{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:02:53Z","timestamp":1775836973868,"version":"3.50.1"},"reference-count":75,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering &amp; System Safety"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.ress.2026.112492","type":"journal-article","created":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T16:18:21Z","timestamp":1772036301000},"page":"112492","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P1","title":["An accident causation analysis framework by integrating graph attention networks with Decision-Making Trial and Evaluation Laboratory based on AcciMap: A case of chemical accidents in China"],"prefix":"10.1016","volume":"272","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-9622-0158","authenticated-orcid":false,"given":"Runhan","family":"Zhao","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7404-8866","authenticated-orcid":false,"given":"Liang","family":"Ma","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ress.2026.112492_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2020.104741","article-title":"Chemical industry in China: the current status, safety problems, and pathways for future sustainable development","volume":"128","author":"Chen","year":"2020","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0002","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.psep.2023.06.040","article-title":"Why do major chemical accidents still happen in China: analysis from a process safety management perspective","volume":"176","author":"Bai","year":"2023","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112492_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.jlp.2021.104672","article-title":"Multi-hazard risk assessment in process industries: state-of-the-art","volume":"76","author":"He","year":"2022","journal-title":"J Loss Prev Process Ind"},{"key":"10.1016\/j.ress.2026.112492_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109912","article-title":"An evacuation path planning method for multi-hazard accidents in chemical industries based on risk perception","volume":"244","author":"He","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0005","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.psep.2015.07.005","article-title":"Methods and models in process safety and risk management: past, present and future","volume":"98","author":"Khan","year":"2015","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112492_bib0006","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1016\/j.ress.2017.09.007","article-title":"Cost-effective fire protection of chemical plants against domino effects","volume":"169","author":"Khakzad","year":"2018","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2024.105343","article-title":"Mining construction accident reports via unsupervised NLP and Accimap for systemic risk analysis","volume":"161","author":"Ma","year":"2024","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.112492_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.jlp.2024.105279","article-title":"Exploring human factors of major chemical accidents in China: evidence from 160 accidents during 2011\u20132022","volume":"89","author":"Wang","year":"2024","journal-title":"J Loss Prev Process Ind"},{"key":"10.1016\/j.ress.2026.112492_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.psep.2025.108033","article-title":"Insights into ensemble learning based data-driven model for prediction of chemical safety production accidents","volume":"204","author":"Gao","year":"2025","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112492_bib0010","article-title":"A novel accident causation analysis model of hazardous chemical production accidents based on 2-4Model and Bayesian Network","author":"Hong","year":"2025","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112492_bib0011","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1016\/j.apergo.2016.07.014","article-title":"A systemic analysis of South Korea Sewol ferry accident \u2013 Striking a balance between learning and accountability","volume":"59","author":"Kee","year":"2017","journal-title":"Appl Erg"},{"key":"10.1016\/j.ress.2026.112492_bib0012","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/S0925-7535(97)00052-0","article-title":"Risk management in a dynamic society: a modelling problem","volume":"27","author":"Rasmussen","year":"1997","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0013","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.ssci.2019.04.016","article-title":"What do applications of systems thinking accident analysis methods tell us about accident causation? A systematic review of applications between 1990 and 2018","volume":"117","author":"Hulme","year":"2019","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0014","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/S0925-7535(00)00036-9","article-title":"Graphic representation of accidentscenarios: mapping system structure and the causation of accidents","volume":"40","author":"Svedung","year":"2002","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111310","article-title":"Unleashing data power: driving maritime risk analysis with bayesian networks","volume":"264","author":"Wang","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0016","article-title":"Applying AcciMap to test the common cause hypothesis using aviation near misses","volume":"87","author":"Thoroman","year":"2020","journal-title":"Appl Erg"},{"key":"10.1016\/j.ress.2026.112492_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111686","article-title":"Development of accident analysis for civil engineering structures an AcciMap diagram for collapsed steel dome structure","volume":"266","author":"Coskun","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2023.106066","article-title":"Application of systems thinking accident analysis methods: a review for railways","volume":"160","author":"Ahmadi Rad","year":"2023","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2022.105975","article-title":"Using actor maps and AcciMaps for road safety investigations: development of taxonomies and meta-analyses","volume":"158","author":"Stanton","year":"2023","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2022.106003","article-title":"Toward the translation of systems thinking methods in patient safety practice: assessing the validity of Net-HARMS and AcciMap","volume":"159","author":"Salmon","year":"2023","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0021","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.psep.2024.12.033","article-title":"Research on risk evolution, prevention, and control of fire and explosion accidents in hydrogen refueling stations based on the AcciMap-FTA model","volume":"194","author":"Kang","year":"2025","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112492_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113465","article-title":"An innovative edge-driven social IoT service recommender framework utilizing multi-agent deep reinforcement learning","volume":"317","author":"Farhadi","year":"2025","journal-title":"Knowl Based Syst"},{"key":"10.1016\/j.ress.2026.112492_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128608","article-title":"SAC-GNN: multi-layer dual graph neural network for service recommendation","volume":"293","author":"Lu","year":"2025","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.112492_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.130110","article-title":"Fraud detection based on GNNs with local augmentation and adaptive relation aggregation","volume":"299","author":"Mengzhe","year":"2026","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.112492_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113871","article-title":"Hierarchical DEMATEL method for complex systems","volume":"167","author":"Du","year":"2021","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.112492_bib0026","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/0016-3287(74)90086-X","article-title":"DEMATEL: progress achieved","volume":"6","author":"Fontela","year":"1974","journal-title":"Futures"},{"key":"10.1016\/j.ress.2026.112492_bib0027","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.engappai.2019.05.001","article-title":"New improved DEMATEL method based on both subjective experience and objective data","volume":"83","author":"Du","year":"2019","journal-title":"Eng Appl Artif Intell"},{"key":"10.1016\/j.ress.2026.112492_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.106566","article-title":"An application of DEMATEL and fuzzy DEMATEL to evaluate the interaction of safety management system and cybersecurity management system in automated vehicles","volume":"124","author":"Khatun","year":"2023","journal-title":"Eng Appl Artif Intell"},{"key":"10.1016\/j.ress.2026.112492_bib0029","series-title":"A human error approach to aviation accident analysis","author":"Wiegmann","year":"2003"},{"key":"10.1016\/j.ress.2026.112492_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110201","article-title":"Guedes Soares C. Human and organizational factors analysis of collision accidents between merchant ships and fishing vessels based on HFACS-BN model","volume":"249","author":"Wang","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0031","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.psep.2019.08.012","article-title":"A Novel Fuzzy Bayesian Network-HFACS (FBN-HFACS) model for analyzing Human and organization factors (HOFs) in process accidents","volume":"132","author":"Rostamabadi","year":"2019","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112492_bib0032","series-title":"Barriers and accident prevention","author":"Hollnagel","year":"2004"},{"key":"10.1016\/j.ress.2026.112492_bib0033","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2024.106676","article-title":"Toward modeling emergency unmooring of manned and autonomous ships \u2013 A combined FRAM+HFACS-MA approach","volume":"181","author":"Nasur","year":"2025","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2025.106960","article-title":"Large language models powered system safety assessment: applying STPA and FRAM","volume":"191","author":"Kaya","year":"2025","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0035","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.ress.2019.02.012","article-title":"A proactive operational risk identification and analysis framework based on the integration of ACAT and FRAM","volume":"186","author":"Li","year":"2019","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2020.104827","article-title":"Framing the FRAM: a literature review on the functional resonance analysis method","volume":"129","author":"Patriarca","year":"2020","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.107745","article-title":"Quantitative representation of the functional resonance analysis method for risk assessment","volume":"214","author":"Kim","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0038","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/S0925-7535(03)00047-X","article-title":"A new accident model for engineering safer systems","volume":"42","author":"Leveson","year":"2004","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0039","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.jlp.2014.07.010","article-title":"STAMP \u2013 Holistic system safety approach or just another risk model?","volume":"32","author":"Altabbakh","year":"2014","journal-title":"J Loss Prev Process Ind"},{"key":"10.1016\/j.ress.2026.112492_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2025.107000","article-title":"A STAMP-informed framework for classifying interorganizational risk management challenges in ports","volume":"192","author":"Mel\u00e9ndez","year":"2025","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2024.106744","article-title":"Hierarchical safety analysis and formal verification for safety-critical systems using STAMP and event-B","volume":"184","author":"Chen","year":"2025","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0042","doi-asserted-by":"crossref","first-page":"1806","DOI":"10.1016\/j.ssci.2012.04.013","article-title":"Introducing the STAMP method in road tunnel safety assessment","volume":"50","author":"Kazaras","year":"2012","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0043","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2019.104589","article-title":"A sociotechnical approach to accident analysis in a low-income setting: using Accimaps to guide road safety recommendations in Bangladesh","volume":"124","author":"Hamim","year":"2020","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0044","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/j.apergo.2016.07.013","article-title":"Applying the AcciMap methodology to investigate the tragic Sewol Ferry accident in South Korea","volume":"59","author":"Lee","year":"2017","journal-title":"Appl Erg"},{"key":"10.1016\/j.ress.2026.112492_bib0045","article-title":"Accident causal framework-enhanced scientific text mining: case study of gas pipeline accidents causal analysis in China","author":"Niu","year":"2025","journal-title":"J Ind Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0046","unstructured":"US Chemical Safety and Hazard Investigation Board. Catastrophic rupture of heat exchanger: tesoro Anacortes Refinery. 2014."},{"key":"10.1016\/j.ress.2026.112492_bib0047","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.psep.2019.08.028","article-title":"Case study of the Tianjin accident: application of barrier and systems analysis to understand challenges to industry loss prevention in emerging economies","volume":"131","author":"Chen","year":"2019","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112492_bib0048","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111425","article-title":"AcciMap causal analysis of Chinese chemical industry accidents unraveled by graph neural networks","volume":"264","author":"Ma","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0049","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.110981","article-title":"A comparative assessment of domino accident analysis methods in process industries using LMAW and DNMA techniques","volume":"260","author":"Moslem","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0050","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1186\/s40537-023-00876-4","article-title":"A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions","volume":"11","author":"Khemani","year":"2024","journal-title":"J Big Data"},{"key":"10.1016\/j.ress.2026.112492_bib0051","doi-asserted-by":"crossref","first-page":"15051","DOI":"10.1109\/TNNLS.2023.3283523","article-title":"Challenges and opportunities in deep reinforcement learning with graph Neural networks: a comprehensive review of algorithms and applications","volume":"35","author":"Munikoti","year":"2024","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10.1016\/j.ress.2026.112492_bib0052","doi-asserted-by":"crossref","DOI":"10.1016\/j.cosrev.2024.100722","article-title":"An inclusive analysis for performance and efficiency of graph neural network models for node classification","volume":"56","author":"Ratna","year":"2025","journal-title":"Comput Sci Rev"},{"key":"10.1016\/j.ress.2026.112492_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.129962","article-title":"L2M-GCN: a new framework for learning robust GCN against structural attacks","volume":"636","author":"Chen","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ress.2026.112492_bib0054","doi-asserted-by":"crossref","DOI":"10.1155\/2023\/8342104","article-title":"Deep learning with graph convolutional networks: an overview and latest applications in computational intelligence","author":"Bhatti","year":"2023","journal-title":"Int J Intell Syst"},{"key":"10.1016\/j.ress.2026.112492_bib0055","unstructured":"Veli\u010dkovi\u0107 P., Cucurull G., Casanova A., Romero A., Li\u00f2 P., Bengio Y. Graph Attention Networks 2018."},{"key":"10.1016\/j.ress.2026.112492_bib0056","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s41095-022-0271-y","article-title":"Attention mechanisms in computer vision: a survey","volume":"8","author":"Guo","year":"2022","journal-title":"Comput Vis Media"},{"key":"10.1016\/j.ress.2026.112492_bib0057","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1016\/j.psep.2022.12.047","article-title":"A risk factor tracing method for LNG receiving terminals based on GAT and a bidirectional LSTM network","volume":"170","author":"Xu","year":"2023","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112492_bib0058","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109232","article-title":"Causal graph attention network with disentangled representations for complex systems fault detection","volume":"235","author":"Liu","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0059","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2023.105102","article-title":"Construction safety predictions with multi-head attention graph and sparse accident networks","volume":"156","author":"Mostofi","year":"2023","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.112492_bib0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2023.116159","article-title":"A ship trajectory prediction method based on GAT and LSTM","volume":"289","author":"Zhao","year":"2023","journal-title":"Ocean Eng"},{"key":"10.1016\/j.ress.2026.112492_bib0061","doi-asserted-by":"crossref","DOI":"10.1016\/j.softx.2024.101889","article-title":"PyDEMATEL: a Python-based tool implementing DEMATEL and fuzzy DEMATEL methods for improved decision making","volume":"28","author":"Chekry","year":"2024","journal-title":"SoftwareX"},{"key":"10.1016\/j.ress.2026.112492_bib0062","doi-asserted-by":"crossref","first-page":"6262","DOI":"10.1016\/j.eswa.2010.11.092","article-title":"Using DEMATEL method to explore the core competences and causal effect of the IC design service company: an empirical case study","volume":"38","author":"Lin","year":"2011","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.112492_bib0063","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.ssci.2019.09.006","article-title":"A novel extension of DEMATEL approach for probabilistic safety analysis in process systems","volume":"121","author":"Yazdi","year":"2020","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0064","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1016\/j.ijhydene.2024.02.141","article-title":"Risk analysis and management of hydrogen station fire and explosion accidents using DEMATEL-ISM and complex network models","volume":"136","author":"Kang","year":"2025","journal-title":"Int J Hydrog Energy"},{"key":"10.1016\/j.ress.2026.112492_bib0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2022.112699","article-title":"A data-driven method for modeling human factors in maritime accidents by integrating DEMATEL and FCM based on HFACS: a case of ship collisions","volume":"266","author":"Ma","year":"2022","journal-title":"Ocean Eng"},{"key":"10.1016\/j.ress.2026.112492_bib0066","doi-asserted-by":"crossref","first-page":"3810","DOI":"10.3390\/w15213810","article-title":"Causal analysis of fall accidents in hydraulic engineering based on text mining and decision-making trial and evaluation laboratory and interpretative structural modeling","volume":"15","author":"Zheng","year":"2023","journal-title":"Water"},{"key":"10.1016\/j.ress.2026.112492_bib0067","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2020.104859","article-title":"An integrated approach to near miss analysis combining AcciMap and Network Analysis","volume":"130","author":"Brian Thoroman","year":"2020","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112492_bib0068","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109308","article-title":"Accident investigation and lessons not learned: acciMap analysis of successive tailings dam collapses in Brazil","volume":"236","author":"Rose","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0069","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.110998","article-title":"A novel sparrow search algorithm based co-correlation graph construction strategy for wind turbine group anomaly identification via graph attention networks","volume":"260","author":"Wang","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0070","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1016\/j.psep.2023.01.060","article-title":"A BN-based risk assessment model of natural gas pipelines integrating knowledge graph and DEMATEL","volume":"171","author":"Bai","year":"2023","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112492_bib0071","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.ress.2016.12.013","article-title":"On the boolean extension of the Birnbaum importance to non-coherent systems","volume":"160","author":"Aliee","year":"2017","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0072","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109383","article-title":"Importance measure-based resilience management: review, methodology and perspectives on maintenance","volume":"237","author":"Dui","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0073","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/S0951-8320(99)00043-5","article-title":"Relationships of Fussell\u2013Vesely and Birnbaum importance to structural importance in coherent systems","volume":"67","author":"Meng","year":"2000","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112492_bib0074","series-title":"Importance measures in reliability engineering: an introductory overview. the palgrave handbook of operations research","first-page":"659","author":"Wu","year":"2022"},{"key":"10.1016\/j.ress.2026.112492_bib0075","doi-asserted-by":"crossref","DOI":"10.1201\/9781003407072","article-title":"Resilience assessment of urban mobility flow networks from different scales: a case study in Shenzhen","author":"Li","year":"2026","journal-title":"Reliab Eng Syst Saf"}],"container-title":["Reliability Engineering &amp; System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095183202600308X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095183202600308X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T15:32:34Z","timestamp":1775835154000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095183202600308X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":75,"alternative-id":["S095183202600308X"],"URL":"https:\/\/doi.org\/10.1016\/j.ress.2026.112492","relation":{},"ISSN":["0951-8320"],"issn-type":[{"value":"0951-8320","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An accident causation analysis framework by integrating graph attention networks with Decision-Making Trial and Evaluation Laboratory based on AcciMap: A case of chemical accidents in China","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ress.2026.112492","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112492"}}