A reliability-based land use and transportation optimization model

Kelvin K.W. Yim, S. C. Wong, Anthony Chen, C. K. Wong, Hing Keung William Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

92 Citations (Scopus)


We consider a transportation network with a set of origins and a set of destinations. Given a set of budgets for the residential and employment developments, and network enhancement, the problem is one of allocating the resources within the system, so that the probability of overloading the links in the network is minimized. For the improved transportation system with new household and employment distribution patterns, a combined distribution and assignment model is used to map the land-use pattern to the link-loading pattern in the network. Assuming that the actual demand of each origin-destination (O-D) pair follows a certain distribution, the road users choose their destination and route in accordance with the user equilibrium principle that is based on the long-run perceived travel cost. Moreover, it is assumed that despite the short-term demand fluctuation, the O-D-link choice proportion remains unchanged for the choices of destination and route, and the stochastic demand of all O-D pairs are independent. Explicit formulae for the mean and variance of the traffic volume on each link are derived. Using the central limit theorem, the probability that the traffic volume does not exceed the link capacity can be estimated, from which we can calculate a network reliability index. This index represents the probability that all links in the network are within the respective capacities. The problem can be formulated as a bi-level program, in which the upper-level sub-program maximizes the network reliability index with respect to the residential and employment allocations and network enhancements, whereas the lower-level subprogram is the combined distribution and assignment model with long-run travel cost functions. The problem is solved by a genetic algorithm. A numerical example is used to demonstrate the effectiveness of the methodology.
Original languageEnglish
Pages (from-to)351-362
Number of pages12
JournalTransportation Research Part C: Emerging Technologies
Issue number2
Publication statusPublished - 1 Jan 2011


  • Demand variability
  • Land use
  • Network design problem
  • Network reliability
  • Transportation

ASJC Scopus subject areas

  • Automotive Engineering
  • Transportation
  • Computer Science Applications
  • Management Science and Operations Research


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