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使用HFACS来了解铁路调度员业绩中的人为错误:对主动安全检查记录的研究
Zizheng Guo1,2,3,4, Huishan Pang1, Jingyu Zhang5,6
1School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
Ergonomics
|December 1, 2023
概括
这项研究使用人类因素分析和分类系统 (HFACS) 框架分析了主动安全检查记录. 调查结果显示,不安全的行为和先决条件显著导致铁路事故,突出了提高安全的领域.
科学领域:
- 铁路安全铁路安全
- 航空和运输中的人类因素
- 事件分析 事件分析
背景情况:
- 积极的安全检查捕获了在传统事故报告中经常错过的小差异.
- 了解事故的根本原因对于预防重大事故至关重要.
- 人类因素分析和分类系统 (HFACS) 提供了一个结构化的方法来分析人类错误.
研究的目的:
- 使用HFACS框架分析主动安全检查记录.
- 确定大型调度中心事件的主要原因.
- 探索各种人为因素与不安全行为发生之间的相关性.
主要方法:
- 分析了4095个主动安全检查记录.
- 人类因素分析和分类系统 (HFACS) 框架的应用.
- 路径分析以确定促成因素和不安全行为之间的相关性.
主要成果:
- 大多数事件都归因于不安全的行为,特别是基于技能的错误和不良决策.
- 不利的心理状态,个人准备和船员资源管理被确定为不安全行为的重要前提条件.
- 在不安全的监督,不安全行为的先决条件和不安全行为的发生之间发现了显著的相关性.
结论:
- 积极的安全检查记录为安全研究提供了有价值的数据.
- 解决基于技能的错误,决策,心理状态,个人准备和船员资源管理是提高铁路安全的关键.
- 结果为提高铁路行业安全协议提供了可操作的见解.
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