GIS AND FUZZY AHP BASED AREA SELECTION FOR ELECTRIC VEHICLE CHARGING STATIONS

12 citations as recorded by crossref.

1. Determining optimal solar power plant (SPP) sites by technical and environmental analysis: the case of Safranbolu, Türkiye D. Arca et al. https://doi.org/10.1007/s11356-023-25879-9
2. Geo-Environmental Analysis on Specifying Solar Energy Power Plant (SEPP) Fields by GIS and Different Fuzzy AHP Methods D. ARCA & H. KESKİN ÇITIROĞLU https://doi.org/10.17798/bitlisfen.1290095
3. A hybrid suitability mapping model integrating GIS, machine learning, and multi-criteria decision analytics for optimizing service quality of electric vehicle charging stations A. Elomiya et al. https://doi.org/10.1016/j.scs.2024.105397
4. A GIS-based MCDM model for identifying optimal urban sustainable locations for electric vehicle charging stations: the case study of Cairo, Egypt S. Ali https://doi.org/10.1108/ARCH-11-2025-0536
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6. Application of multi-criteria decision analysis for optimal siting of electric vehicle charging stations in Oklahoma K. Momin et al. https://doi.org/10.1016/j.treng.2025.100325
7. Leveraging GIS to deploy demand-driven public charging infrastructure in an Indian Metropolitan city A. Desai & C. Patel https://doi.org/10.1007/s41324-023-00514-4
8. A Literature Review of MADM Applications for Site Selection Problems — One Decade Review from 2011 to 2020 S. Zolfani et al. https://doi.org/10.1142/S0219622021300019
9. Production of Flood Risk Maps of Inebolu Basin Using Different Fuzzy Analytic Hierarchy Process Methods D. ARCA & F. YALCİN https://doi.org/10.35341/afet.1137083
10. CBS ve makine öğrenmesi ile elektrikli araç şarj istasyonlarının yer seçimine etki eden kriterlerin belirlenmesi M. Mete https://doi.org/10.28948/ngumuh.1705574
11. Türkiye Elektrik Dağıtım Şirketlerinin Tedarik Sürekliliği Kalitesinin Bulanık AHP ve TOPSIS Yöntemleri ile Değerlendirilmesi A. Kayahan Karakul & A. Torun https://doi.org/10.18657/yonveek.1646370
12. Electromobility framework study: infrastructure and urban planning for EV charging station empowered by PV‐based microgrid M. Sechilariu et al. https://doi.org/10.1049/iet-est.2019.0032