| Urban rail transit has become backbone strength of urban public transport, China's economic rapid development propose more effective demand for urban rail transit network. In recent years, a number of large-scale activities with international and domestic influence have held frequently, they will produce a lot of unexpected passenger flow, so bring severe challenges to the normal operation of the urban rail transit. The propagation and influence of unexpected passenger flow in urban rail transit network have become an urgent problem that the managers have to face.The complex network theory is the foreland of the system theory, it laid the theoretical foundation for further study on the traffic network characteristics, dynamic process and the topological structure and other issues. At the same time, it can be used in the research of urban rail transit network from a new point of view.In this paper, we analysis the demographic statistical characteristics of urban rail transit network from perspective of complex network, then use urban rail transit network unexpected passenger flow evolution simulation model to simulate dynamic propagation process of unexpected passenger flow in urban rail transit network, we analysis spreading scope and influence of unexpected passenger flow, and obtain relationship between network statistical characteristic and passenger flow, finally from complex network transmission dynamics, model of unexpected passenger flow propagation have been established based on SIR theory. We find that unexpected passenger flow has impacted on the urban rail transit network through simulating, the rail transit network propagation character is related to the quantity of sides and nodes, and is closely related to the network topology.This paper mainly makes use of complex network theory to analyze unexpected passenger flow propagation in urban rail transit network, by discuss the influence of unexpected passenger flow, makes the theory support for emergency and decision.
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