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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Autores principales: Xin Wan, Yantong Zhang, Rubing Wang, Jingfeng Yuan, Mengliu Hu, Ruyu Li, Minye Wang, Ziyao Huang, Cheng Tu, Fujian Zhong, Wenjing Cui
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Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/e90895213f5d400e9beee9bdd9f079f5
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spelling oai:doaj.org-article:e90895213f5d400e9beee9bdd9f079f52021-11-29T00:56:28ZCausation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM1099-052610.1155/2021/2397203https://doaj.org/article/e90895213f5d400e9beee9bdd9f079f52021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2397203https://doaj.org/toc/1099-0526Continuous 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.Xin WanYantong ZhangRubing WangJingfeng YuanMengliu HuRuyu LiMinye WangZiyao HuangCheng TuFujian ZhongWenjing CuiHindawi-WileyarticleElectronic computers. Computer scienceQA75.5-76.95ENComplexity, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Electronic computers. Computer science
QA75.5-76.95
spellingShingle Electronic computers. Computer science
QA75.5-76.95
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
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
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
title 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_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_sort causation of metro operation accidents in china: calculation of network node importance based on dematel and ism
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/e90895213f5d400e9beee9bdd9f079f5
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