IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12018-d922728.html
   My bibliography  Save this article

Disaster-Causing Mechanism of Hidden Disaster-Causing Factors of Major and Extraordinarily Serious Gas Explosion Accidents in Coal Mine Goafs

Author

Listed:
  • Shuicheng Tian

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Institute of Safety and Emergency Management, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Junrui Mao

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Institute of Safety and Emergency Management, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Hongxia Li

    (College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Institute of Safety and Emergency Management, Xi’an University of Science and Technology, Xi’an 710054, China)

Abstract

Hidden disaster-causing factors (HDCFs) in coal mines can be identified via the rerefinement and classification of disaster-causing factors (DCFs) in coal mines. The study of the disaster-causing mechanism of accidents from the perspective of HDCFs in coal mines could be helpful to analyze the accident occurrence process from a new perspective, and new ideas for accident prevention and control could then be proposed. To clarify the disaster-causing mechanism of HDCFs of major and extraordinarily serious gas explosion accidents (MESGEAs) in coal mine goafs, 32 MESGEAs in coal mine goafs in China from 2000 to 2021 were adopted as a data source. By redefining the definition, connotation and characteristics of HDCFs in coal mines, 10 HDCFs were identified. Consequently, an improved decision-making trial and evaluation laboratory (DEMATEL)-interpretive structural model (ISM)-matrix of cross impact multiplications applied to classification (MICMAC) model was used to comprehensively analyze HDCFs in 3 aspects, including the centrality and cause degrees, hierarchical structure, and driving and dependence powers, from a completely objective perspective. The results demonstrated that (1) the considered MESGEAs in coal mine goafs were caused by DCFs in the management aspect by affecting the DCFs in the 3 aspects of human factors, equipment and environment, as well as under the combined effect of DCFs internal interaction contained in itself. (2) There were 2 types of disaster-causing mechanisms of HDCFs of MESGEAs in coal mine goafs: (a) the indirect disaster-causing by HDCFs in the management aspect and (b) the random coupling disaster-causing by HDCFs in human factors, equipment and environment 3 aspects.

Suggested Citation

  • Shuicheng Tian & Junrui Mao & Hongxia Li, 2022. "Disaster-Causing Mechanism of Hidden Disaster-Causing Factors of Major and Extraordinarily Serious Gas Explosion Accidents in Coal Mine Goafs," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12018-:d:922728
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12018/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/19/12018/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jinjia Zhang & Kaili Xu & Greg You & Beibei Wang & Lei Zhao, 2019. "Causation Analysis of Risk Coupling of Gas Explosion Accident in Chinese Underground Coal Mines," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1634-1646, July.
    2. Li, Lin & Qin, Botao & Liu, Jishan & Leong, Yee-Kwong, 2020. "Integrated experimentation and modeling of the formation processes underlying coal combustion-triggered methane explosions in a mined-out area," Energy, Elsevier, vol. 203(C).
    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. Yongbo Li & Ali Diabat & Chung-Cheng Lu, 2020. "Leagile supplier selection in Chinese textile industries: a DEMATEL approach," Annals of Operations Research, Springer, vol. 287(1), pages 303-322, April.
    5. Kęstutis Peleckis, 2021. "Application of the DEMATEL Model for Assessing IT Sector’s Sustainability," Sustainability, MDPI, vol. 13(24), pages 1-14, December.
    6. Gilberto Montibeller & Detlof von Winterfeldt, 2015. "Cognitive and Motivational Biases in Decision and Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 35(7), pages 1230-1251, July.
    Full references (including those not matched with items on IDEAS)

    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. Yang, Yu & Chen, Dongjing, 2022. "Issues of corporate social responsibility in the mining industry: The case of China," Resources Policy, Elsevier, vol. 76(C).
    2. Guirong Zhang & Wei Feng & Yu Lei, 2022. "Human Factor Analysis (HFA) Based on a Complex Network and Its Application in Gas Explosion Accidents," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    3. Shuang Liu & Kirsten Maclean & Cathy Robinson, 2019. "A cost-effective framework to prioritise stakeholder participation options," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 221-241, November.
    4. Mahmood Safaei & Elankovan A. Sundararajan & Shahla Asadi & Mehrbakhsh Nilashi & Mohd Juzaiddin Ab Aziz & M. S. Saravanan & Maha Abdelhaq & Raed Alsaqour, 2022. "A Hybrid MCDM Approach Based on Fuzzy-Logic and DEMATEL to Evaluate Adult Obesity," IJERPH, MDPI, vol. 19(23), pages 1-21, November.
    5. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    6. Ye, Congliang & Zhang, Qi, 2022. "Chain explosion behaviors induced by discontinuous methane/air distribution," Energy, Elsevier, vol. 252(C).
    7. Jaspersen, Johannes G., 2022. "Convex combinations in judgment aggregation," European Journal of Operational Research, Elsevier, vol. 299(2), pages 780-794.
    8. Wang, Qun & Jia, Guozhu & Song, Wenyan, 2022. "Identifying critical factors in systems with interrelated components: A method considering heterogeneous influence and strength attenuation," European Journal of Operational Research, Elsevier, vol. 303(1), pages 456-470.
    9. 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.
    10. Dimitrios Gouglas & Kendall Hoyt & Elizabeth Peacocke & Aristidis Kaloudis & Trygve Ottersen & John-Arne Røttingen, 2019. "Setting Strategic Objectives for the Coalition for Epidemic Preparedness Innovations: An Exploratory Decision Analysis Process," Service Science, INFORMS, vol. 49(6), pages 430-446, November.
    11. Titov Sergei & Trachuk Arkady & Linder Natalya & RD Pathak & Danny Samson & Zafar Husain & S Sushil, 2023. "Digital transformation enablers in high-tech and low-tech companies: A comparative analysis," Australian Journal of Management, Australian School of Business, vol. 48(4), pages 801-843, November.
    12. Siebert, Johannes Ulrich & Kunz, Reinhard E. & Rolf, Philipp, 2021. "Effects of decision training on individuals’ decision-making proactivity," European Journal of Operational Research, Elsevier, vol. 294(1), pages 264-282.
    13. Gary J. Summers, 2021. "Friction and Decision Rules in Portfolio Decision Analysis," Decision Analysis, INFORMS, vol. 18(2), pages 101-120, June.
    14. Mónica D. Oliveira & Inês Mataloto & Panos Kanavos, 2019. "Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 891-918, August.
    15. Marttunen, Mika & Haara, Arto & Hjerppe, Turo & Kurttila, Mikko & Liesiö, Juuso & Mustajoki, Jyri & Saarikoski, Heli & Tolvanen, Anne, 2023. "Parallel and comparative use of three multicriteria decision support methods in an environmental portfolio problem," European Journal of Operational Research, Elsevier, vol. 307(2), pages 842-859.
    16. Parreiras, R.O. & Kokshenev, I. & Carvalho, M.O.M. & Willer, A.C.M. & Dellezzopolles, C.F. & Nacif, D.B. & Santana, J.A., 2019. "A flexible multicriteria decision-making methodology to support the strategic management of Science, Technology and Innovation research funding programs," European Journal of Operational Research, Elsevier, vol. 272(2), pages 725-739.
    17. Gerda Ana Melnik-Leroy & Gintautas Dzemyda, 2021. "How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases," Mathematics, MDPI, vol. 9(2), pages 1-25, January.
    18. Jin-Hwan Bae & Jin-Woo Park, 2021. "Research into Individual Factors Affecting Safety within Airport Subsidiaries," Sustainability, MDPI, vol. 13(9), pages 1-13, May.
    19. Anca M. Hanea & Marissa F. McBride & Mark A. Burgman & Bonnie C. Wintle, 2018. "The Value of Performance Weights and Discussion in Aggregated Expert Judgments," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1781-1794, September.
    20. Jiang, Haipeng & Bi, Mingshu & Gao, Zehua & Zhang, Zongling & Gao, Wei, 2022. "Effect of turbulence intensity on flame propagation and extinction limits of methane/coal dust explosions," Energy, Elsevier, vol. 239(PC).

    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:gam:jsusta:v:14:y:2022:i:19:p:12018-:d:922728. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.