ESTIMATION OF SWITCHING MODELS FROM REVEALED PREFERENCES AND STATED INTENTIONS

This paper proposes a methodology for modeling switching behavior using simultaneously cross-sectional revealed preference (RP) data and stated intentions, a type of stated preference (SP) data. With explicit consideration of biases and random errors potentially contained in SP data, combined estimation with RP and SP data can exploit the advantages of both data sources. An empirical analysis of commuters' mode choice shows that the stated intention data have predictive validity if their biases and errors are properly corrected.

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

  Pergamon Press, Incorporated

  Headington Hill Hall
  Oxford OX30BW,    
• Authors:
  • Ben-Akiva, Moshe
  • Morikawa, T
• Publication Date: 1990-11

Media Info

• Features: References; Tables;
• Pagination: p. 485-495
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 24A
  • Issue Number: 6
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Bias (Statistics); Commuters; Consumer behavior; Consumer preferences; Empirical methods; Error analysis; Mode choice; Switching
• Uncontrolled Terms: Data
• Old TRIS Terms: Modal selection; Random error
• Subject Areas: Highways; Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 00612520
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Aug 31 1991 12:00AM