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Article: Taxi service area design: Formulation and analysis

TitleTaxi service area design: Formulation and analysis
Authors
Li, BSzeto, WY
KeywordsTaxi service area design
Urban taxi services
Multiple vehicle modes
Customers’ equity
Social welfare maximization
Issue Date2019
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description
Citation
Transportation Research Part E: Logistics and Transportation Review, 2019, v. 125, p. 308-333 How to Cite?
DOI: http://dx.doi.org/10.1016/j.tre.2019.03.004
AbstractMultiple taxi types with different service areas exist in practice. However, to the best of our knowledge, there is no methodology to determine the best service region of each type of restricted area taxi in a taxi market. It is also unclear what the determinant factors are for the design. This paper proposes a nonlinear mixed integer programming model to determine the service areas. The objective is to maximize social welfare. A greedy heuristic is developed to solve the model. Numerical examples are given to show the performance of the heuristic and the determinant factors for the design.
Persistent Identifierhttp://hdl.handle.net/10722/274856
ISSN
1366-5545
2021 Impact Factor: 10.047
2020 SCImago Journal Rankings: 2.042
ISI Accession Number ID
WOS:000467517000015

 

DC FieldValueLanguage
dc.contributor.authorLi, B-
dc.contributor.authorSzeto, WY-
dc.date.accessioned2019-09-10T02:30:17Z-
dc.date.available2019-09-10T02:30:17Z-
dc.date.issued2019-
dc.identifier.citationTransportation Research Part E: Logistics and Transportation Review, 2019, v. 125, p. 308-333-
dc.identifier.issn1366-5545-
dc.identifier.urihttp://hdl.handle.net/10722/274856-
dc.description.abstractMultiple taxi types with different service areas exist in practice. However, to the best of our knowledge, there is no methodology to determine the best service region of each type of restricted area taxi in a taxi market. It is also unclear what the determinant factors are for the design. This paper proposes a nonlinear mixed integer programming model to determine the service areas. The objective is to maximize social welfare. A greedy heuristic is developed to solve the model. Numerical examples are given to show the performance of the heuristic and the determinant factors for the design.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description-
dc.relation.ispartofTransportation Research Part E: Logistics and Transportation Review-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License-
dc.subjectTaxi service area design-
dc.subjectUrban taxi services-
dc.subjectMultiple vehicle modes-
dc.subjectCustomers’ equity-
dc.subjectSocial welfare maximization-
dc.titleTaxi service area design: Formulation and analysis-
dc.typeArticle-
dc.identifier.emailSzeto, WY: ceszeto@hku.hk-
dc.identifier.authoritySzeto, WY=rp01377-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.tre.2019.03.004-
dc.identifier.scopuseid_2-s2.0-85063268850-
dc.identifier.hkuros303144-
dc.identifier.volume125-
dc.identifier.spage308-
dc.identifier.epage333-
dc.identifier.isiWOS:000467517000015-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1366-5545-

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