Analysis of the Causes of Safety Risks of Rural Self-built Houses Based on Case Mining
In order to gain a comprehensive understanding of the safety risks associated with rural self-built houses and identify the key causal factors influencing rural self-built house safety accidents,a total of 86 typical rural self-built house construction safety accident investigation reports were collected between 2014 and 2022.Text mining technology was employed to analyze the accident investigation report,resulting in the extraction of 36 risk factors affecting the safety production of self-built houses in rural areas in a data-driven manner.The Apriori algorithm was employed to identify the significant correlation between risk factors,and a Bayesian network model was constructed on this foundation.Through critical link analysis and sensitivity analysis,the primary causes,sensitive factors,and the most probable cause chain of rural self-built house safety accidents were elucidated.The method overcomes the influence of subjective will on the part of experts by using objective data to analyze rural self-built house safety accidents in depth.It thereby provides a reference for the establishment of a sound long-term management mechanism for rural self-built house safety risks.
NETL
NSTL
万方数据
