Railway Signaling Safety Factors Quantitative Analysis Using an Improved 5M Model

Haixiang Lin, Tengfei Yuan, Wansheng Bai, Zhengxiang Zhao, Ran Lu, Xinqin Li and Qi Lin
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Haixiang Lin: Key Laboratory of Railway Industry of BIM Engineering and Intelligent for Electric Power, Traction Power Supply, Communication and Signaling, Lanzhou Jiaotong University, Lanzhou 730070, China
Tengfei Yuan: SHU-UTS SILC Business School, Shanghai University, Shanghai 201800, China
Wansheng Bai: School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Zhengxiang Zhao: School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Ran Lu: School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Xinqin Li: Institute of Computing Technology, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China
Qi Lin: School of Materials Science and Engineering, Beihang University, Beijng 100191, China

Sustainability, 2022, vol. 14, issue 10, 1-15

Abstract: In order to improve the sustainability of modern cities, the safe operation of rail transportation is critical. Meanwhile, rail signaling safety is also fundamental for rail transportation, and quantitative analysis of railway signaling safety factors can guarantee this basis. To achieve this, this research proposes an improved rail signaling 5M (Management-Machine-Man-Media-Mission) accident cause hierarchical model, which can make up for the previous lack of objectivity and statistics. According to the demands of rail signaling accident analysis, this research collects and classifies the rail signaling accident data from 2000 to 2017. Then, the hierarchical association rule method is used to calculate the relationships between the 5M factors, and the factor analysis method is applied to measure the weights of the 5M subfactors. Therefore, the safety evaluation index system for railway signaling system is established. The results show that the Management element is the most important factor in rail signaling accidents, while the Mission element is dispensable. Moreover, the subfactors, such as the equipment material, safety management, external humans affected, and hidden danger should also not be ignored. Eventually, the rail signaling accidents analysis is conducted between the 5M model and the improved 5M model; the comparison shows that the improved 5M can not only improve the safety factors influence rate by more than 84.64%, but it can also improve the railway signaling safety, which can provide strong support for the safe operation of rail transportation and sustainable development of a modern city.

Keywords: railway signaling safety; quantitative analysis; improved 5M model; data mining (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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