充电站选址数智化评估平台研究OA

In the context of rapid development of charging stations,site selection needs to shift from single-cost optimization to multi-objective decision-making.To address the limitations of traditional models in"destination charging"scenarios,this study has constructed a four-dimensional quantitative assessment model integrating multi-source spatiotemporal data and has developed a corresponding digital platform.The model covers four dimensions:"scene value","dynamic competition","engineering constraints",and"network synergy".Combined with a human-machine mixed decision-making process of"online intelligent screening and offline professional review",the model promotes the shift of site selection from"experience-driven"to"data-driven".Through empirical validation of more than 360 sites,the platform has significantly improved site selection efficiency and return on investment,providing a universal digital method for site selection of physical services with network effects,such as charging facilities.