A popular systemic accident model in China: Theory and applications of 24Model

Wu, Yali; Gui, Fu; Wu, Zhirong; Wang, Yuxin; Xie, Xiaochun; Meng, Han; Lyu, Qian

doi:10.1016/j.ssci.2022.106013

Cited by 18 publications

(17 citation statements)

References 19 publications

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“…In the 24Model, safety habits refer to acts that are often repeated in daily work, that is, the usual practice, excluding acts in accidents. 14 Although some non-compliant or high-risk acts that often occur in daily work do not cause accidents, they still have the potential to do so. If these acts have already led to an accident, these become unsafe acts as described in 24Model.…”

Section: Safety Habitmentioning

confidence: 99%

“…Safety psychology refers to the daily psychological condition of the person making the acts. 14 According to Webster's Dictionary and the Cambridge Dictionary, psychology is of or relating to the mind, or involves the process of thinking. Thus, in the 24Model, safety psychological conditions are conditions relating to the mind or involving the thinking process of the person making the act.…”

Section: Safety Psychologymentioning

confidence: 99%

“…Safety physiology refers to the daily physiological condition of the person making the act. 14 According to Webster's dictionary, physiology is related to the functioning of living bodies or their parts. Thus, in the 24Model, safety physiological conditions are conditions relating to the functioning of living bodies or the parts of the person making the act.…”

Section: Safety Physiologymentioning

confidence: 99%

“…For example, it clarifies the definition of safety capabilities and divides safety capability factors into five aspects, including safety knowledge, safety awareness, safety habits, safety physiology, and safety psychology. 14 Moreover, it believes that acts are driven by safety capabilities and unsafe acts in accidents are caused by the lack of safety capabilities of the act maker. Hence, the causal analysis framework based on safety capabilities in the 24Model can provide a supplement to the existing accident causal analysis methods.…”

mentioning

confidence: 99%

“…Among them, safety behavior and safety capability belong to the individual level, while safety management systems and safety culture belong to the organizational level. 14 The influencing process among the four factors is called behavior in the 24Model shown in Figure 1. The process in which organizational factors affect individual factors is called organizational behavior (black arrows in Figure 2), and the process in which individual factors affect other factors is called individual behavior (gray arrows in Figure 2).…”

mentioning

confidence: 99%

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Cause analysis framework from a safety capability perspective: Application to Tianjiayi hazardous chemical explosion accident

Lyu

Gui

Wang

et al. 2023

Process Safety Progress

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Identifying the causes of accidents is essential for learning lessons and preventing similar accidents. Safety capability factors cannot be ignored when considering the causes of accidents. Therefore, safety capability is an important perspective to develop a cause analysis framework. This study focuses on a cause analysis framework based on safety capability in the 24Model. First, this study introduces the safety capability in the 24Model and elaborates on the five safety capability dimensions. Second, a 24Model‐based causal analysis framework from a safety capability perspective and its application process is proposed. Third, the Tianjiayi explosion accident is analyzed using the proposed framework. In this accident, fourteen safety capability factors in four categories: safety knowledge, safety awareness, safety habits, and safety psychology are identified and analyzed. The case study provides a critical process demonstration for analyzing safety capability factors and validates the usability of the proposed framework. Additionally, the strengths of the framework and the limitations of the study are discussed. In the future, this framework can facilitate the development of a safety capability factor database and data‐driven safety management approaches.

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Section: Safety Habitmentioning

confidence: 99%

Section: Safety Psychologymentioning

confidence: 99%

Section: Safety Physiologymentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Cause analysis framework from a safety capability perspective: Application to Tianjiayi hazardous chemical explosion accident

Lyu

Gui

Wang

et al. 2023

Process Safety Progress

Self Cite

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A low-light image enhancement method for personnel safety monitoring in underground coal mines

Yang,

Wang,

et al. 2024

Complex Intell. Syst.

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Intelligent monitoring technology plays an important role in promoting the development of coal mine safety management. Low illumination in the coal mine underground leads to difficult recognition of monitoring images and poor personnel detection accuracy. To alleviate this problem, a low illuminance image enhancement method proposed for personnel safety monitoring in underground coal mines. Specifically, the local enhancement module maps low illumination to normal illumination at pixel level preserving image details as much as possible. The transformer-based global adjustment module is applied to the locally enhanced images to avoid over-enhancement of bright areas and under-illumination of dark areas, and to prevent possible color deviations in the enhancement process. In addition, a feature similarity loss is proposed to constrain the similarity of target features to avoid the possible detrimental effect of enhancement on detection. Experimental results show that the proposed method improves the detection accuracy by 7.1% on the coal mine underground personal dataset, obtaining the highest accuracy compared to several other methods. The proposed method effectively improves the visualization and detection performance of low-light images, which contributes to the personnel safety monitoring in underground coal mines.

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A process-based model for effective and sustainable work safety analysis in zimbabwe: A review

Shabani,

Jerie,

Shabani

2023

Saf. Extreme Environ.

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A popular systemic accident model in China: Theory and applications of 24Model

Cited by 18 publications

References 19 publications

Cause analysis framework from a safety capability perspective: Application to Tianjiayi hazardous chemical explosion accident

Cause analysis framework from a safety capability perspective: Application to Tianjiayi hazardous chemical explosion accident

A low-light image enhancement method for personnel safety monitoring in underground coal mines

A process-based model for effective and sustainable work safety analysis in zimbabwe: A review

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