Exploring the impacts of factors contributing to unsafe behavior of coal miners
Exploring the impacts of factors contributing to unsafe behavior of coal miners
复制标题
探讨煤矿工人不安全行为的影响因素
DOI：
10.1016/j.ssci.2019.02.003
复制
发表时间：
2019-06-01
期刊：
影响因子：
6.1
通讯作者：
Sun, Qian
中科院分区：
文献类型：
--
作者：
Wang, Chen;Wang, Jiakun;Sun, Qian
目前，据报道，2015年我国煤炭行业，尤其是一线矿工发生职业伤害约1000起。以往的研究表明，矿工的不安全行为是安全事故的主要原因，并列举了影响其行为的诸多因素。由于煤炭行业这些影响因素之间关系的复杂性，煤矿安全水平的提高仍面临着巨大的挑战。为了探寻和梳理增加安全行为或减少不安全行为的影响因素，对山东省七个矿区的1590名一线煤矿工人进行了历时三个月的横断面调查。选择主成分分析（PCA）、二元逻辑回归（BLR）和泊松回归（PR）作为分析技术。为了消除自变量之间的相关性和共线性，首先使用PCA。然后，引入BLR作为核心方法来估计不同成分与煤矿工人不安全行为之间的关系。此外，我们还通过公关结果得出结论，年龄较小、经验较少的煤矿工人更有可能采取安全行动。在此基础上，我们提出了加强矿工安全教育培训、营造安全氛围、把握管理制度合理性等有效措施，激励矿工安全行为。研究结果不仅有利于建立更有针对性的不安全行为预防措施，也有利于煤矿安全管理水平的提高。
Currently, it is reported that approximately 1000 occupational injuries, especially the front-line miners occurring the coal industry of China in 2015. Previous researches have indicated that miners' unsafe behavior is the predominant reason of safety accidents and listed numerous factors which influence their behavior. Owing to the complexities of the relationship among these influencing factors in the coal industry, the improvement of coal mine safety level is still facing enormous challenges.With an aim towards exploring and sorting the influencing factors for increasing safety behavior or reducing unsafe behavior, a cross-sectional survey which lasted three months was conducted on 1590 front-line coal miners from seven mining areas in Shandong province, China. Principal component analysis (PCA), binary logistic regression (BLR) and Poisson regression (PR) were selected as analytical techniques. In order to eliminate the correlation and collinearity among independent variables, PCA was used firstly. Then, as the core method, BLR was introduced to estimate relationships between different components and coal miners' unsafe behavior. In addition, we also concluded that coal miners who are younger and less experienced are more likely to behave safely through the results of PR. On the basis of the above results, we highlighted the useful measures, such as strengthening the safety education and training of miners, building safety climate and grasping the rationality of management system, which might motivate miners' safety behavior. Findings from this research are beneficial not only to the establishment of more targeted unsafe behavior prevention measures, but also to the improvement of the safety management level in coal mines.