田水承,丁 洋. 基于ANP和SD的矿工不安全行为干预策略研究[J]. 煤矿安全, 2023, 54(8): 252-257.
    引用本文: 田水承,丁 洋. 基于ANP和SD的矿工不安全行为干预策略研究[J]. 煤矿安全, 2023, 54(8): 252-257.
    TIAN Shuicheng. Research on intervention strategies for miners’ unsafe behavior based on ANP and SD[J]. Safety in Coal Mines, 2023, 54(8): 252-257.
    Citation: TIAN Shuicheng. Research on intervention strategies for miners’ unsafe behavior based on ANP and SD[J]. Safety in Coal Mines, 2023, 54(8): 252-257.

    基于ANP和SD的矿工不安全行为干预策略研究

    Research on intervention strategies for miners’ unsafe behavior based on ANP and SD

    • 摘要: 为预防矿工不安全行为,采用网络层次分析法构建矿工不安全行为影响因素的指标体系,并计算指标权重;基于指标体系,制定矿工不安全行为干预策略,从个体、环境、群体、管理等方面建立矿工不安全行为系统动力学模型并通过Vensim软件进行模拟,探讨不同干预策略对不安全行为水平的影响。结果表明:一级指标的权重排序为:安全管理>个人因素>领导氛围>群体氛围>工作环境>工作性质;二级指标中权重较大的有安全规章制度、安全教育与培训、安全文化;干预策略使矿工不安全行为水平下降速度加快,且各方面干预中均有一项最优干预策略;最优干预策略的提出为煤矿加强安全管理、减少事故发生提供了新思路。

       

      Abstract: To prevent miners’ unsafe behavior, analytic network process was used to construct the indicator system of influence factors and the indicator weights were calculated. Based on the indicator system, intervention strategies for miners’ unsafe behavior were designed. The system dynamics model of miners’ unsafe behavior was established based on individual, environment, group and management and simulated by Vensim software, then the effects of different intervention strategies on the level of unsafe behavior were discussed. The results show that the primary indicators in order of weight are safety management, personal factors, leadership climate, group climate, work environment, nature of work; secondary indicators with greater weight are safety regulation, safety education and training, safety culture; the reduction of level in miners’ unsafe behavior is accelerated by the intervention strategies, and there is optimal intervention strategy in each intervention aspect; the optimal intervention strategy provides new ideas for strengthening safety management and reducing accidents in coal mines.

       

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