煤炭工程 ›› 2020, Vol. 52 ›› Issue (3): 168-171.doi: 10.11799/ce202003034

• 工程管理 • 上一篇    下一篇

矿工个体特征因素对煤矿险兆事件影响的SEM研究

田水承,刘乔,陈洋,董威松,沈小清   

  1. 1.
    2. 西安科技大学
    3. 西安市碑林区雁塔中路58号
  • 收稿日期:2019-05-07 修回日期:2019-06-28 出版日期:2020-03-10 发布日期:2020-05-11
  • 通讯作者: 刘乔 E-mail:17220214068@stu.xust.edu.cn

SEM-based Study on the Influence of Miner Individual Characteristic Factors on Coal Mine Near Miss

  • Received:2019-05-07 Revised:2019-06-28 Online:2020-03-10 Published:2020-05-11
  • Contact: qiao qiaoliu E-mail:17220214068@stu.xust.edu.cn

摘要: 为探索矿工个体特征因素对险兆事件的影响,对文献进行深入分析,总结出矿工个体特征因素的测量指标,提出相应假设,采用SEM结构方程模型构建矿工个体特征因素对险兆事件影响的初始模型,并运用SPSS24.0和AMOS21.0软件进行模型拟合分析,结果表明矿工个体自我能力感因素与个体安全行为显著负相关|矿工人格倾向因素对个体安全行为的影响不显著|家庭引导因素对个体安全行为的影响显著正相关|环境满意度因素对个体安全行为的影响显著正相关|个体安全行为对煤矿险兆事件的影响显著负相关。最后根据研究结果提出干预对策,对今后煤矿的安全生产管理和相关研究起到借鉴作用。

关键词: 矿工, 个体特征因素, 险兆事件, 个体安全行为, 结构方程模型

Abstract: In order to explore the influence of individual characteristics of miners on near miss, the literature was an-alyzed in depth, the measurement variables of individual characteristics of miners are summarized, and corresponding hypotheses are put forward, the structural equation model is used to construct the initial model of the influence of individual characteristics of miners on the near miss.SPSS24.0 and AMOS21.0 software are used to fit and analyze the model. The results reveal that the factors of miners'individual self-ability are negatively correlated with individual safety behavior; the factors of miners' personality tendency have no significant influence on individual safety behavior; the factors of family guidance have significant positive correlation with individual safety behavior; the factors of environmental satisfaction have significant positive correlation with individual safety behavior; and the factors of individual safety behavior have significant negative correlation with coal mine near miss. Finally, according to the results of the study, the intervention countermeasures are put forward, which can be used for reference in the safety production management and related research of coal mines in the future.

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