01089217

Component

Utilizing a latent class cluster analysis, this paper investigates spatial and social and economic determinants of the joint distribution among travel time, mode choice, and departure time for work using the 2000 Census long form data. Through a latent tree structure analysis, age, residential location, immigration stage, gender, personal income, and race are found to be the primary determinants in the workplace commute decision-making process. By defining several relatively homogeneous population segments, the likelihood of falling into each segment is found to differ across age groups and geography, with different indicators affecting each group differentially. This analysis complements past studies that used regression models to investigate socio-demographic indicators and their impact on travel behavior in two distinct ways: a) analyses is done by considering travel time, mode choice, and departure time for work simultaneously, and b) heterogeneity in behavior is accounted for using methods that identify different groups of behavior and then their determinants. Conclusively the method here is richer than many other methods used to study the ethnically diverse population of California and shows the addition of geographic location and latent segment identification to greatly improve our understanding of specific behaviors.

01084478

08-0618

English

19p

2008

Transportation Research Board 87th Annual Meeting

DVD

Figures (5) ; Maps (1) ; References (9) ; Tables (2)

Behavior; Cluster analysis; Commuting; Departure time; Gender; Geography; Immigrants; Mode choice; Socioeconomic areas; Travel time; Workplaces

California

Economics; Geotechnology; Highways; Planning and Forecasting; Safety and Human Factors; Society; I10: Economics and Administration; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2008 Paper #08-0618

TRIS, TRB

Jan 29 2008 2:56PM