Analysis And Evaluation Of Key Accident Sources In Metro Accident Chain Networks Based On Complex Network Theory

Since the 21 st century,China’s subway has been developing rapidly,full swing construction,The uncertainties of the internal and external environment in the operation of large cities such as Beijing,Shanghai and other mature cities have also gradually increased,resulting in subway accidents from time to time,identifying key accidents,and identifying key accident nodes Focus on monitoring and prevention to avoid major accidents,and the operation safety of the subway is guaranteed.Integrate and classify accidents,and use the accident tree method to merge into the network,accident conduction as edges,and the number of accident conduction occurrences as weights to better represent the characteristics of accident chain networks.The Pagerank algorithm of the importance of the webpage draws a sequence of node attacks,random attacks,deliberate attacks,simulation and accident prevention and monitoring,and compares vulnerabilities,analyzes the fluctuation range of indicators,and aims to find out the order of important nodes.Taking the subway accidents in Beijing and Shanghai as examples,a subway accident chain network is constructed and an example is analyzed.The research shows that: Pagerank algorithm obtains the accident source of the Beijing-Shanghai subway accident chain network.In this method,the network indicators change more when the key accident source nodes are sequentially attacked.It is more suitable for the accident chain network to find the key accident source.The social network PageRank can be applied to complex networks,and it is more suitable for the calculation of key accident sources for directed and authorized networks.