Modelling urban location and travel choices in path flow estimator

Yu Gu, Anthony Chen, Guoyuan Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This study extends the path flow estimator (PFE) model to integrate both urban location and travel choices to account for the relationship between land use and transportation planning for urban development. Location and travel choices are consistently modelled based on the random utility theory. Multiple data sources (e.g., observed data and/or transportation and land use data) can be utilized to estimate or predict link and zone flows in the current or future networks. A mathematical programming problem is formulated based on the system equation of the integrated PFE model. Numerical examples are conducted to illustrate the application of the proposed model.

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019
Subtitle of host publicationTransport and Smart Cities
EditorsAndy H.F. Chow, S.M. Lo, Lishuai Li
PublisherHong Kong Society for Transportation Studies Limited
Pages295-301
Number of pages7
ISBN (Electronic)9789881581488
Publication statusPublished - 1 Jan 2010
Event24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019 - Hong Kong, Hong Kong
Duration: 14 Dec 201916 Dec 2019

Publication series

NameProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019: Transport and Smart Cities

Conference

Conference24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019
CountryHong Kong
CityHong Kong
Period14/12/1916/12/19

Keywords

  • Accessibility
  • Path flow estimator
  • Stochastic user equilibrium
  • Urban location and travel choices

ASJC Scopus subject areas

  • Building and Construction
  • Information Systems
  • Civil and Structural Engineering
  • Transportation
  • Computer Networks and Communications

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