File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Hybrid Evolutionary Metaheuristics for Concurrent Multi-Objective Design of Urban Road and Public Transit Networks

TitleHybrid Evolutionary Metaheuristics for Concurrent Multi-Objective Design of Urban Road and Public Transit Networks
Authors
KeywordsBimodal
Elastic demand
Hybrid metaheuristics
Multi-objective optimization
Road network design
Transit network design
Issue Date2012
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1566-113x
Citation
Networks And Spatial Economics, 2012, v. 12 n. 3, p. 441-480 How to Cite?
AbstractThis paper addresses a bi-modal multi-objective discrete urban road network design problem with automobile and bus flow interaction. The problem considers the concurrent urban road and bus network design in which the authorities play a major role in designing bus network topology. The road network design deals with the decision making for new street constructions, lane additions to existing streets, lane allocations for two-way streets, and the orientations and locations of one-way streets. The bus network design is performed by keeping the terminal stations of the existing bus lines unchanged and redesigning the forth and back routes of each line. Four measures, namely user benefit, the demand coverage of the bus network, the demand share of the bus mode, and the average travel generalized cost of bus passengers, are used to evaluate the network design scenarios. The problem is formulated as a multi-objective optimization model in which a modal-split/assignment model is included to depict the mode and route choice behaviors of travelers. The model is solved by the hybrid genetic algorithm and the hybrid clonal selection algorithm. The performance of these algorithms is presented and investigated by solving a number of test networks. © 2011 Springer Science+Business Media, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/135064
ISSN
2015 Impact Factor: 3.25
2015 SCImago Journal Rankings: 2.120
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMiandoabchi, Een_HK
dc.contributor.authorFarahani, RZen_HK
dc.contributor.authorDullaert, Wen_HK
dc.contributor.authorSzeto, WYen_HK
dc.date.accessioned2011-07-27T01:27:24Z-
dc.date.available2011-07-27T01:27:24Z-
dc.date.issued2012en_HK
dc.identifier.citationNetworks And Spatial Economics, 2012, v. 12 n. 3, p. 441-480en_HK
dc.identifier.issn1566-113Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/135064-
dc.description.abstractThis paper addresses a bi-modal multi-objective discrete urban road network design problem with automobile and bus flow interaction. The problem considers the concurrent urban road and bus network design in which the authorities play a major role in designing bus network topology. The road network design deals with the decision making for new street constructions, lane additions to existing streets, lane allocations for two-way streets, and the orientations and locations of one-way streets. The bus network design is performed by keeping the terminal stations of the existing bus lines unchanged and redesigning the forth and back routes of each line. Four measures, namely user benefit, the demand coverage of the bus network, the demand share of the bus mode, and the average travel generalized cost of bus passengers, are used to evaluate the network design scenarios. The problem is formulated as a multi-objective optimization model in which a modal-split/assignment model is included to depict the mode and route choice behaviors of travelers. The model is solved by the hybrid genetic algorithm and the hybrid clonal selection algorithm. The performance of these algorithms is presented and investigated by solving a number of test networks. © 2011 Springer Science+Business Media, LLC.en_HK
dc.languageengen_US
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1566-113xen_HK
dc.relation.ispartofNetworks and Spatial Economicsen_HK
dc.rightsThe original publication is available at www.springerlink.com-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectBimodalen_HK
dc.subjectElastic demanden_HK
dc.subjectHybrid metaheuristicsen_HK
dc.subjectMulti-objective optimizationen_HK
dc.subjectRoad network designen_HK
dc.subjectTransit network designen_HK
dc.titleHybrid Evolutionary Metaheuristics for Concurrent Multi-Objective Design of Urban Road and Public Transit Networksen_HK
dc.typeArticleen_HK
dc.identifier.emailSzeto, WY:ceszeto@hku.hken_HK
dc.identifier.authoritySzeto, WY=rp01377en_HK
dc.description.naturepostprint-
dc.identifier.doi10.1007/s11067-011-9163-xen_HK
dc.identifier.scopuseid_2-s2.0-84865736357en_HK
dc.identifier.hkuros188219en_US
dc.identifier.spage1en_HK
dc.identifier.epage40en_HK
dc.identifier.isiWOS:000308244300006-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridMiandoabchi, E=23985512600en_HK
dc.identifier.scopusauthoridFarahani, RZ=15019088000en_HK
dc.identifier.scopusauthoridDullaert, W=6506613835en_HK
dc.identifier.scopusauthoridSzeto, WY=7003652508en_HK
dc.identifier.citeulike9617164-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats