View
1
Download
0
Category
Preview:
Citation preview
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA |
www.facebook.com/MoveSmartSF
Draft SFTP Equity Analysis
April 15, 2013
Socioeconomic and Geographic Disparities in our
Current and Future Transportation System
The Purpose of This Analysis
• Identify investment and policy needs for SFTP
• Shape/guide SFTP investment plan
• Support SFTP policy recommendations (e.g. TDM)
Note:
• This is not a Title VI analysis, as required by transit agencies that
receive federal funding, like SFMTA
• SFMTA is currently working on its Title VI recertification (due to the
Federal Transit Administration late this year)
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 2
Communities of Concern
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 3
Source: Metropolitan Transportation Commission (2012), Plan Bay Area Equity Analysis Methodology
To qualify as a CoC:
• Zone must have at
least four “degrees
of disadvantage”
OR
• Meet low-income
and race/ethnicity
concentration
thresholds
SFCTA 12-District System
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 4
Approach
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 5
High-Level Findings Safety Metrics
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 6
Metric Socioeconomic Disparity Notes
Pedestrian Safety Injuries concentrated in highest-
density districts, many of which are
CoCs
Bike Safety Injuries concentrated in highest-
density districts, many of which are
CoCs
Street/Transit Crime Highest-crime areas concentrated in
CoCs
Air-Quality Impacts Concentrations around elevated
freeways, high-volume northeastern
streets
Major Trends Small/No Trends
Note: For every metric, there are geographic trends and/or disparities that either
A. Are expected because of land use or geography (i.e. hills)
B. Indicate an inequity rooted in other reasons, opening the potential for a policy/investment response.
High-Level Findings Transportation Network Quality Metrics
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 7
Metric Socioeconomic Disparity Notes
Access to Muni
Rapid
Concentrations of lower-access
areas in lower-density
southern/western areas
Access to Regional
Transit
Major gaps in access in Sunset,
Richmond, and southeast/
southwest edges of the city
Transfer Rate to
Popular Destinations
Most transfers needed in the
southern and western parts of the
city
Pavement Quality Concentration of best conditions in
northeast core, worst conditions in
dense core-adjacent districts
Major Trends Small/No Trends
Need a good dataset:
• Pedestrian Network
Quality
Still working on
methodology:
• Access to Bike
Network
• Access to Owl Network
Note: For every metric, there are geographic trends and/or disparities that either
A. Are expected because of land use or geography (i.e. hills)
B. Indicate an inequity rooted in other reasons, opening the potential for a policy/investment response.
High-Level Findings Transit Performance Metrics
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 8
Metric Socioeconomic Disparity Notes
Transit Speeds Transit speeds lowest in densest
districts, many of which are CoCs
Transit Reliability Small differential in speeds is not
necessarily indicative of speedy
service
AM-Peak Transit
Crowding
Crowding most affects residents of
Western Market, outlying districts
Travel Time to
Popular Destinations
Concentrations of longest travel
times in the southern and western
parts of the city
Vehicle Miles
Traveled
Concentrations of lowest VMT levels
in dense, central districts; highest
VMT levels in lower-density areas
Major Trends Small/No Trends
Need a good dataset:
• Transportation
Affordability
Note: For every metric, there are geographic trends and/or disparities that either
A. Are expected because of land use or geography (i.e. hills)
B. Indicate an inequity rooted in other reasons, opening the potential for a policy/investment response.
High-Level Findings By Neighborhood
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 9
District Poor Performance Poor Cats Strong Performance Strong Cats
Bayshore Across the Board
Downtown Safety Quality, Performance
Hill Districts Quality Safety
Marina/N. Heights Safety
Mission/Potrero Safety
N.Beach/Chinatown Quality, Performance
Noe/Glen/Bernal Performance
Outer Mission Safety
Richmond Safety
SoMa Performance
Sunset Performance
Western Market Safety Quality, Performance
Significantly Worse than
Citywide Average
Significantly Better than
Citywide Average
Safety
• Pedestrian Safety (total collisions and collision rate)
• Bike Safety
• Street and Transit-Related Crime
• Transportation-Related Air Quality Impacts
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 10
SA
FET
Y
Pedestrian Injuries: Raw Total Concentrations in Densest Districts
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 11
Sources:
Tract Populations: American Community Survey, 2009
Ped Collisions (2007-11): Statewide Integrated Traffic Reporting System (SWITRS)
SA
FET
Y
Total Pedestrian Injuries by CoC Status A significant socioeconomic disparity
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 12
31%
56%
15%
9%
33%
25%
0%
10%
20%
30%
40%
50%
60%
Worst 20% of Zones Worst 40% of Zones Zero Injuries
Per
cen
t of Z
on
es in
So
cio
eco
no
mic
Ca
tego
ry
Total Pedestrian Injuries
In COC
Outside COC
SA
FET
Y
Pedestrian Injury Rate Concentrations in less-dense districts with high-vol arterials
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 13
Sources:
Predicted Crossing Volume: San Francisco Pedestrian Volume Model (2011)
Ped Collisions (2007-11): Statewide Integrated Traffic Reporting System (SWITRS)
SA
FET
Y
Pedestrian Injury Rate by CoC Status Still a socioeconomic issue, but much less pronounced
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 14
16%
32%
16% 15%
44%
26%
0%
10%
20%
30%
40%
50%
60%
Worst 20% of Zones Worst 40% of Zones Rate lower than .01
Per
cen
t of Z
on
es in
So
cio
eco
no
mic
Ca
tego
ry
Pedestrian Injury Rate (by Crossing Volume)
In COC
Outside COC
SA
FET
Y
Bike Safety Concentrations in densest areas, w/ more bike/car conflicts
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 15
Sources: Tract Populations – American Community Survey, 2009
Bike Collisions (2007-11) – Statewide Integrated Traffic Reporting System (SWITRS)
Bike Facilities – SFMTA (2013)
SA
FET
Y
Bike Injuries by Socioeconomic Status Concentration of high-injury zones in COCs
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 16
20%
26%
8%
40%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Zones with 7 or more Injuries
During Analysis Period
Zones with No Injuries
During Analysis Period
Per
cen
t of Z
on
es in
So
cio
eco
no
mic
Ca
tego
ry
Bike Injuries by Zone
In COC
Outside COC
SA
FET
Y
Summary: Safety Issues Bike and Pedestrian Injuries
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 17
Metric Significantly Worse than City Avg Significantly Better than City Avg
Pedestrian Safety (Total Injuries) Downtown*
North Beach/Chinatown
Outer Mission*
SoMa*
Western Market
Bayshore*
Hill Districts
Marina/Northern Heights
Noe/Glen/Bernal
Sunset
Pedestrian Safety (Injury Rate) Bayshore*
Noe/Glen/Bernal
Outer Mission*
Sunset
Downtown*
Marina/Northern Heights
North Beach/Chinatown
SoMa*
Bike Safety Downtown*
Mission/Potrero*
SoMa*
Western Market
Bayshore*
Hill Districts
Marina/Northern Heights
Richmond
SA
FET
Y
*Significant concentration of communities of concern
Summary: Safety Issues Crime and Air Quality
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 18
Metric Significantly Worse than City Avg Significantly Better than City Avg
Street/Transit-Related Crime Bayshore*
Downtown*
Mission/Potrero*
Western Market
Hill Districts
Marina/Northern Heights
Richmond
Sunset
Air-Quality Impacts Bayshore*
Mission/Potrero*
North Beach/Chinatown
Richmond
SA
FET
Y
*Significant concentration of communities of concern
Transportation Network Quality
• Access to the Muni Rapid Network
• Access to the Regional Transit Network
• Transfer Rate to Popular Destinations
• Pavement Quality
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 19
QU
ALIT
Y
Access to the Rapid Network Best access in the core, along rail spines
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 20
Source: SF-CHAMP 4.3
Fixed/Final
QU
ALIT
Y
Access to Rapid Network Concentration downtown gives many CoCs good access
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 21
Source: Calculated using Muni TEP Rapid Network Designations.
0%
5%
10%
15%
20%
25%
30%
35%
40%
No
Connections
1
Connection
2
Connections
3
Connections
4
Connections
5+
Connections
Direct Access to Rapid Network by Socioeconomic Status
In COC
Outside COC
QU
ALIT
Y
Transfers per Transit Trip (2012, AM Peak Period) Geographic Pattern: Furthest from Downtown, no direct routes
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 22
Source: SF-CHAMP 4.3
QU
ALIT
Y
Pavement Conditions Best conditions cluster in NE core, worst in core-adjacent areas
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 23
QU
ALIT
Y
Summary: Transit Quality Issues
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 24
Metric Significantly Worse than City Avg Significantly Better than City Avg
High-Quality Transit: Access to the
Rapid Network
Bayshore (both)*
Hill Districts
Marina/N. Heights
Noe/Glen/Bernal
Sunset
Bayshore (both)*
Downtown*
SoMa*
Western Market
High-Quality Transit: Access to the
Regional Network
Hill Districts
Richmond
Sunset
Downtown*
Mission/Potrero*
Noe/Glen/Bernal
Outer Mission*
SoMa*
QU
ALIT
Y
*Significant concentration of communities of concern
Summary: Transit Quality Issues
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 25
Metric Significantly Worse than City Avg Significantly Better than City Avg
Transfer Rate to Popular
Destinations
Bayshore*
Mission/Potrero*
Noe/Glen/Bernal
Downtown*
North Beach/Chinatown
SoMa*
Western Market
Pavement Quality Mission/Potrero*
Western Market
Downtown*
North Beach/Chinatown
QU
ALIT
Y
*Significant concentration of communities of concern
Transportation Performance
• Transit Speed
• Transit Speed Variability (Reliability)
• Transit Crowding in the Morning Peak Hour
• Travel Time to Popular Destinations
• Vehicle Miles Traveled
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 26
PE
RF
OR
MA
NC
E
Muni Crowding Morning Peak Hour, 2012 and 2040
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 27
Source: SF-CHAMP 4.3
PE
RF
OR
MA
NC
E
2012: Transit Crowding Experienced by Origin District AM Peak Period
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 28
Source: SF-CHAMP 4.3
20% 19% 20% 20% 19% 13%
11% 9% 6% 3%
2% 1%
9%
7% 6% 2% 1% 1% 3% 1% 1% 2% 4% 1% 1%
10%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Per
cen
t of P
erso
n-H
ou
rs T
rave
lled
Crowding Experienced by Transit Riders, by Origin District in the 2012 Morning Peak
Overcapacity
Crowded
Uncrowded
PE
RF
OR
MA
NC
E
2040: Transit Crowding Experienced by Origin District AM Peak Period
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 29
Source: SF-CHAMP 4.3
30% 20% 23% 21%
11%
15% 16%
11% 17%
6%
5%
14%
18%
14% 16% 14% 17%
28%
15% 13% 6% 8% 7%
19%
8% 16%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Per
cen
t of P
erso
n-H
ou
rs T
rave
lled
Crowding Experienced by Transit Riders, by Origin District in the 2040 Morning Peak
Overcapacity
Crowded
Uncrowded
PE
RF
OR
MA
NC
E
2040: Transit Crowding Experienced by Origin District AM Peak Period
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 30
Source: SF-CHAMP 4.3
PE
RF
OR
MA
NC
E
Crowding and Communities of Concern (’12 and ’40) Transit Trips To/From/Within CoCs vs. Citywide
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 31
Source: SF-CHAMP 4.3
80% 81%
10% 9%
10% 10%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Communities of Concern Citywide
Crowding Experienced by CoC Transit
Riders, 2012 Morning Peak
Overcapacity
Crowded
Uncrowded
63% 66%
19% 18%
18% 16%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Communities of Concern Citywide
Crowding Experienced by CoC Transit
Riders, 2040 Morning Peak
Overcapacity
Crowded
Uncrowded
PE
RF
OR
MA
NC
E
Average Transit Travel Time (2012 AM Peak) Geographic pattern: Southern, western edges see longest times
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 32
Source: SF-CHAMP 4.3
PE
RF
OR
MA
NC
E
Summary: Transportation System Performance
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 33
Metric Significantly Worse than City Avg Significantly Better than City Avg
Transit Operating Speeds Downtown*
North Beach/Chinatown
Bayshore*
Hill Districts
Noe/Glen/Bernal
Transit Reliability Richmond
SoMa
Downtown
North Beach/Chinatown
AM-Peak Transit Crowding
Experienced by Trip Origin
Bayshore*
Noe/Glen/Bernal
Richmond
Sunset
Western Market
Downtown*
Marina/Northern Heights
*Significant concentration of communities of concern
PE
RF
OR
MA
NC
E
Summary: Transportation System Performance
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 34
Metric Significantly Worse than City Avg Significantly Better than City Avg
Travel Time to Popular
Destinations
Bayshore*
Outer Mission*
Sunset
Downtown*
Marina/Northern Heights
North Beach/Chinatown
Noe/Glen/Bernal
SoMa*
Western Market
Vehicle Miles Traveled Bayshore*
Hill Districts
Noe/Glen/Bernal
Outer Mission*
Sunset
Western Market
Downtown*
Marina/Northern Heights
North Beach/Chinatown
SoMa*
Western Market
*Significant concentration of communities of concern
PE
RF
OR
MA
NC
E
Conclusions
• Transportation system performance shows geographic disparities on
most metrics
• Socioeconomic disparities most pronounced for safety metrics
• All metrics have some kind of geographic component – some based
on land use/geography, some rooted in other reasons
• Differences in geographic location of CoCs mask some system-
performance deficiencies in the Bayshore neighborhood
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 35
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA |
www.facebook.com/MoveSmartSF
SFTP Equity Analysis
April 15, 2013
Socioeconomic and Geographic Disparities in our
Current and Future Transportation System
High-Level Findings Safety Metrics
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 37
Metric Socioeconomic Disparity Notes
Pedestrian Safety Injuries concentrated in highest-
density districts, many of which are
CoCs
Bike Safety Injuries concentrated in highest-
density districts, many of which are
CoCs
Street/Transit Crime Highest-crime areas concentrated in
CoCs
Air-Quality Impacts Concentrations around elevated
freeways, high-volume northeastern
streets
Major Trends Small/No Trends
Note: For every metric, there are geographic trends and/or disparities that either
A. Are expected because of land-use decisions made ages ago or
B. Indicate an inequity rooted in other reasons, opening the potential for a policy/investment response.
High-Level Findings Transportation Network Quality Metrics
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 38
Metric Socioeconomic Disparity Notes
Access to Muni
Rapid
Concentrations of lower-access
areas in lower-density
southern/western areas
Access to Regional
Transit
Major gaps in access in Sunset,
Richmond, and southeast/
southwest edges of the city
Transfer Rate to
Popular Destinations
Most transfers needed in the
southern and western parts of the
city
Pavement Quality Concentration of best conditions in
northeast core, worst conditions in
dense core-adjacent districts
Major Trends Small/No Trends
Need a good dataset:
• Pedestrian Network
Quality
Still working on
methodology:
• Access to Bike
Network
• Access to Owl Network
Note: For every metric, there are geographic trends and/or disparities that either
A. Are expected because of land-use decisions made ages ago or
B. Indicate an inequity rooted in other reasons, opening the potential for a policy/investment response.
High-Level Findings Transit Performance Metrics
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 39
Metric Socioeconomic Disparity Notes
Transit Speeds Transit speeds lowest in densest
districts, many of which are CoCs
Transit Reliability Small differential in speeds is not
necessarily indicative of speedy
service
AM-Peak Transit
Crowding
Crowding most affects residents of
Western Market, outlying districts
Travel Time to
Popular Destinations
Concentrations of longest travel
times in the southern and western
parts of the city
Vehicle Miles
Traveled
Concentrations of lowest VMT levels
in dense, central districts; highest
VMT levels in lower-density areas
Major Trends Small/No Trends
Need a good dataset:
• Transportation
Affordability
Note: For every metric, there are geographic trends and/or disparities that either
A. Are expected because of land-use decisions made ages ago or
B. Indicate an inequity rooted in other reasons, opening the potential for a policy/investment response.
Bayshore Downtown Marina/N. Hts N. Beach/Chntwn
Ped Safety (Total)
Ped Safety (Rate)
Bike Safety
Crime
Air Quality
Rapid Network
Regional Network
Transfer Rate
Pavement Conditions
Transit Speeds
Transit Reliability
Transit Crowding
Travel Time
Vehicle Miles Traveled
Summary: Geographic Equity Districts that Perform Worst and Best
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 40
Significantly Worse than
Citywide Average
Significantly Better than
Citywide Average
Overrepresented in Best and
Worst Categories
Communities of Concern Metropolitan Transportation Commission Definition
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 41
Disadvantage Factor % Regional Population Concentration Threshold*
Minority Population
(any racial/ethnic minority)
54% 70%
Low-Income Population
(<200% of Poverty)
23% 30%
Limited-English Proficiency Pop 9% 20%
Zero-Vehicle Households 9% 10%
Seniors 75 and Over 6% 10%
Population with Disability 18% 25%
Single-Parent Families 14% 20%
Cost-Burdened Renters 10% 15%
Source: Metropolitan Transportation Commission (2012), Plan Bay Area Equity Analysis Methodology
*Thresholds are all between the regional mean and one standard deviation above the mean
San Francisco Communities of Concern What Criteria Each Area Meets
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 42
Source: Metropolitan Transportation Commission (2012), Plan Bay Area Equity Analysis Methodology
CoC Low-
Income
Minority LEP Senior Zero-
Vehicle
Single-
Parent
Disabled Rent
Burden
Richmond
W. Addition
Tenderloin
Chinatown
SoMa
Mission Bay
Mission
Bayvw/HP
Vis Valley
Outer Mission
Crocker-Amz
Ocean View
Treasure Is.
Communities of Concern: Total Crime Incidents
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 43
Sources:
Tract Populations: American Community Survey, 2009
Crime (2012-13): data.sfgov.org/Public-Safety/SFPD-Reported-Incidents-2003-to-Present/dyj4-n68b
SA
FET
Y
Communities of Concern: Crime Rate
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 44
Sources:
Tract Populations: American Community Survey, 2009
Crime (2012-13): data.sfgov.org/Public-Safety/SFPD-Reported-Incidents-2003-to-Present/dyj4-n68b
SA
FET
Y
Potential Roadway Particulate Exposure
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 45
Source: San Francisco Department of Public Health (2008)
SA
FET
Y
Regional Transit Network Access Major gaps in direct access on west side, far southeast
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 46
QU
ALIT
Y
Access to Regional System by CoC Status Better access from CoC zones
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 47
16%
12%
19%
23%
31%
52%
17% 15%
11%
6%
0%
10%
20%
30%
40%
50%
60%
None Few Several Many Most
Per
cen
t of Z
on
es in
So
cio
eco
no
mic
Ca
tego
ry
Connections to Regional Bus and Rail System
In COC
Outside COC
QU
ALIT
Y
AM Peak: Muni Speeds Slowest speeds concentrated in downtown
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 48
Source: SFMTA Automatic Vehicle Locator Data
Data preparation credit: Eric Fisher
PE
RF
OR
MA
NC
E
AM Peak: Muni Speed Variability Consistent but slow service downtown, variability on arterials
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 49
Source: SFMTA Automatic Vehicle Locator Data
Data preparation credit: Eric Fisher
PE
RF
OR
MA
NC
E
10%
1%
4%
1%
-8%
2% 4%
2%
11%
3% 3%
13% 9%
7%
10%
12% 15%
27%
12%
12%
6%
6%
3%
18%
8%
6%
-10%
-5%
0%
5%
10%
15%
20%
25%
30%
Change in Passenger Hours in Crowded/Overcapacity Conditions, 2012-2040
Change in Overcapacity
Change in Crowded
Increase in Crowding by Origin District (2012-40)
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 50
Source: SF-CHAMP 4.3
PE
RF
OR
MA
NC
E
Change in Average Transit Trip Time (2012-40) Notable improvement along T-3rd and Geary Corridors
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 51
Source: SF-CHAMP 4.3
PE
RF
OR
MA
NC
E
2012: Vehicle Miles Traveled by Household Clusters of high VMT in south and west
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 52
PE
RF
OR
MA
NC
E
2040: Vehicle Miles Traveled by Household Similar pattern, with higher VMT across the board
www.sfcta.org/MoveSmartSF | twitter.com/SanFranciscoTA | www.facebook.com/MoveSmartSF 53
PE
RF
OR
MA
NC
E
Recommended