Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM
Continuous metro-operation accidents lead to serious economic loss and a negative social impact. The accident causation analysis is of great significance for accident prevention and metro operation safety promotion. Network node importance (NNI) evaluation has been widely used as a tool for ranking...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/2397203 |
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| _version_ | 1849691014240927744 |
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| author | Xin Wan Yantong Zhang Rubing Wang Jingfeng Yuan Mengliu Hu Ruyu Li Minye Wang Ziyao Huang Cheng Tu Fujian Zhong Wenjing Cui |
| author_facet | Xin Wan Yantong Zhang Rubing Wang Jingfeng Yuan Mengliu Hu Ruyu Li Minye Wang Ziyao Huang Cheng Tu Fujian Zhong Wenjing Cui |
| author_sort | Xin Wan |
| collection | DOAJ |
| description | Continuous metro-operation accidents lead to serious economic loss and a negative social impact. The accident causation analysis is of great significance for accident prevention and metro operation safety promotion. Network node importance (NNI) evaluation has been widely used as a tool for ranking the nodes in complex networks; however, traditional indicators such as degree centrality (DC) are insufficient for examining accident networks. This study proposed an improved method by integrating decision making trail and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) into traditional NNI evaluation, where the key nodes are determined by both the nature of the accident network topology and the contribution of the nodes to accident development. Drawing on this method, 32 accident causal factors were identified and prioritized on the ground of 248 accident cases. It was found that 14 important factors related to staff (e.g., “driver noncompliance”), environment (e.g., “extrinsic nature disturbance”), passenger (e.g., “passenger sudden illness”), and machine (e.g., “track failures”) should be given priority in safety management due to their significant tendency of causing metro accidents. Theoretical and managerial implications were discussed to provide useful insights into the understanding of the causation of metro accidents and form a basis for metro managers to develop targeted safety countermeasures related to metro operation. The proposed hybrid method is proven effective in investigating accident networks involving sequential and casual relationships and revealing factors with high possibility to increase accidents. |
| format | Article |
| id | doaj-art-e90895213f5d400e9beee9bdd9f079f5 |
| institution | DOAJ |
| issn | 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-e90895213f5d400e9beee9bdd9f079f52025-08-20T03:21:09ZengWileyComplexity1099-05262021-01-01202110.1155/2021/2397203Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISMXin Wan0Yantong Zhang1Rubing Wang2Jingfeng Yuan3Mengliu Hu4Ruyu Li5Minye Wang6Ziyao Huang7Cheng Tu8Fujian Zhong9Wenjing Cui10School of BusinessSchool of BusinessSchool of BusinessDepartment of Construction and Real EstateSchool of BusinessSchool of BusinessSchool of BusinessSchool of BusinessThe Architectural Design & Research Institute of Zhejiang University Co., Ltd.School of BusinessSchool of BusinessContinuous metro-operation accidents lead to serious economic loss and a negative social impact. The accident causation analysis is of great significance for accident prevention and metro operation safety promotion. Network node importance (NNI) evaluation has been widely used as a tool for ranking the nodes in complex networks; however, traditional indicators such as degree centrality (DC) are insufficient for examining accident networks. This study proposed an improved method by integrating decision making trail and evaluation laboratory (DEMATEL) and interpretive structural modeling (ISM) into traditional NNI evaluation, where the key nodes are determined by both the nature of the accident network topology and the contribution of the nodes to accident development. Drawing on this method, 32 accident causal factors were identified and prioritized on the ground of 248 accident cases. It was found that 14 important factors related to staff (e.g., “driver noncompliance”), environment (e.g., “extrinsic nature disturbance”), passenger (e.g., “passenger sudden illness”), and machine (e.g., “track failures”) should be given priority in safety management due to their significant tendency of causing metro accidents. Theoretical and managerial implications were discussed to provide useful insights into the understanding of the causation of metro accidents and form a basis for metro managers to develop targeted safety countermeasures related to metro operation. The proposed hybrid method is proven effective in investigating accident networks involving sequential and casual relationships and revealing factors with high possibility to increase accidents.http://dx.doi.org/10.1155/2021/2397203 |
| spellingShingle | Xin Wan Yantong Zhang Rubing Wang Jingfeng Yuan Mengliu Hu Ruyu Li Minye Wang Ziyao Huang Cheng Tu Fujian Zhong Wenjing Cui Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM Complexity |
| title | Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM |
| title_full | Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM |
| title_fullStr | Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM |
| title_full_unstemmed | Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM |
| title_short | Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM |
| title_sort | causation of metro operation accidents in china calculation of network node importance based on dematel and ism |
| url | http://dx.doi.org/10.1155/2021/2397203 |
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