FORECASTING INTERCITY RAIL RIDERSHIP USING REVEALED PREFERENCE AND STATED PREFERENCE DATA

A methodology for incorporating revealed preference (RP) and stated preference (SP) data in discrete choice models is presented. The methodology is applied to intercity travel mode choice analysis. New mode shares for each origin-destination pair resulting from changes in service levels are predicted. The combined estimation technique with RP and SP data is developed to promote advantages of the two complementary data sources. The empirical study of intercity travel demand demonstrates the practicality of the methodology by accurately reproducing observed aggregate data and by applying a flexible operational prediction method.

Media Info

  • Features: References; Tables;
  • Pagination: p. 30-35
  • Monograph Title: Travel demand forecasting: new methodologies and travel behavior research, 1991
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00622240
  • Record Type: Publication
  • ISBN: 0309051614
  • Files: TRIS, TRB
  • Created Date: May 31 1992 12:00AM