Globally, the use of electric vehicles is growing quickly as cities work to encourage sustainable transportation options and lower greenhouse gas emissions. However, the availability and optimal placement of charging infrastructure remain major challenges for many urban areas. In order to analyze and improve the infrastructure for charging electric vehicles in Sarajevo, Bosnia and Herzegovina, this study proposes a data-driven method. To determine the present distribution of charging stations and spot possible coverage gaps, the suggested approach combines geospatial analysis, publicly accessible datasets, and urban characteristics like population density and points of interest. The study identifies regions with low charging accessibility and makes data-supported recommendations for future infrastructure improvement using visualization and analytical tools. The findings show how data-driven decision-support tools may help energy companies, city planners, and policymakers create effective and sustainable EV charging networks.

Electric vehicles charging stations infrastructure optimization spatial analysis Sarajevo Canton EV charging infrastructure