Assessment of the factors affecting electric vehicle charging stations demand prediction

Electric vehicles (EVs) represent a pivotal sustainable mobility solution for urban decarbonization. This work investigates how proximity to main urban attraction points, such as restaurants, supermarkets, tourist sites, schools, and hospitals, influences EV charging demand within a fixed service range. Given the critical role of charging accessibility in mitigating EV range limitations, the study proposes a stepwise linear regression to quantify the relationship between charging station utilization and driving distances to nearby points of interest (POIs). Our analysis identifies statistically significant demand predictors, providing practical insights into strategic infrastructure planning. Applied to the Lombardy region, Italy, findings can support data-driven optimization of charging station placement, balancing urban accessibility with equitable spatial distribution. The results can contribute to sustainable urban mobility frameworks by integrating POI-based demand modelling into EV infrastructure expansion strategies.