Abstract:

With the increase in environmentally friendly vehicles, air and noise pollution caused by fossil fuel vehicles used in cities will decrease and the sustainability of cities will increase. Therefore, it is essential to complete the necessary infrastructure for electric vehicles to replace traditional fossil fuel vehicles quickly. One of the most critical infrastructure deficiencies that cause electric vehicles not to become widespread is the lack of a suitable charging station network. For this reason, a well-planned charging station network should be set in cities so that drivers and the traffic network are not adversely affected. Geographic Information Systems (GIS) based Multi-Criteria Decision Making (MCDM) systems effectively solve problems such as choosing a suitable site. This study aims to select a suitable site for the new electric vehicle charging station using GIS-based MCDM methods throughout the province of Ankara. For this purpose, 9 data layers were used to determine the most suitable site. These criteria are; population density, proximity to main roads, slope, proximity to shopping malls, proximity to official institutions and recreation areas, land value, proximity to petrol stations, proximity to transportation stations, and proximity to parking lots. The evaluation criteria used in the study were weighted and combined with the Fuzzy Analytical Hierarchy Method (FAHP), which is an MCDM method, and a suitable site selection map was created. Candidate areas for the new electric vehicle charging stations were selected from the suitability map.

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