使用 HFACS-CN 混合模型识别中国建筑事故的关键原因。

IF 1.6 4区 医学 Q3 ERGONOMICS
Xiaolong Wang, Xiang Yang Hu, Lulu Wang, Bingyu Dong, Ruipeng Tong
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引用次数: 0

摘要

ABSTRACTC 建筑安全意义重大,因为建筑事故可能导致财产损失和巨大的人员伤亡。本研究旨在通过引入一种混合方法来识别建筑事故的关键原因。通过将人为因素分析和分类系统(HFACS)模型与复杂网络(CN)理论相结合,开发了一种混合方法来识别建筑事故的关键原因。共收集了 863 个建筑事故案例,并确定了 46 个因果因素。随后,建立了事故因果网络,并提取了 6 个关键因果因素。研究结果表明,混合分析方法能更好地识别关键因果因素。因此,本研究有助于加深对 HFACS 框架和 CN 理论的理解,并为建筑行业不同层面的安全管理做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of critical causes of construction accidents in China using a hybrid HFACS-CN model.

Construction safety is of significance since construction accidents can result in loss of property and large numbers of casualties. This research aims to identify the critical causes of construction accidents by introducing a hybrid approach. The hybrid approach is developed to identify the critical causes of construction accidents by combining the human factors analysis and classification system (HFACS) model with complex network (CN) theory. A total of 863 construction accident cases were collected, and 46 causal factors were identified. Subsequently, the accident causal network was established, and six critical causal factors were extracted. The hybrid analysis approach is demonstrated with a real construction accident case, and the results demonstrate that the hybrid approach could better identify the critical causal factors. Consequently, this research enables the enhancement of understanding the HFACS framework and CN theory, as well as a contribution to safety management in the construction industry at different levels.

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来源期刊
CiteScore
4.80
自引率
8.30%
发文量
152
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