Modeling the bilateral micro-searching behavior for Urban taxi services using the absorbing Markov chain approach

Ka-Io Wong, S. C. Wong, M. G.H. Bell, Hai Yang

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

This paper develops a mathematical model that is based on the absorbing Markov chain approach to describe taxi movements, taking into account the stochastic searching processes of taxis in a network. The local searching behavior of taxis is specified by a logit form, and the O-D demand of passengers is estimated as a logit model with a choice of taxi meeting point. The relationship between customer and taxi waiting times is modeled by a double-ended queuing system. The problem is solved with a set of non-linear equations, and some interesting results are presented. The research provides a novel and potentially useful formulation for describing the urban taxi services in a network.

Original languageEnglish
Pages (from-to)81-104
Number of pages24
JournalJournal of Advanced Transportation
Volume39
Issue number1
DOIs
StatePublished - 1 Jan 2005

Keywords

  • ROAD NETWORKS
  • ASSIGNMENT

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