Transit Service Quality and Transit Use: TBOT, Task 5.

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Presentation transcript:

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

YearTotal7-County Transit Served* Served, used transit In model In model, used transit ,81134,59323, , ,82194,64555,2031,80945,9401,541 Transit not an option everywhere. Focus on trips with origin and destination ≤ 0.5 mi from transit stop.

YearTotal7-County Transit Served* Served, used transit In model In model, used transit ,81134,59323, , ,82194,64555,2031,80945,9401,541 Transit not an option everywhere. Focus on trips with origin and destination ≤ 0.5 mi from transit stop.

Descriptive Analysis of Trips

1% 2% 7% 10%

Trip Model Variables Personal/ Household Characteristics Age Trip Characteristics Origin Area Characteristics GenderDestination Area Characteristics Household CharacteristicsTrip Characteristics Economic CharacteristicsPurpose Vehicle AccessWeather

Trip Model Results (Person/Household Characteristics) Odds Ratio Variable (with unit) Age <18 yrs old (binary)0.3324*0.1087*** yrs old (binary) years old (binary) *** Gender Female (binary) Household Characteristics One-person household (binary) Children in household (binary)0.5396*** Economic Characteristics Worker (binary) Student (binary) *** Household income (1) *** Vehicle Access Licensed driver (binary)0.1822*** Household vehicles/household drivers (1)0.1436***0.2880*** Constant0.1572* legend: * p<.1; **p<.05; *** p<.01

Trip Model Results (Trip Characteristics) Odds Ratio Variable (with unit) Origin Area Characteristics Population density at origin (people/sq. kM) Percent white residents at origin (people/sq. kM) Retail area at origin (%)0.1925*6.8154*** Office/institutional area at origin (%) *** Origin stop distance (mi) *** 30-minute transit accessibility at origin (1K jobs)1.0068***1.0051*** Destination Area Characteristics Population density at destination (people/sq. kM)1.0448*** Percent white residents at destination (people/sq. kM) Retail area at destination (%) *** Office/institutional area at destination (%) *** Destination stop distance (mi) *** 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) Utilitarian personal destination activity (binary) *** Non-utilitarian personal destination activity (binary)0.3281***0.4474*** Home destination activity (binary) Home-based trip (binary) *** Weather Average temperature on travel day (degrees F) Rain (binary) Snow (binary) Constant0.1572* 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 GuthrieYingling Fan