Optimizing Electric Vehicle Charging Station Location on Highways: A Decision Model for Meeting Intercity Travel Demand

dc.contributor.author Gulbahar, Ibrahim Tumay
dc.contributor.author Sutcu, Muhammed
dc.contributor.author Almomany, Abedalmuhdi
dc.contributor.author Ibrahim, Babul Salam K. S. M. Kader
dc.contributor.authorID 0000-0001-9192-0782 en_US
dc.contributor.authorID 0000-0002-8523-9103 en_US
dc.contributor.department AGÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü en_US
dc.contributor.institutionauthor Gulbahar, Ibrahim Tumay
dc.contributor.institutionauthor Sutcu, Muhammed
dc.date.accessioned 2024-01-15T08:53:52Z
dc.date.available 2024-01-15T08:53:52Z
dc.date.issued 2023 en_US
dc.description.abstract Electric vehicles have emerged as one of the top environmentally friendly alternatives to traditional internal combustion engine vehicles. The development of a comprehensive charging infrastructure, particularly determining the optimal locations for charging stations, is essential for the widespread adoption of electric vehicles. Most research on this subject focuses on popular areas such as city centers, shopping centers, and airports. With numerous charging stations available, these locations typically satisfy daily charging needs in routine life. However, the availability of charging stations for intercity travel, particularly on highways, remains insufficient. In this study, a decision model has been proposed to determine the optimal placement of electric vehicle charging stations along highways. To ensure a practical approach to the location of charging stations, the projected number of electric vehicles in Türkiye over the next few years is estimated by using a novel approach and the outcomes are used as crucial input in the facility location model. An optimization technique is employed to identify the ideal locations for charging stations on national highways to meet customer demand. The proposed model selects the most appropriate locations for charging stations and the required number of chargers to be installed, ensuring that electric vehicle drivers on highways do not encounter charging problems. en_US
dc.description.sponsorship This research received no external funding and the APC was funded by the Gulf University for Science and Technology. en_US
dc.identifier.endpage 17 en_US
dc.identifier.issn 2071-1050
dc.identifier.issue 24 en_US
dc.identifier.other WOS:001131091500001
dc.identifier.startpage 1 en_US
dc.identifier.uri https://doi.org/10.3390/su152416716
dc.identifier.uri https://hdl.handle.net/20.500.12573/1894
dc.identifier.volume 15 en_US
dc.language.iso eng en_US
dc.publisher MDPI en_US
dc.relation.isversionof 10.3390/su152416716 en_US
dc.relation.journal SUSTAINABILITY en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject urban studies en_US
dc.subject electric vehicle en_US
dc.subject charging station en_US
dc.subject time series analysis en_US
dc.subject facility location en_US
dc.title Optimizing Electric Vehicle Charging Station Location on Highways: A Decision Model for Meeting Intercity Travel Demand en_US
dc.type article en_US

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