Emergencies on urban rail transit (URT) rely on understanding passenger flow. It is necessary to study the characteristics of passenger flow and determine the scope of the emergency in a timely and reasonable fashion. This paper uses an impact analysis method of passenger volume under emergent condition of URT using automated fare collection (AFC) data. Based on the method, the affected scope is determined, and the analysis methods of the characteristics of passenger flow within emergent impact scope can be proposed. Lastly, combining with AFC data of Beijing URT, this paper analyzes spatial and temporal distribution characteristics, change characteristics of passenger volume at key stations and the number of stations affected by the emergent event, and summarizes passenger flow change rule under emergent condition. This quantitative analysis method has universal applicability in providing support for distribution of passenger flow, predicting passenger flow, and early warning of URT emergency.
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