| In order to prevent accidents,it is very important to evaluate the safety risks of subway operation.At present,there are many risk assessment methods,but because there are many factors leading to subway accidents,and the factors are mutually affecting and complex,these methods are difficult to accurately identify the influencing factors and their complex relationship,so it is necessary to further study the subway risk assessment methods,and put forward safety countermeasures.Using Python web crawler technology,the relevant contents of sudden operation information of real name authentication users on social platform are crawled,the single factor and time series visual analysis of subway operation accident information are carried out,and the key factors affecting subway operation and the characteristics of accident types are obtained.Based on the dematel-ism model,this thesis explores the complex relationship between the influencing factors of subway accidents,calculates the cause degree and centrality of the influencing factors respectively,establishes a multi-level hierarchical structure diagram,analyzes the influence relationship and hierarchical structure among the factors,and intuitively shows the key factors affecting subway operation safety.The relative entropy aggregation order relation method and entropy weight method are used to judge the weight of each influencing factor,and the operation safety risk assessment model of Shijiazhuang metro is established.According to the evaluation results,the system dynamics model of subway operation safety level is established,and the subway operation safety level and each subsystem are simulated by using Vensim ple software.The simulation results show that when the safety investment ratio of personnel,equipment and facilities,environment and management is 3:2:1:4,the safety level value of subway operation system is the highest.This thesis puts forward the Countermeasures of subway operation safety management. |
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