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.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767714
• Corporate Authors:

  Institute for Operations Research and the Management Sciences (INFORMS)

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  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
• 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