There is a problem in that most existing electric vehicle (EV) charging station planning ignores the upper limit of distribution network capacity. Also, considering the single coupling relationship between transportation, fast charging and distribution network, leads to large amount of EV access and uneven distribution network partition. Thus a joint planning model of EV fast charging stations and distribution network based on a traffic-electricity equilibrium coupling model is proposed. First, data mining and travel feature fusion are carried out based on massive online hailing order data. Then, an equilibrium partition coupling model is proposed, and on this basis, a two-layer joint programming model of EV fast charging station and distribution network is established. This is analyzed by a combination of genetic algorithm and mixed integer linear programming. Finally, based on the main road network in Chengdu, with a 54-node distribution network as an example to carry out the simulation analysis, the results show that the presented double joint planning model has a certain feasibility, and the coupling model can optimize the distribution network partition results, to a certain extent, and improve the security and stability of the distribution network.