在主要运输基础设施建设中,利用文本挖掘和复杂网络,揭开层次化的透机制和安全风险的合关系
Wei Liu1,2, XiaoLong Kang3, Qing Ye4
1School of Civil Engineering and Architecture, East China Jiaotong University, Nanchang, 330013, China. liuweijx13@163.com.
Scientific reports
|February 4, 2026
概括
本研究结合了文本挖掘和复杂网络理论,以分析交通基础设施建设事故. 调查结果显示,专注于组织和监督缺陷,而不仅仅是运营问题,是改善安全管理的关键.
科学领域:
- 土木工程 土木工程是指土木工程.
- 安全科学安全科学 安全科学
- 网络科学 网络科学
背景情况:
- 交通基础设施建设面临着日益复杂和频繁的安全事故.
- 传统的安全风险管理方法在解决层次和合风险因素方面存在局限性.
研究的目的:
- 为了解交通基础设施建设中的安全风险开发一种新的范式.
- 揭示层次性的透机制和风险因素的合关系.
- 在主要的运输工程项目中增强安全管理智能.
主要方法:
- 文本挖掘用于提取101个关键安全事故特征.
- 开发一个改进的人类因素分析和分类系统 (HFACS) 模型.
- 复杂网络理论,包括共发生矩阵,安全风险网络 (SRN),多特征重力模型 (MCGM) 和弓绑模型.
主要成果:
- 确定了交通基础设施建设安全中的关键风险因素及其关联.
- 由于安全培训不足,尽管互联网连接广泛,但其全球影响力很弱.
- 设备缺陷受到监管因素的影响,突出显示系统性缺陷.
结论:
- 安全管理应优先考虑组织和监督层面,而不是运营问题.
- 一个分层的阻断和积极的防御策略为提高安全提供了定量基础.
- 综合方法为分析复杂的安全风险提供了一个新的范式.
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