A model for evaluation of transport policies in multimodal networks with road and parking capacity constraints

Zhi Chun Li, Hai Jun Huang, Hing Keung William Lam, S. C. Wong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

41 Citations (Scopus)

Abstract

This paper presents a model for evaluation of transport policies in multimodal networks with road and parking capacity constraints. The proposed model simultaneously considers choices of travelers on route, parking location and mode between auto and transit. In the proposed model, it is assumed that auto drivers make a simultaneous route and parking location choice in a user equilibrium manner, and the modal split between auto and transit follows a multinomial logit formulation. A mathematical programming model with capacity constraints on road link and parking facilities is proposed that generates optimality conditions equivalent to the requirements for multimodal network equilibrium. An augmented Lagrangian dual algorithm embedded by partial linearization approach is developed to solve the proposed model. Numerical results on two example networks are presented to illustrate the proposed methodology. The results show that the service level of transit, parking charges, road link and parking capacities, and addition of a new parking location may bring significant impacts on travelers' behavior and network performance. In addition, transport policies may result in paradoxical phenomenon. 2007.
Original languageEnglish
Pages (from-to)239-257
Number of pages19
JournalJournal of Mathematical Modelling and Algorithms
Volume6
Issue number2
DOIs
Publication statusPublished - 1 Jun 2007

Keywords

  • Augmented Lagrangian dual algorithm
  • Capacity constraint
  • Mathematical programming
  • Modal split
  • Parking
  • Partial linearization approach

ASJC Scopus subject areas

  • Modelling and Simulation
  • Applied Mathematics

Cite this