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

TitleA reliability-based land use and transportation optimization model
Authors
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
Citation
Transportation Research Part C: Emerging Technologies, 2011, v. 19 n. 2, p. 351-362 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/143091
ISSN
2013 Impact Factor: 2.820
2013 SCImago Journal Rankings: 1.943
ISI Accession Number ID
References

 

Author Affiliations
  1. The University of Hong Kong
  2. City University of Hong Kong
  3. Utah State University
  4. Hong Kong Polytechnic University
DC FieldValueLanguage
dc.contributor.authorYim, KKWen_HK
dc.contributor.authorWong, SCen_HK
dc.contributor.authorChen, Aen_HK
dc.contributor.authorWong, CKen_HK
dc.contributor.authorLam, WHKen_HK
dc.date.accessioned2011-10-28T03:08:57Z-
dc.date.available2011-10-28T03:08:57Z-
dc.date.issued2011en_HK
dc.identifier.citationTransportation Research Part C: Emerging Technologies, 2011, v. 19 n. 2, p. 351-362en_HK
dc.identifier.issn0968-090Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/143091-
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.en_HK
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trcen_HK
dc.relation.ispartofTransportation Research Part C: Emerging Technologiesen_HK
dc.subjectDemand variabilityen_HK
dc.subjectLand useen_HK
dc.subjectNetwork design problemen_HK
dc.subjectNetwork reliabilityen_HK
dc.subjectTransportationen_HK
dc.titleA reliability-based land use and transportation optimization modelen_HK
dc.typeArticleen_HK
dc.identifier.emailWong, SC:hhecwsc@hku.hken_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.trc.2010.05.019en_HK
dc.identifier.scopuseid_2-s2.0-78951470988en_HK
dc.identifier.hkuros184306en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78951470988&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume19en_HK
dc.identifier.issue2en_HK
dc.identifier.spage351en_HK
dc.identifier.epage362en_HK
dc.identifier.isiWOS:000287437500016-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridYim, KKW=36125756300en_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK
dc.identifier.scopusauthoridChen, A=35253254800en_HK
dc.identifier.scopusauthoridWong, CK=7404954896en_HK
dc.identifier.scopusauthoridLam, WHK=7203022024en_HK
dc.identifier.citeulike7399173-

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