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This study aimed to provide a greater understanding of the systemic factors involved in coal mine accidents and to examine the relationships between the contributing factors across all levels of the system. Ninety-four extraordinarily major coal mine accidents that occurred in China from 1997 to 2011 were analyzed using the human factors analysis and classification system (HFACS). The empirical results showed that the frequencies of unsafe behaviors, inadequate regulation and failure to correct hidden dangers were the highest among five levels, 14 categories and 48 indicators, respectively. The odds ratio technique was applied to quantitatively examine the relationships between contributing factors. Various statistically significant associations were discovered and should receive greater attention in future attempts to develop accident measures. In addition, several strategies concerning the main contributing factors and routes to failure are proposed to prevent accidents from reoccurring in an organization.

Accidents cause major damage for both workers and enterprises in the mining industry. To reduce the number of occupational accidents, these incidents should be properly registered and carefully analysed. This study efficiently examines the Aegean Lignite Enterprise (ELI) of Turkish Coal Enterprises (TKI) in Soma between 2006 and 2011, and opencast coal mine occupational accident records were used for statistical analyses. A total of 231 occupational accidents were analysed for this study. The accident records were categorized into seven groups: area, reason, occupation, part of body, age, shift hour and lost days. The SPSS package program was used in this study for logistic regression analyses, which predicted the probability of accidents resulting in greater or less than 3 lost workdays for non-fatal injuries. Social facilities-area of surface installations, workshops and opencast mining areas are the areas with the highest probability for accidents with greater than 3 lost workdays for non-fatal injuries, while the reasons with the highest probability for these types of accidents are transporting and manual handling. Additionally, the model was tested for such reported accidents that occurred in 2012 for the ELI in Soma and estimated the probability of exposure to accidents with lost workdays correctly by 70%.

Mining has been historically considered as a naturally high-risk industry worldwide. Deaths caused by coal mine accidents are more than the sum of all other accidents in China. Statistics of 320 coal mine accidents in Shandong province show that all accidents contain indicators of "unsafe conditions of the rules and regulations" with a frequency of 1590, accounting for 74.3% of the total frequency of 2140. "Unsafe behaviors of the operator" is another important contributory factor, which mainly includes "operator error" and "venturing into dangerous places." A systems analysis approach was applied by using structural equation modeling (SEM) to examine the interactions between the contributory factors of coal mine accidents. The analysis of results leads to three conclusions. (i) "Unsafe conditions of the rules and regulations," affect the "unsafe behaviors of the operator," "unsafe conditions of the equipment," and "unsafe conditions of the environment." (ii) The three influencing factors of coal mine accidents (with the frequency of effect relation in descending order) are "lack of safety education and training," "rules and regulations of safety production responsibility," and "rules and regulations of supervision and inspection." (iii) The three influenced factors (with the frequency in descending order) of coal mine accidents are "venturing into dangerous places," "poor workplace environment," and "operator error.", (Copyright © 2016 Elsevier Ltd. All rights reserved.)

On the 13th of May 2014 a fire related incident in the Soma coal mine in Turkey caused 301 fatalities and more than 80 injuries. This has been the largest coal mine accident in Turkey, and in the OECD country group, so far. This study investigated if such a disastrous event should be expected, in a statistical sense, based on historical observations. For this purpose, PSI's ENSAD database is used to extract accident data for the period 1970-2014. Four different cases are analyzed, i.e., OECD, OECD w/o Turkey, Turkey and USA. Analysis of temporal trends for annual numbers of accidents and fatalities indicated a non-significant decreasing tendency for OECD and OECD w/o Turkey and a significant one for USA, whereas for Turkey both measures showed an increase over time. The expectation analysis revealed clearly that an event with the consequences of the Soma accident is rather unlikely for OECD, OECD w/o Turkey and USA. In contrast, such a severe accident has a substantially higher expectation for Turkey, i.e. it cannot be considered an extremely rare event, based on historical experience. This indicates a need for improved safety measures and stricter regulations in the Turkish coal mining sector in order to get closer to the rest of OECD., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

This paper presents the analysis of large mining machinery related accidents in Indian opencast coal mines. The trends of coal production, share of mining methods in production, machinery deployment in open cast mines, size and population of machinery, accidents due to machinery, types and causes of accidents have been analysed from the year 1995 to 2008. The scrutiny of accidents during this period reveals that most of the responsible factors are machine reversal, haul road design, human fault, operator's fault, machine fault, visibility and dump design. Considering the types of machines, namely, dumpers, excavators, dozers and loaders together the maximum number of fatal accidents has been caused by operator's faults and human faults jointly during the period from 1995 to 2008. The novel finding of this analysis is that large machines with state-of-the-art safety system did not reduce the fatal accidents in Indian opencast coal mines.

Introduction: The death rate per million tons (DRPMT) is considered as the key index to the quality of coal mine safety management. The index for 2002-2011 revealed a marked improvement in China coal mine safety management during the 10-year period. However, when seasonally adjusted, the 2002-2011 fatality data showed a strong seasonal variation trend. This was reasonably consistent for the 10 years, which suggests that it was always the weak link in Chinese coal mine safety management over that time. However, the overall annual decrease in DRPMT was not reflected by any noticeable improvement in the seasonal occurrence of fatal coal mine accidents in China., Method: This paper focuses on this issue, first by analyzing the seasonal fluctuation of fatal accident statistics, then by investigating whether there was a parallel trend in China production output pressure. Finally an error correction model (ECM) was established to analyze the relationship between seasonal fatality rates and the pressure to increase coal production output, and revealed a close relationship between the two., Practical Applications: Firstly, the finding of this paper can help coal mine companies arrange their production planning more rationally, and decrease the fatalities' seasonal variations. Secondly, this paper is also helpful for the government to improve their regulation policies, to control the frequency of seasonal coal mine disasters., (© 2013.)

Objective: To explore factors associated with fatal accidents among contractors and operators by using the Mine Safety and Health Administration database., Methods: Cross-sectional data on 157,410 miners employed by operators or contractors during 1998-2007 were analyzed using logistic regression and multiple imputation., Results: Univariate odds of fatal versus nonfatal accident were 2.8 (95% confidence interval, 2.3 to 3.4) times higher for contractors than operators. In a multivariable model, fatality was associated with contractor, less experience at the current mine, and occurrence at more than 8 hours into the workday (P < 0.05 for each). Differences in odds of fatality by employment type were more pronounced in surface mines., Conclusions: Contractors had a higher proportion of fatal injuries. Fatality also varied by mine experience, the number of hours worked before injury, work location, and mine type.

This report evaluates the potential of using high degree (or severe) injuries as a proxy for fatal events. Injuries occurring at bituminous coal mines within the United States during the years 1996-2006 were classified by the degree of severity according to the Abbreviated Injury Scale (AIS). Using multivariate discrete and logistic models (via generalized estimating equations) and adjusting for number of employees and underground v. surface status, high degree (AIS≥3) injuries in the prior year were associated with an increased risk (OR 2.02, 95% CI 1.17 to 3.46) of fatalities within the same mine. While there is a need for improvements and standardization of injury surveillance and reporting, the findings support the study hypothesis that mining conditions resulting in high degree injuries can also result in fatalities, thus expanding the use and versatility of high degree injury surveillance data. With an improved understanding of the conditions and activities behind these two injury event types, these results enhance the ability for industry to more readily identify and develop technological advancements for safety and mitigating disasters., (Copyright © 2013 National Safety Council and Elsevier Ltd. All rights reserved.)

Background: This study examines the relationship between the use of 9 classes of substances (amphetamines, barbiturates, benzodiazepines, cocaine, marijuana, methadone, opioids, phencyclidine, and propoxyphene) and coal-mining accidents., Methods: The control sample (n = 215) made up of miners that presented for random urine drug testing. The study sample (n = 100) consists of miners that presented for postaccident urine drug testing. Nonparametric Mann-Whitney U tests of creatinine normalized urine drug levels were conducted to compare the medians of the groups., Results: The mean drug concentrations were higher in the postaccident group for each drug tested except marijuana. Two-tailed testing demonstrated statistically significant differences for marijuana (P = 0.000), cocaine (P = 0.008), and opiates (P = 0.037)., Conclusions: The study demonstrates statistically significant higher cocaine and opioid concentrations and lower marijuana concentrations in postaccident urine drug tests of coal miners when compared with random tests.

Using data on work accidents and annual mining statistics, the paper studies work-related accidents in the Spanish energetic mining sector in 1999-2008. The following 3 parameters are considered: age, experience and size of the mine (in number of workers) where the accident took place. The main objective of this paper is to show the relationship between different accident indicators: risk index (as an expression of the incidence), average duration index for the age and size of the mine variables (as a measure of the seriousness of an accident), and the gravity index for the various sizes of mines (which measures the seriousness of an accident, too). The conclusions of this study could be useful to develop suitable prevention policies that would contribute towards a decrease in work-related accidents in the Spanish energetic mining industry.

The scrutiny of underground coal mine safety was heightened because of the disasters that occurred in 2006-2007, and more recently in 2010. In the aftermath of the 2006 incidents, the U.S. Congress passed the Mine Improvement and New Emergency Response Act of 2006 (MINER Act), which strengthened the existing regulations and mandated new laws to address various issues related to emergency preparedness and response, escape from an emergency situation, and protection of miners. The National Mining Association-sponsored Mine Safety Technology and Training Commission study highlighted the role of risk management in identifying and controlling major hazards, which are elements that could come together and cause a mine disaster. In 2007 MSHA revised its approach to the "Pattern of Violations" (POV) process in order to target unsafe mines and then force them to remediate conditions in their mines. The POV approach has certain limitations that make it difficult for it to be enforced. One very understandable way to focus on removing threats from major-hazard conditions is to use citation-related reliability analysis. The citation reliability approach, which focuses on the probability of not getting a citation on a given inspector day, is considered an analogue to the maintenance reliability approach, which many mine operators understand and use. In this study, the citation reliability approach was applied to a stratified random sample of 31 underground coal mines to examine its potential for broader application. The results clearly show the best-performing and worst-performing mines for compliance with mine safety standards, and they highlight differences among different mine sizes., (Copyright © 2010 Elsevier Ltd. All rights reserved.)

Despite the all precautions, underground coal mining is one of the dangerous industries owing to fatal occupational accidents. Accidents are complicated events to which many factors effect on their formation and preventing them is only possible by the analyses of the accident occurred in past and by straight evaluation of the obtained results. In this study, hierarchical loglinear analysis method was implemented to occupational fatalities occurred in the period of 1980-2004 in the five underground coal mines of Turkish Hardcoal Enterprises which has the most important coal production areas in Turkey. The accident records were evaluated and the main factors affecting the accidents were defined as mine, miners' age, occupation, and accident type. By taking into account the sub factors of the main factors, multi way contingency tables were prepared and thus, the probabilities might effect fatality accidents were investigated. At the end of this study, it was found that the mostly affected job group by the fatality accidents was the production workers and additionally, these workers were mostly exposed to roof collapses and methane explosions. Moreover, important accident risk factors and the occupational job groups which have high probability to be exposed to these risk factors were determined and important information about decreasing the accidents in the underground coal mines were presented.

Objective is to assess the relationships of job hazards, individual characteristics, and risk taking behavior to occupational injuries of coal miners. This case-control study compared 245 male underground coal miners with injury during the previous two-year period with 330 matched controls without injury during the previous five years. Data were collected via face-to-face interview and analyzed using the conditional logistic model. Handling material, poor environmental/working conditions, and geological/strata control- related hazards were the main risk factors: adjusted ORs 5.15 (95% CI 2.42-10.9), 2.40 (95% CI 1.29-4.47), and 2.25 (95% CI 1.24-4.07) respectively. Their roles were higher among the face-workers than among the non-face-workers. No formal education, alcohol consumption, disease, big-family, and risk-taking behavior were associated with injuries (2.36

Background: Fatal underground coal mine injuries are a worldwide problem. Zonguldak holds 95% of all Turkey's coal reserves., Aim: To investigate fatalities in the underground coal-mining industry in the Zonguldak province., Methods: Retrospective study of fatal underground coal-mining accidents from 1994 to 2003 through evaluation of industry records., Results: There were 164 deaths available for analysis. The median age was 36 years (range: 14-56 years). Eighty-one fatalities (49%) were due to subsidence, 33 (20%) were due to underground railway accidents and 18 (11%) were due to gas poisoning. Asphyxia was the most common cause of death (99, 60%). The majority of fatalities (144, 87%) occurred instantaneously at the scene of the incident. The remainder (20, 13%) occurred on the way to the hospital or in the emergency room or the intensive care unit., Conclusion: The underground coal-mining industry in Turkey requires strategies to improve safety and reduce the number of fatalities occurring. These strategies should focus on improved underground safety through engineering measures.

The role of various factors in coal mine-related injuries was investigated using a case-control design. The study setting was two neighbouring underground coal mines in India. Cases comprised mine workers (n = 150) who had sustained a prior mine-related injury from a population of 1000 underground workers. Controls were selected from those mineworkers with no history of a prior mine-related injury using frequency matching (n = 150) from the same source population. Data were collected from the cases and controls using a structured survey questionnaire. Based on the responses of the participants, each factor was grouped into three categories. High-low plots and Chi-square tests were conducted to explore the differences between the cases and controls. Bivariate logistic regression was run to estimate the crude odds of injuries, while multivariate logistic regression estimated the adjusted odds of injuries to the workers for the various variable categories. High-low plots and the Chi-square test clearly revealed that the cases and controls significantly differed in their responses for the variables studied. Accident-involved workers take more risks, are negatively affected, job dissatisfied, feel more production pressure, job stress, work hazards and are less job involved and are more dissatisfied with safety environment and social climate of the mines compared to the controls. The multivariate odds of injuries to high risk taking, negatively affected and job dissatisfied workers are 1.21, 9.34 and 2.00 times more compared to their lowest counterparts. Similarly, workers satisfied with the overall safety practice and safety equipment availability and maintenance are 1.5 and 3.12 times less likely to be injured than the workers with little or no satisfaction with the above factors. It is therefore concluded that negative affectivity and job dissatisfaction are the two major personal level factors that contribute more towards accident/injury in the mines studied. Identification and elimination/reduction of negative attitudes are of utmost importance.

Background: The association between slip and fall-related injuries and environmental temperature was examined for mostly enclosed (inside vehicles, machinery, or buildings), outdoor (outside, not enclosed), and enclosed/outdoor jobs in the coal mining industry to see if differences existed among the three work locations that had varying exposure to cold temperatures., Methods: Temperature data from the National Climatic Data Center and injury data from the Mine Safety and Health Administration were evaluated from 1985-1990 for seven states. Proportionate methods were used to examine the relationship between slips and falls and temperature., Results: Proportionate injury ratios of slips and fall-related injuries increased as temperature declined for all three work locations. Proportion of slips and fall-related injuries that occurred while running/walking increased with declining temperature, with the ground outside as the most common source of these injuries., Conclusions: Outside movement becomes a greater hazard at freezing temperatures for workers in all locations, not just outdoor workers. Any intervention methods geared toward reducing injury incidents facilitated by cold weather must also be directed toward workers who spend time in more enclosed locations., (Copyright Published 2000 Wiley-Liss, Inc.)

One hundred and ninety workers from the coal mines were examined in the years 1977-79 at various work stands and also treated as out-patients and/or hospitalized. The ocular injuries were divided into mechanical trauma and burns. In the analyzed material the percentage of minor trauma amounted 72.5 per cent, severe ocular injuries occurred in 18.5 p.c. of cases; in 4 p.c. ensued a permanent incapacity for work in a coal mine.