NETWORK KNOWLEDGE AND ROUTE CHOICE

In this thesis, the author reviews models of urban traveler route choice, with focus on advanced traveler information systems (ATIS). Evidence is presented indicating that a majority of travelers fail to minimize travel time or distance, and that travelers with more network knowledge appear to vary their commute route to respond to changing travel conditions. The author presents coefficient estimates of a model of network knowledge, based on the geographical idea of spatial ability. Various possible route generation algorithms are then examined in order to better understand habitual route choice behavior. A simulation approach is favored because it allows for heterogeneity in driver perceptions and it also has a quick computational time. Alternative route choice model specifications, such as multinomial logit, path size logit, and cross-nested logit are evaluated.

  • Supplemental Notes:
    • Publication Date: 2002. MIT Libraries, Cambridge MA. Remarks: Thesis (Ph. D.)--Massachusetts Institute of Technology 2002. Abstract also in: Dissertation abstracts international. B. Vol. 63, no. 2 (August 2002), p. 921. Link to UMI is for abstract only; full dissertation available only by purchase from MIT. Format: website
  • Corporate Authors:

    Massachusetts Institute of Technology

    Department of Civil Engineering, 77 Massachusetts Avenue
    Cambridge, MA  United States  02139
  • Authors:
    • Ramming, Michael Scott
  • Publication Date: 2002

Language

  • English

Media Info

  • Pagination: 1 v.

Subject/Index Terms

Filing Info

  • Accession Number: 00962338
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Sep 2 2003 12:00AM