从落后的指标和规范性文件中发现领先指标的基因组:一项概念验证研究
Aya Bayramova1, David J Edwards2, Chris Roberts3
1Infrastructure Futures Research Team, College of the Built Environment, Birmingham City University, UK.
Journal of safety research
|February 25, 2025
概括
这项研究开发了一个新的分析框架,从事故案例研究中确定新的领先指标 (LI). 该框架成功识别了232个新的LI,增强了安全分析.
科学领域:
- 安全科学安全科学 安全科学
- 风险管理 风险管理
- 事故分析 事故分析
背景情况:
- 领先指标 (LI) 对于积极的安全管理至关重要.
- 一个LI开发的概念模型需要实际验证.
- 系统的文献审查和框架的开发是必要的LI识别.
研究的目的:
- 测试一个概念模型的实用性,以开发领先指标 (LIs).
- 系统地审查有关LI发展和识别的文献.
- 开发和应用一个分析框架,从案例研究数据中识别LIs.
主要方法:
- 一种两阶段的方法:理论 (文献综述,框架分析) 和实践 (适用于案例研究).
- 使用Scopus和Web of Science进行系统的文献审查.
- 诱导性开发和应用一个定制的分析框架,对12个事故案例研究.
主要成果:
- 开发了一个新的分析框架来识别LIs.
- 该框架从案例研究和规范性文件中确定了484个LIs.
- 其中232个LIs被确定为新的和新的,分为19个主题集群.
结论:
- 这项研究为LI识别的概念模型提供了第一个经验验证.
- 开发的分析框架对于从定性数据中识别和分类LI是有效的.
- 这些发现有助于通过新的领先指标推进主动安全管理.
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