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Article: Optimization of Number of Operators and Allocation of New Lines in an Oligopolistic Transit Market

TitleOptimization of Number of Operators and Allocation of New Lines in an Oligopolistic Transit Market
Authors
KeywordsAllocation Of New Lines
Implicit Enumeration
Number Of Operators
Oligopolistic Competition
Scale Economies
Transit Market
Issue Date2012
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1566-113x
Citation
Networks And Spatial Economics, 2012, v. 12 n. 1, p. 1-20 How to Cite?
AbstractThis paper proposes a novel model for determining the optimal number of transit operators and the allocation of new lines in an oligopolistic transit market. The proposed model consists of three interrelated sub-models that are associated with three types of players; namely, transit authority, transit operators, and transit passengers. In practice, the operating cost per unit of transit line of each operator is decreasing in the number of lines that it operates. These effects which are referred to as the scale economies of transit operations are explicitly incorporated in the proposed model. On the basis of a logit-type transit passenger travel choice sub-model with elastic demand, the fares and frequencies of transit services are determined by an oligopolistic competitive equilibrium model (i. e. transit operator sub-model). The transit authority sub-model for optimization of the number of operators and the allocation of new lines is expressed as a 0-1 integer programming problem. It can be solved by an implicit enumeration heuristic solution algorithm. Numerical results show that both the scale economies and the market demand level have significant impacts on the optimal number of operators and the allocation schemes of new lines. Ignoring the effects of scale economies on transit operations may lead transit authorities to make biased decisions. © 2010 Springer Science+Business Media, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/150662
ISSN
2015 Impact Factor: 3.25
2015 SCImago Journal Rankings: 2.120
ISI Accession Number ID
Funding AgencyGrant Number
Research Grants Council of the Hong Kong Special Administrative RegionPolyU 5202/06E
Research Committee of the Hong Kong Polytechnic UniversityG-YX1V
National Natural Science Foundation of China70971045
Research Foundation for the Author of National Excellent Doctoral Dissertation of PR China200963
Program for New Century Excellent Talents in University of ChinaNCET-10-0385
University Research Committee of the University of Hong Kong10400582
Funding Information:

The authors would like to thank two anonymous referees for their helpful comments and suggestions on an earlier draft of the paper. The work that is described in this paper was supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region (PolyU 5202/06E), the Research Committee of the Hong Kong Polytechnic University (G-YX1V), the National Natural Science Foundation of China (70971045), the Research Foundation for the Author of National Excellent Doctoral Dissertation of PR China (200963), the Program for New Century Excellent Talents in University of China (NCET-10-0385) and the University Research Committee of the University of Hong Kong (10400582).

References

 

DC FieldValueLanguage
dc.contributor.authorLi, ZCen_US
dc.contributor.authorLam, WHKen_US
dc.contributor.authorWong, SCen_US
dc.date.accessioned2012-06-26T06:06:32Z-
dc.date.available2012-06-26T06:06:32Z-
dc.date.issued2012en_US
dc.identifier.citationNetworks And Spatial Economics, 2012, v. 12 n. 1, p. 1-20en_US
dc.identifier.issn1566-113Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/150662-
dc.description.abstractThis paper proposes a novel model for determining the optimal number of transit operators and the allocation of new lines in an oligopolistic transit market. The proposed model consists of three interrelated sub-models that are associated with three types of players; namely, transit authority, transit operators, and transit passengers. In practice, the operating cost per unit of transit line of each operator is decreasing in the number of lines that it operates. These effects which are referred to as the scale economies of transit operations are explicitly incorporated in the proposed model. On the basis of a logit-type transit passenger travel choice sub-model with elastic demand, the fares and frequencies of transit services are determined by an oligopolistic competitive equilibrium model (i. e. transit operator sub-model). The transit authority sub-model for optimization of the number of operators and the allocation of new lines is expressed as a 0-1 integer programming problem. It can be solved by an implicit enumeration heuristic solution algorithm. Numerical results show that both the scale economies and the market demand level have significant impacts on the optimal number of operators and the allocation schemes of new lines. Ignoring the effects of scale economies on transit operations may lead transit authorities to make biased decisions. © 2010 Springer Science+Business Media, LLC.en_US
dc.languageengen_US
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1566-113xen_US
dc.relation.ispartofNetworks and Spatial Economicsen_US
dc.rightsThe original publication is available at www.springerlink.com-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAllocation Of New Linesen_US
dc.subjectImplicit Enumerationen_US
dc.subjectNumber Of Operatorsen_US
dc.subjectOligopolistic Competitionen_US
dc.subjectScale Economiesen_US
dc.subjectTransit Marketen_US
dc.titleOptimization of Number of Operators and Allocation of New Lines in an Oligopolistic Transit Marketen_US
dc.typeArticleen_US
dc.identifier.emailWong, SC:hhecwsc@hku.hken_US
dc.identifier.authorityWong, SC=rp00191en_US
dc.description.naturepostprinten_US
dc.identifier.doi10.1007/s11067-010-9133-8en_US
dc.identifier.scopuseid_2-s2.0-84858702863en_US
dc.identifier.hkuros200325-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84858702863&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume12en_US
dc.identifier.issue1en_US
dc.identifier.spage1en_US
dc.identifier.epage20en_US
dc.identifier.isiWOS:000305525500001-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridLi, ZC=26643300400en_US
dc.identifier.scopusauthoridLam, WHK=7203022024en_US
dc.identifier.scopusauthoridWong, SC=24323361400en_US
dc.identifier.citeulike7246683-

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