Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS

The risk factors affecting workers' unsafe acts were comprehensively identified by Human Factors Analysis and Classification System (HFACS) and grounded theory based on interview data and accident reports from deep coal mines. Firstly, we collected accident case and field interview data from de...

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Main Authors: Li Yang, Xue Wang, Junqi Zhu, Zhiyuan Qin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Public Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.852612/full
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author Li Yang
Xue Wang
Junqi Zhu
Zhiyuan Qin
author_facet Li Yang
Xue Wang
Junqi Zhu
Zhiyuan Qin
author_sort Li Yang
collection DOAJ
description The risk factors affecting workers' unsafe acts were comprehensively identified by Human Factors Analysis and Classification System (HFACS) and grounded theory based on interview data and accident reports from deep coal mines. Firstly, we collected accident case and field interview data from deep coal mines issued by authoritative institutions. Then, the data were coded according to grounded theory to obtain relevant concepts and types. The HFACS model was used to classify the concepts and categories. Finally, the relationship between core and secondary categories was sorted out by applying a story plot. The results show that risk factors of unsafe acts of deep coal mine workers include environmental factors, organizational influence, unsafe supervision and unsafe state of miners, and the main manifestations of unsafe acts are errors and violations. Among them, the unsafe state of miners is the intermediate variable, and other factors indirectly affect risky actions of coal miners through unsafe sates. Resource management, organizational processes and failure to correct problems are the top three risk factors that occur more frequently in unsafe acts. The three most common types of unsafe act are unreasonable labor organization, failure to enforce rules, and inadequate technical specifications. By combining grounded theory and the HFACS framework to analyze data, risk factors for deep coal miners can be quickly identified, and more precise and comprehensive conceptual models of risk factors in unsafe acts of deep coal miners can be obtained.
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spelling doaj.art-d0ac22dba8da453f9ec9f46b21f70a532022-12-22T00:02:51ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-03-011010.3389/fpubh.2022.852612852612Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACSLi YangXue WangJunqi ZhuZhiyuan QinThe risk factors affecting workers' unsafe acts were comprehensively identified by Human Factors Analysis and Classification System (HFACS) and grounded theory based on interview data and accident reports from deep coal mines. Firstly, we collected accident case and field interview data from deep coal mines issued by authoritative institutions. Then, the data were coded according to grounded theory to obtain relevant concepts and types. The HFACS model was used to classify the concepts and categories. Finally, the relationship between core and secondary categories was sorted out by applying a story plot. The results show that risk factors of unsafe acts of deep coal mine workers include environmental factors, organizational influence, unsafe supervision and unsafe state of miners, and the main manifestations of unsafe acts are errors and violations. Among them, the unsafe state of miners is the intermediate variable, and other factors indirectly affect risky actions of coal miners through unsafe sates. Resource management, organizational processes and failure to correct problems are the top three risk factors that occur more frequently in unsafe acts. The three most common types of unsafe act are unreasonable labor organization, failure to enforce rules, and inadequate technical specifications. By combining grounded theory and the HFACS framework to analyze data, risk factors for deep coal miners can be quickly identified, and more precise and comprehensive conceptual models of risk factors in unsafe acts of deep coal miners can be obtained.https://www.frontiersin.org/articles/10.3389/fpubh.2022.852612/fullcoal minersunsafe actscoal mine accidentsgrounded theoryHFACS model
spellingShingle Li Yang
Xue Wang
Junqi Zhu
Zhiyuan Qin
Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS
Frontiers in Public Health
coal miners
unsafe acts
coal mine accidents
grounded theory
HFACS model
title Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS
title_full Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS
title_fullStr Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS
title_full_unstemmed Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS
title_short Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS
title_sort risk factors identification of unsafe acts in deep coal mine workers based on grounded theory and hfacs
topic coal miners
unsafe acts
coal mine accidents
grounded theory
HFACS model
url https://www.frontiersin.org/articles/10.3389/fpubh.2022.852612/full
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AT xuewang riskfactorsidentificationofunsafeactsindeepcoalmineworkersbasedongroundedtheoryandhfacs
AT junqizhu riskfactorsidentificationofunsafeactsindeepcoalmineworkersbasedongroundedtheoryandhfacs
AT zhiyuanqin riskfactorsidentificationofunsafeactsindeepcoalmineworkersbasedongroundedtheoryandhfacs