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Can Aggregate Direct Travel Demand Models Work?

Author

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  • Dagenais, M.G.
  • Gaudry, M.J.I.

Abstract

Applications of Aggregate Spatial Direct Demand Models to Interzonal Urban Transportation Are Not Frequently Found in the Literature. This Is No Doubt Due to the Difficulties Encountered in Calibrating Such Models. They Are Therefore Seldom Used by Researchers. the Purpose of This Paper Is to Suggest That Adequate Parameter Interpretation of the Network Variables and Appropriate Functional Form Selection May Produce Satisfactory Results. Our Proposition Is Illustrated by an Application to the Demand for Interzonal Work Trips, by Car and Public Transit, in Metropolitan Montreal. Moreover, Comparisons of Results Obtained in the Usual Way by Neglecting the Null Observations of the Origin-Destination Matrix Indicates That These Are Much Less Efficient Than Results Obtained by Taking Them Into Account.

Suggested Citation

  • Dagenais, M.G. & Gaudry, M.J.I., 1986. "Can Aggregate Direct Travel Demand Models Work?," Cahiers de recherche 8603, Universite de Montreal, Departement de sciences economiques.
    • Handle: RePEc:mtl:montde:8603
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    Cited by:

    1. Yan, Xiang & Liu, Xinyu & Zhao, Xilei, 2020. "Using machine learning for direct demand modeling of ridesourcing services in Chicago," Journal of Transport Geography, Elsevier, vol. 83(C).

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