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2013 (Vol. 5, Issue: 13)
Article Information:

An Analysis of Construction Accident Factors Based on Bayesian Network

Yunsheng Zhao and Jinyong Pei
Corresponding Author:  Yunsheng Zhao 

Key words:  Bayesian networks, construction accident factors, posterior probability, prior probability, , ,
Vol. 5 , (13): 3567-3570
Submitted Accepted Published
July 27, 2012 September 17, 2012 April 15, 2013
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.
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  Cite this Reference:
Yunsheng Zhao and Jinyong Pei, 2013. An Analysis of Construction Accident Factors Based on Bayesian Network.  Research Journal of Applied Sciences, Engineering and Technology, 5(13): 3567-3570.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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