MODELING DISAGGREGATE BEHAVIORAL MODAL SWITCHING MODELS BASED ON INTENTION DATA

The purpose of this paper is to develop a disaggregate behavioral model which directly predicts traveler's modal switching behavior due to a transport service change. Based on the random utility theory, several disaggregate modal switching models are formulated, which incorporate resistance to change in modal switching behavior. These models are estimated using stated preference data obtained from an originally designed questionnaire survey. An empirical examination shows that it is very important to incorporate state dependence effects into disaggregate modal choice models.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Corporate Authors:

  Pergamon Press, Incorporated

  Headington Hill Hall
  Oxford OX30BW,    
• Authors:
  • HIROBATA, Y
  • Kawakami, S
• Publication Date: 1990-2

Media Info

• Features: References; Tables;
• Pagination: p. 15-25
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 24B
  • Issue Number: 1
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Disaggregate analysis; Mathematical models; Modal split; Mode choice; Travel behavior
• Uncontrolled Terms: Models
• Old TRIS Terms: Disaggregate models; Modal selection
• Subject Areas: Highways; Planning and Forecasting; Public Transportation; Society;

Filing Info

• Accession Number: 00492310
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 31 1991 12:00AM