Abstract

In this study, we have an analysis of construction accident factors based on bayesian network. Firstly, accidents cases are analyzed to build Fault Tree method, which is available to find all the factors causing the accidents, then qualitatively and quantitatively analyzes the factors with Bayesian network method, finally determines the safety management program to guide the safety operations. The results of this study show that bad condition of geological environment has the largest posterior probability; therefore, it is the sensitive factor that might cause the objects striking accidents, so we should pay more attention to the geological environment when preventing accidents.

Keywords:

Bayesian networks, construction accident factors, posterior probability, prior probability,

References

Competing interests

The authors have no competing interests.

Open Access Policy

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Copyright

The authors have no competing interests.