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Article: Time-dependent transport network design that considers health cost

TitleTime-dependent transport network design that considers health cost
Authors
Issue Date2015
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21
Citation
Transportmetrica A: Transport Science, 2015, v. 11 n. 1, p. 74-101 How to Cite?
AbstractThis paper proposes a bi-level optimisation framework for time-dependent discrete road network design that considers health impacts. A general health cost function is proposed and captured in the framework. The function simultaneously considers the health impacts of road traffic emissions, noise, and accidents due to network expansion. To solve the problem, the artificial bee colony (ABC) algorithm is proposed to search the network design solutions of the upper-level problem, while the method of successive averages and the Frank–Wolfe algorithm are adopted to solve the lower-level time-dependent land-use transportation problem. A repairing procedure is proposed to remedy infeasible solutions. A numerical study is set up to illustrate the conflict between maximising consumer surplus and minimising the health cost. This paper also reveals a paradox phenomenon that with an increasing amount of emissions, the health cost decreases. Moreover, the existence of a health inequity between different residential zones is demonstrated. A modified Sioux Falls network is adopted to show the performance of the solution algorithm as well as the effectiveness of the proposed repairing procedure.
Persistent Identifierhttp://hdl.handle.net/10722/202643
ISSN
2015 Impact Factor: 1.477
2015 SCImago Journal Rankings: 1.352

 

DC FieldValueLanguage
dc.contributor.authorJiang, Yen_US
dc.contributor.authorSzeto, WYen_US
dc.date.accessioned2014-09-19T09:14:11Z-
dc.date.available2014-09-19T09:14:11Z-
dc.date.issued2015en_US
dc.identifier.citationTransportmetrica A: Transport Science, 2015, v. 11 n. 1, p. 74-101en_US
dc.identifier.issn2324-9935-
dc.identifier.urihttp://hdl.handle.net/10722/202643-
dc.description.abstractThis paper proposes a bi-level optimisation framework for time-dependent discrete road network design that considers health impacts. A general health cost function is proposed and captured in the framework. The function simultaneously considers the health impacts of road traffic emissions, noise, and accidents due to network expansion. To solve the problem, the artificial bee colony (ABC) algorithm is proposed to search the network design solutions of the upper-level problem, while the method of successive averages and the Frank–Wolfe algorithm are adopted to solve the lower-level time-dependent land-use transportation problem. A repairing procedure is proposed to remedy infeasible solutions. A numerical study is set up to illustrate the conflict between maximising consumer surplus and minimising the health cost. This paper also reveals a paradox phenomenon that with an increasing amount of emissions, the health cost decreases. Moreover, the existence of a health inequity between different residential zones is demonstrated. A modified Sioux Falls network is adopted to show the performance of the solution algorithm as well as the effectiveness of the proposed repairing procedure.-
dc.languageengen_US
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21-
dc.relation.ispartofTransportmetrica A: Transport Scienceen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 30 Jun 2014, available online: http://www.tandfonline.com/doi/abs/10.1080/23249935.2014.927938-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleTime-dependent transport network design that considers health costen_US
dc.typeArticleen_US
dc.identifier.emailSzeto, WY: ceszeto@hku.hken_US
dc.identifier.authoritySzeto, WY=rp01377en_US
dc.description.naturepostprint-
dc.identifier.doi10.1080/23249935.2014.927938-
dc.identifier.hkuros236083en_US
dc.identifier.volume11-
dc.identifier.issue1-
dc.identifier.spage74-
dc.identifier.epage101-
dc.publisher.placeUnited Kingdom-

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