Comparatively little work has been done on utilizing the abstract modes approach, first pioneered by Quandt and Baumol, in an intrametropolitan travel demand forecasting effort. This is surprising because of the method's great flexibility. As urban transportation planning becomes evermore concerned with a variety of para-transit modes as well as the electric transport systems management policies, more powerful travel demand forecasting tools are required for effective planning. We augment the original model to include "second best" characteristics as predictor variables. This innovation is quite important because the urban situation is characterized by auto remaining "best" in most planning situations. Thus, demand changes can only be seen as a response to changes in some "second best" mode characteristic. Other minor innovations are also explored and the model is applied to a data file available from a survey of travel behavior in East Los Angeles, a predominantly mexican-american community. Despite the usual statistical problems, the results are seen to be useful to transportation planners who seek to reach a recommendation on the best transit/para-transit mix for that community.(a) /TRRL/

  • Availability:
  • Corporate Authors:

    Pergamon Press, Incorporated

    Headington Hill Hall
    Oxford OX30BW,    
  • Authors:
    • Gordon, P
    • Williams, C S
    • Theobald, P M
  • Publication Date: 1979-2

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00301954
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Report/Paper Numbers: HS-025 866
  • Files: ITRD, TRIS
  • Created Date: Dec 19 1981 12:00AM