Site selection for EVCS in Istanbul by GIS and multi-criteria decision-making

KAYA Ö., TORTUM A., ALEMDAR K. D., Codur M. Y.

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, cilt.80, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 80
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.trd.2020.102271
  • Dergi Adı: TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, EconLit, Environment Index, Geobase, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Civil Engineering Abstracts
  • Anahtar Kelimeler: GIS, AHP, VIKOR, PROMETHEE, Istanbul, Electric vehicle charging station, VEHICLE CHARGING STATIONS, EXTENDED VIKOR METHOD, PROMETHEE, AHP, CRITERIA
  • Atatürk Üniversitesi Adresli: Evet

Özet

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.