煤矿员工不安全行为影响因素分析及预控研究
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摘要
论文在对不安全行为进行界定的基础上,结合知信行理论以及人的安全行为模式和行为认知过程,提出了煤矿员工不安全行为形成的六个环节及发生机理模型。运用事故致因理论,通过对我国2003-2013年煤矿伤亡事故统计,对影响煤矿员工不安全行为的因素从四个方面进行了理论分析,提出了含有27个指标的因素集合。通过编制调查问卷,采用因子分析法从因素集合中提取出了7个关键因子,建立了不安全行为影响因素的指标体系,在此基础上实证分析了不安全行为因素的相互影响及其作用路径,构建了不安全行为影响因素的结构方程模型,得出了安全氛围对不安全行为影响的总效应最大,其中安全认知对不安全行为影响的直接效应最大。最后开发了具有不安全行为管理、隐患管理、风险预警、在线学习与测试功能的煤矿员工行为安全管理系统,对煤矿员工的不安全行为进行预控管理。
On the basis of defining the unsafe behaviors, this thesis proposes six links that form the unsafebehaviors of the coal mine workers and the model of formation mechanism by combining with theKABP Model, human behavioral model and behavior cognitive process. By applying the accidentcausation theory and through the domestic casualty accident statistics of coal mine from2003to2013, this thesis theoretically analyzes the influencing factors of coal mine workers’ unsafebehaviors from four aspects and puts forward a factor collection that consists of27targets. Throughestablish the questionnaire, factor analysis is adopted to extract seven key common factors and targetsystem of the influencing factors on unsafe behaviors is established. On this basis, empirical researchand analysis are conducted on the interaction and influence path of the unsafe behaviors, and SEMmodel of the influencing factors that leading to the coal mine workers’ unsafe behaviors isestablished. It is concluded that safe climate has the maximum total effect on unsafe behaviors andsafety cognition has the maximum direct effect on unsafe behaviors. Finally, the behavioral safetymanagement system for coal mine workers which has unsafe behavior management, hidden riskmanagement, risk early warning, on-line learning and test function is developed to pre-control andmanage the unsafe behaviors of the coal mine workers.
引文
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