使用多变量结构方程建模的地下金属矿的矿工的风险感知估计
P S Paul1, Falguni Sarkar2, Sakinala Vikram3
1Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India. drpspaul@iitism.ac.in.
Scientific reports
|April 24, 2025
概括
印度的矿山安全管理需要超越合规的整体方法. 运营安全文化显著影响员工的风险感知,安全动机和应急响应能力的介导.
科学领域:
- 采矿工程 采矿工程 采矿工程
- 职业安全与健康问题 职业安全与健康问题
- 心理学 心理学 心理学
背景情况:
- 由于法律合规,印度的矿山安全得到了改善,但需要更全面的管理系统.
- 目前的反应安全程序存在局限性,需要先进的方法来减少事故.
研究的目的:
- 估计风险感知因素对印度地下金属矿山矿工的协同效应.
- 研究"运营安全文化"",安全动机"和"应急响应能力"对工作场所风险感知的影响.
主要方法:
- 多变量结构方程建模 (MSEM) 用于分析风险感知因素.
- 在事故组 (AG) 的150名工人和非事故组 (NAG) 的170名工人中,采用五分利克特级别的问卷进行了调查.
- 使用收集的数据测试了一个假设的风险感知路径模型.
主要成果:
- "运营安全文化"被认为是影响矿工风险感知的最重要因素.
- "运营安全文化"通过"安全动机"和"应急响应能力"间接影响风险感知.
结论:
- 加强"运营安全文化"对于改善矿山安全管理至关重要.
- 建议印度矿山采取主动的方法,重点关注安全文化,动机和应急准备.
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