Passenger flow assignment is one of the key technologies for planning, evaluating, operating and management of urban rail transit network. The main influencing factors of passenger travel behavior are analyzed, and angular cost is introduced to indicate the role of route information in the map guiding passengers travel. The generalized cost function of passenger travel is defined to quantify the utility value of passenger travel by considering the in-train time, waiting time, transfer cost, congestion cost and angular cost. Considering the influence of the overlap between effective paths on the path selection probability, a path-scale Logit model is proposed by adding the path-scale adjustment utility value to the utility function. Taking Beijing Subway as an example, this paper constructs a generalized passenger travel cost function, searches for effective paths, cleans AFC data, and calculates passenger flow distribution by using Matlab software. The results show that the path-scale Logit model can be used to calculate passenger flow distribution in large-scale urban rail transit network, and the path selection probability error of the path-scale Logit model is reduced by 24.32% comparing with the existing models, so the passenger flow assignment accuracy is improved. The path-scale Logit model has good applicability and validity, which is of great significance to improve the scientific planning level and reduce the operational safety risk of urban rail transit network. Key words: urban rail transit, passenger flow assignment, path size Logit model, angular cost

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