IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v59y2018icp210-216.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420718302253
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2018.07.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lan, He & Ma, Xiaoxue & Ma, Laihao & Qiao, Weiliang, 2023. "Pattern investigation of total loss maritime accidents based on association rule mining," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    2. Edyta Brzychczy & Paulina Gackowiec & Mirko Liebetrau, 2020. "Data Analytic Approaches for Mining Process Improvement—Machinery Utilization Use Case," Resources, MDPI, vol. 9(2), pages 1-17, February.
    3. Ruipeng Tong & Yunyun Yang & Xiaofei Ma & Yanwei Zhang & Shian Li & Hongqing Yang, 2019. "Risk Assessment of Miners’ Unsafe Behaviors: A Case Study of Gas Explosion Accidents in Coal Mine, China," IJERPH, MDPI, vol. 16(10), pages 1-18, May.
    4. Lan, He & Ma, Xiaoxue & Qiao, Weiliang & Deng, Wanyi, 2023. "Determining the critical risk factors for predicting the severity of ship collision accidents using a data-driven approach," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    5. Jin Tian & Yundou Wang & Shutian Gao, 2022. "Analysis of Mining-Related Injuries in Chinese Coal Mines and Related Risk Factors: A Statistical Research Study Based on a Meta-Analysis," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    6. Lan, He & Ma, Xiaoxue & Qiao, Weiliang & Ma, Laihao, 2022. "On the causation of seafarers’ unsafe acts using grounded theory and association rule," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    7. Fangyuan Tian & Hongxia Li & Shuicheng Tian & Chenning Tian & Jiang Shao, 2022. "Is There a Difference in Brain Functional Connectivity between Chinese Coal Mine Workers Who Have Engaged in Unsafe Behavior and Those Who Have Not?," IJERPH, MDPI, vol. 19(1), pages 1-21, January.
    8. Ismail, Siti Noraishah & Ramli, Azizan & Aziz, Hanida Abdul, 2021. "Influencing factors on safety culture in mining industry: A systematic literature review approach," Resources Policy, Elsevier, vol. 74(C).
    9. Yinnan, He & Ruxiang, Qin & Bangjun, Wang, 2023. "Spatial and temporal convergence of provincial coal mine safety accidents and production and their influencing factors: Data from 23 coal-producing provinces in China (2005–2021)," Resources Policy, Elsevier, vol. 86(PB).
    10. Qiao, Wanguan, 2021. "Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    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.
    12. Marek Kęsek & Romuald Ogrodnik, 2021. "Method for Determining the Utilization Rate of Thin-Deck Shearers Based on Recorded Electromotor Loads," Energies, MDPI, vol. 14(13), pages 1-14, July.
    13. Rossy Armyn Machfudiyanto & Jieh-Haur Chen & Yusuf Latief & Titi Sari Nurul Rachmawati & Achmad Muhyidin Arifai & Naufal Firmansyah, 2023. "Applying Association Rule Mining to Explore Unsafe Behaviors in the Indonesian Construction Industry," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Quanlong & Wang, Jingzhi & Qiu, Zunxiang, 2023. "Data as evidence: Research on the influencing factors and mechanisms of coal mine safety supervision effect in China," Resources Policy, Elsevier, vol. 81(C).
    2. Qiao, Wanguan & Li, Xinchun & Liu, Quanlong, 2019. "Systemic approaches to incident analysis in coal mines: Comparison of the STAMP, FRAM and “2–4” models," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    3. Liu, Lu & Zhao, Qiuhong & Bi, Yanlin, 2020. "Why rent-seeking behavior may exist in Chinese mining safety production inspection system and how to alleviate it: A tripartite game analysis," Resources Policy, Elsevier, vol. 69(C).
    4. Wang, Yuxin & Fu, Gui & Lyu, Qian & Wu, Yali & Jia, Qinsong & Yang, Xiaoyu & Li, Xiao, 2022. "Reform and development of coal mine safety in China: An analysis from government supervision, technical equipment, and miner education," Resources Policy, Elsevier, vol. 77(C).
    5. Wang, Chengjin & Ducruet, César, 2014. "Transport corridors and regional balance in China: the case of coal trade and logistics," Journal of Transport Geography, Elsevier, vol. 40(C), pages 3-16.
    6. Tarighi, Sina & Shavvalpour, Saeed, 2021. "Technological development of E&P companies in developing countries: An integrative approach to define and prioritize customized elements of technological capability in EOR," Resources Policy, Elsevier, vol. 72(C).
    7. Mark Gilchrist & Deana Lehmann Mooers & Glenn Skrubbeltrang & Francine Vachon, 2012. "Knowledge Discovery in Databases for Competitive Advantage," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 3(2), pages 2-15, April.
    8. Xiaodong Yuan & Weiling Song, 2022. "Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies," Information Technology and Management, Springer, vol. 23(2), pages 65-76, June.
    9. Valentine, Scott Victor, 2014. "The socio-political economy of electricity generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 416-429.
    10. Zhang, Zhiwang & Gao, Guangxia & Shi, Yong, 2014. "Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors," European Journal of Operational Research, Elsevier, vol. 237(1), pages 335-348.
    11. Maysam Eftekhary & Peyman Gholami & Saeed Safari & Mohammad Shojaee, 2012. "Ranking Normalization Methods for Improving the Accuracy of SVM Algorithm by DEA Method," Modern Applied Science, Canadian Center of Science and Education, vol. 6(10), pages 1-26, October.
    12. Shuai Han & Hong Chen & Maggie-Anne Harvey & Eric Stemn & David Cliff, 2018. "Focusing on Coal Workers’ Lung Diseases: A Comparative Analysis of China, Australia, and the United States," IJERPH, MDPI, vol. 15(11), pages 1-26, November.
    13. Shitao Gong & Xin Gao & Zhou Li & Linyan Chen, 2021. "Developing a Dynamic Supervision Mechanism to Improve Construction Safety Investment Supervision Efficiency in China: Theoretical Simulation of Evolutionary Game Process," IJERPH, MDPI, vol. 18(7), pages 1-29, March.
    14. Tan, Jing & Liu, Tianyi & Xu, Hao, 2024. "The environmental and economic consequences of environmental centralization: Evidence from China's environmental vertical management reform," China Economic Review, Elsevier, vol. 84(C).
    15. Jiskani, Izhar Mithal & Cai, Qingxiang & Zhou, Wei & Ali Shah, Syed Ahsan, 2021. "Green and climate-smart mining: A framework to analyze open-pit mines for cleaner mineral production," Resources Policy, Elsevier, vol. 71(C).
    16. Qiao, Wanguan, 2021. "Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    17. Dzonzi-Undi, Junice & Li, Shixiang, 2016. "Safety and environmental inputs investment effect analysis: Empirical study of selected coal mining firms in China," Resources Policy, Elsevier, vol. 47(C), pages 178-186.
    18. Ramli, Azizul Azhar & Watada, Junzo & Pedrycz, Witold, 2011. "Real-time fuzzy regression analysis: A convex hull approach," European Journal of Operational Research, Elsevier, vol. 210(3), pages 606-617, May.
    19. necula, sabina-cristiana & Radu, Laura-Diana, 2011. "Decision Support Systems Usefulness and A Practical Solution Based on Semantic Web Technologies," MPRA Paper 51547, University Library of Munich, Germany.
    20. Carrizosa, Emilio & Guerrero, Vanesa & Romero Morales, Dolores, 2018. "On Mathematical Optimization for the visualization of frequencies and adjacencies as rectangular maps," European Journal of Operational Research, Elsevier, vol. 265(1), pages 290-302.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:59:y:2018:i:c:p:210-216. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.