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基于文本挖掘的建筑工人不安全行为影响因素研究

Study on Influencing Factors of Construction Workers' Unsafe Behavior Based on Text Mining.

作者信息

Li Ping, He Youshi, Li Zhengguang

机构信息

School of Management, Jiangsu University, Zhenjiang, China.

School of Economics and Management, Yancheng Institute of Technology, Yancheng, China.

出版信息

Front Psychol. 2022 Apr 19;13:886390. doi: 10.3389/fpsyg.2022.886390. eCollection 2022.

DOI:10.3389/fpsyg.2022.886390
PMID:35519654
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9062735/
Abstract

The unsafe behavior of construction workers is the key cause of safety accidents. The accident investigation report contains rich experience and lessons, which can be used to prevent and reduce the occurrence of safety accidents. In order to draw lessons from the accident and realize knowledge sharing and reuse, this paper uses text mining technology to analyze the data of 500 construction accident investigation reports in Shenzhen, China. Firstly, a Latent Dirichlet Allocation (LDA) topic model is used to identify the unsafe behavior of construction workers and its influencing factors. Then, with the help of Social Network Analysis, the importance of influencing factors and the relationship between them are identified. The results show that weak safety awareness, operating regulations, supervision dereliction of duty, equipment resources, and inadequate supervision of the construction party are the key and important factors. It is also found that there are correlations between weak safety awareness and supervision dereliction of duty, between equipment resources and poor construction environment, between organization and coordination and inadequate supervision of the construction party, and between operating regulations and hidden dangers investigation. This study not only helps to improve the theoretical system in the field of construction workers' unsafe behavior but also helps managers to find the key control direction of construction safety, so as to effectively curb unsafe behavior of construction workers and improve the level of safety management.

摘要

建筑工人的不安全行为是安全事故的关键成因。事故调查报告蕴含着丰富的经验教训,可用于预防和减少安全事故的发生。为从事故中吸取教训并实现知识共享与复用,本文运用文本挖掘技术对中国深圳500份建筑事故调查报告的数据进行分析。首先,采用潜在狄利克雷分配(LDA)主题模型识别建筑工人的不安全行为及其影响因素。然后,借助社会网络分析确定影响因素的重要性及其相互关系。结果表明,安全意识淡薄、操作规程、监管失职、设备资源以及建设单位监管不力是关键且重要的因素。还发现安全意识淡薄与监管失职之间、设备资源与施工环境恶劣之间、组织协调与建设单位监管不力之间以及操作规程与隐患排查之间存在关联。本研究不仅有助于完善建筑工人不安全行为领域的理论体系,还能帮助管理人员找到建筑安全的关键控制方向,从而有效遏制建筑工人的不安全行为,提高安全管理水平。

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Analysis of Falls from Height Variables in Occupational Accidents.高处坠落事故致因变量分析。
Int J Environ Res Public Health. 2021 Dec 20;18(24):13417. doi: 10.3390/ijerph182413417.
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The Factors Affecting Unsafe Behaviors of Iranian Workers: A Qualitative Study Based on Grounded Theory.
影响伊朗工人不安全行为的因素:一项基于扎根理论的定性研究。
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Evaluating the Consistency Between Conceptual Frameworks and Factors Influencing the Safe Behavior of Iranian Workers in the Petrochemical Industry: Mixed Methods Study.评估概念框架与影响伊朗石化行业工人安全行为因素之间的一致性:混合方法研究。
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Accid Anal Prev. 2016 Aug;93:267-279. doi: 10.1016/j.aap.2015.11.027. Epub 2016 Jan 13.
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Int J Inj Contr Saf Promot. 2017 Mar;24(1):97-105. doi: 10.1080/17457300.2015.1132735. Epub 2016 Jan 6.
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Assessment of accident severity in the construction industry using the Bayesian theorem.运用贝叶斯定理评估建筑业事故严重程度
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