Abstract

Workload is one of the reasons that affect unsafe behavior in coal mines. This article divides workload into six dimensions: physical demand, mental demand, time demand, performance level, effort level and frustration level, and introduces miner emotions as an intermediary variable to study the impact of workload on unsafe behavior. Through a questionnaire survey of coal mine workers, a structural equation model of coal mine workers’ workload and unsafe behavior is constructed. The results show that the six dimensions of workload have a significant impact on emotions. Physical demand, mental demand, time demand and frustration level have a significant impact on unsafe behaviors. Performance level and effort level have no significant impact on unsafe behaviors.

Highlights

  • The direct cause of safety accidents is the unsafe behavior of people and the unsafe state of things

  • The following hypotheses are proposed: H6a: the level of frustration has a positive effect on unsafe behavior; H6b: the level of frustration has a negative effect on emotions

  • The research hypothesis is proposed: H7: Emotion has a negative influence on unsafe behavior of coal miners

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Summary

Introduction

The direct cause of safety accidents is the unsafe behavior of people and the unsafe state of things. The work of coal miners is a rotating operation mode, which takes a long time to work underground. There are a series of preparations before going down and the actual working time of coal miners. The poor underground environment, heavy tools and equipment, and long hours of daily labor make the coal miners' workload too heavy. It is easy to cause physical exhaustion, which makes the miners’ satisfaction and mental emotions poor, leading to safety status. How to effectively alleviate the work load of coal miners is very important to prevent unsafe behaviors of coal miners and reduce the occurrence of unsafe accidents

Theory construction and research hypothesis
Emotions and unsafe behaviors
Research objects
Unsafe Behavior Scale
Workload Scale
Reliability and validity analysis of the scale
Analysis of model running results
Findings
Conclusion
Full Text
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