Reliability evaluation for stochastic and time-dependent networks with multiple parking facilities

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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

27 Citations (Scopus)


This paper presents a fixed-point model for evaluating the reliability of stochastic and time-dependent networks with multiple parking facilities. The proposed model combines a supply model that simulates the time-dependent attributes of road and parking supplies and their variations with a demand model that simultaneously considers heterogeneous travelers' choices on departure time, route and parking location. In the proposed model, travelers are differentiated by their values of time, and parking locations are characterized by facility type. Schedule reliability and parking reliability are introduced as new performance indices for the evaluation of the level of service of a road network during time of day. A heuristic solution algorithm that uses a combination of the Monte Carlo simulation approach with the method of successive averages is proposed to estimate these two reliability measures. Numerical results show that the reliability performances of road networks are significantly influenced by the network congestion level and the capacities of road and parking facilities. The proposed model provides some new insights for assessing the impacts of various transport policies and infrastructure improvements at a strategic level.
Original languageEnglish
Pages (from-to)355-381
Number of pages27
JournalNetworks and Spatial Economics
Issue number4
Publication statusPublished - 13 Oct 2008


  • Fixed-point model
  • Heterogeneous travelers
  • Monte Carlo simulation
  • Multiple parking facilities
  • Reliability
  • Stochastic and time-dependent network

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence


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