In the context of electric-hydrogen-transportation coupling, an electric-hydrogen integrated station siting planning model based on users’ travel paths and charging characteristics is proposed. This addresses the problems of low resource utilization and dispersed spatial layout caused by the separate planning of hydrogen refueling stations and charging stations. The model analyzes the travel chain characteristics of new energy vehicle users and predicts the differentiated charging demand of electric and hydrogen vehicles using the improved Dijkstra algorithm; constructs an electric-hydrogen integrated station planning model that integrates the travel characteristics of the road network with the goal of minimizing the investment and user costs. It also integrates the cost-effectiveness of the users and the investors, and the constraints on the conversion of electric and hydrogen energy, and adopts the Voronoi diagram particle swarm algorithm to solve the model. The main urban area of a city is used as an example for analysis, and the advantages of the proposed model in enhancing the synergy of energy facilities are verified by comparing the effect of facility layout in different planning conditions. The results of the study show that the method can promote the elasticity of the transportation energy network while reducing the travel cost of users through the coupled charging analysis of electric-hydrogen integrated stations, and provide a solution that takes into account the technical feasibility and economic reasonableness for the planning of multi-energy complementary charging facilities.