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Article: Optimization of housing allocation and transport emissions using continuum modeling approach

TitleOptimization of housing allocation and transport emissions using continuum modeling approach
Authors
KeywordsContinuum modeling
Transport emission
Housing allocation pattern
Issue Date2012
PublisherEastern Asia Society for Transportation Studies (EASTS). The Journal's web site is located at https://www.jstage.jst.go.jp/browse/eastsats
Citation
Asian Transport Studies, 2012, v. 2 n. 1, p. 93-108 How to Cite?
AbstractThe impact of vehicle emissions on the global climate has drawn increasing concern in the past few decades. Patterns of housing development determine travel behaviors, thus affecting transport-related greenhouse gas emissions. Here, a bi-level model is established to describe the relationships among housing allocation, traffic volume, and CO2 emissions using a continuum modeling approach. The user-equilibrium condition is achieved in the lower-level, and the minimum CO2 emissions are obtained by optimization the housing allocation in the upper-level. A hypothetical city is considered with one central business district (CBD) and a road network that is densely distributed outside of the CBD. Several commuter classes with different values of time are considered. The finite element method, the Newton-Raphson algorithm, and the convex combination approach are applied to solve the constrained optimization problem established in the bi-level model. A numerical example is given to demonstrate the effectiveness of the method.
Persistent Identifierhttp://hdl.handle.net/10722/159420
ISSN

 

DC FieldValueLanguage
dc.contributor.authorYin, Jen_US
dc.contributor.authorWong, SCen_US
dc.contributor.authorSze, NNen_US
dc.date.accessioned2012-08-16T05:49:49Z-
dc.date.available2012-08-16T05:49:49Z-
dc.date.issued2012en_US
dc.identifier.citationAsian Transport Studies, 2012, v. 2 n. 1, p. 93-108en_US
dc.identifier.issn2185-5560-
dc.identifier.urihttp://hdl.handle.net/10722/159420-
dc.description.abstractThe impact of vehicle emissions on the global climate has drawn increasing concern in the past few decades. Patterns of housing development determine travel behaviors, thus affecting transport-related greenhouse gas emissions. Here, a bi-level model is established to describe the relationships among housing allocation, traffic volume, and CO2 emissions using a continuum modeling approach. The user-equilibrium condition is achieved in the lower-level, and the minimum CO2 emissions are obtained by optimization the housing allocation in the upper-level. A hypothetical city is considered with one central business district (CBD) and a road network that is densely distributed outside of the CBD. Several commuter classes with different values of time are considered. The finite element method, the Newton-Raphson algorithm, and the convex combination approach are applied to solve the constrained optimization problem established in the bi-level model. A numerical example is given to demonstrate the effectiveness of the method.-
dc.languageengen_US
dc.publisherEastern Asia Society for Transportation Studies (EASTS). The Journal's web site is located at https://www.jstage.jst.go.jp/browse/eastsatsen_US
dc.relation.ispartofAsian Transport Studiesen_US
dc.subjectContinuum modeling-
dc.subjectTransport emission-
dc.subjectHousing allocation pattern-
dc.titleOptimization of housing allocation and transport emissions using continuum modeling approachen_US
dc.typeArticleen_US
dc.identifier.emailYin, J: yinjun2005@gmail.comen_US
dc.identifier.emailWong, SC: hhecwsc@hku.hken_US
dc.identifier.emailSze, NN: nnsze@graduate.hku.hk-
dc.identifier.authorityWong, SC=rp00191en_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.11175/eastsats.2.93-
dc.identifier.hkuros202360en_US
dc.identifier.volume2en_US
dc.identifier.issue1-
dc.identifier.spage93en_US
dc.identifier.epage108en_US
dc.publisher.placeJapan-

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