BINARY STATION CHOICE MODELS FOR A RAIL RAPID TRANSIT LINE

Using two independent data sets, alternative binary station choice models were successfully calibrated and tested. The regression and probit models are based on a two stage decision process: first the commuter selects his mode of travel, and then, given the use of rapid transit, he chooses a station. The station choice models focus on the second stage of the decision process. The models estimate the relative frequency a station will be selected by commuters from a census block group, given a modal choice of rapid transit. This proportion is a function of the trip cost difference between that station and the next least cost station. /TRRL/

  • Corporate Authors:

    Pergamon Press, Incorporated

    Maxwell House, Fairview Park
    Elmsford, NY  United States  10523

    Pergamon Press, Incorporated

    Headington Hill Hall
    Oxford OX30BW,    
  • Authors:
    • DESFOR, G
  • Publication Date: 1975-2

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 31-41
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00125197
  • Record Type: Publication
  • Source Agency: Transport and Road Research Laboratory (TRRL)
  • Files: ITRD, TRIS
  • Created Date: Nov 18 1982 12:00AM