Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method
Nowadays, in terms of complex and random incidents for locomotive operation, the prevention and control for every tiny and possible influencing factor is not only costly, but also brings great psychological burden to locomotive drivers. Firstly, 68 sets of data of railway locomotive operation accide...
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University of Zagreb, Faculty of Transport and Traffic Sciences
2025-02-01
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| Series: | Promet (Zagreb) |
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| Online Access: | https://traffic2.fpz.hr/index.php/PROMTT/article/view/659 |
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| author | Ping WAN Wei-Lun YANG Jie-Wen LUO Xiao-Feng MA |
| author_facet | Ping WAN Wei-Lun YANG Jie-Wen LUO Xiao-Feng MA |
| author_sort | Ping WAN |
| collection | DOAJ |
| description | Nowadays, in terms of complex and random incidents for locomotive operation, the prevention and control for every tiny and possible influencing factor is not only costly, but also brings great psychological burden to locomotive drivers. Firstly, 68 sets of data of railway locomotive operation accidents happened in recent two years were collected and compiled. Secondly, the system theory process analysis (STPA) method was adopted to extract 68 accident chains based on those data. Then, the complex network theory and PageRank algorithm were utilised to calculate the importance of every node in directed-weighted network formed by those accident chains. The results showed that the importance of human factors is significantly higher than other layers including environment, facility and management. Especially, no effective control behaviour (H7) and false control behaviour (H10) are the top two important causative nodes among all human factors. Besides, being forced to stop (D39) and overrunning of signal (D42) are the top two important causative nodes among unsafe events. For those nodes with high value of PageRank, some targeted security measures should be adopted, so as to save risk management investment and improve the overall safety level of the locomotive operation system. |
| format | Article |
| id | doaj-art-4df4172c927747bdb1478e0acc4f51f7 |
| institution | Kabale University |
| issn | 0353-5320 1848-4069 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
| record_format | Article |
| series | Promet (Zagreb) |
| spelling | doaj-art-4df4172c927747bdb1478e0acc4f51f72025-02-06T12:36:20ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692025-02-0137113715010.7307/ptt.v37i1.659659Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank MethodPing WAN0Wei-Lun YANG1Jie-Wen LUO2Xiao-Feng MA3East China Jiaotong University, School of Transportation EngineeringEast China Jiaotong University, School of Transportation EngineeringEast China Jiaotong University, School of Transportation EngineeringWuhan University of Technology, Intelligent Transport Systems Research CentreNowadays, in terms of complex and random incidents for locomotive operation, the prevention and control for every tiny and possible influencing factor is not only costly, but also brings great psychological burden to locomotive drivers. Firstly, 68 sets of data of railway locomotive operation accidents happened in recent two years were collected and compiled. Secondly, the system theory process analysis (STPA) method was adopted to extract 68 accident chains based on those data. Then, the complex network theory and PageRank algorithm were utilised to calculate the importance of every node in directed-weighted network formed by those accident chains. The results showed that the importance of human factors is significantly higher than other layers including environment, facility and management. Especially, no effective control behaviour (H7) and false control behaviour (H10) are the top two important causative nodes among all human factors. Besides, being forced to stop (D39) and overrunning of signal (D42) are the top two important causative nodes among unsafe events. For those nodes with high value of PageRank, some targeted security measures should be adopted, so as to save risk management investment and improve the overall safety level of the locomotive operation system.https://traffic2.fpz.hr/index.php/PROMTT/article/view/659railway locomotive operationrisk managementcomplex networkstpapagerank |
| spellingShingle | Ping WAN Wei-Lun YANG Jie-Wen LUO Xiao-Feng MA Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method Promet (Zagreb) railway locomotive operation risk management complex network stpa pagerank |
| title | Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method |
| title_full | Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method |
| title_fullStr | Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method |
| title_full_unstemmed | Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method |
| title_short | Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method |
| title_sort | importance analysis of causative nodes for accident chains of railway locomotive operation based on stpa pagerank method |
| topic | railway locomotive operation risk management complex network stpa pagerank |
| url | https://traffic2.fpz.hr/index.php/PROMTT/article/view/659 |
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