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

Wanzhen Li, Lujie Zhou, Jian Hao, Kai Yu, Jing Chen, Pingping Liu and Rui Feng

Resources Policy, 2023, vol. 86, issue PA

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.

Keywords: Coal mine employees; Unsafe behavior; Early warning; Control strategy (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:86:y:2023:i:pa:s030142072300778x

DOI: 10.1016/j.resourpol.2023.104067

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