Abstract: Model and algorithm deduced from urban rail line network passenger flow data based on public transportation card are adopted to analyze and reconstruct the passenger flow stock at each station before and after important events. The retrieved passenger flow data can reflect objectively how the impact of important event on the station where it occurred and the neighboring stations evolved over time. On this basis, the impact factors of important event at each station in urban rail transit line network are defined, which reflect objectively at what level the important event is influencing each station. The empirical analysis has shown the reliability and effectiveness of the impact analysis model of urban rail transit important event based on public transportation card data.