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Article: Alternative formulations of a combined trip generation, trip distribution, modal split, and trip assignment model

TitleAlternative formulations of a combined trip generation, trip distribution, modal split, and trip assignment model
Authors
KeywordsCombined travel demand model
Mathematical programming
Random utility
Transportation
Variational inequality
Issue Date2009
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ejor
Citation
European Journal Of Operational Research, 2009, v. 198 n. 1, p. 129-138 How to Cite?
AbstractThe traditional four-step model has been widely used in travel demand forecasting by considering trip generation, trip distribution, modal split and traffic assignment sequentially in a fixed order. However, this sequential approach suffers from the inconsistency among the level-of-service and flow values in each step of the procedure. In the last two decades, this problem has been addressed by many researchers who have sought to develop combined (or integrated) models that can consider travelers' choice on different stages simultaneously and give consistent results. In this paper, alternative formulations, including mathematical programming (MP) formulation and variational inequality (VI) formulations, are provided for a combined travel demand model that integrates trip generation, trip distribution, modal split, and traffic assignment using the random utility theory framework. Thus, the proposed alternative formulations not only allow a systematic and consistent treatment of travel choice over different dimensions but also have behavioral richness. Qualitative properties of the formulations are also given to ensure the existence and uniqueness of the solution. Particularly, the model is analyzed for a special but useful case where the probabilistic travel choices are assumed to be a hierarchical logit model. Furthermore, a self-adaptive Goldstein-Levitin-Polyak (GLP) projection algorithm is adopted for solving this special case.
Persistent Identifierhttp://hdl.handle.net/10722/58520
ISSN
2015 Impact Factor: 2.679
2015 SCImago Journal Rankings: 2.595
ISI Accession Number ID
Funding AgencyGrant Number
National Science Foundation of the United StatesCMS-0134161
Funding Information:

The work described in this paper is supported by a CAREER grant from the National Science Foundation of the United States (CMS-0134161).

References

 

DC FieldValueLanguage
dc.contributor.authorZhou, Zen_HK
dc.contributor.authorChen, Aen_HK
dc.contributor.authorWong, SCen_HK
dc.date.accessioned2010-05-31T03:31:52Z-
dc.date.available2010-05-31T03:31:52Z-
dc.date.issued2009en_HK
dc.identifier.citationEuropean Journal Of Operational Research, 2009, v. 198 n. 1, p. 129-138en_HK
dc.identifier.issn0377-2217en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58520-
dc.description.abstractThe traditional four-step model has been widely used in travel demand forecasting by considering trip generation, trip distribution, modal split and traffic assignment sequentially in a fixed order. However, this sequential approach suffers from the inconsistency among the level-of-service and flow values in each step of the procedure. In the last two decades, this problem has been addressed by many researchers who have sought to develop combined (or integrated) models that can consider travelers' choice on different stages simultaneously and give consistent results. In this paper, alternative formulations, including mathematical programming (MP) formulation and variational inequality (VI) formulations, are provided for a combined travel demand model that integrates trip generation, trip distribution, modal split, and traffic assignment using the random utility theory framework. Thus, the proposed alternative formulations not only allow a systematic and consistent treatment of travel choice over different dimensions but also have behavioral richness. Qualitative properties of the formulations are also given to ensure the existence and uniqueness of the solution. Particularly, the model is analyzed for a special but useful case where the probabilistic travel choices are assumed to be a hierarchical logit model. Furthermore, a self-adaptive Goldstein-Levitin-Polyak (GLP) projection algorithm is adopted for solving this special case.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/ejoren_HK
dc.relation.ispartofEuropean Journal of Operational Researchen_HK
dc.rightsEuropean Journal of Operational Research. Copyright © Elsevier BV.en_HK
dc.subjectCombined travel demand modelen_HK
dc.subjectMathematical programmingen_HK
dc.subjectRandom utilityen_HK
dc.subjectTransportationen_HK
dc.subjectVariational inequalityen_HK
dc.titleAlternative formulations of a combined trip generation, trip distribution, modal split, and trip assignment modelen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0377-2217&volume=198&spage=129&epage=138&date=2009&atitle=Alternative+formulations+of+a+combined+trip+generation,+trip+distribution,+modal+split,+and+trip+assignment+modelen_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.ejor.2008.07.041en_HK
dc.identifier.scopuseid_2-s2.0-62549098638en_HK
dc.identifier.hkuros154881en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-62549098638&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume198en_HK
dc.identifier.issue1en_HK
dc.identifier.spage129en_HK
dc.identifier.epage138en_HK
dc.identifier.isiWOS:000265341200015-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridZhou, Z=8935295700en_HK
dc.identifier.scopusauthoridChen, A=35253254800en_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK

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