With the expansion of the city and the rapid development of public transport, the subway as a mass public transport means to bear a very large number of passengers, so that in the morning and evening rush hour, some subway stations are almost saturated. Once a disaster happens in a subway station, the saturated space environment makes it difficult for passengers to evacuate. In addition, the subway station is usually located underground, buried depth of about 10m-30m, the accident station passengers have to overcome their own gravity to the ground to escape, which increases the difficulty of passenger evacuation.Fire is one of the biggest security hidden dangers in subway operation. Once it happens, it will bring huge loss to the safety of social resources and people's life and property. On the basis of summarizing the present situation of fire evacuation in urban rail transit stations at home and abroad, this paper firstly analyzes and studies the factors that affect the fire evacuation ability of stations. Then through the station fire evaluation index to build the safety evacuation evaluation index system. Finally, through the VR technology, computer simulation, field investigation and other methods to quantify the index, the Fuzzy Network analysis of the station fire safety evacuation capacity comprehensive evaluation and put forward targeted countermeasures and suggestions.