Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

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

Bibliographic Data

ID22072926
AuthorsLi Yang (0000-0003-3852-3651, Anhui University of Science and Technology), Xue Wang (0009-0005-0215-9044, Anhui University of Science and Technology, corresponding author), Junqi Zhu (0000-0002-5247-9805, Anhui University of Science and Technology, corresponding author), Zhiyuan Qin (Anhui University of Science and Technology)
Year2022
Volume10
Pages852612-852612
Publication date2022-03-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.852612
PMID35372192
OpenAlexW4221091084
LanguageEN
Citations received4
References cited35

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

Business · Coal · Coal mining · Computer security · Grounded theory · Operations management · Qualitative research · Sociology · Waste management · Computer Science · Engineering · Occupational Health and Safety Research · Quality and Safety in Healthcare · Risk and Safety Analysis

  • Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD

    Open Access•Li Yang, Yang Li et al.•International Journal of…•2022

  • Behind the Silence of the Professional Classroom in Universities

    Open Access•Fenghua Xu, Yanru Yang et al.•International Journal of…•2022

  • Development and validation of the quiet quitting behavior scale

    Open Access•Qinglin Li, Qing-lin Li et al.•Frontiers in Public Health•2026

  • Occupational safety in coal logistics

    Open Access•W Prima Addini-Alia W Abdullah, Kadir Arifin et al.•Frontiers in Public Health•2026

  • Mining Employees Safety and the Application of Information Technology in Coal Mining

    Open Access•Li Yang, Getnet Engeda Birhane et al.•Frontiers in Public Health•2021

  • Correlation in Causality

    Open Access•Ziwei Fa, Xinchun Li et al.•International Journal of…•2021

  • Health Issues with Learning to Use Smart Devices in the Digital Age

    Open Access•Myung-Sill Chung, GyeongAe Seomun•International Journal of…•2021

Unique citing works4
Citations per year1
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae