Abstract: With the large-scale development of electric vehicles, it is of great significance to study how to effectively consider the traveling behavior mechanism of users and formulate rational charging prices for charging stations for the collaborative optimization and scheduling of power-transportation coupling networks. To solve this problem, this paper proposes a pricing strategy for charging stations in the power-transportation coupling network considering the user travel cost budget. Firstly, a transportation user equilibrium model considering the travel cost budget is established, and the equilibrium state is equivalently described through variational inequalities, so as to characterize the traveling demands and charging behaviors of electric vehicles. Secondly, a secondorder cone optimization model for distribution networks considering power reduction is constructed. The charging station pricing problem has been transformed into an optimization problem with variational inequality constraints, and an alternating iteration algorithm combined with an extra-gradient algorithm is designed to solve the problem. Finally, the effectiveness of the proposed model and methods is verified through a case, and the results show the necessity of considering the travel cost budget for charging pricing in coupling networks.