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Allocation of Electric Vehicle Charging Stations in Urban Areas Using GIS
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| Author(s) |
Yiwen GU, Berk CELIK, Maxime HACHETTE, Fabrice LOCMENT, Manuela SECHILARIU |
| Abstract |
The current EV charging points can be inadequately equipped to meet the rapidly increasing battery charging demand of EVs. Therefore, in this paper, a Geographic Information System (GIS)-based Multiple-criteria decision analysis (MCDA) approach is adopted to help providing a solution of charging points location problem. Furthermore, the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are used to select the optimal charging station site. A five-step approach is developed: determination of 14 criteria across four perspectives, spatial analysis using QGIS, criteria prioritization with AHP, site ranking in use of TOPSIS, and site capacity estimation. By integrating these methodologies, optimal charging point locations can be identified while ensuring effective deployment and utilization of EV charging infrastructure. Through a complete and considerate analysis, the study identifies the three most appropriate alternative locations for EVs including photovoltaic power. |
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| Filename: | 0319-epe2025-full-15575775.pdf |
| Filesize: | 1.22 MB |
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| Type |
Members Only |
| Date |
Last modified 2025-08-31 by System |
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