This report presents the results of Phase I of a study to develop improved disaggregate models of urban travel demand. Such models will form the basis for improved travel demand estimation procedures for application to specific urban transportation system planning alternatives and public policy issues. Policy-sensitive travel demand forecasting models are developed and calibrated with data from individual travelers' choices, using data from two urban aras. The resulting models are evaluated and recommendations for their implementation are discussed. Several application scenarios are presented to illustrate how the models may be applied. An extensive analysis of the Independence of Irrevelant Alternatives property of the multinomial logit model is reported. Issues in model specification and calibration and collection of data for disaggregate models are considered. The findings of the study are that disaggregate demand techniques are workable and versatile, and properly applied, can be used to analyze transportation planning issues not presently addressed by conventional approaches and deserve wider application.

  • Digital Copy:
  • Supplemental Notes:
    • Publication of Project 8-13 in 2 volumes.
  • Corporate Authors:

    Charles River Associates, Incorporated

    200 Clarendon Street, John Hancock Tower
    Boston, MA  United States  02116
  • Publication Date: 1976-2

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: 468 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00138589
  • Record Type: Publication
  • Report/Paper Numbers: Intrm Rpt.
  • Files: TRIS
  • Created Date: Sep 4 1981 12:00AM