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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., \u201cdriver noncompliance\u201d), environment (e.g., \u201cextrinsic nature disturbance\u201d), passenger (e.g., \u201cpassenger sudden illness\u201d), and machine (e.g., \u201ctrack failures\u201d) 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.<\/jats:p>","DOI":"10.1155\/2021\/2397203","type":"journal-article","created":{"date-parts":[[2021,11,18]],"date-time":"2021-11-18T00:35:52Z","timestamp":1637195752000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Causation of Metro Operation Accidents in China: Calculation of Network Node Importance Based on DEMATEL and ISM"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7254-1189","authenticated-orcid":false,"given":"Xin","family":"Wan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2208-907X","authenticated-orcid":false,"given":"Yantong","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6818-3259","authenticated-orcid":false,"given":"Rubing","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0922-6853","authenticated-orcid":false,"given":"Jingfeng","family":"Yuan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3296-3819","authenticated-orcid":false,"given":"Mengliu","family":"Hu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3585-6610","authenticated-orcid":false,"given":"Ruyu","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3828-278X","authenticated-orcid":false,"given":"Minye","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5595-5304","authenticated-orcid":false,"given":"Ziyao","family":"Huang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5215-3995","authenticated-orcid":false,"given":"Cheng","family":"Tu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7816-2171","authenticated-orcid":false,"given":"Fujian","family":"Zhong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4071-8466","authenticated-orcid":false,"given":"Wenjing","family":"Cui","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,11,17]]},"reference":[{"volume-title":"World Metro Figures 2018","year":"2018","author":"Union Internationale des Transports Publics (UITP)","key":"e_1_2_10_1_2"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1093\/jurban\/jti004"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1360\/972013-1280"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2016.10.010"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2018.02.109"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2016.08.002"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113642"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2016.04.001"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2016.10.001"},{"key":"e_1_2_10_10_2","first-page":"47","article-title":"A review of accident modelling approaches for complex critical sociotechnical systems","volume":"86","author":"Qureshi Z. 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