The large-scale promotion of electric vehicles must be based on scientific planning of charging facilities. A layout planning method for electric vehicle charging stations in urban areas is proposed. First, taking the number of chargers in a charging station, the distance between the charging station and fast charging demand point, and the distance between charging stations as constraints, a siting and sizing model with the goal of minimizing the social annual cost of the charging stations is established. This is based on the prediction of electric vehicle fast charging demand distribution in urban areas. This model considers the interests of charging station, electric vehicle users and the power grid. Then, the model is analyzed by a Voronoi diagram combined with an improved particle swarm optimization algorithm. The service area of the charging station is divided by the Voronoi diagram, and the optimal solution is found by improved particle swarm optimization algorithm. In this way, the optimal siting and sizing plan of charging stations in the planning area is obtained. Finally, an urban area is taken as an example to verify the effectiveness of the proposed method. This work is supported by the National Natural Science Foundation of China (No. 52177110).