Estimation of origin-destination matrices for a multimodal public transit network

K. I. Wong, S. C. Wong, C. O. Tong, Hing Keung William Lam, H. K. Lo, H. Yang, H. P. Lo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

15 Citations (Scopus)


This paper presents a procedure for the estimation of origin-destination (O-D) matrices for a multimodal public transit network. The system consists of a number of favored public transit modes that are obtained from a modal split process in a traditional four-step transportation model. The demand of each favored mode is assigned to the multimodal network, which is comprised of a set of connected links of different public transit modes. An entropy maximization procedure is proposed to simultaneously estimate the O-D demand matrices of all favored modes, which are consistent with target data sets such as the boarding counts and line segment flows that are observed directly in the network. A case study of the Hong Kong multimodal transit network is used to demonstrate the effectiveness of the proposed methodology.
Original languageEnglish
Pages (from-to)139-168
Number of pages30
JournalJournal of Advanced Transportation
Issue number2
Publication statusPublished - 1 Mar 2005


  • Entropy maximization
  • Multimodal public transit network
  • Origin-destination matrix estimation

ASJC Scopus subject areas

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management


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