USE OF DISAGGREGATE CHOICE MODELS IN SEMI-MARKOV PROCESS MODELS OF TRIP CHAINING BEHAVIOR

This paper synthesizes two different analysis methodologies, disaggregate choice models and semi-Markov processes, to develop an operational, policy sensitive model of non-work trip chaining. The theory of each of these methods is described. A model of trip chaining is formulated. An example of the model, implemented for Rochester, New York, is presented, and conclusions regarding potentially fruitful extensions are drawn.

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

  Operations Research Society of America

  428 East Preston Street
  Baltimore, MD  United States  21202
• Authors:
  • Lerman, S R
• Publication Date: 1979-11

Media Info

• Features: References;
• Pagination: p. 273-291
• Serial:
  • Transportation Science
  • Volume: 13
  • Issue Number: 4
  • 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: Analysis; Choice models; Disaggregate analysis; Markov chains; Mathematical models; Operations research; Transportation; Travel patterns
• Old TRIS Terms: Analytical method; Disaggregate models
• Subject Areas: Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00331342
• Record Type: Publication
• Source Agency: Engineering Index
• Files: TRIS
• Created Date: Aug 15 1981 12:00AM