A STATED CHOICE APPROACH TO DEVELOPING MULTI-FACETED MODELS OF ACTIVITY BEHAVIOR

The majority of existing activity-based models have been developed from revealed preference data. This paper introduces an approach to developing activity-based models from stated preference data. The focus is on activity behavior as a multi-facet choice process to decide where and in what sequence to conduct activities. A design strategy is developed to generate choice experiments that allow the estimation of multi-facet models of activity behavior. The results of an empirical application are provided. The findings and results obtained indicate that the proposed approach does provide a stated preference alternative to the revealed preference approach in developing multi-facet models of activity behavior.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Corporate Authors:

  Elsevier

  The Boulevard, Langford Lane
  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Wang, D A
  • Borgers, A
  • Oppewal, Harman
  • Timmermans, H
• Publication Date: 2000-11

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 625-643
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 34
  • Issue Number: 8
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Activity choices; Empirical methods; Revealed preferences; Stated preferences; Travel behavior; Travel patterns; Trip purpose
• Uncontrolled Terms: Multi-facet activity models
• Subject Areas: Highways; Planning and Forecasting; Society; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00800339
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Oct 6 2000 12:00AM