A stochastic model for combined activity/destination/route choice problems

Hai Jun Huang, Hing Keung William Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

18 Citations (Scopus)

Abstract

In travel behavior modeling, an important topic is to investigate what drives people to travel. A systematic analysis should examine why, where and when various activities are engaged in, and how activity engagement is related to the spatial and institutional organization of an urban area. In view of this, this paper presents a stochastic model for solving the combined activity/destination/route choice problem. It is a time-dependent model for long-term transport planning such as travel demand forecasting. The activity/destination choices are based on multinomial logit formulae and, the route choice is governed by stochastic user equilibrium principle. The solution algorithm is proposed together with a numerical example for demonstration. It is shown that the proposed modeling approach provides a powerful tool for fully understanding and predicting the complex travel behavior at strategic level.
Original languageEnglish
Pages (from-to)111-125
Number of pages15
JournalAnnals of Operations Research
Volume135
Issue number1
DOIs
Publication statusPublished - 1 Jan 2005

Keywords

  • Combined activity/destination/route choice
  • Multinomial logit formula
  • Stochastic user equilibrium
  • Travel behavior modeling

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Management Science and Operations Research

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