一个基于ISM的系统动态模型,用于化学工业园区的员工在紧急情况下感知风险
Rong Yang1,2, Mingguang Zhang3,4,5, Ya Zhang1,2
1College of Safety Science and Engineering, Nanjing Tech University, Nanjing, Jiangsu, China.
Scientific reports
|October 29, 2024
概括
员工的风险感知,对于工作场所安全和应急响应至关重要,主要受到风险经验的影响. 了解这些因素可以提高行业的安全行为.
科学领域:
- 职业安全与健康问题 职业安全与健康问题
- 风险管理 风险管理
- 行为科学 行为科学
背景情况:
- 工作场所的风险感知显著影响员工的安全行为和应急响应效率.
- 识别影响风险感知的关键因素对于有效的安全管理至关重要.
- 风险感知是一个复杂的过程,受到许多相互关联的因素的影响.
研究的目的:
- 在工业环境中,确定和优先考虑影响员工风险感知的最关键因素.
- 开发一个结构化的模型,以了解各种风险感知影响者之间的关系.
- 为加强风险感知和安全协议提供一个框架.
主要方法:
- 使用了三个阶段的方法:问卷调查,专家评分和解释结构模型 (ISM).
- 采用ISM对14个已识别的影响因素进行分层,并创建一个层次结构.
- 基于ISM分析构建了一个系统动态反循环图,以建模风险感知动态.
主要成果:
- 风险经验被确定为影响员工风险感知的最基本因素.
- 敏感性分析显示,员工的风险感知与风险源的接近之间存在相关性.
- 该研究建立了一个因果关系模型,用于风险感知,风险反应,识别和沟通.
结论:
- 风险经验是风险感知的主要驱动因素,强调了实际暴露的重要性.
- 靠近风险源直接影响员工如何感知和应对潜在的危险.
- 开发的模型为量化定性数据和改善化学工业风险感知策略提供了有价值的工具.
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