Abstract:

In order to clarify causes of housing construction accidents and their correlations, and to effectively identify the key causal factors and their propagation paths in the process of housing construction, this study collected 394 cases of housing construction accidents between 2015 to 2020. According to the classification standard of dangerous and harmful factors, the risk terms with similar semantics were classified into one category, and the cause factors were extracted, classified and coded. A cause transmission path was established for each incident. The housing construction accident cause network model composed of 95 nodes and 340 links was constructed by using Gephi software. Next, the topological characteristics of the cause network were analyzed by calculating topological parameters such as node degree and weight coefficient. Considering the classification assignment and severity of total degree value of nodes, the ABC classification method was used to propose the calculation method of the importance of cause factors. The results show that the list of causal factors includes 28 key factors, 27 important factors and 31 general factors. Further analysis obtains 24 node pairs with strong correlation, 5 high-frequency cause factor propagation paths and distribution of causal factors of 5 typical accidents.

Key words: housing construction, accident cause factor, propagation path, complex network, activity based classification classification