Modeling the Bilateral Micro-Searching Behavior for Urban Taxi Services Using the Absorbing Markov Chain Approach

The paper describes a mathematical model developed to examine taxi movements, taking into account the stochastic searching processes of taxis in a network. The absorbing Markov chain approach is employed to study the problem, the local searching behavior of taxis is specified by a logit form, and the origin destination demand of passengers is estimated as a logit model with a choice of taxi meeting point. The research provides a novel and potentially useful formulation for describing the urban taxi services in a network.

  • Availability:
  • Authors:
    • Wong, K I
    • Wong, S C
    • Yang, Hai
  • Publication Date: 2005

Language

  • English

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Filing Info

  • Accession Number: 01000887
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 2 2005 5:26PM