Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102572
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorXu, Xen_US
dc.creatorChen, Aen_US
dc.creatorLo, HKen_US
dc.creatorYang, Cen_US
dc.date.accessioned2023-10-26T07:19:33Z-
dc.date.available2023-10-26T07:19:33Z-
dc.identifier.issn2324-9935en_US
dc.identifier.urihttp://hdl.handle.net/10397/102572-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2017 Hong Kong Society for Transportation Studies Limiteden_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 02 May 2017 (published online), available at: http://www.tandfonline.com/10.1080/23249935.2017.1317879.en_US
dc.subjectMean-excess travel timeen_US
dc.subjectNetwork uncertaintyen_US
dc.subjectRoute choiceen_US
dc.subjectSpeed limiten_US
dc.titleModeling the impacts of speed limits on uncertain road networksen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage66en_US
dc.identifier.epage88en_US
dc.identifier.volume14en_US
dc.identifier.issue1-2en_US
dc.identifier.doi10.1080/23249935.2017.1317879en_US
dcterms.abstractIn this paper, we examine the network-wide impacts of speed limits on network uncertainty. A multi-dimensional modeling approach is proposed to investigate the impacts of speed limits on link travel time uncertainty profile, travelers' risk-averse route choice decisions, and network flow reallocation under uncertainty. Methodologically, a truncated travel time probability distribution is proposed and its moments are derived to characterize the impact of speed limit on link travel time uncertainty profile. The mean-excess travel time is then adopted as a risk measure to account for travelers' risk-averse route choice adjustment and network flow reallocation induced by speed limits. We find that a speed limit scheme has different impacts on various dimensions of travel time uncertainty. The shift in travel time uncertainty profile of the directly affected links adjusts the traveler's risk-averse route choice decisions, the travel time uncertainty profile of the indirectly affected links, and consequently the network flow reallocation.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportmetrica. A, Transport science, 2018, v. 14, no. 1-2, p. 66-88en_US
dcterms.isPartOfTransportmetrica. A, Transport scienceen_US
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85019009510-
dc.identifier.eissn2324-9943en_US
dc.description.validate202310 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-1960-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Chang Jiang Chair Professorship Program sponsored by the Ministry of Education in China; Fundamental Research Funds for the Central Universities of China; Chenguang Program sponsored by Shanghai Education Development Foundation and Shanghai Municipal Education Commission; Research Committee of the Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6745213-
dc.description.oaCategoryGreen (AAM)en_US
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