LAPSE:2023.2387
Published Article

LAPSE:2023.2387
Grid-Based Employee Safety Behavior Risk Assessment of the Train Operation Department
February 21, 2023
Abstract
In the train operation department, the most important and dynamic factor is that the department employees are involved in all areas. Realizing the dynamic control of “key person, key event, and key period” to fundamentally curb employee inertia violation is a significant issue that needs to be solved on the railway site. The traditional “probability−severity” two-dimensional risk assessment model is carried out from the perspective of the system, ignoring the spatiotemporal risk characteristics of the individual, and a large amount of hazard factor data generated in the operation process is not applied in the risk assessment process. As a result, safety behavior risk practice lacks pertinence, accuracy, and individuation. This study proposes a safety behavior risk assessment model based on the grid management and hazard factor assignment function to improve the traditional two-dimensional risk matrix. By introducing spatial location variables, the method accurately locates and classifies the site staff and organizes the disorder and lack of associated risk data with regard to time and space. With a focus on the hazard factor, the induced intensity is proposed for the first time and considered as the input of probability calculation to innovate the traditional “probability−severity” risk matrix. Finally, the methodology is applied to the risk event assessment of “the assistant watchman doesn’t appear as required” scenario in the Huangyangcheng station of Shenshuo Railway, and the evaluation results realize the personalized evaluation of the risk event in different cell grids.
In the train operation department, the most important and dynamic factor is that the department employees are involved in all areas. Realizing the dynamic control of “key person, key event, and key period” to fundamentally curb employee inertia violation is a significant issue that needs to be solved on the railway site. The traditional “probability−severity” two-dimensional risk assessment model is carried out from the perspective of the system, ignoring the spatiotemporal risk characteristics of the individual, and a large amount of hazard factor data generated in the operation process is not applied in the risk assessment process. As a result, safety behavior risk practice lacks pertinence, accuracy, and individuation. This study proposes a safety behavior risk assessment model based on the grid management and hazard factor assignment function to improve the traditional two-dimensional risk matrix. By introducing spatial location variables, the method accurately locates and classifies the site staff and organizes the disorder and lack of associated risk data with regard to time and space. With a focus on the hazard factor, the induced intensity is proposed for the first time and considered as the input of probability calculation to innovate the traditional “probability−severity” risk matrix. Finally, the methodology is applied to the risk event assessment of “the assistant watchman doesn’t appear as required” scenario in the Huangyangcheng station of Shenshuo Railway, and the evaluation results realize the personalized evaluation of the risk event in different cell grids.
Record ID
Keywords
grid management, hazard factors, safety behavior risk, train operation department, two-dimensional risk matrix
Suggested Citation
Zhang H, Qi C, Ma M. Grid-Based Employee Safety Behavior Risk Assessment of the Train Operation Department. (2023). LAPSE:2023.2387
Author Affiliations
Zhang H: School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China; Beijing Academy of Safety Engineering and Technology, Beijing 102617, China
Qi C: School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China; Beijing Academy of Safety Engineering and Technology, Beijing 102617, China
Ma M: Beijing Academy of Safety Engineering and Technology, Beijing 102617, China
Qi C: School of Safety Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China; Beijing Academy of Safety Engineering and Technology, Beijing 102617, China
Ma M: Beijing Academy of Safety Engineering and Technology, Beijing 102617, China
Journal Name
Processes
Volume
10
Issue
5
First Page
913
Year
2022
Publication Date
2022-05-05
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10050913, Publication Type: Journal Article
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LAPSE:2023.2387
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https://doi.org/10.3390/pr10050913
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[v1] (Original Submission)
Feb 21, 2023
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Feb 21, 2023
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