测试事故分析方法的可靠性:AcciMap,STAMP-CAST和AcciNet的比较
Adam Hulme1,2, Neville A Stanton1,3, Guy H Walker1,4
1Centre for Human Factors and Sociotechnical Systems, Faculty of Arts, Business and Law, University of the Sunshine Coast, Sippy Downs, Australia.
Ergonomics
|July 31, 2023
概括
这项研究评估了三种事故分析方法的可靠性:AcciMap,STAMP-CAST和AcciNet. STAMP-CAST证明了更高的评审者间可靠性,这对于一致的安全干预识别至关重要.
科学领域:
- 安全科学安全科学 安全科学
- 人类因素工程 人类因素工程
- 系统工程 系统工程
背景情况:
- 事故分析方法对于理解复杂事件至关重要.
- 像AcciMap,STAMP-CAST和AcciNet这样的系统方法可以在社会技术系统中确定安全干预措施.
- 这些用于分类因果因素的系统方法的可靠性尚未得到充分证实.
研究的目的:
- 评估AcciMap,STAMP-CAST和AcciNet的内部和内部的可靠性.
- 为了比较这三种系统事故分析方法的可靠性.
- 应用信号检测理论 (SDT) 范式进行可靠性评估.
主要方法:
- 进行了内部评级者和评级者之间的可靠性评估.
- 评估了三种系统性事故分析方法 (AcciMap,STAMP-CAST,AcciNet).
- 30名专家分析师在180小时内进行了360次比较,使用信号检测理论进行了分析.
主要成果:
- 这三种方法都显示出微弱到中等的正相关系数.
- STAMP-CAST表现出比AcciMap和AcciNet.net显著更高的评级者间可靠性.
- 在这些方法中,没有观察到在评价者内部可靠性的显著差异.
结论:
- 虽然所有方法都具有中等可靠性,但STAMP-CAST在不同分析师之间提供了更一致的结果.
- 调查结果强调了系统事故分析方法的评估者间可靠性的重要性.
- 需要进一步的研究来探索对安全干预识别的影响.
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