In recent years, with people’s increasing attention to environmental pollution and greenhouse effect, the number of electric vehicles (EVs) more in line with green development has grown rapidly and become a non-negligible part of the distribution system. At present, with the continuous growth of EV penetration, how to establish electric vehicle charging stations (EVCSs) with more reasonable location, more abundant capacity and higher utilization rate of charging facilities (CFs) have become an urgent problem to be solved. In this context, two-stage allocation of EVCS considering coordinated charging scenario is proposed. In the site selection stage, the driving distance of EV charging in the region has been taken into account, the distance weight coefficient is introduced. In the capacity planning stage, this paper fully considers the influence of EV charging behavior on EVCS capacity, and builds EV charging behavior model participating in temporal scheduling. The location and capacity planning scheme of EVCS proposed in this paper can fully reduce the extra driving distance generated by EV charging, improve the utilization rate of CFs, improve the safety and economy of distribution network, and make the location and capacity of EVCS more in line with the actual demand. The comprehensive model is established as a mixed integer second order cone programming (MISOCP) problem, and tested on a real urban area to demonstrate its effectiveness.