Site selection for EVCS in Istanbul by GIS and multi-criteria decision-making |
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| Affiliation: | 1. Erzurum Technical University, Faculty of Engineering and Architecture, Department of Civil Engineering, Erzurum, Turkey;2. Atatürk University, Faculty of Engineering, Department of Civil Engineering, Erzurum, Turkey;1. Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu, PR China;2. Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA;1. Division of Building Science and Technology, City University of Hong Kong, Kowloon, Hong Kong;2. Department of Energy and Built Environment, Dalarna University, Falun, Sweden;3. Sustainable Buildings Research Centre, University of Wollongong, Australia;4. Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong;5. City University of Hong Kong Shenzhen Research Institute, Shenzhen, PR China;1. School of Economics and Management, North China Electric Power University, Beijing 102206, China;2. Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing, 102206, China;3. Strategic and Economic Research Department, Central Research Institute, State Power Investment Corporation, Beijing 102209, China;4. The Economic and Technological Research Institute of Sichuan Electric Power Company of State Grid Corporation, Chengdu 610041, China;1. School of Economics and Management, North China Electric Power University, Beijing 102206, China;2. School of Natural Resources and Environment, University of Michigan, Ann Arbor, MI 48109-1041, USA |
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| Abstract: | Considering the depletion of fossil fuels and the environmental impact of transport, reducing the use of such fuels is a globally accepted priority. Thus, when moving towards alternative energy types, the first will undoubtedly be electrical energy. In order to accelerate and contribute to this process, electric vehicles (EV) must be preferred over conventional motor vehicles. However, there are various problems associated with the use of EVs, such as range and recharge status. Optimal planning of electric vehicle charging stations (EVCS) is a solution to these problems. For this purpose, parameters affecting EVCS locations have been determined in the paper. Considering these parameters and the current EVCS locations, the most suitable alternative EVCS locations were identified using Geographical Information Systems (GIS). Both the current and alternative EVCS locations were evaluated by Analytic Hierarchy Process (AHP), Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), and VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) from multi-criteria decision-making (MCDM) methods. The results show that, in Istanbul, the southeast of the European side and the southwest of the Anatolian side were most suitable for EVCS. |
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| Keywords: | GIS AHP VIKOR PROMETHEE Istanbul Electric vehicle charging station |
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