transit service quality and transit use: tbot, task 5
DESCRIPTION
Transit Service Quality and Transit Use: TBOT, Task 5. “Did the relationship between transit service quality and transit use change between 2000 and 2010?”. Trip-Level Model. Methods: Explain transit use in both years Function of service, built environment, social characteristics - PowerPoint PPT PresentationTRANSCRIPT
Transit Service Quality and Transit Use:
TBOT, Task 5
“Did the relationship between transit service quality and transit use change between 2000 and 2010?”
Trip-Level Model
Methods:• Explain transit use in both years
– Function of service, built environment, social characteristics
– Probability an individual trip will include a transit leg.
• Test for structural breaks
Year Total 7-CountyTransit
Served*
Served, used
transitIn
model
In model, used
transit
2000 56,811 34,593 23,435 494 20,321 438
2010 115,821 94,645 55,203 1,809 45,940 1,541
• Transit not an option everywhere.• Focus on trips with origin and
destination ≤ 0.5 mi from transit stop.
Year Total 7-CountyTransit
Served*
Served, used
transitIn
model
In model, used
transit
2000 56,811 34,593 23,435 494 20,321 438
2010 115,821 94,645 55,203 1,809 45,940 1,541
• Transit not an option everywhere.• Focus on trips with origin and
destination ≤ 0.5 mi from transit stop.
Descriptive Analysis of Trips
Work School Utilitarian Personal
Non Utilitar-ian Personal
Home0%5%
10%15%20%25%30%35%40%
Destination Activities
Transit 2000
Transit 2010
Descriptive Analysis of Trips
< 18 18-39 40-64 65+0%
10%
20%
30%
40%
50%
60% Tripmaking Rates by Age
Transit Trips 2000Transit Trips 2010All Trips 2000
Descriptive Analysis of Trips
Vehicles/drivers >=
1 2000
Vehicles/drivers >=
1 2000
Vehicles/drivers >= 1 2010
Vehicles/drivers >= 1 2010
Vehicles/drivers < 1 2000
Vehicles/drivers < 1 2000
Vehicles/drivers < 1 2010
Vehicles/drivers < 1 2010
Did not use transitUsed transit
1%2%
7%10%
Trip ModelVariables
Personal/
Household
Characteristics
Age
Trip Characteristics
Origin Area Characteristics
Gender Destination Area Characteristics
Household Characteristics Trip Characteristics
Economic Characteristics Purpose
Vehicle Access Weather
Trip ModelResults
(Person/HouseholdCharacteristics)
Odds Ratio
Variable (with unit) 2000 2010
Age<18 yrs old (binary) 0.3324 * 0.1087 ***
40-64 yrs old (binary) 0.8520 1.0492 65+ years old (binary) 0.7097 0.6345 ***
Gender Female (binary) 1.1504 0.9723 Household
CharacteristicsOne-person household (binary) 1.2144 1.1439 Children in household (binary) 0.5396 *** 1.0722
Economic Characteristics
Worker (binary) 1.5814 1.1825 Student (binary) 1.1006 1.5829 ***
Household income (1) 0.9549 0.9159 ***
Vehicle Access Licensed driver (binary) 0.1822 *** 0.2273 Household vehicles/household drivers (1) 0.1436 *** 0.2880 ***
Constant 0.1572 * 0.5566
legend: * p<.1; **p<.05; *** p<.01
Trip ModelResults
(Trip Characteristics)
Odds Ratio Variable (with unit) 2000 2010
Origin Area Characteristics
Population density at origin (people/sq. kM) 1.0111 0.9905 Percent white residents at origin (people/sq. kM) 1.7468 0.9264 Retail area at origin (%) 0.1925* 6.8154***Office/institutional area at origin (%) 1.8572 4.3505***Origin stop distance (mi) 0.3360 0.2035***30-minute transit accessibility at origin (1K jobs) 1.0068*** 1.0051***
Destination Area
Characteristics
Population density at destination (people/sq. kM) 1.0448*** 0.9976 Percent white residents at destination (people/sq. kM) 2.0932 0.9605 Retail area at destination (%) 1.9482 5.3636***Office/institutional area at destination (%) 0.4424 3.1296***Destination stop distance (mi) 0.3453 0.3370***30-minute transit accessibility at destination (1K jobs) 1.0041** 1.0039***
Trip Characteristics
Network distance <=0.5mi (binary) 0.2271*** 0.0383***Network distance >0.5mi, <=2mi (binary) 0.3461*** 0.2672***Mid-day departure (binary) 0.3257*** 0.5027***PM peak departure (binary) 0.5992*** 0.7785***Evening departure (binary) 0.0815*** 0.3017***
Purpose
School destination activity (binary) 0.8996 1.0456 Utilitarian personal destination activity (binary) 0.7950 0.4511***Non-utilitarian personal destination activity (binary) 0.3281*** 0.4474***Home destination activity (binary) 1.2244 1.1822 Home-based trip (binary) 0.9549 1.4449***
WeatherAverage temperature on travel day (degrees F) 1.0104 0.9987 Rain (binary) 1.2278 0.9500 Snow (binary) 0.4961 1.1229
Constant 0.1572* 0.5566 legend: * p<.1; **p<.05; *** p<.01
Trip Model Conclusions
• No change in relationship between transit service, transit use.
• Change in relationship of automobile access, transit use.
• Potential broadening of appeal for transit.
• Speaks to importance of promoting/enabling car-shedding.
Thank you.
Andrew Guthrie Yingling Fan