**Article:**A reliability-based land use and transportation optimization model

Title | A reliability-based land use and transportation optimization model |
---|---|

Authors | Yim, KKW1 Wong, SC1 Chen, A3 Wong, CK2 Lam, WHK4 |

Keywords | Demand variability Land use Network design problem Network reliability Transportation |

Issue Date | 2011 |

Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc |

Citation | Transportation Research Part C: Emerging Technologies, 2011, v. 19 n. 2, p. 351-362 [How to Cite?] DOI: http://dx.doi.org/10.1016/j.trc.2010.05.019 |

Abstract | 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. © 2010 Elsevier Ltd. |

ISSN | 0968-090X 2013 Impact Factor: 2.820 2013 SCImago Journal Rankings: 1.943 |

DOI | http://dx.doi.org/10.1016/j.trc.2010.05.019 |

ISI Accession Number ID | WOS:000287437500016 |

References | References in Scopus |

DC Field | Value |
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dc.contributor.author | Yim, KKW |

dc.contributor.author | Wong, SC |

dc.contributor.author | Chen, A |

dc.contributor.author | Wong, CK |

dc.contributor.author | Lam, WHK |

dc.date.accessioned | 2011-10-28T03:08:57Z |

dc.date.available | 2011-10-28T03:08:57Z |

dc.date.issued | 2011 |

dc.description.abstract | 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. © 2010 Elsevier Ltd. |

dc.description.nature | link_to_subscribed_fulltext |

dc.identifier.citation | Transportation Research Part C: Emerging Technologies, 2011, v. 19 n. 2, p. 351-362 [How to Cite?] DOI: http://dx.doi.org/10.1016/j.trc.2010.05.019 |

dc.identifier.citeulike | 7399173 |

dc.identifier.doi | http://dx.doi.org/10.1016/j.trc.2010.05.019 |

dc.identifier.epage | 362 |

dc.identifier.hkuros | 184306 |

dc.identifier.isi | WOS:000287437500016 |

dc.identifier.issn | 0968-090X 2013 Impact Factor: 2.820 2013 SCImago Journal Rankings: 1.943 |

dc.identifier.issue | 2 |

dc.identifier.scopus | eid_2-s2.0-78951470988 |

dc.identifier.spage | 351 |

dc.identifier.uri | http://hdl.handle.net/10722/143091 |

dc.identifier.volume | 19 |

dc.language | eng |

dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc |

dc.publisher.place | United Kingdom |

dc.relation.ispartof | Transportation Research Part C: Emerging Technologies |

dc.relation.references | References in Scopus |

dc.subject | Demand variability |

dc.subject | Land use |

dc.subject | Network design problem |

dc.subject | Network reliability |

dc.subject | Transportation |

dc.title | A reliability-based land use and transportation optimization model |

dc.type | Article |

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Author Affiliations

- The University of Hong Kong
- City University of Hong Kong
- Utah State University
- Hong Kong Polytechnic University