INCORPORATING OBSERVED AND UNOBSERVED HETEROGENEITY IN URBAN WORK TRAVEL MODE CHOICE MODELING
A person's intrinsic mode preference and responsiveness to level-of-service variables affects his or her travel mode choice for a trip. Mode preference and responsiveness will, in general, vary across individuals based on observed and unobserved (to an analyst) characteristics. This paper formulates a multinomial logit-based model of travel mode choice that accommodates variations in mode preference and responsiveness to level-of-service due to both observed and unobserved individual characteristics. The model parameters are estimated using a maximum simulated log-likelihood approach. The model is applied to examine urban work travel mode choice in a multi-day sample of workers from the San Francisco Bay area.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1767714
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Corporate Authors:
Institute for Operations Research and the Management Sciences (INFORMS)
901 Elkridge Landing Road, Suite 400
Linthicum, MD United States 21090-2909 -
Authors:
- Bhat, C R
- Publication Date: 2000-5
Language
- English
Media Info
- Features: References; Tables;
- Pagination: p. 228-238
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Serial:
- Transportation Science
- Volume: 34
- Issue Number: 2
- Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
- ISSN: 0041-1655
- Serial URL: http://transci.journal.informs.org/
Subject/Index Terms
- TRT Terms: Choice models; Logits; Mode choice; Persons and personal characteristics; Quality of service; Travel behavior; Travel modes; Travel patterns; Urban areas; Urban transportation; Utility theory; Work trips
- Uncontrolled Terms: Log-likelihood approach
- Geographic Terms: San Francisco Bay Area
- Subject Areas: Economics; Highways; Society; I10: Economics and Administration;
Filing Info
- Accession Number: 00794475
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 7 2000 12:00AM