Abstract
There are many types of accidents with their own characteristics in hydropower construction. The accidents are mainly results of human errors. It is important to find out the routes to failure and give recommendations pertinently for different accident types. First, 869 accident investigation reports are collected and the human factors are filtered using the Human Factors Analysis and Classification System (HFACS) framework, the norms which link the accident causes and human factors are also explored, the first three accident types are determined by the frequency statistics. The ranking of the factors and the norms of the three accident types is presented using the frequency statistics. The Chi-square, lambda and odds ratios are used to analyze the interdependences between adjacent level factors of three highest frequency accident types. At last, based on the correlation analysis between different human factors, the routes to failure can be determined; containing the norm frequency of factors, the safety recommendations are given to the different accident types pertinently. The results can be auxiliary and effective information for safety managers to conduct scientific and pertinent safety managements.
Highlights
The safety risk of hydropower construction is more significant than the one presented in construction situations, as a result of complex construction environment, large numbers of construction workers, various types of work and various stages of cross-operation and other reasons (Jia et al 2012; Jiang et al 2014; Zhou et al 2014; Liu et al 2005)
The human factors are filtered from the 869 accident investigation reports collected from the hydropower enterprises in the year of 1976 to 2017 with Human Factors Analysis and Classification System (HFACS) framework
The ranking of human factors and the norms in the first three occurred accidents are given based on the frequency statistics
Summary
The safety risk of hydropower construction is more significant than the one presented in construction situations, as a result of complex construction environment, large numbers of construction workers, various types of work and various stages of cross-operation and other reasons (Jia et al 2012; Jiang et al 2014; Zhou et al 2014; Liu et al 2005). Haslam et al (2005) studied the cases and found that 70% of the accidents were caused by workers or work teams; Suraji et al (2001) identified that 88% of the accidents in construction projects involved unsafe behaviors; they supported the fact that the accidents are mainly results of human errors. Human error analysis in work systems to explore their root causes is an important study of mechanism of the accident occurrence, and the basis for carrying out a scientific and standardized management of enterprises (Tamborello, Trafton 2017), which has vital significance for safety management of hydropower construction. One of the earliest studies of human errors is the domino theory of Heinrich (1931) He raised five sequential dominos of accidents causation chain and the second part is the fault of a person.
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