POLICY EVALUATION WITH TRAVEL BEHAVIOR MODELS: METHODOLOGICAL ISSUES AND CASE STUDIES

The purpose of this study was to test the ability of disaggregate demand models to evaluate the cost-effectiveness of a variety of transportation system improvements such as air quality transportation control plans, and recommend further improvements in demand modeling and policy evaluation. The issues raised include the ability of such models to isolate short-run from long run travel behavior, to incorporate supply side characteristics of modes, and to facilitate generation of meaningful impact measures. The study found that disaggregate demand models need to integrate information from before and after studies in order for them to more readily distinguish short run from long run effects. These models, destimated from cross-section data currently tend to overpredict the short run responsiveness of individuals to transportation system changes. The study also found that using small samples and simple network configurations, relatively accurate cost-effectiveness evaluations of various express bus and paratransit feeder systems as well as non-transit strategies such as parking, gas, or toll surcharges were possible. Disaggregate demand models were found to be versatile in accounting for the distribution of impacts in performing a cost-benefit analyses of a project. Measures of user benefit were easily obtained from these models. /Author/

  • Corporate Authors:

    Charles River Associates, Incorporated

    200 Clarendon Street, John Hancock Tower
    Boston, MA  United States  02116
  • Publication Date: 1979-1

Media Info

  • Pagination: 184 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00196322
  • Record Type: Publication
  • Source Agency: Charles River Associates, Incorporated
  • Files: TRIS
  • Created Date: Sep 15 1981 12:00AM