Data-driven Bayesian network for risk analysis of global maritime accidents

Citations

Cited by:

1. Iaiani, Matteo & Fazari, Giuseppe & Tugnoli, Alessandro & Cozzani, Valerio, 2025. "Identification of reference security scenarios from past event datasets by Bayesian Network analysis," Reliability Engineering and System Safety, Elsevier, vol. 254(PB).
2. Fu, Shanshan & Tang, Qinya & Zhang, Mingyang & Han, Bing & Wu, Zhongdai & Mao, Wengang, 2025. "A data-driven framework for risk and resilience analysis in maritime transportation systems: A case study of domino effect accidents in arctic waters," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
3. Chen, Pengxv & Zhang, Anmin & Zhang, Shenwen & Dong, Taoning & Zeng, Xi & Chen, Shuai & Shi, Peiru & Wong, Yiik Diew & Zhou, Qingji, 2025. "Maritime Near-Miss prediction framework and model interpretation analysis method based on Transformer neural network model with multi-task classification variables," Reliability Engineering and System Safety, Elsevier, vol. 257(PB).
4. Li, Duowei & Wong, Yiik Diew & Chen, Tianyi & Wang, Nanxi & Yuen, Kum Fai, 2024. "An ensemble method for investigating maritime casualties resulting in pollution occurrence: Data augmentation and feature analysis," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
5. Hunte, Joshua L. & Neil, Martin & Fenton, Norman E., 2024. "A hybrid Bayesian network for medical device risk assessment and management," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
6. Li, Xin & Chen, Chao & Hong, Yi-du & Yang, Fu-qiang, 2023. "Exploring hazardous chemical explosion accidents with association rules and Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
7. Bauranov, Aleksandar & Rakas, Jasenka, 2024. "Bayesian network model of aviation safety: Impact of new communication technologies on mid-air collisions," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
8. Sun, Xuting & Hu, Yue & Qin, Yichen & Zhang, Yuan, 2024. "Risk assessment of unmanned aerial vehicle accidents based on data-driven Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
9. Wang, Shuang & Jia, Haiying & Lu, Jing & Yang, Dong, 2023. "Crude oil transportation route choices: A connectivity reliability-based approach," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
10. Cao, Yuhao & Iulia, Manole & Majumdar, Arnab & Feng, Yinwei & Xin, Xuri & Wang, Xinjian & Wang, Huanxin & Yang, Zaili, 2025. "Investigation of the risk influential factors of maritime accidents: A novel topology and robustness analytical framework," Reliability Engineering and System Safety, Elsevier, vol. 254(PB).
11. Zhang, Hengqi & Geng, Hua & Zeng, Huarong & Jiang, Li, 2023. "Dynamic risk evaluation and control of electrical personal accidents," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
12. Wang, Hong & Chen, Ning & Wu, Bing & Guedes Soares, C., 2024. "Human and organizational factors analysis of collision accidents between merchant ships and fishing vessels based on HFACS-BN model," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
13. Li, Huanhuan & Jiao, Hang & Yang, Zaili, 2023. "AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
14. Sezer, Sukru Ilke & Akyuz, Emre, 2024. "A conceptual risk modelling for cargo tank fire/explosion in chemical tanker by using Evidential Reasoning -SLIM and Bayesian belief network approach," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
15. Li, Huanhuan & Çelik, Cihad & Bashir, Musa & Zou, Lu & Yang, Zaili, 2024. "Incorporation of a global perspective into data-driven analysis of maritime collision accident risk," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
16. Karimi Dehkordi, Mohammadreza & Sattari, Fereshteh & Lefsrud, Lianne, 2025. "Creating an incident investigation framework for a complex socio-technical system: Application of multi-label text classification and Bayesian network structure learning," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
17. Feng, Yinwei & Wang, Xinjian & Chen, Qilei & Yang, Zaili & Wang, Jin & Li, Huanhuan & Xia, Guoqing & Liu, Zhengjiang, 2024. "Prediction of the severity of marine accidents using improved machine learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
18. Domeh, Vindex & Obeng, Francis & Khan, Faisal & Bose, Neil & Sanli, Elizabeth, 2023. "An operational risk awareness tool for small fishing vessels operating in harsh environment," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
19. Gan, Langxiong & Gao, Ziyi & Zhang, Xiyu & Xu, Yi & Liu, Ryan Wen & Xie, Cheng & Shu, Yaqing, 2025. "Graph neural networks enabled accident causation prediction for maritime vessel traffic," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
20. Barr, John & Rabitz, Herschel, 2023. "Kernel-based global sensitivity analysis obtained from a single data set," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
21. Shi, Wen & Zhou, Qing & Zhou, Yanju, 2023. "An efficient elementary effect-based method for sensitivity analysis in identifying main and two-factor interaction effects," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
22. Wang, Yuhong & Li, Pengchang & Hong, Cheng & Yang, Zaili, 2025. "Causation analysis of ship collisions using a TM-FRAM model," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
23. Meng, Huixing & Zhao, Shijun & Song, Wenjuan & Hu, Mengqian, 2025. "Virtual-reality-generated-data-driven Bayesian networks for risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
24. Meng, Huixing & Hu, Mengqian & Kong, Ziyan & Niu, Yiming & Liang, Jiali & Nie, Zhenyu & Xing, Jinduo, 2024. "Risk analysis of lithium-ion battery accidents based on physics-informed data-driven Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
25. Liu, Guanyi & Liu, Shifeng & Li, Xuewei & Li, Xueyan & Gong, Daqing, 2025. "Multiscenario deduction analysis for railway emergencies using knowledge metatheory and dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
26. Li, Huanhuan & Xing, Wenbin & Jiao, Hang & Yang, Zaili & Li, Yan, 2024. "Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
27. Wang, Ruihan & Zhang, Mingyang & Gong, Fuzhong & Wang, Shaohan & Yan, Ran, 2025. "Improving port state control through a transfer learning-enhanced XGBoost model," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
28. Lilli, Giordano & Sanavia, Matteo & Oboe, Roberto & Vianello, Chiara & Manzolaro, Mattia & De Ruvo, Pasquale Luca & Andrighetto, Alberto, 2024. "A semi-quantitative risk assessment of remote handling operations on the SPES Front-End based on HAZOP-LOPA," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
29. Bairami-Khankandi, Shahrokh & Bolbot, Victor & BahooToroody, Ahmad & Goerlandt, Floris, 2025. "A systems-theoretic approach using association rule mining and predictive Bayesian trend analysis to identify patterns in maritime accident causes," Reliability Engineering and System Safety, Elsevier, vol. 258(C).
30. Qiao, Weiliang & Huang, Enze & Zhang, Meng & Ma, Xiaoxue & Liu, Dong, 2025. "Risk influencing factors on the consequence of waterborne transportation accidents in China (2013–2023) based on data-driven machine learning," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
31. Fan, Hanwen & Jia, Haiying & He, Xuzhuo & Lyu, Jing, 2024. "Navigating uncertainty: A dynamic Bayesian network-based risk assessment framework for maritime trade routes," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
32. Zhou, Kaiwen & Xing, Wenbin & Wang, Jingbo & Li, Huanhuan & Yang, Zaili, 2024. "A data-driven risk model for maritime casualty analysis: A global perspective," Reliability Engineering and System Safety, Elsevier, vol. 244(C).