A tour-based travel demand model using person trip data and its application to advanced policies

Mohamed Omer, Hyun Kim*, Kuniaki Sasaki, Kazuo Nishii

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


The shift of travel demand policies from the conventional supply oriented policies to management oriented policies has made the effectiveness of conventional models questionable. However, although the new generation travel demand models have theoretically appealing backgrounds, they have so far failed to fully attract the practitioners to apply them for practical purposes. Lack at proper understanding and wrong perceptions of the new generation models have contributed to the gap between research and practice. This paper suggests a way to incorporate the features of new generation models using ordinary PT (person trip) data, to get an optimum model. Based on this, we propose a model that captures the link among travel decisions of a day as a travel pattern. We also illustrate the practical advantages of the new generation models, comparing with conventional models, in evaluating policies by an empirical study.

Original languageEnglish
Pages (from-to)221-230
Number of pages10
JournalKSCE Journal of Civil Engineering
Issue number2
Publication statusPublished - 2010 Mar
Externally publishedYes


  • PT data
  • Tours based models
  • Travel decision linkages
  • Travel patterns
  • Travel policy analysis

ASJC Scopus subject areas

  • Civil and Structural Engineering

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