The report examines a number of modal split models for intercity travel forecasting to determine their relative characteristics and modal share estimating capabilities for selected cases. The following calibrations of the Cross-Elasticity Model are considered: CN22, CN25, CN26, CN27, CN28B, HSGT, and SRI along with the PML abstract mode model. Using recent and more reliable travel data, the models are evaluated in terms of their ability to replicate the observed travel patterns and in terms of their implied elasticities for the rail model. Model CN27 was selected as the best overall model among those tested. This model is stratified by purpose, however, which creates a data requirement that cannot always be reliably fulfilled. Thus, the unstratified Model CN22--the second best among those tested--is recommended for use when base year travel data on trip purpose is unavailable.

  • Corporate Authors:

    Peat, Marwick, Mitchell and Company

    1025 Connecticut Avenue, NW
    Washington, DC  United States  20036

    Federal Railroad Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Bennett, J C
    • Prokopy, J C
    • Ellis, R H
  • Publication Date: 1973-7

Media Info

  • Pagination: 64 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00091564
  • Record Type: Publication
  • Source Agency: National Technical Information Service
  • Report/Paper Numbers: Final Rpt.
  • Contract Numbers: DOT-FR-20005
  • Files: NTIS, TRIS, USDOT
  • Created Date: Aug 13 1982 12:00AM