Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89256
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorXu, Men_US
dc.creatorMeng, Qen_US
dc.date.accessioned2021-03-02T03:54:32Z-
dc.date.available2021-03-02T03:54:32Z-
dc.identifier.issn0191-2615en_US
dc.identifier.urihttp://hdl.handle.net/10397/89256-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en US
dc.rightsThe following publication Xu, M., & Meng, Q. (2019). Fleet sizing for one-way electric carsharing services considering dynamic vehicle relocation and nonlinear charging profile. Transportation Research Part B: Methodological, 128, 23-49 is available at https://dx.doi.org/10.1016/j.trb.2019.07.016.en US
dc.subjectOne-way carsharing servicesen_US
dc.subjectFleet sizeen_US
dc.subjectElectric vehicleen_US
dc.subjectNonlinear charging profileen_US
dc.subjectColumn generationen_US
dc.subjectHeuristicsen_US
dc.titleFleet sizing for one-way electric carsharing services considering dynamic vehicle relocation and nonlinear charging profileen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage23en_US
dc.identifier.epage49en_US
dc.identifier.volume128en_US
dc.identifier.doi10.1016/j.trb.2019.07.016en_US
dcterms.abstractThis study aims to determine the electric vehicle fleet size for one-way carsharing services by maximizing the profit of carsharing operators while taking into account the vehicle relocation operations and nonlinear electric vehicle charging profile. We formulate a set partitioning model for the considered problem. A tailored branch-and-price (B&P) approach is proposed to find the exact optimal solution of the model. In particular, an effective multi-label correcting method is developed to solve the pricing problem (i.e., generate columns) within the B&P approach. A novel non-dominated charging strategy is put up to avoid the exponential growth of labels caused by the allowance of partial charging with a nonlinear charging profile. In addition to the B&P approach, two heuristic methods are put forward for solving the large-scale problems or reinforcing the B&P approach. Numerical experiments with randomly generated instances and a case study based on a one-way carsharing operator in Singapore are conducted to further assess the efficiency and applicability of the proposed solution methods. The effects of several key parameters, i.e., the fixed cost of EV, relocation cost, electricity cost, service charge, EV driving range, the charging efficiency, and the number of rentals on the performance of a one-way electric carsharing system are also examined.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part B, Methodological, Oct. 2019, v. 128, p. 23-49en_US
dcterms.isPartOfTransportation research. Part B, Methodologicalen_US
dcterms.issued2019-10-
dc.identifier.isiWOS:000487311300002-
dc.identifier.eissn1879-2367en_US
dc.description.validate202103 bcwhen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0588-n02-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
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