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Article: Reliability evaluation for stochastic and time-dependent networks with multiple parking facilities

TitleReliability evaluation for stochastic and time-dependent networks with multiple parking facilities
Authors
KeywordsFixed-point model
Heterogeneous travelers
Monte Carlo simulation
Multiple parking facilities
Reliability
Stochastic and time-dependent network
Issue Date2008
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, 2008, v. 8 n. 4, p. 355-381 How to Cite?
AbstractThis paper presents a fixed-point model for evaluating the reliability of stochastic and time-dependent networks with multiple parking facilities. The proposed model combines a supply model that simulates the time-dependent attributes of road and parking supplies and their variations with a demand model that simultaneously considers heterogeneous travelers' choices on departure time, route and parking location. In the proposed model, travelers are differentiated by their values of time, and parking locations are characterized by facility type. Schedule reliability and parking reliability are introduced as new performance indices for the evaluation of the level of service of a road network during time of day. A heuristic solution algorithm that uses a combination of the Monte Carlo simulation approach with the method of successive averages is proposed to estimate these two reliability measures. Numerical results show that the reliability performances of road networks are significantly influenced by the network congestion level and the capacities of road and parking facilities. The proposed model provides some new insights for assessing the impacts of various transport policies and infrastructure improvements at a strategic level. © Springer Science+Business Media, LLC 2007.
Persistent Identifierhttp://hdl.handle.net/10722/58558
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 5084/05E
PolyU 5143/03E
HKU 7134/03E
National Natural Science Foundation of China50578006
70521001
China Postdoctoral Science Foundation20060400573
Funding Information:

The work that is described in this paper was supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region (Project no. PolyU 5084/05E, PolyU 5143/03E and HKU 7134/03E), grants from the National Natural Science Foundation of China (Project no. 50578006, 70521001), and the China Postdoctoral Science Foundation (20060400573). The authors would like to thank two anonymous referees for their helpful comments and suggestions on an earlier draft of the paper.

References
Grants

 

DC FieldValueLanguage
dc.contributor.authorLi, ZCen_HK
dc.contributor.authorLam, WHKen_HK
dc.contributor.authorWong, SCen_HK
dc.contributor.authorHuang, HJen_HK
dc.contributor.authorZhu, DLen_HK
dc.date.accessioned2010-05-31T03:32:30Z-
dc.date.available2010-05-31T03:32:30Z-
dc.date.issued2008en_HK
dc.identifier.citationNetworks And Spatial Economics, 2008, v. 8 n. 4, p. 355-381en_HK
dc.identifier.issn1566-113Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/58558-
dc.description.abstractThis paper presents a fixed-point model for evaluating the reliability of stochastic and time-dependent networks with multiple parking facilities. The proposed model combines a supply model that simulates the time-dependent attributes of road and parking supplies and their variations with a demand model that simultaneously considers heterogeneous travelers' choices on departure time, route and parking location. In the proposed model, travelers are differentiated by their values of time, and parking locations are characterized by facility type. Schedule reliability and parking reliability are introduced as new performance indices for the evaluation of the level of service of a road network during time of day. A heuristic solution algorithm that uses a combination of the Monte Carlo simulation approach with the method of successive averages is proposed to estimate these two reliability measures. Numerical results show that the reliability performances of road networks are significantly influenced by the network congestion level and the capacities of road and parking facilities. The proposed model provides some new insights for assessing the impacts of various transport policies and infrastructure improvements at a strategic level. © Springer Science+Business Media, LLC 2007.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1566-113xen_HK
dc.relation.ispartofNetworks and Spatial Economicsen_HK
dc.subjectFixed-point modelen_HK
dc.subjectHeterogeneous travelersen_HK
dc.subjectMonte Carlo simulationen_HK
dc.subjectMultiple parking facilitiesen_HK
dc.subjectReliabilityen_HK
dc.subjectStochastic and time-dependent networken_HK
dc.titleReliability evaluation for stochastic and time-dependent networks with multiple parking facilitiesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1566-113X&volume=8&spage=355&epage=381&date=2008&atitle=Reliability+evaluation+for+stochastic+and+time-dependent+networks+with+multiple+parking+facilitiesen_HK
dc.identifier.emailWong, SC:hhecwsc@hku.hken_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11067-007-9018-7en_HK
dc.identifier.scopuseid_2-s2.0-53349177073en_HK
dc.identifier.hkuros152586en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-53349177073&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume8en_HK
dc.identifier.issue4en_HK
dc.identifier.spage355en_HK
dc.identifier.epage381en_HK
dc.identifier.isiWOS:000259575000002-
dc.publisher.placeUnited Statesen_HK
dc.relation.projectPlanning of a land use and transportation system with multiple market segments-
dc.identifier.scopusauthoridLi, ZC=26643300400en_HK
dc.identifier.scopusauthoridLam, WHK=7203022024en_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK
dc.identifier.scopusauthoridHuang, HJ=7405610915en_HK
dc.identifier.scopusauthoridZhu, DL=7403598731en_HK

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