Identification of critical causes of construction accidents in China using a hybrid HFACS-CN model.

IF 1.6 4区 医学 Q3 ERGONOMICS
Xiaolong Wang, Xiang Yang Hu, Lulu Wang, Bingyu Dong, Ruipeng Tong
{"title":"Identification of critical causes of construction accidents in China using a hybrid HFACS-CN model.","authors":"Xiaolong Wang, Xiang Yang Hu, Lulu Wang, Bingyu Dong, Ruipeng Tong","doi":"10.1080/10803548.2024.2308453","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":47704,"journal":{"name":"International Journal of Occupational Safety and Ergonomics","volume":" ","pages":"378-389"},"PeriodicalIF":1.6000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Occupational Safety and Ergonomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/10803548.2024.2308453","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/16 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ERGONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

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.

使用 HFACS-CN 混合模型识别中国建筑事故的关键原因。
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.80
自引率
8.30%
发文量
152
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信