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Understanding Transit-dependent Riders in the Portland Metro Area Preliminary Findings. Dr. Jennifer Dill and Dr. Lisa Bates, Principal Investigators. Overview. How do we conceptualize transit dependence as a continuum? How do these categories compare to important equity analysis groups? - PowerPoint PPT Presentation
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Understanding Transit-dependent Riders in the Portland Metro AreaPreliminary Findings
Dr. Jennifer Dill and Dr. Lisa Bates, Principal Investigators
Overview
• How do we conceptualize transit dependence as a continuum?– How do these categories compare to important
equity analysis groups?• How do travel patterns differ across mobility
groups?– What do these differences imply for measuring
accessibility and considering equity?• What’s the housing-land use connection?
Mobility transit dependence
• Concept mapping based on– Household: car ownership
• Income implies choice (150% poverty)– Individual: driver status
• Youth and disability are factors
Disability Disability Disability
Portland area data
• Oregon Household Activity Survey (OHAS) 2011
• TriMet Origins + Destinations Survey (OD) 2012
• TriMet fare survey on board 2012
OHAS TriMetOD
Disabled_Dependent 1% 9%
Disabled_Disadvantaged 2% 3%
Disabled_Mobile 4% 3%
Impoverished_Dependent 2% 13%
Impoverished_Disadvanaged 2% 6%
Impoverished_Mobile 9% 12%
Choice_Dependent 2% 12%
Choice_Disadvantaged 2% 7%
Choice_Mobile 57% 28%
Youth_Dependent 40% 1%
Youth_Disadvantaged 16% 5%
Youth_Mobile 1% 1%n 8631 255662
Mobility groups in survey samples
Transit dependence and civil rights analysis: Race/ethnicity
Transit Dependent Transportation Disadvantaged Mobile TriMet District Population0%
100%
39% 36%
22%27%
61% 64%
78%73%
People of color and transit dependence2011 Oregon Household Activity Survey
White
Ppl of Color
Transit dependence and civil rights analysis: Race/ethnicity
OHAS sample
OHAS POC
OHAS White
6
9
5
22
30
19
72
61
76
Transit Dependent Transportation DisadvantagedMobile
Transit dependence and civil rights analysis: Low income
Transit
Depen
dent
Transporta
tion Disadvan
taged
Mobile
TriMet
Distric
t Populati
on0%
100%
51%
28%14% 13%
49%
72%86% 87%
Low income and transit dependence2011 Oregon Household Activity Survey
At or below 150% poverty Above 150% poverty
OD survey• 44% of trips
are very low income riders
• 14% of trips are very low income and transit dependent
ARE TRANSIT-DEPENDENT RIDERS WELL SERVED GIVEN THEIR NEEDS?
Travel patterns by mobility group
Travel patterns:Time spent traveling
Travel patterns:Time spent traveling
Transit Dependent Transportation Disadvantaged
"Choice" Poor / PWD "Choice" Poor/ PWD
Avg trips/day 7 5 4 3
Transit riders
Travel time minutes/day 112 111 105 125
Travel distance Miles 20 14 17 25
OHAS 2011
Poor drivers travel twice the distance of poor transit riders, in the same amount of time
Travel patterns: Transfers
Choice Dependent
Choice Mobile
Poor Dependent
Poor Mobile
72%
83%
67%
76%
25%
16%
28%
21%
3%
1%
5%
3%
Onboard fare survey 2012 0 transfers 1 transfer 2 or more transfers
• Commute?– Mobile travel more during morning peak– Poor transit dependent riders and Persons with disability
much less often going to work• Poor trans disadvantaged, poor mobile and choice mobile most often going to
work
• Non-work activities– Poor and disabled dependent and disadvantaged adults are
twice as often traveling with a child compared to choice riders
– PWD shopping, medical appointments
Travel patterns:Time of Day, Destinations
“The” equity question? considering a Title VI/EJ analysis compared with a transit dependence analysis
• Better serving those currently dependent on transit?
• Or creating system that makes it possible for current drivers to depend on transit?
Measuring accessibility by transit – salience for specific populations?Transit access to family wage jobs (60 min or less travel time)Family-wage jobs are defined by the Institute of Portland Metropolitan Studies as the income level needed to support one adult, one preschooler, and one school age child. The income level varies by the county of residence: Clark ($48,172), Clackamas ($54,343), Washington ($58,915), and Multnomah ($47,244).
When is a transit equity problem not a transit problem?
OD 2012 home locations of riders
Zoom in on west side/ Washington County
OD 2012 home locations of riders
When is a transit equity problem not a transit problem?
Implications – Next steps
• Transit dependent or able to depend on transit?
• Accessibility by transit – for whom?• The housing - land use challenge