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dc.contributor.authorHu, Hongyu
dc.contributor.authorZhao, Dong
dc.contributor.authorZockaie, Ali
dc.contributor.authorGhamami, Mehrnaz
dc.date.accessioned2026-08-20T11:50:06Z
dc.date.available2026-08-20T11:50:06Z
dc.date.copyright2025/10/09
dc.date.issued2026
dc.identifier.otherJMENEA.MEENG-7010.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312736
dc.description.abstractAbstractThe growing adoption of electric vehicles (EVs) depends on well-planned charging infrastructure. However, many EV charging station design models treat site allocation and charger configuration as separate processes, leading to spatial-capacity ...
dc.publisherAmerican Society of Civil Engineers
dc.titleAI-Driven Decision Model for Simultaneous Site Allocation and Charger Configuration in Electric Vehicle Charging Station Design
dc.typeJournal Article
dc.journal.volume42
dc.journal.issue1
dc.journal.titleJournal of Management in Engineering
dc.identifier.doi10.1061/JMENEA.MEENG-7010
dc.journal.fristpage04025053-1
dc.journal.lastpage04025053-12
dc.page12
dc.treeJournal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 001
dc.contenttypeFulltext


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