In recent years, a transformative shift in automotive preferences towards Battery Electric Vehicles (BEVs) has gained momentum, driven by their environmental advantages and economic efficiency compared to traditional Internal Combustion Engine cars. This project focuses on Istanbul, Turkey's most populous city, where transportation demands are high. The primary aim is to predict the future demand for electric vehicles in Istanbul and propose a model for optimizing the distribution of new charging stations across the city. This initiative seeks to decrase the range anxiety among EV users by strategically locating charging infrastructure.

The research employs a forward-looking methodology, projecting the number of EVs in Istanbul's districts over the next 30 years. A tailored mathematical model, incorporating the S-curve structure to represent the adoption rate of EVs, will be developed. This model considers factors such as SEGE scores, reflecting the developmental status of each district, to refine projections. The temporal span is divided into six periods, each lasting five years from 2020 to 2050. Through this comprehensive analysis, optimal locations for electric charging stations in Istanbul will be identified at the conclusion of each period, offering a holistic strategy to alleviate range anxiety and foster sustainable growth in EV adoption.