Optimizing pricing policies in Park-and-Ride facilities: A model and decision support system with application

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dc.contributor.author Kepaptsoglou, K en
dc.contributor.author Karlaftis, MG en
dc.contributor.author Li, Z-Z en
dc.date.accessioned 2014-03-01T01:34:02Z
dc.date.available 2014-03-01T01:34:02Z
dc.date.issued 2010 en
dc.identifier.issn 10096744 en
dc.identifier.uri http://hdl.handle.net/123456789/20660
dc.subject Decision support system en
dc.subject Genetic algorithm en
dc.subject Optimization en
dc.subject Park-and-ride en
dc.subject Pricing policy en
dc.subject Pricing scheme en
dc.subject Shared use en
dc.subject Urban traffic en
dc.title Optimizing pricing policies in Park-and-Ride facilities: A model and decision support system with application en
heal.type journalArticle en
heal.identifier.primary 10.1016/S1570-6672(09)60063-5 en
heal.identifier.secondary http://dx.doi.org/10.1016/S1570-6672(09)60063-5 en
heal.publicationDate 2010 en
heal.abstract Park-and-ride facilities are of major importance to the attractiveness and operation of modern transit systems because travelers tend to prefer public transportation when they are able to combine the use of these facilities with their private vehicles. Among those elements examined when developing/operating a park-and-ride facility is the pricing policy to be established for its users. Indeed, the pricing policy is among those tools that can aid transportation agencies in managing park-and-ride facilities, by providing incentives or disincentives of parking for various categories of users. This paper contributes to the literature by offering a new approach for obtaining optimal pricing schemes for a parking facility, with respect to its financial viability. In particular, a financial analysis model is combined with a genetic algorithm for determining the optimal pricing parameters for park-and-ride facilities. The model is applied for a shared-use, park-and-ride facility of the Athens metro network in Greece. Results of the computational study indicate that the model can offer near optimal pricing schemes in a short amount of time. A decision support system is also developed for incorporating the model in a user friendly computerized framework. en
heal.journalName Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology en
dc.identifier.doi 10.1016/S1570-6672(09)60063-5 en
dc.identifier.volume 10 en
dc.identifier.issue 5 en
dc.identifier.spage 53 en
dc.identifier.epage 65 en

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