grea

ter

popu

lati

on.

eH

ighw

ay p

asse

nger

-mile

s ar

e ca

lcul

ated

by

mul

tipl

ying

veh

icle

-mile

s of

tra

vel a

s ci

ted

by t

he F

eder

al H

ighw

ay A

dmin

istr

atio

n (F

HW

A)

by t

he a

vera

ge n

um-

ber

of o

ccup

ants

for

eac

h ve

hicl

e ty

pe a

s es

tim

ated

by

the

FHW

A u

sing

the

Nat

ionw

ide

Pers

onal

Tra

nspo

rtat

ion

Surv

ey.

fIn

clud

es o

ther

2-a

xle

4-ti

re v

ehic

le in

196

0.C

ontin

ued

next

pag

e

Truc

k Pr

ofile

(Con

tinue

d)

Page 391: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

372 � Appendix A: Modal ProfilesTr

uck

Prof

ile (C

ontin

ued)

NO

TE

In 1

995,

FH

WA

rev

ised

its

vehi

cle

type

cat

egor

ies.

The

se n

ew c

ateg

orie

s in

clud

e pa

ssen

ger

car,

othe

r 2-

axle

4-t

ire

vehi

cle,

sin

gle-

unit

2-a

xle

6-ti

re o

r m

ore

truc

k,

and

com

bina

tion

tru

ck. O

ther

2-a

xle

4-ti

re v

ehic

les

incl

ude

vans

, pic

kup

truc

ks, a

nd s

port

/uti

lity

vehi

cles

. In

prev

ious

yea

rs, s

ome

min

ivan

s an

d sp

ort/

utili

ty

vehi

cles

wer

e in

clud

ed in

the

pas

seng

er c

ar c

ateg

ory.

Sin

gle-

unit

2-a

xle

6-ti

re o

r m

ore

truc

ks a

re o

n a

sing

le f

ram

e w

ith

at le

ast

2 ax

les

and

6 ti

res.

SOU

RC

ES

Unl

ess

othe

rwis

e no

ted,

ref

er t

o ch

apte

r ta

bles

for

sou

rces

.1

U.S

. Cen

sus

Bur

eau,

Tra

nspo

rtat

ion

Ann

ual S

urve

y (W

ashi

ngto

n, D

C: D

ecem

ber

1998

), t

able

1.

2 Ib

id.,

Serv

ice

Ann

ual S

urve

y, 2

000

(Was

hing

ton,

DC

: Dec

embe

r 20

01),

tab

le 2

.2.

3 A

mer

ican

Tru

ckin

g A

ssoc

iati

on, A

mer

ican

Tru

ckin

g T

rend

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.4

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

001)

, p. 3

5.5

U.S

. Bur

eau

of th

e C

ensu

s, C

ount

y B

usin

ess

Pat

tern

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le 2

(NA

ICS

484

and

492/

SIC

421

), an

d si

mila

r ta

bles

in e

arlie

r ed

ition

s.6

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

001)

, p. 1

2.7

Ibid

, p. 5

1.8

U.S

. Dep

artm

ent

of T

rans

port

atio

n, N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, T

raff

ic S

afet

y Fa

cts

2000

, DO

T H

S 80

9 33

7 (W

ashi

ngto

n, D

C: D

ecem

-be

r 20

00),

tab

les

8 an

d 9,

and

Fat

alit

y A

naly

sis

Rep

orti

ng S

yste

m (

FAR

S) Q

uery

, Sep

t. 1

0, 2

002.

9 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion,

Hig

hway

Sta

tist

ics

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

VM

-201

.10

Ibi

d., t

able

VM

-201

A.

11 U

.S. D

epar

tmen

t of L

abor

, Bur

eau

of L

abor

Sta

tistic

s, E

mpl

oym

ent,

Hou

rs a

nd E

arni

ngs,

Uni

ted

Stat

es, 1

909-

1994

(W

ashi

ngto

n, D

C: S

epte

mbe

r 19

94),

SIC

421

.12

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le V

M-1

.13

Ibi

d., I

nter

net

site

ww

w.b

ls.g

ov a

s of

Aug

. 17,

200

1. (

Cod

e: 4

1421

0).

Page 392: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 373

Bus

Prof

ile

Fin

anci

al19

6019

7019

8019

9019

9519

9619

9719

9819

9920

00

Exp

end

itu

res

($ t

ho

usa

nd

s)

Sch

ool b

us1 4

86,0

001 1

,219

,000

1 3,8

33,0

001 8

,031

,000

1 9,8

89,0

001 9

,082

,000

1 10,

353,

000

1 10,

326,

000

1 10,

340,

000

U

Op

erat

ing

rev

enu

es (

$ th

ou

san

ds)

Inte

rcity

bus

, Cla

ss I

2 463

,100

2 72

1,70

02 1

,397

,378

2 943

,268

9 1,1

89,2

35R

,998

5,53

79 1

,080

,083

9 1,0

74,5

829 1

,326

,909

1,13

3,82

2

Op

erat

ing

exp

ense

s ($

th

ou

san

ds)

Inte

rcity

bus

, Cla

ss I

405,

400

639,

000

1,31

8,37

21,

026,

213

1,25

3,53

7R

941,

014

1,02

2,68

01,

016,

208

1,31

3,90

01,

078,

386

Inve

nto

ry

Nu

mb

er o

f o

per

atin

g c

om

pan

ies

Inte

rcity

bus

, Cla

ss I

143

7161

319 2

49 2

022

9 20

9 18

9 15

Num

ber

of v

ehic

les

All

buse

s3 2

72,1

293 3

77,5

623 5

28,7

893 6

26,9

873 6

85,5

033 6

94,7

813

697,

548

3 715

,540

3 728

,777

3 746

,125

Nu

mb

er o

f em

plo

yees

Inte

rcity

and

rur

al b

us4 4

0,50

04 4

3,40

04 3

7,90

04 2

6,10

010

23,8

0010

23,8

0010

22,2

0010

24,4

0010

23,8

0010

24,7

00

Sch

ool b

usN

N79

,900

111,

200

131,

100

132,

200

136,

500

141,

000

146,

100

146,

700

Per

form

ance

Veh

icle

-mile

s (m

illio

ns)

All

buse

s

Rur

al h

ighw

ay

Inte

rsta

te r

ural

N5 3

395 5

335 5

676 7

116 7

426 7

946 8

346 9

7198

1

Oth

er a

rter

ial r

ural

N94

499

199

51,

171

1,18

61,

243

1,28

21,

375

1,27

0

Oth

er r

ural

N1,

266

1,51

11,

882

1,97

22,

005

2,07

22,

135

R2,

321

2,24

7

All

rura

l5 2

,332

2,54

93,

035

3,44

43,

854

3,93

34,

109

4,25

1R

4,66

74,

498

Urb

an h

ighw

aya

Inte

rsta

te u

rban

N27

756

045

558

059

864

766

3R

752

791

Oth

er u

rban

N1,

718

2,46

41,

828

1,98

62,

007

2,08

62,

093

R2,

243

2,31

2

All

urba

n2,

014

1,99

53,

024

2,28

32,

566

2,60

52,

733

2,75

62,

995

3,10

3

Tota

l rur

al a

nd u

rban

hig

hway

4,34

64,

544

6,05

95,

726

6,42

06,

538

6,84

27,

007

R7,

662

7,60

1

Con

tinue

d ne

xt p

age

Page 393: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

374 � Appendix A: Modal Profiles

Per

form

ance

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

Pas

sen

ger

-mile

s (m

illio

ns)

All

buse

sN

NN

121,

398

136,

104

138,

613

145,

060

148,

558

R16

2,44

516

1,15

2

Nu

mb

er o

f re

ven

ue

pas

sen

ger

s (t

ho

usa

nd

s)

Inte

rcity

bus

, tot

al1 3

66,0

001 4

01,0

001 3

70,0

001 3

34,0

001 3

66,5

001 3

47,9

001 3

50,6

001 3

57,6

001 3

58,9

00U

Ave

rag

e m

iles

trav

eled

per

veh

icle

All

buse

s6 1

5,97

06 1

2,03

56 1

1,45

86 9

,133

6 9,3

656 9

,386

6 9,8

096 9

,793

6 10,

515

6 10,

187

Fu

el c

on

sum

ed (

mill

ion

gal

lon

s)

All

buse

s82

782

01,

018

895

968

985

1,02

71,

040

1,14

81,

110

Ave

rag

e fu

el c

on

sum

pti

on

p

er v

ehic

le (

gal

lon

s)

All

buse

s3,

039

2,17

21,

925

1,42

71,

412

1,41

41,

472

1,45

4R

1,57

61,

488

Ave

rag

e m

iles

trav

eled

per

gal

lon

o

f fu

el c

on

sum

ed

All

buse

s5.

35.

56.

06.

46.

66.

66.

76.

76.

76.

8

Ave

rag

e re

ven

ue

per

pas

sen

ger

-m

ile (

cen

ts)

(in

terc

ity)

1 2.7

11 3

.60

1 7.2

61 1

1.55

1 12.

191 1

2.30

1 12.

561 1

2.75

1 12.

76U

Saf

ety

Nu

mb

er o

f fa

talit

ies

Sch

ool b

us-r

elat

edN

N7 1

507 1

157 1

237 1

367 1

317 1

2811

167

1114

4

Sch

ool b

us

Occ

upan

tsN

N9

1113

108

610

20

Oth

er v

ehic

le

Occ

upan

tsN

N88

6472

101

9991

127

98

Non

occu

pant

sN

N53

4038

2524

3130

26

Occ

up

ant

fata

litie

s

All

buse

sN

N46

3233

2118

3812

5912

22

Sch

ool b

uses

NN

1413

1210

86

816

Cro

ss c

ount

ry b

uses

NN

232

63

513

323

Tran

sit b

uses

NN

63

15

32

61

Oth

er a

nd u

nkno

wn

NN

314

143

217

132

Fata

litie

s in

veh

icu

lar

acci

den

tsb

All

buse

sN

N8 3

908 3

408 3

118 3

678 3

398 3

288 3

73U

Bus

Prof

ile (C

ontin

ued)

Page 394: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 375

Saf

ety

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

Occ

up

ant

fata

lity

rate

Per

100

mill

ion

vehi

cle-

mile

s

All

buse

sN

N0.

80.

60.

50.

30.

30.

50.

80.

3

Per

10,

000

regi

ster

ed v

ehic

les

All

buse

sN

N0.

90.

50.

50.

30.

30.

50.

80.

3

Veh

icle

invo

lvem

ent

rate

Per

100

mill

ion

vehi

cle-

mile

s

All

buse

sN

N6.

45.

94.

85.

65.

04.

74.

1U

Per

10,

000

regi

ster

ed v

ehic

les

All

buse

sN

N7.

45.

44.

55.

34.

94.

64.

4U

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aU

rban

con

sist

s of

tra

vel o

n al

l roa

ds a

nd s

tree

ts in

urb

an p

lace

s of

5,0

00 o

r gr

eate

r po

pula

tion

.b

Incl

udes

all

fata

litie

s th

at o

ccur

red

in a

n ac

cide

nt in

whi

ch a

bus

was

invo

lved

.

NO

TE

Se

e tr

ansi

t pr

ofile

for

tra

nsit

bus

dat

a.

SOU

RC

ES

Unl

ess

othe

rwis

e no

ted,

ref

er t

o ch

apte

r ta

bles

for

sou

rces

.1

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

In A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

001)

, p. 1

1, 1

6, a

nd 1

8.2

Inte

rsta

te C

omm

erce

Com

mis

sion

, Ann

ual R

epor

t of

the

IC

C (

Was

hing

ton,

DC

: Ann

ual i

ssue

s), A

ppen

dix

F, t

able

s 1

and

6.3

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le M

V-1

0.

4 U

.S. D

epar

tmen

t of

Lab

or, B

urea

u of

Lab

or S

tati

stic

s, E

mpl

oym

ent,

Hou

rs a

nd E

arni

ngs,

Uni

ted

Stat

es, 1

909-

1994

(W

ashi

ngto

n, D

C: S

epte

mbe

r 19

94),

SIC

co

des

413

and

415.

5 Ib

id.,

Hig

hway

Sta

tist

ics,

Sum

mar

y to

199

5, F

HW

A-P

L-9

7-00

9 (W

ashi

ngto

n, D

C: J

uly

1997

), t

able

VM

-201

A.

6 Ib

id.,

Hig

hway

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s), t

able

VM

-1.

7 Ib

id.,

Nat

iona

l Hig

hway

Tra

ffic

Saf

ety

Adm

inis

trat

ion,

Tra

ffic

Saf

ety

Fact

s 19

98, D

OT

HS

808

983

(Was

hing

ton,

DC

: Oct

ober

199

9), t

able

s 74

and

93.

8 Ib

id.,

Fata

lity

Ana

lysi

s R

epor

ting

Sys

tem

(FA

RS)

Que

ry, I

nter

net

site

, htt

p://w

ww

-far

s.nh

tsa.

dot.

gov

as o

f Se

pt. 2

7, 2

002.

9 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, Sel

ecte

d E

arni

ngs

Dat

a, C

lass

I M

otor

Car

rier

s of

Pas

seng

ers

(Was

hing

ton,

DC

: A

nnua

l iss

ues)

.10

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Em

ploy

men

t, H

ours

and

Ear

ning

s, U

nite

d St

ates

, 190

9-19

94 (

Was

hing

ton,

DC

: Sep

tem

ber

1994

),

Inte

rnet

sit

e w

ww

.bls

.gov

as

of S

ept.

27,

200

2.11

Ibid

., N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, 2

000

Tra

ffic

Saf

ety

Fact

She

ets,

DO

T H

S 80

9 33

2 (W

ashi

ngto

n, D

C: D

ecem

ber

2001

).12

Ibi

d., N

atio

nal H

ighw

ay T

raff

ic S

afet

y A

dmin

istr

atio

n, p

erso

nal c

omm

unic

atio

n, M

ay 2

002.

Bus

Prof

ile (C

ontin

ued)

Page 395: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

376 � Appendix A: Modal ProfilesTr

ansi

t Pro

file

Fin

anci

al19

6019

7019

8019

9019

9519

9619

9719

9819

99P20

00

Pas

sen

ger

op

erat

ing

rev

enu

es

($ m

illio

ns)

, to

tal

1,40

71,

707

6,51

016

,053

18,2

5619

,151

19,5

1521

,062

22,2

2024

,243

Pas

sen

ger

far

es1

1,33

51,

639

2,55

65,

891

6,81

67,

416

7,54

67,

970

8,28

28,

746

Mot

or b

usN

NN

2,96

73,

287

3,51

53,

558

3,99

14,

175

4,37

6

Hea

vy r

ail

NN

N1,

741

2,01

82,

322

2,35

12,

297

2,32

32,

483

Ligh

t rai

lN

NN

8312

714

413

915

016

418

1

Trol

ley

bus

NN

N46

5455

5755

6060

Dem

and

resp

onsi

veN

NN

4114

615

717

014

215

917

2

Fer

rybo

ata

NN

N56

6054

5141

4860

Com

mut

er r

ail

NN

N95

21,

078

1,14

61,

178

1,25

51,

309

1,37

5

Oth

erb

NN

N26

4624

4238

4641

Oth

er o

per

atin

g r

even

ue2

7268

248

895

2,81

22,

928

3,30

83,

685

3,64

84,

217

Tota

l ope

ratin

g re

venu

es1,

407

1,70

72,

805

6,78

69,

628

10,3

4510

,854

11,6

5411

,930

12,9

63

Ope

ratin

g as

sist

ance

c

Sta

te a

nd lo

cal

NN

2,61

18,

297

7,81

18,

210

8,01

48,

656

9,41

810

,286

Fed

eral

NN

1,09

397

081

759

664

775

187

299

4

Tota

l ope

ratin

g as

sist

ance

NN

3,70

59,

267

8,62

88,

807

8,66

19,

408

10,2

9011

,280

Op

erat

ing

exp

ense

s ($

mill

ion

s), t

ota

l 1,

377

1,99

66,

711

17,9

7921

,540

22,2

6023

,159

24,3

1825

,538

28,1

94

Mot

or b

us3

NN

N8,

903

10,3

2110

,575

10,9

4411

,429

11,7

1412

,966

Hea

vy r

ail

NN

N3,

825

3,52

33,

402

3,47

43,

530

3,69

33,

931

Ligh

t rai

lN

NN

237

376

442

473

500

546

606

Trol

ley

bus

NN

N10

913

913

514

014

716

717

8

Dem

and

resp

onsi

veN

NN

518

1,00

01,

187

1,28

51,

405

1,41

91,

805

Fer

rybo

ata

NN

N17

121

018

322

121

423

826

8

Com

mut

er r

ail

NN

N1,

939

2,21

12,

294

2,27

82,

361

2,57

52,

685

Oth

erb

NN

N41

6712

412

215

416

020

6

Tota

l ope

ratin

g ex

pens

esd

NN

6,24

715

,742

17,8

4918

,341

18,9

3619

,739

20,5

1222

,646

Dep

reci

atio

n an

d am

ortiz

atio

n4N

N27

81,

593

2,60

12,

885

3,10

63,

435

3,69

24,

076

Oth

er r

econ

cilin

g ite

ms

NN

186

644

1,09

11,

034

1,11

71,

145

1,33

31,

472

Ave

rag

e p

asse

ng

er r

even

ue

per

pas

sen

ger

-mile

($)

Mot

or b

us5

NN

N0.

140.

170.

180.

180.

200.

200.

21

Hea

vy r

ail

NN

N0.

150.

190.

200.

200.

190.

180.

18

Ligh

t rai

lN

NN

0.15

0.15

0.15

0.13

0.13

0.14

0.13

Page 396: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 377

Fin

anci

al (

con

tin

ued

)19

6019

7019

8019

9019

9519

9619

9719

9819

99P20

00

Trol

ley

bus

NN

N0.

240.

290.

300.

300.

300.

320.

31

Dem

and

resp

onsi

veN

NN

0.10

0.29

0.24

0.23

0.19

0.20

0.21

Fer

rybo

ata

NN

N0.

200.

230.

210.

170.

140.

160.

18

Com

mut

er r

ail

NN

N0.

140.

130.

140.

150.

140.

150.

15

Oth

erb

NN

N0.

210.

170.

070.

110.

090.

100.

09

All

mod

esN

NN

0.14

0.17

0.18

0.18

0.18

0.18

0.18

Ave

rag

e p

asse

ng

er f

are,

per

un

linke

d t

rip

($)

Mot

or b

us6

NN

N0.

520.

660.

700.

700.

740.

740.

77

Hea

vy r

ail

NN

N0.

740.

991.

080.

970.

960.

920.

94

Ligh

t rai

lN

NN

0.47

0.50

0.55

0.53

0.54

0.56

0.57

Trol

ley

bus

NN

N0.

360.

450.

470.

470.

470.

500.

49

Dem

and

resp

onsi

veN

NN

0.60

2.26

2.21

1.83

1.49

1.59

1.64

Ferr

yboa

taN

NN

1.11

1.31

1.12

0.99

0.80

0.91

1.13

Com

mut

er r

ail

NN

N2.

903.

133.

243.

303.

293.

313.

32

Oth

erb

NN

N0.

901.

571.

330.

661.

020.

760.

66

All

mod

es0.

140.

220.

300.

670.

870.

930.

890.

910.

900.

93

Inve

nto

ry

Nu

mb

er o

f sy

stem

s

Mot

or b

us7

1,23

61,

075

1,02

22,

685

2,25

02,

250

2,25

02,

262

2,26

22,

262

Hea

vy r

ail

3115

1112

1414

1414

1414

Ligh

t rai

l~

~9

1722

2222

2324

25

Trol

ley

bus

196

55

55

55

55

Dem

and

resp

onsi

veN

NN

3,19

35,

214

5,21

45,

214

5,25

45,

252

5,25

2

Ferr

yboa

taN

N16

2725

2525

2830

33

Com

mut

er r

ail

NN

1814

1616

1818

2019

Oth

erb

NN

535

6969

7072

8181

Tota

le1,

286

1,09

61,

055

5,07

85,

973

5,97

35,

975

6,00

06,

000

6,00

0

Nu

mb

er o

f ve

hic

les

Mot

or b

us8

49,6

0049

,700

59,4

1158

,714

67,1

0771

,678

72,7

7072

,142

74,2

2875

,013

Hea

vy r

ail

9,01

09,

286

9,64

110

,419

10,1

5710

,201

10,2

4210

,301

10,3

0610

,591

Ligh

t rai

l2,

856

1,26

21,

013

913

999

1,14

01,

229

1,22

01,

297

1,57

7

Trol

ley

bus

3,82

61,

050

823

832

885

871

859

880

859

951

Dem

and

resp

onsi

veN

NN

16,4

7129

,352

30,8

0432

,509

29,6

4631

,884

33,0

80

Con

tinue

d ne

xt p

age

Tran

sit P

rofil

e (C

ontin

ued)

Page 397: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

378 � Appendix A: Modal Profiles

Inve

nto

ry (

con

tin

ued

)19

6019

7019

8019

9019

9519

9619

9719

9819

99P20

00

Ferr

yboa

taN

NN

108

110

109

134

113

112

119

Com

mut

er r

ail

NN

4,50

04,

415

4,56

54,

665

4,94

34,

963

4,88

35,

073

Oth

erb

NN

N1,

089

2,69

92,

894

3,67

44,

590

4,94

75,

089

Tota

l65

,292

61,2

9875

,388

92,9

6111

5,87

412

2,36

212

6,36

012

3,85

512

8,51

613

1,49

3

Nu

mb

er o

f em

plo

yees

f

Mot

or b

us9

121,

300

101,

598

N16

2,18

918

1,97

319

0,15

219

6,86

119

8,64

420

4,17

921

1,09

5

Hea

vy r

ail

35,1

0036

,442

N46

,102

45,6

4445

,793

45,9

3545

,163

46,3

1147

,087

Ligh

t rai

l+

+N

4,06

64,

935

5,72

85,

940

6,02

46,

058

6,57

2

Trol

ley

bus

++

N1,

925

1,87

12,

084

2,03

72,

053

2,14

02,

223

Dem

and

resp

onsi

veN

NN

22,7

4039

,882

44,6

6744

,029

48,4

0651

,186

52,0

21

Ferr

yboa

taN

NN

2,81

32,

697

2,83

03,

166

3,89

44,

024

2,68

2

Com

mut

er r

ail

NN

N21

,443

22,3

2022

,604

21,6

5122

,488

22,8

9623

,518

Oth

erb

NN

N89

81,

169

1,08

61,

140

1,08

01,

091

1,21

7

Tota

l15

6,40

013

8,04

018

9,30

026

2,17

630

0,49

131

4,94

432

0,75

932

7,75

233

7,88

534

6,41

5

Per

form

ance

Veh

icle

-mile

s (m

illio

ns)

Mot

or b

us10

1,57

61,

409

1,67

72,

130

2,18

42,

221

2,24

52,

175

2,27

62,

315

Hea

vy r

ail

391

407

385

537

537

543

558

566

578

595

Ligh

t rai

l75

3418

2435

3841

4449

53

Trol

ley

bus

101

3313

1414

1414

1414

15

Dem

and

resp

onsi

veN

NN

306

507

548

585

671

718

759

Ferr

yboa

taN

N2

23

33

33

3

Com

mut

er r

ail

NN

179

213

238

242

251

260

266

271

Oth

erb

NN

1316

3343

5063

6971

Tota

l2,

143

1,88

32,

287

3,24

23,

550

3,65

03,

746

3,79

43,

972

4,08

1

Un

linke

d p

asse

ng

er t

rip

s (m

illio

ns)

Mot

or b

us11

N5,

034

5,83

75,

677

4,84

84,

887

5,01

35,

399

5,64

85,

678

Hea

vy r

ail

N1,

881

2,10

82,

346

2,03

32,

157

2,43

02,

393

2,52

12,

632

Ligh

t rai

lN

124

133

175

251

261

262

276

292

320

Trol

ley

bus

N18

214

212

611

911

712

111

712

012

2

Dem

and

resp

onsi

veN

NN

6888

9399

9510

010

5

Ferr

yboa

taN

N63

5047

4851

5253

53

Tran

sit P

rofil

e (C

ontin

ued)

Page 398: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 379

Per

form

ance

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

P20

00

Com

mut

er r

ail

NN

280

328

344

352

357

381

396

413

Oth

erb

NN

429

3333

4137

3840

Tota

lN

7,33

28,

567

8,79

97,

763

7,94

88,

374

8,75

09,

168

9,36

3

Pas

sen

ger

-mile

s (m

illio

ns)

Mot

or b

us12

NN

21,7

9020

,981

18,8

1819

,096

19,6

0420

,360

21,2

0521

,241

Hea

vy r

ail

NN

10,5

5811

,475

10,5

5911

,530

12,0

5612

,284

12,9

0213

,844

Ligh

t rai

lN

N38

157

186

095

71,

035

1,12

81,

206

1,35

6

Trol

ley

bus

NN

219

193

187

184

189

182

186

192

Dem

and

resp

onsi

veN

NN

431

607

656

754

735

813

839

Ferr

yboa

taN

NN

286

260

256

294

294

310

330

Com

mut

er r

ail

NN

6,51

67,

082

8,24

48,

351

8,03

88,

704

8,76

69,

402

Oth

erb

NN

390

124

273

348

369

441

469

462

Tota

lN

N39

,854

41,1

4339

,808

41,3

7842

,339

44,1

2845

,857

47,6

66

Ave

rag

e tr

ip le

ng

th (

mile

s)

Mot

or b

us13

NN

NN

44

44

44

Hea

vy r

ail

NN

NN

55

55

55

Ligh

t rai

lN

NN

N3

44

44

4

Trol

ley

bus

NN

NN

22

22

22

Dem

and

resp

onsi

veN

NN

N8

910

88

8

Ferr

yboa

taN

NN

N6

56

66

6

Com

mut

er r

ail

NN

NN

2424

2323

2223

Van

pool

NN

NN

3534

3336

3435

Oth

erg

NN

NN

11

11

11

All

mod

esN

NN

N5

55

55

5

Ave

rag

e ve

hic

le s

pee

d (

mile

s p

er h

ou

r)

Mot

or b

us14

NN

NN

1313

1313

1313

Hea

vy r

ail

NN

NN

2121

2121

2121

Ligh

t rai

lN

NN

N14

1416

1615

15

Trol

ley

bus

NN

NN

88

88

77

Dem

and

resp

onsi

veN

NN

N15

1515

1715

15

Ferr

yboa

taN

NN

N6

77

88

8

Com

mut

er r

ail

NN

NN

3433

3432

3329

Con

tinue

d ne

xt p

age

Tran

sit P

rofil

e (C

ontin

ued)

Page 399: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

380 � Appendix A: Modal Profiles

Per

form

ance

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

P20

00

Van

pool

NN

NN

3537

3637

3831

Oth

erg

NN

NN

67

77

78

All

mod

esN

NN

N15

1515

1515

15

En

erg

y co

nsu

mp

tio

n, d

iese

l (m

illio

n g

allo

ns)

Mot

or b

us15

NN

N56

356

457

859

860

761

863

5

Hea

vy r

ail

NA

NA

NA

NA

NA

NA

NA

NA

NA

NA

Ligh

t rai

lN

AN

AN

AN

AN

AN

AN

AN

AN

AN

A

Trol

ley

bus

NA

NA

NA

NA

NA

NA

NA

NA

NA

NA

Dem

and

resp

onsi

veN

NN

1529

3132

3843

48

Ferr

yboa

taN

NN

2022

2224

2529

32

Com

mut

er r

ail

NN

N53

6362

6369

7371

Oth

erb

NN

N<

1<

1<

1<

1<

1<

1<

1

Tota

l15

208

1527

115

431

651

678

693

717

740

763

786

En

erg

y co

nsu

mp

tio

n, o

ther

(m

illio

n g

allo

ns)

Gas

olin

e an

d ot

her

nond

iese

l fue

lsh,

1619

268

1133

6161

5953

4948

Com

pres

sed

natu

ral g

asU

UU

U11

1524

3744

55

Tota

l19

269

1134

7176

8390

9310

3

En

erg

y co

nsu

mp

tio

n (

mill

ion

kW

h)

Mot

or b

usN

AN

AN

AN

AN

AN

AN

AN

AN

AN

A

Hea

vy r

ail1

7N

NN

3,28

43,

401

3,33

23,

253

3,28

03,

385

3,54

9

Ligh

t rai

lN

NN

239

288

321

361

381

416

463

Trol

ley

bus

NN

N69

100

6978

7475

77

Dem

and

resp

onsi

veN

AN

AN

AN

AN

AN

AN

AN

AN

AN

A

Ferr

yboa

taN

AN

AN

AN

AN

AN

AN

AN

AN

AN

A

Com

mut

er r

ail

NN

N1,

226

1,25

31,

255

1,27

01,

299

1,32

21,

370

Oth

erb

NN

N19

2630

2639

3951

Tota

l17

2,90

817

2,56

117

2,44

64,

837

5,06

85,

007

4,98

85,

073

5,23

75,

510

Tran

sit P

rofil

e (C

ontin

ued)

Page 400: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 381

Saf

ety1

819

6019

7019

8019

9019

9519

9619

9719

9819

99P20

00

Fata

litie

s, a

ll m

odes

NN

N33

927

426

427

528

629

929

5

Inju

red

pers

ons,

all

mod

esN

NN

54,5

5657

,196

55,2

8856

,132

55,9

9055

,325

56,6

97

Inci

dent

s, a

ll m

odes

NN

N90

,163

62,4

7159

,392

61,5

6160

,094

58,7

0359

,898

KE

Y: ~

= in

clud

ed in

hea

vy r

ail f

igur

e; +

= in

clud

ed in

mot

or b

us fi

gure

; kW

h =

kilo

wat

t hou

rs; N

= d

ata

do n

ot e

xist

; NA

= n

ot a

pplic

able

; P =

pre

limin

ary;

U =

dat

a ar

e no

t ava

ilabl

e.

aE

xclu

des

inte

rnat

iona

l, ru

ral,

rura

l int

erst

ate,

isla

nd a

nd u

rban

par

k fe

rrie

s.b

Incl

udes

cab

le c

ar, i

nclin

ed p

lane

, aer

ial t

ram

way

, mon

orai

l, va

npoo

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d au

tom

ated

gui

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ay.

cB

egin

ning

in 1

992,

loca

l ope

rati

ng a

ssis

tanc

e an

d ot

her

reve

nue

decl

ined

by

abou

t $5

00 m

illio

n du

e to

cha

nge

in a

ccou

ntin

g pr

oced

ures

at

the

New

Yor

k C

ity

Tra

nsit

Aut

hori

ty. B

egin

ning

in 1

992,

tota

l ope

rati

ng e

xpen

se d

eclin

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y ab

out $

400

mill

ion

due

to a

cha

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in a

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at t

he N

ew Y

ork

Cit

y T

rans

it A

utho

rity

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Incl

uded

in o

ther

.e

The

tot

al f

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pres

ents

the

num

ber

of t

rans

it a

genc

ies.

It

is n

ot t

he s

um o

f al

l mod

es s

ince

man

y ag

enci

es o

pera

te m

ore

than

one

mod

e.f

Bas

ed o

n em

ploy

ee e

quiv

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f 2,

080

hour

s eq

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one

em

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egin

ning

in 1

993,

bas

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n nu

mbe

r of

act

ual e

mpl

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s.

gIn

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es c

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car

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lined

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eria

l tra

mw

ay, m

onor

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and

auto

mat

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uide

way

.h

Liq

uefi

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atur

al g

as, l

ique

fied

pet

role

um g

as, m

etha

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prop

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and

oth

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ondi

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fue

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tura

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.

SOU

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Unl

ess

othe

rwis

e no

ted,

ref

er t

o ch

apte

r ta

bles

for

sou

rces

.1

Am

eric

an P

ublic

Tra

nsit

Ass

ocia

tion

, 200

2 T

rans

port

atio

n Fa

ct B

ook

, (W

ashi

ngto

n, D

C: 2

002)

, 200

1 ed

itio

n, t

able

s 18

, 84,

and

sim

ilar

tabl

es in

ear

lier

year

s.2

Ibid

., 20

01 e

diti

on t

able

17

and

sim

ilar

tabl

es in

ear

lier

year

s.3

Ibid

., 20

01 e

diti

on t

able

s 25

, 84,

and

sim

ilar

tabl

es in

ear

lier

year

s.4

Ibid

., 20

01 e

diti

on t

able

23

and

sim

ilar

tabl

es in

ear

lier

year

s.5

Ibid

., 20

02 e

diti

on t

able

s 18

, 30,

and

84,

and

sim

ilar

tabl

es f

or p

rior

yea

rs.

6 Ib

id.,

2001

edi

tion

tab

le 2

0 an

d si

mila

r ta

bles

in e

arlie

r ye

ars.

7 Ib

id.,

2001

edi

tion

tab

le 1

and

sim

ilar

tabl

es in

ear

lier

year

s.8

Ibid

., 20

01 e

diti

on t

able

s 46

, 84,

and

sim

ilar

tabl

es in

ear

lier

year

s.9

Ibid

., 20

01 e

diti

on t

able

s 62

, 84,

and

sim

ilar

tabl

es in

ear

lier

year

s.10

Ibid

., 20

01 e

diti

on t

able

s 42

, 84,

and

sim

ilar

tabl

es in

ear

lier

year

s.11

Ibi

d., 2

001

edit

ion

tabl

es 2

6, 8

4, a

nd s

imila

r ta

bles

in e

arlie

r ye

ars.

12 Ib

id.,

2001

edi

tion

tab

les

30, 8

4, a

nd s

imila

r ta

bles

in e

arlie

r ye

ars.

13 Ib

id.,

2001

edi

tion

tab

le 3

9 an

d si

mila

r ta

bles

in e

arlie

r ye

ars.

14 Ib

id.,

2001

edi

tion

tab

le 4

4 an

d si

mila

r ta

bles

in e

arlie

r ye

ars.

15 I

bid.

, 200

1 ed

itio

n ta

ble

65 a

nd s

imila

r ta

bles

in e

arlie

r ye

ars.

16 Ib

id.,

2001

edi

tion

tab

le 6

6 an

d si

mila

r ta

bles

in e

arlie

r ye

ars.

17 I

bid.

, 200

1 ed

itio

n ta

ble

67 a

nd s

imila

r ta

bles

in e

arlie

r ye

ars.

18 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Tra

nsit

Adm

inis

trat

ion,

Saf

ety

Man

agem

ent

Info

rmat

ion

Stat

isti

cs (

SAM

IS),

(W

ashi

ngto

n, D

C: A

nnua

l rep

orts

).

Tran

sit P

rofil

e (C

ontin

ued)

Page 401: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

382 � Appendix A: Modal ProfilesRa

il Pr

ofile

Fin

anci

al19

60 1

970e

198

0 1

990

1994

1995

1996

1997

1998

1999

2000

Cla

ss Ia

Ope

ratin

g re

venu

es (

$ m

illio

ns)

Pas

seng

er1

640

421

446

9488

8959

6061

6162

Frei

ght

8,02

510

,922

26,3

5027

,471

29,9

3131

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31,8

8932

,322

32,2

4732

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33,0

83

Oth

er84

964

91,

462

805

790

835

745

736

843

780

957

Tota

l9,

514

11,9

9228

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28,3

7030

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32,2

7932

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33,1

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33,5

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Ope

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mill

ions

)b8,

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11,4

7826

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24,6

5225

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27,8

9726

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27,2

9127

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28,0

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Am

trak

Tota

l rev

enue

($

mill

ions

)N

162

429

9 1,

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1,41

39

1,49

09

1,55

09

1,66

99

2,24

49

2,01

19

2,11

1

Tota

l exp

ense

s ($

mill

ions

)N

301

1,10

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012

2,24

62,

257

2,25

82,

359

2,54

82,

660

9 2,

876

Inve

nto

ry

Cla

ss Ia

Num

ber

of v

ehic

les

Cla

ss I

frei

ght c

ars

1,65

8,29

21

1,42

3,92

11

1,16

8,11

41

658,

902

590,

930

1 58

3,48

61

570,

865

1 56

8,49

31

575,

604

1 57

9,14

01

560,

154

Oth

er n

oncl

ass

I fre

ight

car

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7,19

436

0,26

054

2,71

355

3,35

960

1,48

263

5,44

166

9,70

870

1,92

674

0,06

378

9,69

682

0,64

2

Frei

ght c

ars,

tota

l1,

965,

486

1,78

4,18

11,

710,

827

1,21

2,26

11,

192,

412

1,21

8,92

71,

240,

573

1,27

0,41

91,

315,

667

1,36

8,83

61,

380,

796

Loco

mot

ives

29,0

3127

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28,0

9418

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18,5

0518

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19,2

6919

,684

20,2

6120

,256

20,0

28

Num

ber

of c

ompa

nies

106

7138

1412

1110

99

98

Num

ber

of e

mpl

oyee

s78

0,49

456

6,28

245

8,99

421

6,42

418

9,96

218

8,21

518

1,80

917

7,98

117

8,22

217

7,55

716

8,36

0

Mile

s of

roa

d ow

ned

207,

334

196,

479

164,

822

119,

758

109,

332

108,

264

105,

779

102,

128

100,

570

99,4

3099

,250

Am

trak

Num

ber

of v

ehic

les

Pas

seng

er

Trai

n-ca

rsN

4 1,

569

4 2,

128

9 1,

863

1,85

29

1,72

29

1,73

09

1,72

89

1,96

29

1,99

29

1,89

4

Loco

mot

ives

N18

541

931

833

831

329

933

234

532

937

8

Num

ber

of e

mpl

oyee

sN

5 1,

500

5 21

,416

5 24

,000

25,0

4923

,646

4 23

,278

4 23

,555

1 24

,528

1 25

,291

1 25

,624

Sys

tem

rou

te m

ileag

eN

N8

24,0

008

24,0

0025

,000

24,0

009

25,0

009

25,0

009

22,0

009

23,0

009

23,0

00

Per

form

ance

Cla

ss Ia

Car

mile

age,

frei

ght (

thou

sand

s)1

28,1

70,0

0029

,890

,000

29,2

77,0

0026

,159

,000

28,4

85,0

0030

,383

,000

31,7

15,0

0031

,660

,000

32,6

57,0

0033

,851

,000

34,5

90,0

00

Trai

n m

ileag

e, fr

eigh

t (th

ousa

nds)

404,

464

427,

065

428,

498

379,

582

440,

896

458,

271

468,

792

474,

954

474,

947

490,

442

504,

001

Lo

com

oti

ve m

ileag

e (t

ho

usa

nd

s)

Fre

ight

242

1,90

01,

278,

200

1,31

9,01

01,

144,

559

1,26

1,48

21,

293,

851

1,31

1,35

11,

281,

768

1,28

5,70

61,

349,

580

1,35

4,59

0

Trai

n an

d ya

rd s

witc

hing

NN

212,

040

135,

806

143,

224

150,

840

153,

798

141,

461

153,

997

154,

367

148,

229

Tota

lN

N1,

531,

050

1,28

0,36

51,

404,

706

1,44

4,69

11,

465,

149

1,42

3,22

91,

439,

703

1,50

3,94

71,

502,

819

Page 402: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 383

Pef

orm

ance

(co

nti

nu

ed)

1960

197

0 1

980

199

019

9419

9519

9619

9719

9819

9920

00

Rev

enue

ton-

mile

s of

frei

ght (

mill

ions

)157

2,30

976

4,80

991

8,95

81,

033,

969

1,20

0,70

11,

305,

688

1,35

5,97

51,

348,

926

1,37

6,80

21,

433,

461

1,46

5,96

0

Ave

rage

leng

th o

f hau

l, fr

eigh

t (m

iles)

461

515

616

726

817

843

842

851

835

835

843

Fue

l con

sum

ed in

frei

ght s

ervi

ce (

mill

ion

gallo

ns)

3,46

33,

545

3,90

43,

115

3,33

43,

480

3,57

93,

575

3,58

33,

715

3,70

0

Ave

rag

e m

iles

trav

eled

per

veh

icle

Loco

mot

ive

NN

54,4

9767

,978

75,9

1076

,796

76,0

3772

,304

71,0

5874

,247

75,0

36

Car

14,3

3216

,753

17,1

1321

,579

23,8

8924

,926

25,5

6524

,921

24,8

2224

,730

25,0

51

Ave

rage

mile

s tr

avel

ed p

er g

allo

n

Trai

n0.

120.

120.

110.

120.

130.

130.

130.

130.

130.

130.

14

Car

8.13

8.43

7.50

8.40

8.54

8.73

8.86

8.86

9.11

9.11

9.35

Am

trak

Pas

seng

er tr

ain

car-

mile

s (m

illio

ns)

N6

213

6 23

56

301

304

10 2

9210

276

10 2

8810

312

10 3

42U

Pas

seng

er tr

ain-

mile

s (m

illio

ns)

N26

3033

3432

3032

3334

35

Pas

seng

er lo

com

otiv

e-m

iles

(mill

ions

)N

N41

4951

48U

UU

UU

Rev

enue

pas

seng

ers

carr

ied

(mill

ions

)N

1721

2221

2120

2021

2223

Rev

enue

pas

seng

er-m

iles

(mill

ions

)N

3,03

94,

503

9 6,

057

5,92

19

5,54

59

5,05

09

5,16

69

5,30

49

5,33

09

5,49

8

Ave

rage

pas

seng

er fa

re (

dolla

rs)

N7

8.3

17.7

38.5

38.2

39.0

42.5

44.3

44.0

45.7

U

Ave

rage

pas

seng

er re

venu

e / p

asse

nger

-mile

(cen

ts)

N4.

58.

214

.113

.714

.616

.617

.317

.518

.4U

Ave

rage

pas

seng

er tr

ip le

ngth

(m

iles)

N18

2.6

217.

027

3.0

271.

126

7.6

256.

925

5.8

251.

524

7.8

U

Lo

com

oti

ve f

uel

co

nsu

med

Die

sel (

mill

ion

gallo

ns)

NN

6482

7511

66

11 7

1.2

11 7

511

75

11 7

4U

Ele

ctri

c kW

h (m

illio

ns)

NN

254

330

309

304

293

282

275

283

U

Saf

etyc

,3

Nu

mb

er o

f fa

talit

ies,

rai

lro

ads

and

gra

de

cro

ssin

gs

Pas

seng

ers

on tr

ains

3410

43

50

126

414

4

Em

ploy

ees

on d

uty

215

179

9740

3134

3337

2731

24

Em

ploy

ees

not o

n du

tyN

N4

00

20

02

01

Tres

pass

ers

637

607

566

700

682

660

620

646

644

R57

057

0

Non

tres

pass

ers

1,45

91,

535

746

554

505

443

365

R36

2R

324

R30

433

2

Con

trac

tor

empl

oyee

sN

N7

33

79

115

123

Rai

lroad

and

gra

de c

ross

ing,

tota

l2,

345

2,33

11,

424

1,30

01,

226

1,14

61,

039

1,06

21,

006

931

934

Gra

de c

ross

ing

only

1,42

11,

440

772

698

615

579

488

461

431

402

425

Rai

lroad

onl

yd92

478

564

559

961

156

755

1R

602

577

530

509

KE

Y: k

Wh

= k

ilow

att-

hour

; N =

dat

a do

not

exi

st; R

= r

evis

ed; U

= d

ata

are

not a

vaila

ble.

aE

xclu

ding

Am

trak

and

all

non-

Cla

ss I

rai

lroa

ds, e

xcep

t fo

r Se

ctio

n IV

.b

Ope

rati

ng e

xpen

ses

incl

ude

equi

pmen

t, jo

int

faci

lity

rent

s, le

ased

roa

ds a

nd e

quip

men

t, a

nd a

ll ta

xes

exce

pt F

eder

al in

com

e.c

Safe

ty f

igur

es f

rom

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al R

ailr

oad

Adm

inis

trat

ion

are

for

all r

ailr

oads

.d

Figu

res

may

not

app

ear

dire

ctly

in d

ata

sour

ce.

eA

mtr

ak d

ata

in t

his

colu

mn

are

for

1972

, Am

trak

’s f

irst

ful

l yea

r of

ope

rati

on.

Con

tinue

d ne

xt p

age

Rail

Prof

ile (C

ontin

ued)

Page 403: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

384 � Appendix A: Modal ProfilesRa

il Pr

ofile

(Con

tinue

d)

NO

TE

Am

trak

fig

ures

are

bas

ed o

n A

mtr

ak f

isca

l yea

r (O

ctob

er 1

-Sep

tem

ber

30).

SOU

RC

ES

Unl

ess

othe

rwis

e no

ted,

ref

er t

o ch

apte

r ta

bles

for

sou

rces

.1

Ass

ocia

tion

of

Am

eric

an R

ailr

oads

(A

AR

), R

ailr

oad

Fact

s, A

nnua

l iss

ues,

pp.

3, 1

0, 1

2, 1

3, 1

4, 2

7, 3

3, 3

4, 3

6, 4

0, 4

4, 4

8, 5

0, a

nd 7

7.2

Ibid

., A

naly

sis

of C

lass

1 R

ailr

oads

, Ann

ual i

ssue

s.3

1960

-198

0: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Rai

lroa

d A

dmin

istr

atio

n, S

yste

ms

Supp

ort

Div

isio

n, R

RS-

22, p

erso

nal c

omm

unic

atio

n.19

90-1

994:

Ibi

d., A

ccid

ent

/ Inc

iden

t B

ulle

tin,

Ann

ual i

ssue

s, t

able

s 7

and

9.19

95-2

001:

Ibi

d., R

ailr

oad

Safe

ty S

tati

stic

s, A

nnua

l Rep

ort

2001

, tab

le 1

-3.

4 A

mtr

ak, N

atio

nal R

ailr

oad

Pas

seng

er C

orpo

rati

on A

nnua

l Rep

ort,

197

2, 1

980,

199

0, a

nd 1

993-

95.

5 Ib

id.,

Publ

ic A

ffai

rs, p

erso

nal c

omm

unic

atio

n.6

Am

trak

, Tra

in I

nfor

mat

ion

Syst

em R

epor

ts.

7 Ib

id.,

Tra

in E

arni

ngs

Rep

orts

.8

Ibid

., R

oute

Mile

s by

Rai

lroa

d, C

orp.

Pla

nnin

g &

Dev

elop

men

t.9

Am

trak

, Nat

iona

l Rai

lroa

d P

asse

nger

Cor

pora

tion

Ann

ual R

epor

t, S

tati

stic

al A

ppen

dix

to A

mtr

ak A

nnua

l Rep

ort,

Ann

ual i

ssue

s.10

Am

trak

Cor

pora

te R

epor

ting

, Rou

te P

rofi

tabi

lity

Syst

em, W

ashi

ngto

n D

C, p

erso

nal c

omm

unic

atio

n, A

ugus

t 20

01.

11 A

mtr

ak G

ener

al A

ccou

ntin

g, P

enns

ylva

nia,

per

sona

l com

mun

icat

ion,

Jun

e 19

99.

Page 404: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 385

Wat

er T

rans

port

Prof

ile

Fin

anci

al19

6019

7019

8019

9019

9519

9619

9719

9819

9920

00O

per

atin

g r

even

ues

($

mill

ion

s)

Dom

estic

frei

ght1

1,72

22,

070

7,21

97,

940

7,71

27,

283

6,94

06,

824

6,79

5U

Coa

stal

wat

erw

ays

747

834

3,15

53,

066

2,77

42,

571

2,16

91,

952

1,82

8U

Inla

nd w

ater

way

s46

162

12,

395

2,95

62,

964

2,86

12,

899

2,90

42,

811

UG

reat

Lak

es22

723

951

361

558

557

261

561

054

9U

Lock

s, c

hann

els

287

376

1,15

61,

303

1,38

91,

279

1,25

71,

358

1,60

7U

Inte

rnat

iona

l fre

ight

a1,

765

3,18

78,

279

12,1

8114

,997

17,2

8114

,091

15,6

7917

,699

U

Pas

seng

er, t

otal

281

287

310

1,39

11,

716

1,84

31,

974

2,02

92,

088

UD

omes

tic p

asse

nger

, int

erci

ty14

1227

100

129

140

141

146

152

U

Inte

rnat

iona

l pas

seng

erb

267

275

283

1,29

11,

587

1,70

31,

833

1,88

31,

936

U

Rev

enu

es o

f U

.S. c

om

mer

cial

fis

hin

g f

leet

-d

om

esti

c la

nd

ing

s ($

mill

ion

s)2

354

613

2,23

73,

522

3,77

03,

487

3,44

83,

128

3,46

73,

549

Inve

nto

ry

Nu

mb

er o

f d

om

esti

c in

lan

d v

esse

l op

erat

ors

c,3

228

380

403

565

557

554

UU

UU

Nu

mb

er o

f em

plo

yees

Shi

ps, b

oat b

uild

ing,

and

rep

airi

ng8

141,

200

8 17

1,80

08

220,

500

11 1

87,7

0012

159

,600

12 1

58,8

0012

158

,300

12 1

66,6

0012

167

,400

167,

900

Wat

er tr

ansp

orta

tiond

N21

2,30

021

1,20

017

6,60

017

4,50

017

4,10

017

8,70

018

1,30

018

5,50

019

3,90

0

Nu

mb

er o

f em

plo

yees

e,f

Pas

seng

er /

com

bo4

8,56

02,

178

618

642

642

321

321

321

321

U

Car

go28

,668

22,2

579,

878

7,01

95,

400

4,96

44,

831

4,92

44,

757

UTa

nker

s12

,053

10,5

678,

722

4,47

14,

261

3,96

53,

785

3,71

13,

958

UTo

tal

49,2

8135

,000

19,2

1812

,132

10,3

039,

250

8,93

78,

956

9,03

6U

Mile

age

of

com

mer

cial

ly n

avig

able

ch

ann

els1

25,0

0026

,000

26,0

0026

,000

26,0

0026

,000

26,0

0026

,000

26,0

00U

Nu

mb

er o

f ve

ssel

sTo

tal n

on

self

-pro

pel

led

9 16

,777

9 19

,377

9 31

,662

9 31

,017

9 31

,360

9 32

,811

9 33

,011

9 33

,509

14 3

3,38

714

33,

152

Dry

car

go b

arge

s an

d sc

ows

14,0

2515

,890

27,4

2627

,091

27,3

4228

,743

29,0

0629

,526

29,3

8329

,107

Tank

ers

2,42

93,

281

4,16

63,

913

3,98

54,

036

3,97

13,

952

3,97

34,

011

Rai

lroad

car

floa

ts32

320

670

1333

3234

3131

34To

tal s

elf-

pro

pel

led

6,51

96,

457

7,12

68,

236

8,28

18,

293

8,40

88,

523

8,37

98,

202

Dry

car

go /

pass

enge

r1,

796

1,76

12,

036

2,67

82,

804

2,78

22,

905

2,93

82,

910

2,78

0F

erri

es, r

ailro

ad c

ar31

1767

135

172

173

183

213

229

292

Tank

ers

489

421

330

213

178

161

147

135

142

135

Tow

boat

s / t

ugs

4,20

34,

248

4,69

35,

210

5,12

75,

177

5,17

35,

237

5,09

84,

995

U.S

. mer

chan

t m

arin

e sh

ips

(ove

r 1,

000

gro

ss t

on

s)

Tota

l U. S

. fla

g5

2,92

61,

579

864

636

509

495

477

470

463

454

Pas

seng

er /

carg

o30

917

165

1013

1514

1211

11Fr

eigh

ters

2,13

81,

076

471

367

295

292

288

289

284

286

Bul

k ca

rrie

rs57

3820

2620

1514

1514

15Ta

nker

s42

229

430

823

318

117

316

115

415

414

2

Con

tinue

d ne

xt p

age

Page 405: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

386 � Appendix A: Modal Profiles

Inve

nto

ry (

con

tin

ued

)19

6019

7019

8019

9019

9519

9619

9719

9819

9920

00P

riva

tely

ow

ned

1,00

8U

578

408

319

302

285

281

277

UG

over

nmen

t ow

ned

1,91

8U

286

228

190

193

192

189

186

U

Nu

mb

er o

f re

crea

tio

nal

bo

ats

(th

ou

san

ds)

g,6

2,50

07,

400

8,90

510

,996

11,7

3511

,878

12,3

1312

,566

12,7

3812

,782

Per

form

ance

Ton-

mile

s (t

hous

ands

)h

Dom

estic

wat

er fr

eigh

t

Coa

stw

ise7

N35

9,78

4,00

063

1,14

9,20

047

9,13

3,60

044

0,34

5,10

040

8,08

6,10

034

9,84

3,00

031

4,86

3,90

029

2,73

0,00

028

3,87

1,60

0

Inte

rnal

N15

5,81

6,00

022

7,34

3,00

029

2,39

3,30

030

6,32

9,10

029

6,79

0,60

029

4,02

3,00

029

4,89

6,40

030

4,72

4,10

030

2,55

8,40

0La

kew

ise

N79

,416

,000

61,7

47,1

0060

,929

,900

59,7

03,8

0058

,335

,300

62,1

65,9

0061

,654

,300

57,0

45,2

0057

,879

,100

Intr

apor

tN

1,17

9,00

01,

596,

400

1,08

7,00

01,

349,

600

1,47

4,50

01,

378,

100

1,38

0,70

01,

362,

200

1,49

0,20

0To

tal

N59

6,19

5,00

092

1,83

5,80

0R

833,

543,

800

807,

727,

700

764,

686,

500

707,

409,

900

672,

795,

300

655,

861,

500

645,

799,

300

Ton

s o

f fr

eig

ht

hau

led

(th

ou

san

ds)

Dom

estic

Coa

stw

ise

209,

197

238,

440

329,

609

298,

637

266,

612

267,

389

263,

146

249,

633

228,

802

226,

938

Inte

rnal

291,

057

472,

123

534,

979

622,

595

620,

324

622,

081

630,

558

625,

028

624,

575

628,

445

Lake

wis

e15

5,10

915

7,05

911

5,12

411

0,15

911

6,12

711

4,87

012

2,73

412

2,15

611

3,88

711

4,35

2In

trap

ort

104,

193

81,4

7594

,184

86,3

7883

,104

89,0

1189

,816

90,0

7788

,650

94,5

58In

trat

erri

tory

1,01

71,

630

3,58

84,

529

6,86

87,

327

6,27

37,

217

5,87

35,

505

Tota

l76

0,57

395

0,72

71,

077,

483

1,12

2,29

91,

093,

035

1,10

0,67

91,

112,

527

1,09

4,11

21,

061,

787

1,06

9,79

8E

xpor

tsG

reat

Lak

es p

orts

23,1

5035

,932

45,0

7732

,898

32,9

6831

,855

33,2

0936

,876

40,2

3340

,131

Coa

stal

por

ts10

4,81

020

5,69

835

8,80

640

8,68

844

1,73

241

8,94

039

9,10

436

7,83

135

9,76

337

4,91

1To

tal

127,

961

241,

629

403,

883

441,

586

474,

700

450,

794

432,

313

404,

708

399,

996

415,

042

Impo

rts

Gre

at L

akes

por

ts12

,851

26,4

0615

,515

17,5

5818

,897

24,5

0324

,532

25,5

5822

,196

23,9

18C

oast

al p

orts

198,

466

312,

934

502,

006

582,

412

653,

760

708,

090

763,

771

815,

122

838,

579

952,

866

Tota

l21

1,31

633

9,34

051

7,52

159

9,97

067

2,65

773

2,59

278

8,30

384

0,68

086

0,77

597

6,78

4

Ave

rag

e h

aul,

do

mes

tic

syst

em (

mile

s)h

Coa

stw

ise

1,49

61,

509

1,91

51,

604

1,65

21,

526

1,33

01,

261

1,27

91,

251

Inte

rnal

282

330

405

470

494

477

466

472

488

481

Lake

wis

e52

250

653

655

351

450

850

750

550

150

6C

arg

o c

apac

ity

(sh

ort

to

ns)

Tota

l non

self-

prop

elle

d ve

ssel

s9 1

6,35

5,65

79 2

4,02

6,02

49 4

4,87

5,11

69

48,9

46,7

859

51,1

40,5

309

54,0

86,9

739 5

4,97

4,96

19 5

5,99

9,95

214

56,5

66,1

4056

,581

,364

Dry

car

go b

arge

s 12

,147

,006

17,6

95,2

7534

,486

,851

38,1

89,4

9039

,971

,443

42,7

48,6

4443

,710

,093

44,7

18,6

9145

,049

,209

44,8

14,6

96Ta

nker

s4,

208,

651

6,33

0,74

910

,388

,265

10,7

57,2

9511

,169

,087

11,3

38,3

2911

,264

,868

11,2

81,2

6111

,418

,856

11,6

78,5

93To

tal s

elf-

prop

elle

d ve

ssel

s15

,905

,881

19,2

84,0

5023

,906

,346

19,7

23,7

8815

,783

,399

14,8

50,2

5314

,161

,739

12,9

70,1

6713

,892

,574

13,4

58,5

19D

ry c

argo

/ pa

ssen

ger

12,1

88,9

5610

,815

,977

8,01

1,58

77,

042,

263

6,48

4,70

76,

208,

011

6,68

5,71

96,

371,

425

6,92

8,68

46,

740,

153

Tank

ers

3,71

6,92

58,

468,

073

15,8

94,7

5312

,681

,525

9,29

8,69

28,

642,

242

7,47

6,02

06,

598,

742

6,96

3,89

06,

718,

366

Wat

er T

rans

port

Prof

ile (C

ontin

ued)

Page 406: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 387

Per

form

ance

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

Fu

el c

on

sum

pti

on

(th

ou

san

d b

arre

ls)

Die

sel f

uel a

nd d

istil

late

118

,730

19,5

0335

,201

52,3

1047

,098

51,8

4850

,180

50,6

0949

,157

U

Res

idua

l fue

l oil

94,0

8489

,850

213,

131

148,

764

153,

125

138,

214

114,

044

110,

480

133,

301

UG

asol

ine

9,20

014

,238

25,0

4830

,962

25,2

4723

,659

23,5

0522

,767

26,1

46U

Tota

l12

2,01

412

3,59

127

3,38

023

2,03

622

5,47

021

3,72

118

7,72

918

3,85

620

8,60

4U

Saf

ety

Fat

alit

ies

in w

ater

bo

rne

tran

spo

rt (

vess

el c

asu

alti

es o

nly

)i

Frei

ght s

hip

N10

30

10 8

10 0

13 0

13 1

13 2

13 2

13 0

U

Tank

shi

pN

44

50

00

10

UP

asse

nger

ves

sel

N1

53

48

13

14U

Tug

/ tow

boat

N22

1413

11

30

6U

Offs

hore

sup

ply

NN

N2

22

06

0U

Fis

hing

ves

sel

N77

6047

2337

2233

25U

Rec

reat

iona

l ves

sel

NN

N3

223

77

9U

MO

DU

jN

NN

00

04

00

U

Pla

tform

NN

N1

UU

UU

UU

Frei

ght b

arge

NN

N0

00

21

0U

Tank

bar

geN

NN

00

00

01

UM

isce

llane

ous

N44

5611

03

714

3U

Tota

liN

178

206

8552

5548

6758

U

Inju

ries

in w

ater

bo

rne

tran

spo

rt

Frei

ght s

hip

N14

810

17

33

2U

Tank

shi

pN

199

138

15

61

UP

asse

nger

ves

sel

N10

1051

4714

236

3976

UTu

g / t

owbo

atN

1027

1919

1621

1215

UO

ffsho

re s

uppl

yN

NN

910

73

51

UF

ishi

ng v

esse

lN

1328

3141

3625

3525

UR

ecre

atio

nal v

esse

lN

NN

220

96

912

U

MO

DU

jN

NN

130

03

02

U

Pla

tform

NN

N9

UU

UU

UU

Frei

ght b

arge

NN

N3

00

51

1U

Tank

bar

geN

NN

35

20

01

UM

isce

llane

ous

NN

9812

19

1220

9U

Tota

liN

105

180

175

152

229

119

130

145

U

Fat

alit

ies

in r

ecre

atio

nal

bo

atin

g (

vess

el c

asu

alti

es o

nly

)

Air

thru

st6

NN

NN

41

611

24

Pro

pelle

rN

NN

N47

536

343

646

242

143

9In

boar

dN

6 11

96

100

6 50

NN

NN

5048

Out

boar

dN

774

609

454

NN

NN

326

328

Inbo

ard

/ out

boar

dN

2847

53N

NN

N35

49Je

tN

N10

2568

6183

8275

70

Con

tinue

d ne

xt p

age

Wat

er T

rans

port

Prof

ile (C

ontin

ued)

Page 407: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

388 � Appendix A: Modal Profiles

Saf

ety

(co

nti

nu

ed)

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

Sai

lN

4443

204

815

57

14M

anua

l (oa

rs, p

addl

e)N

205

272

182

148

109

150

151

114

137

Oth

erN

2914

58

810

0N

NP

ropu

lsio

n un

know

nN

219

265

7612

215

912

110

411

537

Tota

l6

739

1,41

81,

360

865

829

709

821

815

734

701

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aT

he in

tern

atio

nal w

ater

fre

ight

ope

rati

ng r

even

ues

data

was

rev

ised

in T

rans

port

atio

n in

Am

eric

a 19

98 f

or a

ll ye

ars

exce

pt 1

994

and

1996

. The

refo

re, t

he

inte

rnat

iona

l wat

er f

reig

ht d

ata

for

year

s 19

94 a

nd 1

996

may

not

be

com

para

ble

to o

ther

yea

rs.

bR

even

ues

paid

by

Am

eric

an t

rave

lers

to

U.S

. and

for

eign

fla

g ca

rrie

rs.

cD

oes

not

incl

ude

vess

el o

pera

tors

who

se p

rim

ary

area

of

oper

atio

n is

fis

hing

, tow

ing,

pas

seng

er t

rans

port

, fer

ryin

g, o

r cr

ew b

oat

utili

ty s

ervi

ce.

dIn

clud

es c

omm

erci

al p

ort,

mar

ina,

and

oth

er e

mpl

oyee

s; e

xclu

des

empl

oyee

s of

not

-for

-hir

e pr

ivat

e bu

sine

sses

.e

Est

imat

e ba

sed

on e

stab

lishe

d ac

tive

jobs

for

lice

nsed

and

unl

icen

sed

pers

onne

l abo

ard

ocea

ngoi

ng s

hips

of

1,00

0 gr

oss-

tons

and

ove

r, pr

ivat

ely

owne

d an

d op

erat

ed, g

over

nmen

t-ow

ned

ship

s un

der

bare

boa

t ch

arte

rs, s

hip

man

ager

s an

d G

ener

al A

genc

y A

gree

men

t, s

uppl

emen

ted

by M

ilita

ry S

ealif

t C

omm

and

empl

oym

ent

tota

ls f

or s

hips

wit

h C

ivil

Serv

ice

crew

s.f

Dat

a is

cur

rent

as

of J

anua

ry 1

of

the

follo

win

g ye

ar w

ith

the

exce

ptio

n of

199

9 da

ta, w

hich

is c

urre

nt a

s of

Apr

. 1, 1

999.

Due

to

a ch

ange

in t

he s

ourc

e’s

peri

-od

icit

y, t

he d

ata

for

1999

is n

ot c

ompa

rabl

e to

the

dat

a fr

om y

ears

pri

or t

o 19

99.

gT

he U

.S. C

oast

Gua

rd c

hang

ed it

s m

etho

dolo

gy f

or c

ount

ing

the

num

ber

of r

ecre

atio

nal b

oats

. Fig

ures

cit

ed r

epre

sent

num

ber

of n

umbe

red

boat

s, n

ot e

sti-

mat

es a

s pr

evio

usly

not

ed f

or 1

960

and

1970

.h

Doe

s no

t in

clud

e in

trat

erri

tori

al t

raff

ic (

traf

fic

betw

een

port

s in

Pue

rto

Ric

o an

d th

e V

irgi

n Is

land

s, w

hich

are

con

side

red

a si

ngle

uni

t).

i19

92-2

000

data

com

e fr

om t

he M

arin

e Sa

fety

Man

agem

ent

Info

rmat

ion

Syst

em. D

ata

for

prio

r ye

ars

may

not

be

dire

ctly

com

para

ble.

jM

obile

Off

shor

e D

rilli

ng U

nits

.

SOU

RC

ES

Unl

ess

othe

rwis

e no

ted,

ref

er t

o ch

apte

r ta

bles

for

sou

rces

.1

Eno

Tra

nspo

rtat

ion

Foun

dati

on I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

001)

, pp.

7, 1

0-11

, 27,

and

44.

2 U

.S. D

epar

tmen

t of

Com

mer

ce, N

atio

nal M

arin

e Fi

sher

ies

Serv

ices

, Fis

heri

es o

f th

e U

nite

d St

ates

(W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, p. 4

and

sim

ilar

tabl

es in

ea

rlie

r ed

itio

ns.

3 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Mar

itim

e A

dmin

istr

atio

n, M

AR

-450

, per

sona

l com

mun

icat

ion.

4 Ib

id.,

U.S

. Mer

chan

t M

arin

e D

ata

Shee

t (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.5

Ibid

., M

erch

ant

Flee

ts o

f th

e W

orld

(W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

.6

U.S

. Coa

st G

uard

, Boa

ting

Sta

tist

ics

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

7 U

.S. A

rmy

Cor

ps o

f E

ngin

eers

, Wat

erbo

rne

Com

mer

ce o

f th

e U

nite

d St

ates

(N

ew O

rlea

ns, L

A: A

nnua

l iss

ues)

, par

t 5,

sec

tion

1, t

able

s 2,

3, a

nd 4

.8

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Em

ploy

men

t, H

ours

and

Ear

ning

s, U

nite

d St

ates

, 190

9-19

94 (

Was

hing

ton,

DC

: Sep

tem

ber

1994

), S

ICs

373

and

44.

9 U

.S. A

rmy

Cor

ps o

f E

ngin

eers

, Sum

mar

y of

U.S

. Fla

g P

asse

nger

& C

argo

Ves

sels

(N

ew O

rlea

ns, L

A: A

nnua

l iss

ues)

.10

U.S

. Coa

st G

uard

, Off

ice

of I

nves

tiga

tion

s an

d A

naly

sis,

G-M

AO

-2, p

erso

nal c

omm

unic

atio

n.11

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Em

ploy

men

t, H

ours

and

Ear

ning

s, 1

988-

1996

(W

ashi

ngto

n, D

C: A

ugus

t 19

96),

SIC

s 37

3 an

d 44

.12

Ibi

d., I

nter

net

web

site

ww

w.b

ls.g

ov a

s of

Sep

t. 1

6, 2

002.

13 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

U.S

. Coa

st G

uard

, Dat

a A

dmin

istr

atio

n D

ivis

ion

(G-M

RI-

1), p

erso

nal c

omm

unic

atio

n, F

eb. 1

3, 2

002.

14 U

.S. A

rmy

Cor

ps o

f E

ngin

eers

, Wat

erbo

rne

Tra

nspo

rtat

ion

Lin

es o

f th

e U

nite

d St

ates

(N

ew O

rlea

ns, L

A: A

nnua

l iss

ues)

par

t 1,

sec

tion

1, t

able

1.

Wat

er T

rans

port

Prof

ile (C

ontin

ued)

Page 408: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 389

Oil P

ipel

ine

Prof

ile

Fin

anci

al19

6019

7019

8019

9019

9519

9619

9719

9819

99O

per

atin

g r

even

ues

($

mill

ion

s)F

ER

C-r

egul

ated

4 77

04

1,18

84 6,

340

4 7,

164

7,75

17,

310

4 7,

278

4 7,

212

4 7,

645

Non

regu

late

d12

520

81,

208

1,34

21,

326

1,32

71,

354

1,36

71,

422

Tota

l89

51,

396

7,54

88,

506

9,07

78,

637

8,63

28,

579

9,06

7

Inve

nto

ryN

umbe

r of

FE

RC

-reg

ulat

ed c

ompa

nies

5 87

5 10

15

130

5 15

05 16

15

160

UU

1218

4

Num

ber

of e

mpl

oyee

s, p

ipel

ine

com

pani

esa

6 23

,100

6 17,

600

6 21

,300

1018

,500

1115

,100

1114

,500

1114

,200

1113

,800

1313

,060

Mile

s of

pip

elin

e (s

tatu

te m

iles)

b

Cru

de li

nes1

141,

085

146,

275

129,

831

118,

805

97,0

2992

,610

91,5

2387

,663

86,3

69

Pro

duct

line

s49

,859

72,3

9688

,562

89,9

4784

,883

84,9

2588

,350

90,9

8591

,094

All

lines

190,

944

218,

671

218,

393

208,

752

181,

912

177,

535

179,

873

178,

648

177,

463

Per

form

ance

Inte

rcity

ton-

mile

s (m

illio

ns)

Cru

de o

il2N

N36

2,60

033

4,80

033

5,90

033

8,30

033

7,40

033

4,10

033

6,20

0

Pet

role

um p

rodu

cts

NN

225,

600

249,

300

265,

200

280,

900

279,

100

285,

700

286,

800

Tota

l7 22

9,00

07

431,

000

588,

200

584,

100

601,

100

619,

200

616,

500

619,

800

623,

000

Tons

tran

spor

ted

(mill

ions

)2

468.

02

790.

292

1.0

1,05

7.4

1,08

0.6

1,11

4.1

1,10

8.0

1,11

6.3

1,12

5.2

Ave

rag

e le

ng

th o

f h

aul (

stat

ute

mile

s)C

rude

oil

8 32

58 30

09

871

9 81

29 79

79

779

9 78

19 76

79 76

6

Pet

role

um p

rodu

cts

269

357

414

387

402

413

413

420

418

Saf

ety

Fata

litie

s3N

44

33

50

24

Inju

red

pers

ons

N21

157

1113

56

20In

cide

nts

N35

124

618

018

819

417

115

316

8

KE

Y: F

ER

C =

Fed

eral

Ene

rgy

Reg

ulat

ory

Com

mis

sion

; N =

dat

a do

not

exi

st; U

= d

ata

are

not a

vaila

ble.

aIn

clud

es c

ompa

nies

who

se p

ipel

ines

car

ry c

rude

pet

role

um, p

etro

leum

pro

duct

s, a

nd n

onpe

trol

eum

pip

elin

e liq

uids

.b

Reg

ulat

ed p

lus

unre

gula

ted

mile

age

of c

rude

oil

trun

k an

d ga

ther

ing

lines

, plu

s re

fine

d oi

l tru

nk li

nes.

Con

tinue

d ne

xt p

age

Page 409: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

390 � Appendix A: Modal ProfilesOi

l Pip

elin

e Pr

ofile

(Con

tinue

d)

NO

TE

The

Int

erst

ate

Com

mer

ce C

omm

itte

e re

gula

ted

oil p

ipel

ines

in t

he 1

960s

and

197

0s.

SOU

RC

ES

Unl

ess

othe

rwis

e no

ted,

ref

er t

o ch

apte

r ta

bles

for

sou

rces

.1

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

In A

mer

ica

2000

, wit

h hi

stor

ical

com

pend

ium

193

9-19

99 (

Was

hing

ton,

DC

: 200

0), p

. 44.

2 Ib

id.,

pp. 2

8 an

d 29

.3

U.S

. Dep

artm

ent

of T

rans

port

atio

n, R

esea

rch

and

Spec

ial P

rogr

ams

Adm

inis

trat

ion,

Off

ice

of P

ipel

ine

Safe

ty, a

vaila

ble

at I

nter

net

site

htt

p://o

ps.d

ot.g

ov/s

tats

/lq

_sum

.htm

as

of M

ay 3

1, 2

002.

4 E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n In

Am

eric

a 20

00, w

ith

hist

oric

al c

ompe

ndiu

m 1

939-

1999

(W

ashi

ngto

n, D

C: 2

000)

, pp.

4-7

. 5

Fede

ral E

nerg

y R

egul

ator

y C

omm

issi

on, p

erso

nal c

omm

unic

atio

n.6

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Em

ploy

men

t, H

ours

and

Ear

ning

s, U

nite

d St

ates

, 190

9-94

(W

ashi

ngto

n, D

C: S

epte

mbe

r 19

94),

SIC

46.

7 E

no T

rans

port

atio

n Fo

unda

tion

, Inc

., T

rans

port

atio

n in

Am

eric

a, 1

998

(Was

hing

ton,

DC

: 199

8), p

. 44

and

Tra

nspo

rtat

ion

in A

mer

ica,

Sup

plem

ent,

199

9 (W

ashi

ngto

n, D

C: 1

999)

.8

Ibid

., p.

71.

9 Ib

id.,T

rans

port

atio

n In

Am

eric

a 20

00, w

ith

hist

oric

al c

ompe

ndiu

m 1

939-

1999

(W

ashi

ngto

n, D

C: 2

000)

, p. 5

1.10

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Em

ploy

men

t, H

ours

and

Ear

ning

s, U

nite

d St

ates

, 198

8-19

96 (

Was

hing

ton,

DC

: Jul

y 19

96),

SIC

46.

11 I

bid.

, Int

erne

t si

te w

ww

.bls

.gov

as

of A

pr. 1

9, 1

999.

12 F

eder

al E

nerg

y R

egul

ator

y C

omm

issi

on, I

nter

net

site

ww

w.f

erc.

fed.

us/o

il/oi

l_lis

t.ht

m a

s of

Jun

e 21

, 200

1.13

U.S

. Dep

artm

ent

of L

abor

, Bur

eau

of L

abor

Sta

tist

ics,

Int

erne

t si

te h

ttp:

//ww

w.b

ls.g

ov/o

es/1

999/

oes

i2_4

6.ht

m a

s of

Jul

y 3,

200

1.

Page 410: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix A: Modal Profiles � 391

Natu

ral G

as P

ipel

ine

Prof

ile

Fin

anci

al (

$ m

illio

ns)

1960

1970

1980

1990

1995

1996

1997

1998

1999

2000

Tran

smis

sio

n p

ipel

ine

com

pan

ies

Tota

l ope

ratin

g re

venu

esa

2 3,1

902 5

,928

7 41,

604

7 21,

756

7 12,

092

7 12,

050

7 10,

339

7 9,4

50R

,79,

555

7 11,

140

Tota

l ope

ratin

g ex

pens

esa

2,69

85,

088

39,7

0919

,484

9,53

49,

603

7,86

26,

875

R6,

897

8,41

2

Ope

ratio

n an

d m

aint

enan

ce2,

095

4,20

336

,480

17,0

586,

680

6,80

25,

381

4,26

0R

4,14

85,

538

Ope

ratio

n ex

pens

es2,

031

4,09

436

,075

16,4

296,

121

6,31

44,

975

3,90

9R

3,82

35,

226

Mai

nten

ance

exp

ense

s64

109

405

629

558

488

406

351

R32

531

2

Taxe

s (f

eder

al, s

tate

, loc

al)b

319

376

1,99

11,

245

1,58

21,

643

1,53

11,

560

R1,

645

1,68

1

Fed

eral

taxe

s22

320

21,

327

768

1,04

81,

085

1,07

61,

035

R1,

109

1,10

2

Sta

te a

nd lo

cal t

axes

9617

466

447

753

455

845

552

5R

536

579

Dis

trib

uti

on

pip

elin

e co

mp

anie

sTo

tal o

pera

ting

reve

nues

aN

N2 1

4,01

310

18,7

5010

19,4

2110

30,4

0710

30,8

6410

28,1

82R

,10 2

8,13

510

34,7

61

Tota

l ope

ratin

g ex

pens

esa

NN

13,2

6317

,125

17,4

0227

,917

27,4

4525

,668

R24

,564

32,1

63

Ope

ratio

n an

d m

aint

enan

ceN

N11

,791

14,5

4414

,170

23,3

0123

,155

21,3

96R

20,2

2627

,144

Ope

ratio

n ex

pens

esN

N11

,539

14,0

2013

,575

22,4

3322

,388

20,7

10R

18,2

7026

,321

Mai

nten

ance

exp

ense

sN

N25

252

459

686

876

768

7R

1,95

682

3

Taxe

s (f

eder

al, s

tate

, loc

al)b

NN

1,13

61,

625

1,88

82,

668

2,41

52,

524

R2,

355

2,92

1

Fed

eral

taxe

sN

N35

158

172

01,

041

849

1,25

0R

883

1,03

5

Sta

te a

nd lo

cal t

axes

NN

785

1,04

51,

168

1,62

71,

566

1,27

4R

1,47

21,

886

Inve

sto

r-o

wn

ed, t

ota

l in

du

stry

c

Tota

l ope

ratin

g re

venu

esN

N8 8

5,91

88 6

6,02

7R

,858

,435

8 63,

600

1462

,660

1657

,548

R,1

6 59,

142

1672

,712

Tota

l ope

ratin

g ex

pens

esa

NN

81,7

8960

,137

R50

,594

56,6

9555

,422

51,0

75R

51,3

3165

,424

Ope

ratio

n an

d m

aint

enan

ceN

N74

,508

51,6

2840

,041

45,7

8544

,851

41,3

60R

41,4

1554

,910

Ope

ratio

n ex

pens

esN

N73

,288

49,7

1837

,998

43,7

4243

,258

39,9

71R

38,7

5253

,398

Mai

nten

ance

exp

ense

sN

N1,

220

1,91

02,

043

2,04

31,

593

1,39

0R

2,66

41,

512

Taxe

s (f

eder

al, s

tate

, loc

al)b

NN

4,84

74,

957

R5,

981

6,36

26,

384

5,29

3R

5,60

56,

213

Fed

eral

taxe

sN

N2,

327

2,03

8R

2,51

12,

932

3,06

62,

631

R2,

626

2,76

1

Sta

te a

nd lo

cal t

axes

NN

2,52

02,

919

R3,

470

3,43

03,

318

2,66

2R

2,97

93,

452

Inve

nto

ryP

ipel

ine

mile

age

Tran

smis

sion

3 183

,700

3 252

,200

9 266

,500

9 280

,100

R,9

263,

900

9 259

,300

9 251

,100

9 255

,800

R,9

254,

000

9 250

,600

Dis

trib

utio

n39

1,40

059

4,80

070

1,80

083

7,30

093

6,80

095

9,50

095

7,10

099

9,00

0R

1,09

4,50

01,

110,

000

Fie

ld a

nd g

athe

ring

55,8

0066

,300

83,5

0089

,500

60,4

0057

,500

43,0

0040

,200

R40

,400

39,8

00

Tota

l63

0,95

091

3,26

71,

051,

774

1,20

6,89

41,

262,

152

1,27

6,31

51,

251,

199

1,29

4,96

2R

1,38

8,94

21,

400,

386

Nu

mb

er o

f em

plo

yees

Gas

util

ity in

dust

ry to

tals

d4 2

06,4

004 2

11,7

004 2

15,4

0011

204,

200

1117

9,00

011

179,

000

1115

4,60

011

154,

200

R,1

1 143

,600

1113

5,60

0

Inve

stor

-ow

ned

com

pani

esd

NN

202,

700

192,

100

168,

900

163,

400

145,

400

142,

400

R13

3,10

012

5,10

0

Tran

smis

sion

pip

elin

e co

mpa

nies

31,4

0032

,400

45,2

0037

,400

28,0

0032

,300

27,5

0028

,400

R29

,400

26,4

00

Dis

trib

utio

n pi

pelin

e co

mpa

nies

NN

52,1

0064

,700

61,6

0079

,700

75,0

0071

,300

R71

,400

69,5

00

Con

tinue

d ne

xt p

age

Page 411: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

392 � Appendix A: Modal Profiles

Inve

nto

ry (

con

tin

ued

)19

6019

7019

8019

9019

9519

9619

9719

9819

9920

00In

tegr

ated

pip

elin

e co

mpa

nies

NN

53,2

0039

,900

36,4

0012

,700

12,3

0012

,000

R6,

200

6,00

0

Com

bina

tion

pipe

line

com

pani

esN

N52

,200

50,1

00R

42,9

0038

,700

30,6

0030

,700

R26

,100

23,2

00

Num

ber

of in

ters

tate

nat

ural

gas

pipe

line

com

pani

es5 8

75 8

95 9

15 1

3212

133

1213

815

8615

8617

184

U

Per

form

ance

(m

illio

n c

ub

ic f

t.)

Mar

kete

d p

rod

uct

ion

, to

tal

6 12,

771,

038

6 21,

920,

642

6 20,

179,

724

6 18,

593,

792

6 19,

506,

474

1319

,812

,241

1319

,866

,093

1319

,961

,348

1319

,804

,848

1320

,002

,287

Del

iver

ed t

o c

on

sum

ers,

to

tal

10,3

82,6

8119

,018

,462

18,2

16,2

3316

,818

,882

19,6

60,1

6120

,005

,508

20,0

04,0

1219

,469

,047

19,8

95,3

0820

,772

,291

Co

nsu

med

, to

tal

11,9

66,5

3721

,139

,386

19,8

77,2

9318

,715

,090

21,5

80,6

6521

,966

,616

21,9

58,6

6021

,277

,205

21,6

19,6

1622

,546

,944

Gas

use

d a

s a

pip

elin

e fu

el, t

ota

l34

7,07

572

2,16

663

4,62

265

9,81

670

0,33

571

1,44

675

1,47

063

5,47

764

5,31

964

4,44

4S

afet

y

Fata

litie

s1N

2615

618

4810

18R

2137

Inju

red

per

son

sN

233

177

6953

114

7276

9377

Inci

den

tsN

1,07

71,

524

198

161

187

175

236

173

234

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aD

oes

not

add

due

to o

mis

sion

of

line

from

sou

rce

tabl

e fo

r de

prec

iati

on a

nd o

ther

non

cash

exp

ense

s.b

Figu

res

obta

ined

by

addi

tion

/ su

btra

ctio

n an

d m

ay n

ot a

ppea

r di

rect

ly in

dat

a so

urce

.c

Indu

stry

tot

al in

clud

es in

tegr

ated

and

com

bina

tion

com

pany

tot

als

in a

ddit

ion

to d

istr

ibut

ion

and

tran

smis

sion

com

pany

tot

als.

dN

umbe

r of

em

ploy

ees

in in

vest

or-o

wne

d co

mpa

nies

is t

he s

um o

f em

ploy

ees

in d

istr

ibut

ion,

tra

nsm

issi

on, i

nteg

rate

d an

d co

mbi

nati

on c

ompa

nies

.

NO

TE

SN

umbe

rs m

ay n

ot a

dd t

o to

tals

due

to

roun

ding

.G

as u

tilit

y in

dust

ry t

otal

s in

clud

e em

ploy

ees

in p

riva

tely

ow

ned

com

pani

es.

SOU

RC

ES

1 U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Res

earc

h an

d Sp

ecia

l Pro

gram

s A

dmin

istr

atio

n, O

ffic

e of

Pip

elin

e Sa

fety

, DPS

-35,

Int

erne

t si

te h

ttp:

//ops

.dot

.gov

/sta

ts.h

tm a

s of

Sep

t. 9

, 200

2.

2 A

mer

ican

Gas

Ass

ocia

tion

, Gas

Fac

ts, 1

979

(Arl

ingt

on, V

A),

tab

le 1

34.

3 Ib

id.,

tabl

e 44

.4

Ibid

., ta

ble

153.

5

U.S

. Dep

artm

ent

of E

nerg

y, E

nerg

y In

form

atio

n A

dmin

istr

atio

n, S

tati

stic

s of

Int

erst

ate

Nat

ural

Gas

Pip

elin

e C

ompa

nies

(W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, pr

efac

e.6

Ibid

., N

atur

al G

as A

nnua

l, 19

98 (

Was

hing

ton,

DC

: Oct

ober

199

9), t

able

98.

7

Am

eric

an G

as A

ssoc

iati

on, G

as F

acts

, (A

rlin

gton

, VA

: Ann

ual i

ssue

s), t

able

12-

2 an

d si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

8 Ib

id.,

tabl

e 12

-1.

9 Ib

id.,

tabl

es 5

-1, 5

-2, a

nd s

imila

r ta

bles

in e

arlie

r ed

itio

ns.

10 I

bid.

, tab

le 1

2-1

and

sim

ilar

tabl

es in

ear

lier

edit

ions

.11

Ibi

d., t

able

14–

2 an

d si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

12 F

eder

al E

nerg

y R

egul

ator

y C

omm

issi

on, p

erso

nal c

omm

unic

atio

n.13

U.S

. Dep

artm

ent

of E

nerg

y, E

nerg

y In

form

atio

n A

dmin

istr

atio

n, N

atur

al G

as A

nnua

l, 20

00, t

able

1.

14 A

mer

ican

Gas

Ass

ocia

tion

, Gas

Fac

ts, 1

979

(Arl

ingt

on, V

A),

unp

ublis

hed

data

and

per

sona

l com

mun

icat

ion,

Aug

. 17,

200

0.

15 A

mer

ican

Gas

Ass

ocia

tion

, per

sona

l com

mun

icat

ion,

Aug

. 17,

200

0.16

Ibi

d., G

as F

acts

, 200

0, t

able

s 12

-1, 1

2-2,

12-

3, a

nd 1

2-4.

17 F

eder

al E

nerg

y R

egul

ator

y C

omm

issi

on, h

ttp:

//ww

w.f

erc.

gov/

gas/

pipe

com

p.ht

m a

s of

Jan

. 2, 2

002.

Natu

ral G

as P

ipel

ine

Prof

ile (C

ontin

ued)

Page 412: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

appendix b

Metric Conversion Tables

Page 413: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
Page 414: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix B: Metric Conversion Tables � 395

TABL

E 1-

1M: S

yste

m K

ilom

eter

s W

ithin

the

Unite

d St

ates

(Sta

tute

kilo

met

ers)

196

0 1

965

197

0 1

975

198

0 1

985

199

0 1

995

199

6 1

997

199

8 1

999

2000

Hig

hw

aya

5,70

6,24

05,

937,

942

6,00

2,98

56,

176,

897

6,21

1,80

66,

218,

364

6,22

3,21

46,

296,

117

6,30

8,06

86,

350,

265

6,28

6,56

46,

304,

192

6,33

4,74

7

Cla

ss I

railb

,c33

3,67

232

1,54

431

6,20

230

8,22

226

5,25

523

4,58

419

2,73

217

4,23

417

0,23

516

4,35

916

1,85

216

0,01

715

9,72

7

Am

trak

cN

NN

N38

,624

38,6

2438

,624

38,6

2440

,234

40,2

3435

,406

37,0

1537

,015

Tran

sitd

Com

mut

er r

ailc

NN

NN

N5,

752

6,64

96,

695

5,92

67,

108

8,32

48,

354

8,38

3

Hea

vy r

ail

NN

NN

N2,

081

2,17

42,

346

2,37

92,

457

2,45

72,

478

2,50

7Li

ght r

ail

NN

NN

N61

877

791

31,

027

1,06

11,

088

1,29

11,

343

Nav

igab

le c

han

nel

se40

,234

40,2

3441

,843

41,8

4341

,843

41,8

4341

,843

41,8

4341

,843

41,8

4341

,843

41,8

4341

,843

Oil

pip

elin

ef30

7,29

533

9,35

835

1,91

736

3,53

335

1,46

934

3,76

433

5,95

429

2,75

928

5,71

528

9,47

828

7,50

628

5,59

9U

Gas

pip

elin

eg1,

015,

416

1,23

5,20

41,

469,

761

1,57

5,97

11,

692,

666

1,80

0,65

51,

942,

308

2,03

1,23

72,

054,

030

2,01

3,61

02,

082,

913

R2,

235,

285

2,25

3,70

3

KE

Y: N

= d

ata

do n

ot e

xist

; R =

rev

ised

; U =

dat

a ar

e no

t ava

ilabl

e.

aA

ll pu

blic

roa

d an

d st

reet

kilo

met

ers

in th

e 50

sta

tes

and

the

Dis

tric

t of C

olum

bia.

For

yea

rs p

rior

to 1

980,

som

e ki

lom

eter

s of

non

publ

ic r

oadw

ays

are

incl

uded

. No

cons

iste

nt d

ata

on p

riva

te r

oad

kilo

met

ers

are

avai

labl

e. B

egin

ning

in 1

998,

app

roxi

mat

ely

69,2

00 k

ilom

eter

s of

Bur

eau

of L

and

Man

agem

ent R

oads

are

exc

lude

d.b

Dat

a re

pres

ent

kilo

met

ers

of r

oad

owne

d (a

ggre

gate

leng

th o

f ro

ad, e

xclu

ding

yar

d tr

acks

, sid

ings

, and

par

alle

l lin

es).

cPo

rtio

ns o

f C

lass

I f

reig

ht r

ailr

oads

, Am

trak

, and

com

mut

er r

ail n

etw

orks

sha

re c

omm

on t

rack

age.

Am

trak

dat

a re

pres

ent

kilo

met

ers

of t

rack

ope

rate

d.d

Tra

nsit

sys

tem

kilo

met

ers

is m

easu

red

in d

irec

tion

al r

oute

-kilo

met

ers.

A d

irec

tion

al r

oute

-kilo

met

ers

is t

he k

ilom

eter

s in

eac

h di

rect

ion

over

whi

ch p

ublic

tra

ns-

port

atio

n ve

hicl

es t

rave

l whi

le in

rev

enue

ser

vice

. Dir

ecti

onal

rou

te-k

ilom

eter

s ar

e co

mpu

ted

wit

h re

gard

to

dire

ctio

n of

ser

vice

, but

wit

hout

reg

ard

to t

he

num

ber

of t

raff

ic la

nes

or r

ail t

rack

s ex

isti

ng in

the

rig

ht-o

f-w

ay.

eT

he S

t. L

awre

nce

Seaw

ay is

not

incl

uded

in th

is n

umbe

r be

caus

e 3

of th

e 5

subs

ectio

ns a

re s

olel

y in

Can

adia

n w

ater

s, a

nd t

he o

ther

s ar

e in

inte

rnat

iona

l bou

ndar

y w

ater

s. O

f the

41,

843

kilo

met

ers

of n

avig

able

wat

erw

ays,

17,

489

kilo

met

ers

are

com

mer

cial

ly s

igni

fican

t sha

llow

-dra

ft in

land

wat

erw

ays

subj

ect

to fu

el ta

xes.

fIn

clud

es t

runk

and

gat

heri

ng li

nes

for

crud

e-oi

l pip

elin

e.g

Exc

lude

s se

rvic

e pi

pelin

es. D

ata

not a

djus

ted

to c

omm

on d

iam

eter

equ

ival

ent.

Kilo

met

ers

as o

f the

end

of e

ach

year

. Inc

lude

s fi

eld

and

gath

erin

g, tr

ansm

issi

on,

and

dist

ribu

tion

mai

ns. S

ee t

able

1-8

for

a m

ore

deta

iled

brea

kout

of

oil a

nd g

as p

ipel

ine

kilo

met

ers.

NO

TE

1.60

9344

kilo

met

ers

= 1

mile

.SO

UR

CE

SH

ighw

ay:

1960

-95:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, H

ighw

ay S

tati

stic

s Su

mm

ary

to 1

995,

FH

WA

-PL

-97-

009

(Was

hing

ton,

DC

: A

nnua

l iss

ues)

, tab

le H

M-2

12.

1996

-98,

2000

: Ibi

d., H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le H

M-2

0.19

99: I

bid.

, per

sona

l com

mun

icat

ion,

May

200

2.C

lass

I r

ail:

1960

-200

0: A

ssoc

iati

on o

f A

mer

ican

Rai

lroa

ds, R

ailr

oad

Fact

s (W

ashi

ngto

n, D

C: 2

001)

, p. 4

5.A

mtr

ak:

1980

: Am

trak

, Cor

pora

te P

lann

ing

and

Dev

elop

men

t, p

erso

nal c

omm

unic

atio

n (W

ashi

ngto

n, D

C).

1985

-200

0: A

mtr

ak, C

orpo

rate

Pla

nnin

g an

d D

evel

opm

ent,

Am

trak

Ann

ual R

epor

t, S

tati

stic

al A

ppen

dix

(Was

hing

ton,

DC

: Ann

ual i

ssue

s).

Tra

nsit

: 19

85-9

9: U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Tra

nsit

Adm

inis

trat

ion,

Nat

iona

l Tra

nsit

Dat

abas

e (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le 2

0 an

d si

mila

r ta

bles

in e

arlie

r ed

itio

ns.

Nav

igab

le c

hann

els:

1960

-96:

U.S

. Arm

y C

orps

of

Eng

inee

rs, O

hio

Riv

er D

ivis

ion,

Hun

ting

ton

Dis

tric

t, O

hio

Riv

er N

avig

atio

n Sy

stem

Rep

ort,

199

6, C

omm

erce

on

the

Ohi

o R

iver

an

d it

s T

ribu

tari

es (

Fort

Bel

voir,

VA

: 199

6), p

. 2.

1997

-99:

Wat

erbo

rne

Com

mer

ce S

tati

stic

s C

ente

r D

atab

ases

, per

sona

l com

mun

icat

ion,

Aug

. 3, 2

001.

Oil

pipe

line:

1960

-99:

Eno

Tra

nspo

rtat

ion

Foun

dati

on, I

nc.,

Tra

nspo

rtat

ion

in A

mer

ica,

200

0 (W

ashi

ngto

n, D

C: 2

001)

, p. 4

4.

Gas

pip

elin

e:19

60-2

000:

Am

eric

an G

as A

ssoc

iati

on, G

as F

acts

(A

rlin

gton

, VA

: Ann

ual i

ssue

s), t

able

5-2

and

sim

ilar

tabl

es in

ear

lier

edit

ions

.

Page 415: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

396 � Appendix B: Metric Conversion TablesTA

BLE

1-6M

: Est

imat

ed U

.S. R

oadw

ay L

ane-

Kilo

met

ers

by F

unct

iona

l Sys

tem

a

1980

1985

1990

1995

1996

1997

1998

R,d

199

9R 2

000

TOTA

L la

ne-

kilo

met

ers

12,7

49,5

0312

,903

,711

12,9

56,9

5913

,129

,436

13,1

62,2

6813

,264

,917

13,1

33,6

2813

,161

,188

13,2

34,2

68

Urb

an77

,986

92,2

0710

0,12

411

4,87

011

5,53

511

6,28

611

7,49

211

7,95

411

8,95

5In

ters

tate

s53

6,99

559

8,11

164

2,73

371

7,49

172

3,36

873

0,03

573

0,73

972

4,86

673

3,63

1

Oth

er a

rter

ials

b23

3,56

126

1,32

027

0,00

029

7,78

030

0,82

330

3,92

530

1,80

529

9,87

630

3,47

1

Col

lect

ors

1,39

6,88

81,

530,

515

1,67

5,54

61,

831,

224

1,84

9,87

01,

879,

627

1,89

4,21

21,

908,

598

1,92

6,12

7Lo

cal

2,24

5,42

92,

482,

154

2,68

8,40

32,

961,

365

2,98

9,59

63,

029,

873

3,04

4,24

83,

051,

294

3,08

2,18

3To

tal u

rban

Ru

ral

Inte

rsta

tes

210,

792

212,

284

218,

663

212,

298

213,

983

214,

308

214,

415

215,

971

216,

597

Oth

er a

rter

ials

b81

6,09

582

0,77

383

2,58

185

4,08

985

7,54

986

4,20

086

5,81

686

7,90

886

8,91

4

Col

lect

orsc

2,30

3,40

12,

360,

568

2,36

1,87

62,

281,

129

2,27

9,89

62,

283,

075

2,27

8,46

72,

275,

537

2,27

6,68

3

Loca

l7,

173,

786

7,02

7,93

16,

855,

435

6,82

0,55

46,

821,

243

6,87

3,46

06,

730,

682

6,75

0,47

96,

789,

892

Tota

l ru

ral

10,5

04,0

7410

,421

,557

10,2

68,5

5610

,168

,070

10,1

72,6

7110

,235

,043

10,0

89,3

8010

,109

,894

16,3

38,1

97

KE

Y: R

= r

evis

ed.

aIn

clud

es t

he 5

0 St

ates

and

the

Dis

tric

t of

Col

umbi

a.b

For

urba

n: t

he s

um o

f ot

her

free

way

s an

d ex

pres

sway

s, o

ther

pri

ncip

al a

rter

ials

, and

min

or a

rter

ials

. For

rur

al: t

he s

um o

f ot

her

prin

cipa

l art

eria

ls a

nd m

inor

ar

teri

als.

cIn

clud

es m

inor

and

maj

or c

olle

ctor

s.

dB

egin

ning

in 1

998,

app

roxi

mat

ely

138,

400

lane

-kilo

met

ers

of B

urea

u of

Lan

d M

anag

emen

t ro

ads

are

excl

uded

.

NO

TE

SIn

est

imat

ing

rura

l and

urb

an la

ne k

ilom

eter

s, t

he U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Fed

eral

Hig

hway

Adm

inis

trat

ion

assu

med

tha

t ru

ral m

inor

col

lect

ors

and

urba

n/ru

ral l

ocal

roa

ds a

re t

wo

lane

s w

ide.

1.60

9344

kilo

met

ers

= 1

mile

.

SOU

RC

ES

1980

-95:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n, O

ffic

e of

Hig

hway

Inf

orm

atio

n M

anag

emen

t, t

able

HM

-260

(un

publ

ishe

d).

1996

-199

8, 2

000:

U.S

. Dep

artm

ent

of T

rans

port

atio

n, H

ighw

ay S

tati

stic

s (W

ashi

ngto

n, D

C: A

nnua

l iss

ues)

, tab

le H

M-6

0. I

nter

net

addr

ess

ww

w.f

hwa.

dot.

gov/

ohim

.ohi

mst

at.h

tm a

s of

Dec

. 27,

200

1.19

99: I

bid.

, per

sona

l com

mun

icat

ion,

Jun

e 5,

200

2.

Page 416: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

Appendix B: Metric Conversion Tables � 397

TABL

E 1-

32M

: U.S

. Veh

icle

-Kilo

met

ers

(Mill

ions

)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

Air

Air

carr

ier,

larg

e ce

rtifi

-ca

ted,

dom

estic

, all

serv

ices

1,38

11,

825

3,32

83,

135

4,06

04,

902

6,37

811

,989

7,74

37,

903

8,10

38,

582

R9,

115

Gen

eral

avi

atio

na2,

847

4,12

35,

161

6,82

08,

375

7,52

07,

319

9,82

95,

671

6,23

9N

NN

Hig

hw

ay

Pas

seng

er c

arb,

c

Mot

orcy

cleb

944,

704

1,16

3,06

61,

475,

286

1,66

3,98

11,

788,

940

2,00

6,52

72,

266,

384

3,72

5,16

42,

365,

501

2,41

8,12

92,

493,

802

2,52

5,22

22,

578,

031

Oth

er 2

-axl

e 4-

tire

vehi

clec

hh

4,79

49,

059

16,4

3814

,622

15,3

8125

,374

15,9

6516

,224

16,5

4917

,033

16,8

64

Truc

kh

h19

8,41

032

2,99

546

8,21

462

9,19

192

4,68

22,

046,

166

1,31

4,09

41,

369,

132

1,39

7,35

31,

450,

054

1,48

7,06

3

Sin

gle-

unit

2-ax

le

6-tir

e or

mor

e tr

uck

158,

602

207,

234

43,5

8355

,693

64,0

7373

,130

83,5

2716

2,40

510

3,11

410

7,65

410

9,46

911

3,14

311

3,59

2

Com

bina

tion

truc

k46

,436

50,9

6056

,543

75,1

9511

0,52

712

5,63

015

1,82

729

9,01

719

1,34

920

0,49

920

6,57

421

3,05

121

7,59

6B

us6,

994

7,53

37,

313

9,74

59,

751

7,20

79,

215

16,6

2810

,562

11,0

1111

,277

12,3

3112

,233

Tota

l hig

hw

ayc

R1,

156,

735

R1,

428,

795

1,78

5,92

82,

136,

668

2,45

7,94

3R

2,85

6,30

63,

451,

016

3,89

8,95

14,

000,

585

4,12

2,64

84,

235,

024

4,33

0,83

54,

425,

379

Tran

sit

Mot

or b

usd

2,53

72,

460

2,26

82,

456

2,69

92,

998

3,42

83,

514

3,57

43,

612

3,50

03,

663

P3,

726

Ligh

t rai

l12

067

5438

2827

3956

6166

7078

P85

Hea

vy r

ail

629

636

655

681

619

725

864

865

874

898

910

930

P95

8Tr

olle

y bu

s16

269

5325

2125

2222

2223

2223

P24

Com

mut

er r

ail

NN

N27

828

829

534

238

338

940

341

842

8P43

6

Dem

and

resp

onsi

ved

NN

NN

N39

849

281

588

294

21,

080

1,15

6P1,

221

Fer

ry b

oat

NN

NN

ii

45

45

55

P5

Oth

erN

NN

2425

2426

5569

8010

111

1P11

4

Tota

l tra

nsi

te3,

449

3,23

23,

030

3,50

23,

681

4,49

25,

217

5,71

35,

875

6,02

86,

105

6,39

3P6,

568

Con

tinue

d ne

xt p

age

Page 417: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna

398 � Appendix B: Metric Conversion Tables

Rai

lC

lass

I fr

eigh

t, tr

ain-

kilo

met

ers

650

678

687

649

689

558

612

737

754

764

764

789

811

Cla

ss I

frei

ght,

car-

kilo

met

ers

45,3

3547

,212

48,1

0344

,508

47,1

1740

,105

42,0

9948

,897

51,0

4050

,952

52,5

5654

,478

55,6

67

Inte

rcity

/Am

trak

f , tr

ain-

kilo

met

ers

336

277

150

4848

4853

5148

5153

5556

Inte

rcity

/Am

trak

f , ca

r-ki

lom

eter

s3,

554

2,85

71,

110

407

378

404

484

470

444

463

502

550

592

Tota

l tra

in-k

ilom

eter

sg98

795

483

769

773

760

766

578

980

381

681

884

386

7

KE

Y: N

= d

ata

do n

ot e

xist

; P =

pre

limin

ary;

R =

rev

ised

.

aA

ll op

erat

ions

oth

er t

han

thos

e op

erat

ing

unde

r 14

CFR

121

and

14

CFR

135

. Dat

a fo

r 19

96 a

re e

stim

ated

usi

ng n

ew in

form

atio

n on

non

resp

onde

nts

and

are

not

com

para

ble

to e

arlie

r ye

ars.

Mile

age

in s

ourc

e is

mul

tipl

ied

by 1

.151

to

conv

ert

to n

auti

cal-

mile

s fo

r 19

85-1

997.

The

se n

umbe

rs w

ere

then

con

vert

ed t

o ki

lom

eter

s.b

U.S

. Dep

artm

ent

of T

rans

port

atio

n, F

eder

al H

ighw

ay A

dmin

istr

atio

n (F

HW

A),

pro

vide

s da

ta s

epar

atel

y fo

r pa

ssen

ger

car

and

mot

orcy

cle

in it

s an

nual

Hig

h-w

ay S

tati

stic

s se

ries

. How

ever

, the

199

5 su

mm

ary

repo

rt p

rovi

des

upda

ted

data

for

pas

seng

er c

ar a

nd m

otor

cycl

e co

mbi

ned.

Pas

seng

er c

ar f

igur

es in

thi

s ta

ble

wer

e co

mpu

ted

by U

.S. D

epar

tmen

t of

Tra

nspo

rtat

ion,

Bur

eau

of T

rans

port

atio

n St

atis

tics

, by

subt

ract

ing

the

mos

t cu

rren

t m

otor

cycl

e fi

gure

s fr

om t

he a

ggre

-ga

te p

asse

nger

car

and

mot

orcy

cle

figu

res.

cIn

Jul

y 19

97, t

he F

HW

A p

ublis

hed

revi

sed

vehi

cle-

kilo

met

ers

data

for

the

hig

hway

mod

es f

or m

any

year

s. T

he m

ajor

cha

nge

refl

ecte

d th

e re

assi

gnm

ent

of

som

e ve

hicl

es f

rom

the

pas

seng

er c

ar c

ateg

ory

to t

he o

ther

2-a

xle

4-ti

re v

ehic

le c

ateg

ory.

Thi

s ca

teg

ory

was

cal

cula

ted

prio

r to

rou

ndin

g.d

Mot

or b

us a

nd d

eman

d re

spon

sive

fig

ures

are

als

o in

clud

ed in

the

bus

fig

ure

for

high

way

.e

Prio

r to

198

5, e

xclu

des

dem

and

resp

onsi

ve a

nd m

ost

rura

l and

sm

alle

r sy

stem

s fu

nded

via

Sec

tion

s 18

and

16(

b)2,

Fed

eral

Tra

nsit

Act

. The

ser

ies

is n

ot c

on-

tinu

ous

betw

een

1980

and

198

5. T

rans

it r

ail m

odes

are

mea

sure

d in

car

-kilo

met

ers.

Car

-kilo

met

ers

mea

sure

indi

vidu

al v

ehic

le-k

ilom

eter

s in

a t

rain

. A 1

0-ca

r tr

ain

trav

elin

g 1

kilo

met

er w

ould

equ

al 1

tra

in-k

ilom

eter

and

10

car-

kilo

met

ers.

fA

mtr

ak b

egan

ope

rati

ons

in 1

971.

gA

ltho

ugh

both

tra

in-k

ilom

eter

s an

d ca

r-ki

lom

eter

s ar

e sh

own

for

rail,

onl

y tr

ain-

kilo

met

ers

are

incl

uded

in t

he t

otal

. A t

rain

-kilo

met

er is

the

mov

emen

t of

a

trai

n, w

hich

can

con

sist

of

mul

tipl

e ve

hicl

es (

cars

), t

he d

ista

nce

of 1

kilo

met

er. T

his

diff

ers

from

a v

ehic

le-k

ilom

eter

, whi

ch is

the

mov

emen

t of

1 v

ehic

le t

he

dist

ance

of

1 ki

lom

eter

. A 1

0-ve

hicl

e tr

ain

trav

elin

g 1

kilo

met

er w

ould

be

mea

sure

d as

1 t

rain

-mile

and

10

vehi

cle-

kilo

met

ers.

Cau

tion

sho

uld

be u

sed

whe

n co

mpa

ring

tra

in-k

ilom

eter

s w

ith

vehi

cle

kilo

met

ers.

h19

60–6

5, m

otor

cycl

e da

ta a

re in

clud

ed in

pas

seng

er c

ar, a

nd o

ther

2-a

xle

4-ti

re v

ehic

le d

ata

incl

uded

in s

ingl

e-un

it 2

-axl

e 6-

tire

or

mor

e tr

uck.

iFe

rry

boat

incl

uded

wit

h ot

her.

TABL

E 1-

32M

: U.S

. Veh

icle

-Kilo

met

ers

(Mill

ions

) (Co

ntin

ued)

1960

1965

1970

1975

1980

1985

1990

1995

1996

1997

1998

1999

2000

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Page 535: National Transportation Statistics 2002 · Chip Moore Desktop Publishing Specialist Dorinda Edmondson Data Collection Battelle: Brian Carpenter Matthew Gifford Deepak Gopalakrishna
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