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Article: A reliability-based land use and transportation optimization model
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TitleA reliability-based land use and transportation optimization model
 
AuthorsYim, KKW1
Wong, SC1
Chen, A3
Wong, CK2
Lam, WHK4
 
KeywordsDemand variability
Land use
Network design problem
Network reliability
Transportation
 
Issue Date2011
 
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc
 
CitationTransportation 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
 
AbstractWe 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.
 
ISSN0968-090X
2013 Impact Factor: 2.820
2013 SCImago Journal Rankings: 1.943
 
DOIhttp://dx.doi.org/10.1016/j.trc.2010.05.019
 
ISI Accession Number IDWOS:000287437500016
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorYim, KKW
 
dc.contributor.authorWong, SC
 
dc.contributor.authorChen, A
 
dc.contributor.authorWong, CK
 
dc.contributor.authorLam, WHK
 
dc.date.accessioned2011-10-28T03:08:57Z
 
dc.date.available2011-10-28T03:08:57Z
 
dc.date.issued2011
 
dc.description.abstractWe 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.naturelink_to_subscribed_fulltext
 
dc.identifier.citationTransportation 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.citeulike7399173
 
dc.identifier.doihttp://dx.doi.org/10.1016/j.trc.2010.05.019
 
dc.identifier.epage362
 
dc.identifier.hkuros184306
 
dc.identifier.isiWOS:000287437500016
 
dc.identifier.issn0968-090X
2013 Impact Factor: 2.820
2013 SCImago Journal Rankings: 1.943
 
dc.identifier.issue2
 
dc.identifier.scopuseid_2-s2.0-78951470988
 
dc.identifier.spage351
 
dc.identifier.urihttp://hdl.handle.net/10722/143091
 
dc.identifier.volume19
 
dc.languageeng
 
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc
 
dc.publisher.placeUnited Kingdom
 
dc.relation.ispartofTransportation Research Part C: Emerging Technologies
 
dc.relation.referencesReferences in Scopus
 
dc.subjectDemand variability
 
dc.subjectLand use
 
dc.subjectNetwork design problem
 
dc.subjectNetwork reliability
 
dc.subjectTransportation
 
dc.titleA reliability-based land use and transportation optimization model
 
dc.typeArticle
 
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<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. &#169; 2010 Elsevier Ltd.</description.abstract>
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Author Affiliations
  1. The University of Hong Kong
  2. City University of Hong Kong
  3. Utah State University
  4. Hong Kong Polytechnic University