Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96013
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorXu, Men_US
dc.creatorLam, WHKen_US
dc.creatorGao, Zen_US
dc.creatorGrant-Muller, Sen_US
dc.date.accessioned2022-11-01T03:38:37Z-
dc.date.available2022-11-01T03:38:37Z-
dc.identifier.issn2168-0566en_US
dc.identifier.urihttp://hdl.handle.net/10397/96013-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2016 Hong Kong Society for Transportation Studies Limiteden_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica B: Transport Dynamics on 02 Feb 2016 (published online), available at: http://www.tandfonline.com/10.1080/21680566.2015.1135764.en_US
dc.subjectActivity-based approachen_US
dc.subjectBi-level programming modelen_US
dc.subjectGenetic algorithmen_US
dc.subjectLand use and transportation network optimisationen_US
dc.subjectSustainable urban developmenten_US
dc.titleAn activity-based approach for optimisation of land use and transportation network developmenten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage111en_US
dc.identifier.epage134en_US
dc.identifier.volume4en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1080/21680566.2015.1135764en_US
dcterms.abstractThis paper tentatively makes use of an activity-based approach to investigate the optimisation problem of land use allocation and transportation network enhancement, in which the budget for investment and some other constraints are given for the purpose of sustainable urban development. To make investigation on residential and employment development as well as road link capacity expansions for short-term strategic planning purposes, a new bi-level programming model is proposed to capture the interactions between land use and transportation network development together with their impacts on activity-travel choice behaviours. The lower level of the proposed model is used to model the choice behaviour of commuters on activity chain, departure time, path and activity scheduling duration simultaneously over the time of day, while the upper level is to maximise the population allocation and network enhancement subject to a set of given constraints. A heuristic solution method is developed to solve the proposed bi-level model. Finally, two numerical examples are presented to demonstrate the application of the proposed model and solution algorithm together with some insightful findings.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportmetrica. B, Transport dynamics, 2016, v. 4, no. 2, p. 111-134en_US
dcterms.isPartOfTransportmetrica. B, Transport dynamicsen_US
dcterms.issued2016-
dc.identifier.scopus2-s2.0-84958054350-
dc.description.validate202211 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-2511-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; National Basic Research Program of China; EU Marie Curie IIFen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6616353-
dc.description.oaCategoryGreen (AAM)en_US
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