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Article: Modeling urban taxi services with multiple user classes and vehicle modes

TitleModeling urban taxi services with multiple user classes and vehicle modes
Authors
KeywordsHierarchical modal choice
Multiple user classes
Multiple vehicle modes
Network model
Urban taxi services
Issue Date2008
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trb
Citation
Transportation Research Part B: Methodological, 2008, v. 42 n. 10, p. 985-1007 How to Cite?
AbstractThis paper extends the model of urban taxi services in congested networks to the case of multiple user classes, multiple taxi modes, and customer hierarchical modal choice. There are several classes of customers with different values of time and money, and several modes of taxi services with distinct combinations of service area restrictions and fare levels. The multi-class multi-mode formulation allows the modeling of both mileage-based and congestion-based taxi fare charging mechanisms in a unified framework, and can more realistically model most urban taxi services, which are charged on the basis of both time and distance. The introduction of multiple taxi modes can also be used to model the differentiation between luxury taxis and normal taxis by their respective service areas and customer waiting times. We propose a simultaneous mathematical formulation of two equilibrium sub-problems for the model. One sub-problem is a combined network equilibrium model (CNEM) that describes the hierarchical logit mode choice model of occupied taxis and normal traffic, together with the vacant taxi distributions in the network. The other sub-problem is a set of linear and nonlinear equations (SLNE), which ensures the satisfaction of the relation between taxi and customer waiting times, the relation between customer demand and taxi supply for each taxi mode, and taxi service time constraints. The CNEM can be formulated as a variational inequality program that is solvable by means of a block Gauss-Seidel decomposition approach coupled with the method of successive averages. The SLNE can be solved by a Newtonian algorithm with a line search. The CNEM is formulated as a special case of the general travel demand model so that it is possible to incorporate the taxi model into an existing package as an add-on module, in which the algorithm for the CNEM is built in practice. Most of the parameters are observable, given that such a calibrated transport planning model exists. A numerical example is used to demonstrate the effectiveness of the proposed methodology. © 2008 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/58557
ISSN
2015 Impact Factor: 3.769
2015 SCImago Journal Rankings: 3.905
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWong, KIen_HK
dc.contributor.authorWong, SCen_HK
dc.contributor.authorYang, Hen_HK
dc.contributor.authorWu, JHen_HK
dc.date.accessioned2010-05-31T03:32:29Z-
dc.date.available2010-05-31T03:32:29Z-
dc.date.issued2008en_HK
dc.identifier.citationTransportation Research Part B: Methodological, 2008, v. 42 n. 10, p. 985-1007en_HK
dc.identifier.issn0191-2615en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58557-
dc.description.abstractThis paper extends the model of urban taxi services in congested networks to the case of multiple user classes, multiple taxi modes, and customer hierarchical modal choice. There are several classes of customers with different values of time and money, and several modes of taxi services with distinct combinations of service area restrictions and fare levels. The multi-class multi-mode formulation allows the modeling of both mileage-based and congestion-based taxi fare charging mechanisms in a unified framework, and can more realistically model most urban taxi services, which are charged on the basis of both time and distance. The introduction of multiple taxi modes can also be used to model the differentiation between luxury taxis and normal taxis by their respective service areas and customer waiting times. We propose a simultaneous mathematical formulation of two equilibrium sub-problems for the model. One sub-problem is a combined network equilibrium model (CNEM) that describes the hierarchical logit mode choice model of occupied taxis and normal traffic, together with the vacant taxi distributions in the network. The other sub-problem is a set of linear and nonlinear equations (SLNE), which ensures the satisfaction of the relation between taxi and customer waiting times, the relation between customer demand and taxi supply for each taxi mode, and taxi service time constraints. The CNEM can be formulated as a variational inequality program that is solvable by means of a block Gauss-Seidel decomposition approach coupled with the method of successive averages. The SLNE can be solved by a Newtonian algorithm with a line search. The CNEM is formulated as a special case of the general travel demand model so that it is possible to incorporate the taxi model into an existing package as an add-on module, in which the algorithm for the CNEM is built in practice. Most of the parameters are observable, given that such a calibrated transport planning model exists. A numerical example is used to demonstrate the effectiveness of the proposed methodology. © 2008 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trben_HK
dc.relation.ispartofTransportation Research Part B: Methodologicalen_HK
dc.subjectHierarchical modal choiceen_HK
dc.subjectMultiple user classesen_HK
dc.subjectMultiple vehicle modesen_HK
dc.subjectNetwork modelen_HK
dc.subjectUrban taxi servicesen_HK
dc.titleModeling urban taxi services with multiple user classes and vehicle modesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0191-2615&volume=42&spage=985&epage=1007&date=2008&atitle=Modeling+urban+taxi+services+with+multiple+user+classes+and+vehicle+modesen_HK
dc.identifier.emailWong, SC:hhecwsc@hku.hken_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.trb.2008.03.004en_HK
dc.identifier.scopuseid_2-s2.0-52749097102en_HK
dc.identifier.hkuros152332en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-52749097102&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume42en_HK
dc.identifier.issue10en_HK
dc.identifier.spage985en_HK
dc.identifier.epage1007en_HK
dc.identifier.isiWOS:000260756500010-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridWong, KI=7404760031en_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK
dc.identifier.scopusauthoridYang, H=7406556890en_HK
dc.identifier.scopusauthoridWu, JH=7409257177en_HK
dc.identifier.citeulike4445985-

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