Estimation of the risk of work-related accidents for underground hard coal mine workers by logistic regression

Bilim, Niyazi; Bilim, Atiye

doi:10.1080/10803548.2021.1990571

Cited by 5 publications

(3 citation statements)

References 61 publications

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“…The following human and organizational factors were distinguished among the trends in the theme of research in the terms of accident causes: leadership behaviors of superiors (18), unsafe behaviors of employees (16), organizational deficiencies (16), human errors (15) [5]. Accidents at work have specific economic consequences, which is why they can be an indicator supporting decisionmaking in the field of improving occupational safety and health, examples of research in this field are, among others: research of the costs of benefits for accidents at work in the aspect of the number of people injured (total, fatal and serious accidents) and the number of days of incapacity to work, based on data from the Statistics Poland for the years 2010-2017 [6], research of the length of postaccident absence using decision trees and their ensembles, based on modeling the prediction of the duration of incapacity to work due to accident at work, on the basis of company documentation from the construction industry [7], research of the early warning model on accidents at work in coal mines in China based on the analysis of the number of total accidents, the number of accident death toll and the severity level of accidents using the neural network model [8], research of the relationships between workers demographic characteristics of underground hard coal mines in Turkey and an accident causing loss of a working day on the basis of the analysis of accidents at work in 2014-2019 using logistic regression analysis [9]. Risk assessment includes various classifications of research methods, including the use of qualitative, quantitative or mixed methods.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessing Risky Behaviors Based on the Indicator Analysis of Statistics on Accidents at Work

Grodzicka

2023

Management Systems in Production Engineering

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The aim of the paper was to analyze risky behaviors in the mining industry on the example of the indicator analysis of the statistics on accidents at work. Selected criteria of generic analysis (structure index – causes of accidents) and indicator analysis (intensity index – frequency indicator of accidents) were used in the research. The source of data for the analysis of accident rate were the publications of the Statistics Poland entitled “Accidents at work” in Poland for 2010-2021. The study aimed at human causes, which included the following five groups: lack or improper handling of a material factor by the employee, failure to use protective equipment by the employee, improper willful behavior of the employee, improper mental and physical state of the employee, improper behavior of the employee. For the analysis of risky behaviors, the proposition of the frequency indicator of accidents at work was used in the form of the probability indicator of accidents caused by risky behaviors per 1,000 working people. Based on the indicator analysis of risky behaviors, a comparative analysis of statistics on accidents at work in the period 2010-2021 according to the criterion of human causes was developed for Poland and mining. The research is based on the data of the Statistics Poland (GUS), but can be extended with other data, e.g. industry data according to the State Mining Authority (WUG). The results of the research can be used for a comparative analysis of the statistics on accidents at work in relation to other sectors and sections of economic activity of the NACE (PKD). The publication contains the original results of the indicator analysis of the statistics on accidents at work according to the criterion of human causes in the mining industry, and they can be addressed to persons managing of mining plants and managers of mining supervision authorities.

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Section: Literature Reviewmentioning

confidence: 99%

Assessing Risky Behaviors Based on the Indicator Analysis of Statistics on Accidents at Work

Grodzicka

2023

Management Systems in Production Engineering

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“…Coal mining should be a priority industry for control (Bilim & Bilim, 2021). Maintaining the occupational health and well-being (OHW) of workers is an essential basis for ensuring the sustainable development of production.…”

Section: Introductionmentioning

confidence: 99%

“…Spurred by industrialization and population growth, the demand for mineral resources as a predominant source of energy is growing, and China is forecast to remain the world's largest coal market in 2035 (Chen et al., 2020). Coal mining should be a priority industry for control (Bilim & Bilim, 2021). Maintaining the occupational health and well‐being (OHW) of workers is an essential basis for ensuring the sustainable development of production.…”

Section: Introductionmentioning

confidence: 99%

Establishing an index for monitoring occupational health and well‐being of coal mines: Consideration of individual characteristics

et al. 2023

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It is crucial to enhance employee occupational health and well‐being (OHW) for the well‐run and prosperity of the industry, but there is very limited knowledge on the assessment of miners' well‐being that differs from person to person. Within this study, a new more direct method, as well as an instrument was constructed to measure the OHW through data analysis based on a representative sample of coal miners (N = 1037). Initially, the causal pathway of job stress and health consequences was characterized by the driving force‐pressure‐state‐impact‐response (DPSIR) model. The OHW index was represented by hazards, vulnerability, and severity through the data envelopment analysis and stochastic frontier approach method. The result was that the severity of the consequences of inadequate organizational response was the dominant factor. 75% of employees with poor OHW work in mining, and digging areas, including various drivers and support workers. This study provides an innovative and complete description of the interaction mechanisms among job stress, job burnout, and health outcomes. It demonstrates that a three‐level assessment method, namely hazards‐vulnerability‐severity, can effectively identify hierarchical management points. We provide metrics, objective data, and evidence‐based recommendations on stress and health management for miners.

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Accident case-driven study on the causal modeling and prevention strategies of coal-mine gas-explosion accidents: A systematic analysis of coal-mine accidents in China

Yuxin,

Gui,

Qian

et al. 2024

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Estimation of the risk of work-related accidents for underground hard coal mine workers by logistic regression

Cited by 5 publications

References 61 publications

Assessing Risky Behaviors Based on the Indicator Analysis of Statistics on Accidents at Work

Assessing Risky Behaviors Based on the Indicator Analysis of Statistics on Accidents at Work

Establishing an index for monitoring occupational health and well‐being of coal mines: Consideration of individual characteristics

Accident case-driven study on the causal modeling and prevention strategies of coal-mine gas-explosion accidents: A systematic analysis of coal-mine accidents in China

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