FARE POLICIES FOR MASS TRANSIT DEFICIT CONTROL: ANALYSIS BY OPTIMIZATION

This paper reports on the analysis of a substantive problem in public policy planning. A dynamic model of demand, supply, cost and revenue relationships in the market for mass transit services in New York City is developed. This behavioral model is then placed in a deterministic optimal control framework to solve for the dynamic sequence of transit fares which optimize several plausible policy objective functions. Among the objective functions used are minimization of operating deficits and fare minimization subject to deficit constraints. The importance of multi-year planning for mass transit pricing policy is clearly established. We also present one way of describing efficient sequences of transit fares in the presence of ignorance of the policy-makers' ultimate objective function. Although the empirical results pertain to New York the analytical techniques seem to have general applicability to other mass transit systems. /Author/ /TRRL/

  • Corporate Authors:

    Pergamon Press, Incorporated

    Maxwell House, Fairview Park
    Elmsford, NY  United States  10523
  • Authors:
    • Garbade, K D
    • Soss, N M
  • Publication Date: 1976-8

Media Info

  • Features: References; Tables;
  • Pagination: p. 237-247
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00149059
  • Record Type: Publication
  • Source Agency: Transport and Road Research Laboratory (TRRL)
  • Report/Paper Numbers: Analytic
  • Files: ITRD, TRIS
  • Created Date: Jun 17 1981 12:00AM