Electric Vehicles Selection Based on Br?ko District Taxi Service Demands, a Multi-Criteria Approach

Traditional fuel-powered vehicle emissions have long been recognized as a major barrier to sustainable environment, and their minimization could ensure both economic support for the societal fundament pollution prevention. Electrifying light-duty fleets, such taxis, provide financial return well bring significant environmental improvements. This paper offers ranked selection of electric vehicles that are presently available on market, reviewed by taxi service representatives, own evaluation criteria influence this selection. provides stability when making decisions deploying stepwise weight assessment ratio analysis modified standard deviation method calculating subjective objective weights criteria, performing sensitivity determine how particular criterion affects multi-attributive border approximation area. A comparison ranking alternatives discovered change in value one affected alternatives. According research, led battery capacity its values, Volkswagen ID.3 Pro has best results is choice Br?ko District Bosnia Herzegovina. Furthermore, research demonstrated development purposes should strive extend range these while reducing charging time.