A Structural Equation Model of Activity Participation and Travel Behavior using Longitudinal Data

Abstract

This paper presents a dynamic structural equation model (SEM) that explicitly addresses complicated causal relationships among sociodemographics, activity participation, and travel behavior. the model assumes that activity participation and travel patterns in the current year are affected by those in previous years. using the longitudinal dataset collected from Puget sound transportation panel 'wave 3' and 'wave 4,' these assumptions are tested with suggested SEMs. within each wave, the model is structured to have a three-level causal relationship that describes interactions among endogenous variables under time-budget constraints. the resulting coefficients representing the activity durations indicate that people tend to allocate their time according to the importance and the obligation of the activity level. Results from the dynamic SEM confirm the fact that people's current activity and travel behavior do have effects on those in the future. the resulting model also shows that activity participation and travel behavior in 'wave 3' are closely related to those in 'wave 4.' These explicit explanations of relationships among variables could provide important perspectives in the activity-Based approach which becomes recognized as a better analytical tool for the transportation planning and policy making process. © 2009 Taylor & Francis.

Department(s)

Civil, Architectural and Environmental Engineering

Keywords and Phrases

Activity-based approach; Dynamic structural equation model; Puget Sound Transportation Panel

International Standard Serial Number (ISSN)

1029-0354; 0308-1060

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Taylor and Francis Group; Routledge, All rights reserved.

Publication Date

01 Apr 2009

Link to Full Text

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