Research on 10-year tendency of China coal mine accidents and the characteristics of human factors

Chen, Hong; Qi, Hui; Long, Ruyin; Zhang, Maolong

doi:10.1016/j.ssci.2011.08.040

Cited by 200 publications

(90 citation statements)

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“…Supervision and regulation [13][14][15][16][17][18] Exploring complexity and ineffectiveness of regulation; analyzing rent-seeking mechanism, behavior, policy, and tax; identifying tendency of coal mine accidents and characteristics of human factors.…”

Section: Themementioning

confidence: 99%

“…To promote coal mine safety, a variety of effective countermeasures, such as enhancing safety legislation and establishing independent coal mine safety monitoring system, were executed. These improvements in regulatory regime make a great contribution [14]. However, the interrelations between coal mine enterprises and supervision departments are complex and subtle.…”

Section: Themementioning

confidence: 99%

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An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network

et al. 2017

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Capturing the interrelations among risks is essential to thoroughly understand and promote coal mining safety. From this standpoint, 105 risks and 135 interrelations among risks had been identified from 126 typical accidents, which were also the foundation of constructing coal mine risk network (CMRN). Based on the complex network theory and Pajek, six parameters (i.e., network diameter, network density, average path length, degree, betweenness, and clustering coefficient) were employed to reveal the topological properties of CMRN. As indicated by the results, CMRN possesses scale-free network property because its cumulative degree distribution obeys power-law distribution. This means that CMRN is robust to random hazard and vulnerable to deliberate attack. CMRN is also a small-world network due to its relatively small average path length as well as high clustering coefficient, implying that accident propagation in CMRN is faster than regular network. Furthermore, the effect of risk control is explored. According to the result, it shows that roof collapse, fire, and gas concentration exceeding limit refer to three most valuable targets for risk control among all the risks. This study will help offer recommendations and proposals for making beforehand strategies that can restrain original risks and reduce accidents.

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Section: Themementioning

confidence: 99%

Section: Themementioning

confidence: 99%

An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network

et al. 2017

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“…Statistics from 2001 to 2010 (Table III) shows that the Chinese government made an effort to improve coal mine safety through increasing financial investment and improving technology (Chen et al, 2012;Feng and Chen et al, 2013). The physical output of a worker can be assumed to remain constant over the time period considered.…”

Section: Number Of Accidents Casualtiesmentioning

confidence: 99%

“…The average mining depth of Chinese coal mines was around 700 m in 2010, and the deepest mine is deeper than 1200 m. In addition, more than half of the coal mines are located in formations with high gas concentrations. From 2001 to 2012, 30 848 accidents were reported in Chinese coal mines, resulting in 51 232 fatalities, as shown in Figure 1 (Chen et al, 2012). These statistics demonstrate that the coal industry is clearly a high-risk industry in China.…”

mentioning

confidence: 96%

Statistical analysis of coal mining safety in China with reference to the impact of technology

Chu¹,

Jain²,

Muradian³

et al. 2016

J. S. Afr. Inst. Min. Metall.

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“…And miners' unsafe behavior was proven to be an important cause of coal mine accidents, based on 71 Major Coal Mine Accidents, from 2005 to 2010 (Li, N. W., & Ji, D. J., 2011). In the research of gas outburst accidents, gas explosion accidents and mine water accidents, Chen, Qi, Long, and Zhang (2012) found that human factors accounted for 94.09% among the causes of these accidents. Due to the harsh environmental conditions of coal mine, miners' mental stress is far more than ordinary people, and their spiritual needs are relatively high.…”

Section: Introductionmentioning

confidence: 99%

Relationship Research between Subjective Well-being and Unsafe Behavior of Coal Miners

Zhang

Wang

et al. 2017

EURASIA J MATH SCI T

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In recent years, China's coal mine safety accidents are frequently. Human factors are the main cause of coal mine safety accidents, and miners' unsafe behavior is one of the main forms of human factors. It is necessary to conduct in-depth study on the unsafe behavior of miners to ensure the safety of coal mine. In this study, the relationship between coal miners' subjective well-being and unsafe behavior was examined from the perspective of ordinary miners' well-being. And then the influencing factors of miners' unsafe behavior were analyzed. Two hundred miners were selected randomly for this study in Datong Coal Mine Group of Shanxi Province. Then, a questionnaire was completed by the 200 miners respectively, and a valid sample of 184 responses was collected. SPSS23.0 software was used to organize and analyze these data. The conclusions show that the hypotheses were all confirmed, and subjective well-being has a significant impact on miners' unsafe behavior, positive emotion has a negative influence on miners' unsafe behavior, negative emotion has a significant positive impact on miners' unsafe behavior, and life satisfaction has a significant negative relationship with miners' unsafe behavior. Thus, some countermeasures were put forward for coal mine managers to enhance miners' subjective well-being and reduce their unsafe behaviors.

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Research on 10-year tendency of China coal mine accidents and the characteristics of human factors

Cited by 200 publications

References 0 publications

An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network

An Approach for Understanding and Promoting Coal Mine Safety by Exploring Coal Mine Risk Network

Statistical analysis of coal mining safety in China with reference to the impact of technology

Relationship Research between Subjective Well-being and Unsafe Behavior of Coal Miners

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