File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: The multi-class schedule-based transit assignment model under network uncertainties

TitleThe multi-class schedule-based transit assignment model under network uncertainties
Authors
KeywordsCapacity Constraint
Demand Uncertainty
Multi-Class
Reliability-Based Stochastic User Equilibrium
Schedule-Based Transit Assignment
Supply Uncertainty
Issue Date2010
PublisherSpringer. The Journal's web site is located at http://www.springerlink.com/content/1866-749x/
Citation
Public Transport, 2010, v. 2 n. 1, p. 69-86 How to Cite?
AbstractDemand and supply uncertainties at schedule-based transit network levels strongly impact different passengers' travel behavior. In this paper, a new multi-class user reliability-based dynamic transit assignment model is presented. Passengers differ in their heterogeneous risk-taking attitudes towards the random travel cost. The stochastic characteristics of the main travel cost components (in-vehicle travel time, waiting time, and early or late penalty) are demonstrated by specifying the demand and supply uncertainties and their interactions. Passenger route and departure time choice is determined by each passenger's respective reliability requirements. Vehicle capacity constraint for random passenger demand is handled by an in-vehicle congestion parameter. The proposed model is formulated as a fixed-point problem, and solved by a heuristic MSA-type algorithm. The numerical result shows that the risk-taking attitude will impact greatly on passengers' travel mode and departure time choices, as well as their money and time costs. This model is also capable of generating transit service attributes such as the stochastic vehicle dwelling time and the deviated timetable. © 2010 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/150560
ISSN
2023 Impact Factor: 2.3
2023 SCImago Journal Rankings: 0.722
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Yen_US
dc.contributor.authorLam, WHKen_US
dc.contributor.authorSumalee, Aen_US
dc.contributor.authorLo, HKen_US
dc.contributor.authorTong, COen_US
dc.date.accessioned2012-06-26T06:05:42Z-
dc.date.available2012-06-26T06:05:42Z-
dc.date.issued2010en_US
dc.identifier.citationPublic Transport, 2010, v. 2 n. 1, p. 69-86en_US
dc.identifier.issn1866-749Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/150560-
dc.description.abstractDemand and supply uncertainties at schedule-based transit network levels strongly impact different passengers' travel behavior. In this paper, a new multi-class user reliability-based dynamic transit assignment model is presented. Passengers differ in their heterogeneous risk-taking attitudes towards the random travel cost. The stochastic characteristics of the main travel cost components (in-vehicle travel time, waiting time, and early or late penalty) are demonstrated by specifying the demand and supply uncertainties and their interactions. Passenger route and departure time choice is determined by each passenger's respective reliability requirements. Vehicle capacity constraint for random passenger demand is handled by an in-vehicle congestion parameter. The proposed model is formulated as a fixed-point problem, and solved by a heuristic MSA-type algorithm. The numerical result shows that the risk-taking attitude will impact greatly on passengers' travel mode and departure time choices, as well as their money and time costs. This model is also capable of generating transit service attributes such as the stochastic vehicle dwelling time and the deviated timetable. © 2010 Springer-Verlag.en_US
dc.languageengen_US
dc.publisherSpringer. The Journal's web site is located at http://www.springerlink.com/content/1866-749x/en_US
dc.relation.ispartofPublic Transporten_US
dc.subjectCapacity Constrainten_US
dc.subjectDemand Uncertaintyen_US
dc.subjectMulti-Classen_US
dc.subjectReliability-Based Stochastic User Equilibriumen_US
dc.subjectSchedule-Based Transit Assignmenten_US
dc.subjectSupply Uncertaintyen_US
dc.titleThe multi-class schedule-based transit assignment model under network uncertaintiesen_US
dc.typeArticleen_US
dc.identifier.emailTong, CO:cotong@hku.hken_US
dc.identifier.authorityTong, CO=rp00178en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s12469-010-0027-4en_US
dc.identifier.scopuseid_2-s2.0-79953199729en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79953199729&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume2en_US
dc.identifier.issue1en_US
dc.identifier.spage69en_US
dc.identifier.epage86en_US
dc.identifier.isiWOS:000219210200005-
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridZhang, Y=36195191200en_US
dc.identifier.scopusauthoridLam, WHK=35264545500en_US
dc.identifier.scopusauthoridSumalee, A=14326110000en_US
dc.identifier.scopusauthoridLo, HK=36786895900en_US
dc.identifier.scopusauthoridTong, CO=7202715087en_US
dc.identifier.citeulike10638978-
dc.identifier.issnl1613-7159-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats