Activity-based Market Equilibrium for Capacitated Multimodal Transport Systems

Joseph Ying Jun Chow, Shadi Djavadian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Empirical studies have shown that demand for multimodal transport systems is highly correlated with activity schedules of individuals. Nonetheless, existing analytical equilibrium models of multimodal systems have only considered trip-based demand. We propose a new market equilibrium model that is sensitive to traveler activity schedules and system capacities. The model is based on a constrained mixed logit model of activity schedule choice, where each schedule in the choice set is generated with a multimodal extension of the Household Activity Pattern Problem. The extension explicitly accounts for both passenger choices of activity participation and multimodal choices like public transit, walking, and vehicle parking. The market equilibrium is achieved with Lagrangian relaxation to determine the optimal dual price of the capacity constraint, and a method of successive averages with column generation finds an efficient choice set of activity schedules to assign flows over the dynamic network load capacities. An example illustrates the model and algorithm, effects similar to Vickrey's morning commute model can be observed as a special case. A case study of the Oakville Go Transit station access "last mile" problem in the Greater Toronto Area is conducted with 166 survey samples reflecting 3,680 individuals. Results suggest that a $10 fixed parking fee at Oakville station would lead to a reduction of access auto share from 54.8% to 49.5%, an increase in access transit share from 20.7% to 25.9%, and a disutility increase of 11% for the of single-activity residents of Oakville.

Original languageEnglish (US)
Title of host publicationTransportation Research Procedia
PublisherElsevier
Pages2-23
Number of pages22
Volume7
DOIs
StatePublished - 2015

Fingerprint

market equilibrium
transport system
Parking
equilibrium model
public choice
demand
fee
resident
participation

Keywords

  • Activity scheduling
  • Constrained mixed logit
  • Last mile problem
  • Market equilibrium
  • Multimodal systems
  • Vehicle routing problem

ASJC Scopus subject areas

  • Transportation

Cite this

Chow, J. Y. J., & Djavadian, S. (2015). Activity-based Market Equilibrium for Capacitated Multimodal Transport Systems. In Transportation Research Procedia (Vol. 7, pp. 2-23). Elsevier. https://doi.org/10.1016/j.trpro.2015.06.001

Activity-based Market Equilibrium for Capacitated Multimodal Transport Systems. / Chow, Joseph Ying Jun; Djavadian, Shadi.

Transportation Research Procedia. Vol. 7 Elsevier, 2015. p. 2-23.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chow, JYJ & Djavadian, S 2015, Activity-based Market Equilibrium for Capacitated Multimodal Transport Systems. in Transportation Research Procedia. vol. 7, Elsevier, pp. 2-23. https://doi.org/10.1016/j.trpro.2015.06.001
Chow JYJ, Djavadian S. Activity-based Market Equilibrium for Capacitated Multimodal Transport Systems. In Transportation Research Procedia. Vol. 7. Elsevier. 2015. p. 2-23 https://doi.org/10.1016/j.trpro.2015.06.001
Chow, Joseph Ying Jun ; Djavadian, Shadi. / Activity-based Market Equilibrium for Capacitated Multimodal Transport Systems. Transportation Research Procedia. Vol. 7 Elsevier, 2015. pp. 2-23
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