IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v86y2023ipas030142072300778x.html
   My bibliography  Save this article

Dynamic simulation and control strategy exploration of the unsafe behavior of coal mine employees

Author

Listed:
  • Li, Wanzhen
  • Zhou, Lujie
  • Hao, Jian
  • Yu, Kai
  • Chen, Jing
  • Liu, Pingping
  • Feng, Rui

Abstract

Approximately 80% of production safety accidents in Chinese coal mining industry companies are caused by unsafe behaviors. Therefore, in-depth study of employees unsafe behavior and its control technology have great practical and theoretical value for the prevention and control of coal mine accidents. In this paper, a dynamic simulation model of the unsafe behavior of coal mine workers is established, and 28 factors that affect the unsafe behavior of coal mine workers are summarized. Combined with agent and system dynamics, a dynamic simulation of the change law of unsafe behavior of coal mine workers is carried out, and unsafe behavior is found. The simulation results between different groups are consistent. Through the study of interventions and control measures for the unsafe behavior of coal mine employees, a control strategy for the unsafe behavior of coal mine employees is proposed, and a control strategy base is established. According to the situation, this kind of result will strengthen the early-warning control of unsafe behaviors and provide a practical method for the guidance of safety management. Research on unsafe behavior can potentially solve the safety management of coal mining enterprises.

Suggested Citation

  • Li, Wanzhen & Zhou, Lujie & Hao, Jian & Yu, Kai & Chen, Jing & Liu, Pingping & Feng, Rui, 2023. "Dynamic simulation and control strategy exploration of the unsafe behavior of coal mine employees," Resources Policy, Elsevier, vol. 86(PA).
  • Handle: RePEc:eee:jrpoli:v:86:y:2023:i:pa:s030142072300778x
    DOI: 10.1016/j.resourpol.2023.104067
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142072300778X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2023.104067?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.

    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:86:y:2023:i:pa:s030142072300778x. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.