对影响地铁运行事故类型和严重性的乘客行为进行风险评估
Ying Lu1,2,3, Yi Zhang1, Xuepeng Jiang1,2,3
1School of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, People's Republic of China.
Psychology research and behavior management
|September 13, 2023
概括
乘客不安全的行为导致地铁事故. 这项研究开发了一种风险评估模型,以评估乘客行为风险和事故严重程度,确定针对性安全措施的冲等关键风险.
科学领域:
- 运输安全运输安全
- 风险管理 风险管理
- 人类因素工程 人类因素工程
背景情况:
- 乘客不安全的行为是地铁运营事故的重要原因之一.
- 准确的风险评估和严重程度评估对于改善地铁安全至关重要.
研究的目的:
- 建立一个定量模型来评估乘客不安全行为在地铁中的风险.
- 评估不同类型事故的严重程度,这些事故是由乘客不安全的行为造成的.
- 为了告知有针对性的风险减轻策略.
主要方法:
- 开发了一个风险评估模型,整合了交互矩阵 (IM) 和蒙特卡洛算法.
- 乘客不安全行为的定量风险评估,使用234起事故事件的数据.
- 分析行为风险分布,以确定高风险因素.
主要成果:
- 确定了12种与4个地铁事故类别相关的不安全行为.
- 拥挤的人群冲造成的风险最高 (平均μ=5.14),其次是自动扶梯受伤 (4.72),屏蔽障碍事件 (4.42),以及摔倒受伤 (4.14).
- 量化了由特定不安全乘客行为引起的事故严重程度.
结论:
- 开发的模型有效地评估了乘客不安全行为的风险和地铁运营中的事故严重程度.
- 调查结果为实施有针对性的风险减缓策略提供了数据驱动的基础.
- 提高地铁安全需要解决特定的高风险乘客行为和事故类型.
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