District 12 Mobility Performance Report

2018 3rd Quarter

DEPARTMENT OF TRANSPORTATION

October 23, 2018 District 12 TMC

1

DISTRICT 12 MOBILITY PERFORMANCE REPORT 2018 3rd Quarter

EXECUTIVE SUMMARY

Overview

Caltrans District 12 (Orange County) is located in southern California and is neighbors

with District 7 (Los Angeles), District 8 (San Bernardino), and District 11 (San Diego). As of

July 2016 the total population in Orange County was 3,172,532. The jurisdictional boundaries of

Orange County encompass a metropolitan area of 794 square miles, including 34 cities, and 17

state highway routes. The county has 1,059 lane miles of general purpose lanes and 226 lane

miles of High-Occupancy Vehicle (HOV) lanes, which is one of California’s largest HOV lane

networks. Orange County is the third most populous county in California, the sixth-most

populous in the United States, and more populous than twenty-one U.S. states. Its county seat is

Santa Ana. It is the second most densely populated county in the state.

The Mobility Performance quarterly analysis compares information from the most recent

quarter and the previous 4 quarters, involving the following performance measures:

o Vehicle Miles of Travel (VMT)

o Vehicle Hours of Delay (VHD)

o Lost Lane Miles (LLM)

o Detector Health

This information is based on data collected every day of the quarter, twenty-four hours a day,

by automated vehicle detector stations deployed on urban-area freeways where congestion is

regularly experienced. The MPR uses congestion at two speed thresholds: delay from vehicles

traveling below 35 MPH and delay from vehicles traveling below 60 mph. The 35 MPH limit

2

represents severe congestion while the 60 MPH limit represents light and heavy congestion.

These thresholds/limits are set by Caltrans and are based upon engineering experience and

District input.

FINDINGS

In the third quarter of 2018, at 35 mph, the total delay equaled to 1.8 million vehicle

hours of delay (VHD), which was 15 percent less than the second quarter of 2018 of 2.1 million

VHD. At 60mph, the total delay was 5.6 million VHD, which was 7.5 percent less than the

second quarter of 6.1 million VHD.

The average weekday VHD, in the third quarter, was 25 thousand hours of delay at 35

MPH, which was 14.3 percent less than the VHD of the second quarter of 29 thousand hours of

delay. While the VHD at 60 MPH, during the third quarter, was76 thousand hours of delay.

Which was a decrease of 6.4 percent from 81 thousand hours of delay during the second quarter

of 2018.

Top 10 Bottlenecks for the 3rd Quarter of 2018

Abs PM CA PM # DaysActive

AvgExtent(Miles)

TotalDelay

(veh-hrs)

TotalDuration

(mins)12.892 13.122 58 3.22069 69154 839514.341 14.571 35 4.508571 20809.7 567013.51 13.74 41 3.37561 20786.7 261099.811 27.56 63 1.57619 19927 1581014.93 15.16 44 2.913636 18961.5 865014.341 14.571 41 1.926829 17737 365528.453 R10.08 56 2.610714 16188.7 1028514.59 14.82 35 2.762857 15652.9 318512.62 12.85 29 2.32069 15155.5 6280

116.151 43.9 63 1.014286 14744.9 14685

Q u a r t e r l y M o b i l i t y Statistics

2018 Q3

Q u a r t e r l y M o b i l i t y Statistics

D i s t r i c t 12

Measure G r a p h Percentage Change

Veh ic l e M i l e s

o f T r a v e l

( V M T )

Orel" one year Over l u t q u r t a

2 . 7 % O.S%

T o t a l Veh ic l e

H o u r s o f

D e l a y ( V H D )

at 35 m p h

Ore l - one y r a r ^ac Over l u t q u H n

- 1 5 % - 3 0 . 8 %

Average Non-Holiclay

Weekday Vehicle Hours

of Delay (\"HD) at 35 mph

O v a one ; eiii- i i j o Ovei l u t q u r t a

- 3 3 . 5 % - 1 4 . 3 %

T o t a l Veh ic l e

H o u r s o f

D e l a y ( V H D )

at 60 l a p l i

Ore l - one yeiir iigo Over l u t q u r t a

Ore l - one year iigo Ovet l u t q u r t a

- 7 . 5 %

- 2 2 . 3 % - 6 . 4 %

A v e r a g e >~ou-

H o l i d a y

W e e k d a y

Veh ic l e H o u r s

of Delay

( V H D )

at 60 u i p h

- 2 1 %

Miles [Billions) & i

201 7 Q.3 2A18Q2 201 S Q.3 4 3.5 3.5 3.5

3 -

2 -

1 -

0 J • • • • • • • • • • • •

Hours (Millions) 5 -|

4 " 2017 Q3 3 - 2-6 ^ l 8 * 2 2018 Q3

' 1.8

2 -

1

B U H BBuuH • • • •

Hours (Thousands)

60 -I

SO 2017 Q3 40 - " 2 M S Q2 2 O T B q 3

30 - 2 5 ^5 20 -10 -

D J • • • • • • • • • • • •

Hours (Millions) 10 - i

2017 Q3 B - 7.1 201BQ2 2018 Q3

g-i 5.6

6 -

4 -

2 -

• • • • • • • • • • • • Honrs (Thousands)

150 i 125 - 2017 03

1 0 n . M 201B Q2 2<Md Q3 51 76

75 -

50 -

25 -

0

G Q

W D

SE

S E

S S

2018 Q3

Quarterly Mobility Statistics

District 12

Measure ^ ^ ^ a r j l i ^ ^ Percentage Change

Average

Vehicle Hours

of Delay by

Day of Week

ato"0iiipli

i

:

;

Average

Vehicle Hours

of Delay by

Hour of Day

at 35 ujpli.

Weekdays

Average

Vehicle Hours

of Delay by

Hour of Day

at 35 mph.

Saturdays

Average

Vehicle Hours

of Delay by

Hour of Day

at 35 mph,

Sundays/

Holidays.

\l P M 139%

Largest Magnitude ! Suu. - Holiday Increa se

over one year ago

Larger r Magnitude Sun.'Hobday Incie ase

over Last quarter

111 P M JS3.9%

4 P M

-29.3%

10 P M

-38.6%

Largest Magnitude Sun./Hokday Decrease

over one year ago

Largest Magnitude Villi. Holiday D « i e a ; e

over last quarter

10 P M

86.5%

5 P M

19.9%

Largest Magnitude Saturday Increase aver

last quarter

Largest Magnitude Saturday Increase over

one year ago

5 P M

-35.5%

2 P M

-26.4%

Largest Magnitude Saturday Decrease over Last quarter

Largest Magnitude Saturday Decrease over

one year ago

12 A M

23.4%

7 P M

S.3%

Largest Magnitude Weekday Increase over

last quarter

Largest Magnitude Weekday Increase over

one year ago

5 P M -32.2%

5 P M -13.5%

Largest Magnitude i Weekday Decrease over ; one year ago

Largest Magnitude Weekday Decrease

over Last quarter

Largest Magnitude Increase over Last

qua iter

Monday

0.4%

Largest Magnitude Increase over one year

ago

Tuesday -27.7%'

Friday -9.7%

Largest Magnitude Decrease over last

quarter

Largest Magnitude Decrease over one year

ago Hours (Thousands.) 120

i2D17Q3 , „ I2013Q2 _ • 1 0 0 "12D13CI3

llllllllllll,, Mori Tiie Wed Thu Fri Sat Suti.'Hol

A 4 Hours (Thousands)

1 0 T Weekday (2017 QS | Weekday (2016 Q2 :• Weekday (201B 03 |

0 1 2 3 1 5 G 7 £ 9 1011 121314151617 1B192021 22 23 Hour of Day

Hours (Thousands!

Saturday (2017 Q3 )

0 ) 2 3 1 5 6 7 3 9 10 111213 14 1516 17 IS 19 2D21 22 23 Hour of Day

Hours (Thousands) 1 ^^—SundayfHoliday; (2D17Q3)

^ ™ SundaWHclidatf 12013 O i W -~

D 1 2 3 4 5 6 7 B & 1011121314151617181920212223 Hour of Day

•

•

S S

D

S S

S S

G S

D D

D D

S S

2013 Q3

Quai teily Mobility Statistics

District 12

M M sure G r a p h Percentage Change

Tot<iI Vehicle \

Hours of

Delay (VHD) I

by County

at 35 rupb

j

Average Non-

Holiday

Weekday

Equivalent

Lost Lane

Mile Hours

at J5 tnpb

Average

Number of

Good aud Ba

Detectors

j

j

d;

=

45% 9H

-3%

Change is Good over List quarter

-3%

C liange in Good over one year ago

Largest Magnitude Increase over one year

ago

Largest Magnitude Increase over l a «

quarter

AM Pe.lk -7.4%

PM Peak-22.7%

Largest Magnitude Decrease over one year

ago

Largest Magnitude Decrease over List

quarter

Largest Magnitude Increase over last

quarter

Largest Magnitude Increase over one year

ago

Orange -30. &%

Or.inge -15%

Largest Magnitude Decrease over List

quarter

Largest Magnitude Decrease over one year

ago

Hours (Millions) 5 T "2017 03

2019 Q2 2018 03

2.62

o -I- — ^ ^ — —,

Miles 100 T

• 2017 Q3 201SCI2

• 201EQ3 H

75 -

50 -

25 - ^ ^ | a _

D -I—^ ^ i ^ ^ i ^ ^ i ™ ^ ™ AM Peak Off-Peak Day PM Peak Off-Peak Night

(S AM to 10 AM)(10 AM to 3 PM) (3 PM to 7 PM) (7 PM to 6 AM)

Number of Detectors 7 500 "Average of Good

•Average of Bad

5,000 • 1,095 1,463 1.5B9

a 1 I—,—̂ I—,—I ^ ,2017 Q3 2010 Q2 201EQ3

4 ; Change in Bad over one

year ago Change in Bad over last;

quarter

S S

S S

S

S A

A S

2018 Q3Quarterly Mobility Statistics

District 12

Congestion by Route

Route County

Vehicle Hours of Delay at 35 mph

Difference 2018Q3-2017Q3

Difference 2018Q3-2018Q2 Rank

2017 Q3 2018 Q2 2018 Q3 Absolute Percentage Absolute Percentage 2017 Q3 2018 Q2 2018 Q31405 Orange 780.970 586.949 596.244 -184.726 -23.7% 9,295 1.6% 1 1 115 Orange 522.741 521.179 497.969 •24.773 -4.7% -23,211 4.5% 2 2 2SR91 Orange 372.390 275.875 253.372 ■119.018 -32.0% -22,503 -8.2% 4 3 3SR55 Orange 418.170 274.121 157.785 -260.386 -62.3% -116,336 42.4% 3 4 4SR22 Orange 148.581 103.966 107.555 41,026 -27.6% 3,589 3.5% 6 6 5

SR73 Orange 108.567 86.189 77.723 •30.844 -28.4% -8.466 -9.8% 7 7 6SR57 Orange 217.560 197.535 49.302 ■168.258 -77.3% -148,233 -75.0% 5 5 7SR241 Orange 29.597 42.679 36.706 7.109 24.0% -5,973 -14.0% 8 8 8SR133 Orange 4.678 16.289 17.598 12.920 276.2% 1.308 8.0% 10 10 91605 Orange 21.261 17.500 17.349 -3.912 -18.4% -152 -0.9% 9 9 10SR142 Orange 0 12.796 3.186 3.186 -9,610 -75.1% 11 11SR74 Orange 0 684 1.498 1.498 814 119.0% 12 12SR261 Orange 113 313 290 177 156.4% -23 ■7.4% 12 13 13SRI Orange 0 0 0 0 0SR39 Orange 274 0 0 -274 -100.0% 0 11