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Quantification analysis of potential risk in railway accidents: A new random walk based approach

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  • Liu, Yanyan
  • Li, Keping
  • Yan, Dongyang

Abstract

Safety and efficiency are the fundamental goals to improve the transportation capacity and service level of railway system. Moreover, the accurate description and in-depth exploration of potential risks are essential in reducing the railway accidents. However, there have been limited publications that focus on quantitatively analyzing the potential risk of railway accidents by using the random walk method. In this paper, a new random walk method named Comprehensive-Biased Random Walk with Different Restart (CBDRWR) is proposed in analyzing the potential risk of railway accident generation process. Combined with the established accident causation network, we give each node a different restart probability and comprehensively improve the biased transition probabilities. According to the solution algorithm of CBDRWR equation, we propose four evaluation indexes for quantifying and analyzing the potential risk of accident occurrence. In the case study, the proposed method is used to analyze the Federal Railroad Administration (FRA) dataset. The experimental results verify that the proposed method can effectively quantify the potential risk and quickly locate the key risk sources. Resultantly, this research can provide an accurate, scientific and reasonable basis for railway accident prevention and rescue.

Suggested Citation

  • Liu, Yanyan & Li, Keping & Yan, Dongyang, 2024. "Quantification analysis of potential risk in railway accidents: A new random walk based approach," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006920
    DOI: 10.1016/j.ress.2023.109778
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    References listed on IDEAS

    as
    1. Iraj Mohammadfam & Esmaeil Zarei & Mohammad Yazdi & Kamran Gholamizadeh & Alessandro Della Corte, 2022. "Quantitative Risk Analysis on Rail Transportation of Hazardous Materials," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, March.
    2. Chao Wu & Chengxuan Cao & Yahua Sun & Keping Li, 2015. "Modeling and Analysis of Train Rear-End Collision Accidents Based on Stochastic Petri Nets," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-9, September.
    3. Gu, Shuang & Li, Keping & Feng, Tao & Yan, Dongyang & Liu, Yanyan, 2022. "The prediction of potential risk path in railway traffic events," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. Zhou, Yinzuo & Wu, Chencheng & Tan, Lulu, 2021. "Biased random walk with restart for link prediction with graph embedding method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    5. Huang, Wencheng & Zhang, Yue & Kou, Xingyi & Yin, Dezhi & Mi, Rongwei & Li, Linqing, 2020. "Railway dangerous goods transportation system risk analysis: An Interpretive Structural Modeling and Bayesian Network combining approach," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    6. Huang, Wencheng & Zhang, Rui & Xu, Minhao & Yu, Yaocheng & Xu, Yifei & De Dieu, Gatesi Jean, 2020. "Risk state changes analysis of railway dangerous goods transportation system: Based on the cusp catastrophe model," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    7. Braut, Geir Sverre & Solberg, Øivind & Njå, Ove, 2014. "Organizational effects of experience from accidents. Learning in the aftermath of the Tretten and Åsta train accidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 354-366.
    8. Liu, Jintao & Schmid, Felix & Li, Keping & Zheng, Wei, 2021. "A knowledge graph-based approach for exploring railway operational accidents," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    9. Dindar, Serdar & Kaewunruen, Sakdirat & An, Min, 2022. "A hierarchical Bayesian-based model for hazard analysis of climate effect on failures of railway turnout components," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    10. Zhipeng Zhang & Xiang Liu, 2020. "Safety risk analysis of restricted-speed train accidents in the United States," Journal of Risk Research, Taylor & Francis Journals, vol. 23(9), pages 1158-1176, September.
    11. Xie, Shuyi & Dong, Shaohua & Chen, Yinuo & Peng, Yujie & Li, Xincai, 2021. "A novel risk evaluation method for fire and explosion accidents in oil depots using bow-tie analysis and risk matrix analysis method based on cloud model theory," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    12. Tiancheng Cao & Wenxin Mu & Juanqiong Gou & Liyu Peng, 2020. "A Study of Risk Relevance Reasoning Based on a Context Ontology of Railway Accidents," Risk Analysis, John Wiley & Sons, vol. 40(8), pages 1589-1611, August.
    13. Lü, Linyuan & Zhou, Tao, 2011. "Link prediction in complex networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1150-1170.
    14. Wang, Qun & Jia, Guozhu & Jia, Yuning & Song, Wenyan, 2021. "A new approach for risk assessment of failure modes considering risk interaction and propagation effects," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    15. Zhou, Jin & Xu, Weixiang & Guo, Xin & Ding, Jing, 2015. "A method for modeling and analysis of directed weighted accident causation network (DWACN)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 263-277.
    16. Kim, Dong San & Baek, Dong Hyun & Yoon, Wan Chul, 2010. "Development and evaluation of a computer-aided system for analyzing human error in railway operations," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 87-98.
    17. Liu Yang & Keping Li & Dan Zhao & Shuang Gu & Dongyang Yan, 2019. "A Network Method for Identifying the Root Cause of High-Speed Rail Faults Based on Text Data," Energies, MDPI, vol. 12(10), pages 1-17, May.
    18. Haixiang Lin & Tengfei Yuan & Wansheng Bai & Zhengxiang Zhao & Ran Lu & Xinqin Li & Qi Lin, 2022. "Railway Signaling Safety Factors Quantitative Analysis Using an Improved 5M Model," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    19. Liu, Yanyan & Li, Keping & Yan, Dongyang & Gu, Shuang, 2022. "A network-based CNN model to identify the hidden information in text data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
    20. Fan, Shiqi & Blanco-Davis, Eduardo & Yang, Zaili & Zhang, Jinfen & Yan, Xinping, 2020. "Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    21. Woojeong Jin & Jinhong Jung & U Kang, 2019. "Supervised and extended restart in random walks for ranking and link prediction in networks," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-23, March.
    22. Wang, Yangpeng & Li, Shuxiang & Lee, Kangkuen & Tam, Hwayaw & Qu, Yuanju & Huang, Jingyin & Chu, Xianghua, 2023. "Accident risk tensor-specific covariant model for railway accident risk assessment and prediction," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    23. Liu, Jintao & Schmid, Felix & Zheng, Wei & Zhu, Jiebei, 2019. "Understanding railway operational accidents using network theory," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 218-231.
    24. Rose, Rodrigo L. & Mugi, Sohan R. & Saleh, Joseph Homer, 2023. "Accident investigation and lessons not learned: AcciMap analysis of successive tailings dam collapses in Brazil," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    25. Yanyan Liu & Keping Li & Dongyang Yan & Shuang Gu, 2023. "The prediction of disaster risk paths based on IECNN model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 163-188, May.
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