Attitudes, mode switching behavior, and the built environment: A longitudinal study in the Puget Sound Region

Tingting Wang, Cynthia Chen, 2012, in Travel Behavior

doi:nan
Location Four counties in the state of Washington: King, Kitsap, Pierce, and Snohomish counties
Population Other (specify)
Sample size 2221
Factor analysis type principal components, nan rotation
Stepwise regression no
Removal of insignificant variables no
Reviewed by KB

Abstract

Carpooling in the US has a storied history. After experiencing a peak 20% mode share in 1980, the current share of carpooling for work trips is about 10% and the majority of these carpooling trips are made by intra-household members. Casting the choice between SOV and carpool as a social dilemma in which SOV is a noncooperative choice and carpool is a cooperative one, we propose to test two hypotheses. First, the switch from SOV to carpool and the reverse choice are attributed to different factors—structural factors, or those factors altering the objective features of a decision scenario such as travel time and travel cost, play a dominant role in the switch from carpool to SOV while psychosocial factors (attitudes and beliefs) play a critical role in the switch from SOV to carpool. Second, the two choices are underlay by different behavioral mechanisms. In particular, we expect self-justification by carpool-to-SOV switchers—after they switch from carpool to SOV, they adjusted their attitudes toward carpool accordingly to match their behavior. The analysis of the first three waves of the Puget Sound Transportation Panel supports these two hypotheses. Our study results recommend developing programs and policies that aim at influencing people’s subjective assessments of carpooling, in addition to the existing ones that mostly focus on incentivizing carpooling, and differentiating between programs seeking to encourage SOV users to switch to carpool and those aiming to maintain existing carpoolers.

Factors

Models

Source variable Target variable Effect p-value Effect type
Demand for switching to SOV Change in COMP1—change in the perceived difficulty of carpool (Component 1) 1.273 <0.05 direct_effect
Change in NUMEMP is the change in the number of the employed in a household Demand for switching to SOV -0.319 <0.05 direct_effect
Change in AVRVEH is the change in the number of vehicles per person Demand for switching to SOV 0.258 <0.05 direct_effect
Change in LNEMPDEN is the log form of change in the employment density at workplace TAZ Demand for switching to SOV -0.295 <0.05 direct_effect
Change in LNPOPCEN is the log form of change in the population density at home TAZ, Demand for switching to SOV -0.321 <0.05 direct_effect
perceived difficulty of carpool Change in COMP1—change in the perceived difficulty of carpool (Component 1) -0.711 <0.05 direct_effect
feelings of carpool Change in COMP2—change in the feelings of carpool (Component 2) -0.526 <0.05 direct_effect
Change in NUMSTOP (number of stops during work tour) Demand for switching to SOV CTRL nan direct_effect
Change in income Demand for switching to SOV CTRL nan direct_effect
Commute time Demand for switching to SOV CTRL nan direct_effect
Change in number of working hours Demand for switching to SOV CTRL nan direct_effect
Change in COMP1—change in the perceived difficulty of carpool (Component 1) Demand for switching to SOV CTRL nan direct_effect
Change in COMP2—change in the feelings of carpool (Component 2) Demand for switching to SOV CTRL nan direct_effect
Demand for switching to SOV Change in COMP2—change in the feelings of carpool (Component 2) CTRL nan direct_effect
Source variable Target variable Effect p-value Effect type
Commute time Demand for switching to carpool -0.004 <0.05 direct_effect
perceived difficulty of carpool Change in COMP1—change in the perceived difficulty of carpool (Component 1) -0.579 <0.05 direct_effect
feelings of carpool Change in COMP2—change in the feelings of carpool (Component 2) -0.455 <0.05 direct_effect
Change in COMP2—change in the feelings of carpool (Component 2) Demand for switching to carpool 0.138 <0.05 direct_effect
Demand for switching to carpool Change in COMP2—change in the feelings of carpool (Component 2) CTRL nan direct_effect
Change in COMP1—change in the perceived difficulty of carpool (Component 1) Demand for switching to carpool CTRL nan direct_effect
Demand for switching to carpool Change in COMP1—change in the perceived difficulty of carpool (Component 1) CTRL nan direct_effect
Change in NUMSTOP (number of stops during work tour) Demand for switching to carpool CTRL nan direct_effect
Change in NUMEMP is the change in the number of the employed in a household Demand for switching to carpool CTRL nan direct_effect
Change in AVRVEH is the change in the number of vehicles per person Demand for switching to carpool CTRL nan direct_effect
Change in LNEMPDEN is the log form of change in the employment density at workplace TAZ Demand for switching to carpool CTRL nan direct_effect
Change in LNPOPCEN is the log form of change in the population density at home TAZ, Demand for switching to carpool CTRL nan direct_effect
Change in income Demand for switching to carpool CTRL nan direct_effect
Change in number of working hours Demand for switching to carpool CTRL nan direct_effect

The Attitudes and Travel Database is produced with support from the Center for Teaching Old Models New Tricks at Arizona State University, a University Transportation Center sponsored by the US Department of Transportation through Grant No. 69A3551747116.

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