Construction and evolution analysis on event causal graph of operational risk events in rail transit
In order to clarify the evolutionary logic of fragmented and colloquial event information in the operational risk of rail transit,taking part of the contents of news about the operation risk events in rail transit as the data source,the event infor-mation and event relationship were extracted,and an event causal graph of the operation risk events in rail transit was con-structed by Neo4j.The Bert model,hierarchical clustering,and Levenstein distance were used to generalize the risk events.Furthermore,the logic relationship of generalized events was further clarified,and the evolution path and development direc-tion of operational risk events in rail transit were obtained.The results show that the silhouette coefficient in the hierarchical clustering method is greater than 0.9,which demonstrates the feasibility of the proposed method.The research results can pro-vide reference and support for risk prevention and emergency decision-making in rail transit operation.
万方数据
维普
