Electric vehicles (EVs) are gaining popularity in Thailand as an increasingly competitive, eco-friendly transportation option. However, the insufficient placement of battery charging has been a barrier to the widespread adoption of electric vehicles. In this study, we propose a recommendation system for EV charging locations to promote sustainability in smart cities. We utilize a distance function and k-nn algorithm to identify the most optimal locations to offer efficient coverage. To validate the effectiveness of our model, we conduct simulations for station placements in Chonburi, Thailand. Our proposed coverage model offers a novel approach to determining station locations, emphasizing proximity to existing gas stations and maximizing coverage. The ultimate objective is to identify ideal locations for smart city sustainability development and establish a theoretical foundation for deploying these new charging stations.