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Article: Network topological effects on the macroscopic Bureau of Public Roads function

TitleNetwork topological effects on the macroscopic Bureau of Public Roads function
Authors
Issue Date2016
PublisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21
Citation
Transportmetrica A: Transport Science, 2016, v. 12 n. 3, p. 272-296 How to Cite?
AbstractCost flow functions are a central class of models in the transport field because they are an essential ingredient of static user equilibrium traffic assignment and transport policy and planning analysis. Macroscopic cost flow (MCF) functions, which model travel cost at different levels of network use, have gained much attention in recent decades due to their potential applications in area-wide traffic management and control, and initial land-use planning. They are the collective outcomes of the responses of road users to the existing transportation network and the interactions between road users at different levels of traffic demand. Network topological effects have long been anticipated to be the primary factors governing the shape and performance of a network. However, few studies have investigated network topology. This paper aims to unveil the direct link between network topological metrics and the parameters of a specific MCF, in the form of macroscopic Bureau of Public Roads (MBPR) function, with the support of real-world data. Seventy-one 1 km × 1 km urban built-up regions were sampled in Hong Kong. The MBPR functions of the selected regions were calibrated using taxi global positioning system data. Intensive investigations revealed that the average number of junctions per unit distance and the road density were topological features correlating with the free-flow travel time and congestion sensitivity parameters of the MBPR function, respectively. A spatially variable MBPR function was established.
Persistent Identifierhttp://hdl.handle.net/10722/223204
ISSN
2015 Impact Factor: 1.477
2015 SCImago Journal Rankings: 1.352

 

DC FieldValueLanguage
dc.contributor.authorWong, W-
dc.contributor.authorWong, SC-
dc.date.accessioned2016-02-23T01:55:21Z-
dc.date.available2016-02-23T01:55:21Z-
dc.date.issued2016-
dc.identifier.citationTransportmetrica A: Transport Science, 2016, v. 12 n. 3, p. 272-296-
dc.identifier.issn2324-9935-
dc.identifier.urihttp://hdl.handle.net/10722/223204-
dc.description.abstractCost flow functions are a central class of models in the transport field because they are an essential ingredient of static user equilibrium traffic assignment and transport policy and planning analysis. Macroscopic cost flow (MCF) functions, which model travel cost at different levels of network use, have gained much attention in recent decades due to their potential applications in area-wide traffic management and control, and initial land-use planning. They are the collective outcomes of the responses of road users to the existing transportation network and the interactions between road users at different levels of traffic demand. Network topological effects have long been anticipated to be the primary factors governing the shape and performance of a network. However, few studies have investigated network topology. This paper aims to unveil the direct link between network topological metrics and the parameters of a specific MCF, in the form of macroscopic Bureau of Public Roads (MBPR) function, with the support of real-world data. Seventy-one 1 km × 1 km urban built-up regions were sampled in Hong Kong. The MBPR functions of the selected regions were calibrated using taxi global positioning system data. Intensive investigations revealed that the average number of junctions per unit distance and the road density were topological features correlating with the free-flow travel time and congestion sensitivity parameters of the MBPR function, respectively. A spatially variable MBPR function was established.-
dc.languageeng-
dc.publisherTaylor & Francis. The Journal's web site is located at http://www.tandfonline.com/loi/ttra21-
dc.relation.ispartofTransportmetrica A: Transport Science-
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 29 Jan 2016, available online: http://wwww.tandfonline.com/10.1080/23249935.2015.1129650-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleNetwork topological effects on the macroscopic Bureau of Public Roads function-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturepostprint-
dc.identifier.doi10.1080/23249935.2015.1129650-
dc.identifier.hkuros257086-
dc.identifier.volume12-
dc.identifier.issue3-
dc.identifier.spage272-
dc.identifier.epage296-
dc.publisher.placeUnited Kingdom-

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