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Using data mining techniques to analyze the influencing factor of unsafe behaviors in Chinese underground coal mines

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  • Qiao, Wanguan
  • Liu, Quanlong
  • Li, Xinchun
  • Luo, Xixi
  • Wan, YuLong

Abstract

Most coal mine accidents are caused by unsafe behaviors in the production process. Furthermore, there are large quantities of unsafe behavioral data generated in coal mines each year, and the relationships hidden in these data are complex; as a result, finding useful information in these data requires deep analysis. Therefore, to effectively predict and reduce the occurrence of unsafe behaviors in Chinese underground coal mines, this paper analyzes 35,364 unsafe behavioral data from 2220 people during the period from 2013 to 2015 using two methods (association-rule and decision tree) of data mining. The results indicate that the training, attendance, experience and age are the main four factors that affect the frequency of unsafe behaviors, in which the training factor has the greatest impact on unsafe behavior. Moreover, people who have unqualified training, ineffective attendance and less work experience are more likely to conduct unsafe behavior. In addition, six strong association rules about the moderate level of unsafe behavior are excavated using the Apriori algorithm in data mining, and the efficiency of unsafe behavior inspection can be improved by using these strong associations.

Suggested Citation

  • Qiao, Wanguan & Liu, Quanlong & Li, Xinchun & Luo, Xixi & Wan, YuLong, 2018. "Using data mining techniques to analyze the influencing factor of unsafe behaviors in Chinese underground coal mines," Resources Policy, Elsevier, vol. 59(C), pages 210-216.
    • Handle: RePEc:eee:jrpoli:v:59:y:2018:i:c:p:210-216
    DOI: 10.1016/j.resourpol.2018.07.003
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    References listed on IDEAS

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    1. Olafsson, Sigurdur & Li, Xiaonan & Wu, Shuning, 2008. "Operations research and data mining," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1429-1448, June.
    2. Shen, Lei & Gao, Tian-ming & Cheng, Xin, 2012. "China's coal policy since 1979: A brief overview," Energy Policy, Elsevier, vol. 40(C), pages 274-281.
    3. Liu, Quanlong & Li, Xinchun & Qiao, Wanguan & Meng, Xianfei & Li, Xiangong & Shi, Tian, 2017. "Analysis of embedded non-safety regulation games in China's two types of coal mines through safety performance disparity, 1980–2014," Resources Policy, Elsevier, vol. 51(C), pages 265-271.
    4. Wang, Wensheng & Zhang, Chengyi, 2018. "Evaluation of relative technological innovation capability: Model and case study for China's coal mine," Resources Policy, Elsevier, vol. 58(C), pages 144-149.
    5. Chen, Sen-Sen & Xu, Jin-Hua & Fan, Ying, 2015. "Evaluating the effect of coal mine safety supervision system policy in China's coal mining industry: A two-phase analysis," Resources Policy, Elsevier, vol. 46(P2), pages 12-21.
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    11. Jiao Liu & Shuang Li & Weijun Bao & Kun Xu, 2022. "Could the Management System of Safety Partnership Change Miners’ Unsafe Behavior?," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
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