Modeling travel choice problems in a multimodal elastic demand transportation network with park-and-ride trips

Zhi Chun Li, Hing Keung William Lam, S. C. Wong, Dao Li Zhu

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

1 Citation (Scopus)

Abstract

This paper presents a model formulation for modeling travel choices of commuters in a multimodal elastic demand transportation network with park-and-ride (P&R) trips. We assume that commuters can complete their journeys by three options: auto mode, walk-metro mode or auto-metro mode (i.e. the P&R mode). The proposed model simultaneously considers commuters' travel choices on travel mode, route/path and transfer point, as well as their parking choice behavior. The effects of elastic travel demand, together with passengers' discomfort in metro vehicles, are explicitly incorporated. The resultant problem can be formulated as an equivalent variational inequality problem, and is solved by a heuristic solution algorithm. Numerical results show that the introduction of P&R schemes could bring a positive, neutral or even negative social welfare increment, and its efficiency depends very much on the parking charging level and the number of parking spaces that are supplied at the P&R site and in the urban central area, as well as the metro dispatching frequency and fare.
Original languageEnglish
Title of host publicationProceedings of the 11th International Conference of Hong Kong Society for Transportation Studies
Subtitle of host publicationSustainable Transportation
Pages195-204
Number of pages10
Publication statusPublished - 1 Dec 2006
Event11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation - Kowloon, Hong Kong
Duration: 9 Dec 200611 Dec 2006

Conference

Conference11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation
CountryHong Kong
CityKowloon
Period9/12/0611/12/06

ASJC Scopus subject areas

  • Automotive Engineering
  • Civil and Structural Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Transportation

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