PREDICTING MULTI-FACETED ACTIVITY-TRAVEL ADJUSTMENT STRATEGIES IN RESPONSE TO POSSIBLE CONGESTION PRICING SCENARIOS USING AN INTERNET- BASED STATED ADAPTATION EXPERIMENT

This paper reports the estimation of several discrete choice models describing reactions of individuals to congestion pricing scenarios. The models were estimated on data obtained in a stated adaptation experiment that was administered through the Internet and designed to examine how individuals adjust their activity-travel patterns. An activity-based approach is used meaning that all choice facets of activity patterns are taken into account as well as a complete set of activities. Estimates of price elasticity of travel demand are in line with other findings reported in the literature. Results of the stated adaptation experiment suggest that changing route or departure time is the most important way of adapting work trips, whereas public transport and working at home play a more limited role. For non-work activities changing route and switching to bike are the dominant responses

• Supplemental Notes:
  • Publication Date: 2003. Transportation Research Board, Washington DC. Remarks: Paper prepared for presentation at the 82nd annual meeting of the Transportation Research Board, Washington, D.C., January 2003. Format: CD ROM
• Corporate Authors:

  University of California, Berkeley

  California PATH Program, Institute of Transportation Studies
  Richmond Field Station, 1357 South 46th Street
  Richmond, CA  United States  94804-4648

  California Department of Transportation

  1120 N Street
  Sacramento, CA  United States  95814

  University of California, Berkeley

  Department of Electrical Engineering and Computer Sciences
  Berkeley, CA  United States  94720
• Authors:
  • Arentze, Theo
  • Hofman, Frank
  • Timmermans, Harry J P
• Conference:
  • Transportation Research Board 82nd Annual Meeting
  • Location: Washington DC, United States
  • Date: 2003-1-12 to 2003-1-16
• Date: 2003

Language

• English

Media Info

• Pagination: 18 p.

Subject/Index Terms

• TRT Terms: Road pricing; Travel behavior; Travel demand management
• Subject Areas: Finance; Policy;

Filing Info

• Accession Number: 00944336
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH, STATEDOT
• Created Date: Jul 3 2003 12:00AM