Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98351
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWang, Sen_US
dc.creatorQu, Xen_US
dc.date.accessioned2023-04-27T01:04:59Z-
dc.date.available2023-04-27T01:04:59Z-
dc.identifier.issn0377-2217en_US
dc.identifier.urihttp://hdl.handle.net/10397/98351-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2016 Elsevier B.V. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Wang, S., & Qu, X. (2017). Station choice for Australian commuter rail lines: equilibrium and optimal fare design. European Journal of Operational Research, 258(1), 144-154 is available at https://doi.org/10.1016/j.ejor.2016.08.040.en_US
dc.subjectPark-and-rideen_US
dc.subjectRailen_US
dc.subjectSeat availabilityen_US
dc.subjectTransportationen_US
dc.subjectUser equilibriumen_US
dc.titleStation choice for Australian commuter rail lines : equilibrium and optimal fare designen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage144en_US
dc.identifier.epage154en_US
dc.identifier.volume258en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1016/j.ejor.2016.08.040en_US
dcterms.abstractWe examine how park-and-ride commuters living along a rail line compete for seats when they travel to their workplace in Australian metropolitan areas. First, we prove that at user equilibrium in which each commuter minimizes her expected travel cost, there exists one station on the rail line at which some commuters could find a seat and the others have to stand; all of the commuters boarding at its upstream stations have seats and all of the commuters boarding at its downstream stations must stand in the train. We derive a solution algorithm for obtaining a user equilibrium, which involves solving an equation with only one variable. We demonstrate that more than one user equilibrium may exist. Second, we examine the system optimal station choice that assumes all of the commuters cooperate and minimizes their total travel cost. An analytical solution approach is proposed based on the structure of the problem. Third, we investigate the optimal train fare design that leads to the system optimal station choice. We prove that the optimal train fare satisfies: there exists a particular train station that has some seats and the train is full after this station. All of its upstream stations have the same fare, which is higher than or equal to the fare of this particular station; and all of its downstream stations have the same fare, which is lower than the fare of this particular station.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEuropean journal of operational research, 1 Apr. 2017, v. 258, no. 1, p. 144-154en_US
dcterms.isPartOfEuropean journal of operational researchen_US
dcterms.issued2017-04-01-
dc.identifier.scopus2-s2.0-84994137703-
dc.identifier.eissn1872-6860en_US
dc.description.validate202304 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0416-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6692278-
dc.description.oaCategoryGreen (AAM)en_US
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