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dc.contributor.authorXiao-shi Yi
dc.contributor.authorBao-chuan Qi
dc.contributor.authorZheng-jun Yi
dc.date.accessioned2023-04-07T00:39:21Z
dc.date.available2023-04-07T00:39:21Z
dc.date.issued2022/09/01
dc.identifier.otherJHTRCQ.0000838.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289480
dc.description.abstractThis paper constructs a profit function based on statistical data for each charging pile and takes the shortest payback period as the objective function of charging pile location optimization, thus forming a charging pile location optimization model. The solution of the optimization model is transformed into the problem for searching the zero point of profit function by dichotomy. This provides data-based decision-making opportunity for investors to invest in charging piles. At the same time, it provides a convenient service environment for electric vehicle users, improves the competitiveness of new energy electric vehicles, speeds up fuel substitution, reduces exhaust emissions of fuel vehicles, and prevents air pollution.
dc.publisherASCE
dc.titleOptimized Location of Charging Piles for New Energy Electric Vehicles
dc.typeJournal Article
dc.journal.volume16
dc.journal.issue3
dc.journal.titleJournal of Highway and Transportation Research and Development (English Edition)
dc.identifier.doi10.1061/JHTRCQ.0000838
dc.journal.fristpage103-110
dc.journal.lastpage103_110_8
dc.page8
dc.treeJournal of Highway and Transportation Research and Development (English Edition):;2022:;Volume ( 016 ):;issue: 003
dc.contenttypeFulltext


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