Existing studies in the planning of ultra-high power charging and switching stations lack a comprehensive depiction of user behavioral variability and stochasticity and the consideration of collaborative planning of distributed flexible resources such as photovoltaic and energy storage in the station. To this end, a two-tier siting and capacity determination method for integrated photovoltaic and energy storage charging and switching power stations involving multiple coupling factors is proposed. First, an electric vehicle charging and switching load prediction model considering user travel characteristics, temperature, and real-time road conditions is constructed. Second, to take into account user charging and switching needs and secure and economic development of distribution networks, photovoltaic and energy storage facilities are used for energy buffer, and their output is modeled in a refined manner. Additionally, a two-tier planning model for photovoltaic and energy storage charging and switching stations is constructed, with the upper model taking the optimal annualized return of charging and switching stations as the target for siting and the lower model taking the shortest distance from users to stations as the target for determining the service range of charging and switching stations. The results are fed back to the upper model, and the capacity determination is optimized in combination with prediction results. Finally, the validity of the proposed model and method is verified by taking the topology of the road network and IEEE 33 node distribution network coupling for example. The study shows that the method can make the ultra-high power charging facilities reasonably integrate with the charging and switching stations and provide theoretical and technical support for the planning of urban charging infrastructure.