Abstract
According to risk characteristics of crowd crushing and trampling accidents in subway stations, Data Envelopment Analysis (DEA) method has been put forward to assess the risk of crowd crushing and trampling accidents in subway stations. By constituting risk input and output index system of crowd crushing and trampling accidents in subway stations, and introducing limiting weight factors to DEA classical model of BBC, the risk assessment model of crushing and trampling accidents in subway stations is established and applied in 13 subway stations in Beijing. The results agree with the actual conditions fairly well.
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