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An operational risk analysis tool to analyze marine transportation in Arctic waters

Citations

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Cited by:

  1. 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).
  2. Adland, Roar & Jia, Haiying & Lode, Tønnes & Skontorp, Jørgen, 2021. "The value of meteorological data in marine risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
  3. Hossain, Niamat Ullah Ibne & Jaradat, Raed & Hosseini, Seyedmohsen & Marufuzzaman, Mohammad & Buchanan, Randy K., 2019. "A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 62-83.
  4. Fu, Shanshan & Cui, Mengfei & Wu, Ningji & Zhang, Mingyang & Lang, Xiao & Mao, Wengang, 2026. "Evolution trends and influencing factors analysis for the severity and pollution of maritime accidents in Arctic waters from multi-source data," Reliability Engineering and System Safety, Elsevier, vol. 266(PA).
  5. Yu, Qing & Liu, Kezhong & Chang, Chia-Hsun & Yang, Zaili, 2020. "Realising advanced risk assessment of vessel traffic flows near offshore wind farms," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
  6. Ziegler Haselein, Bruno & da Silva, Jonny Carlos & Hooey, Becky L., 2024. "Multiple machine learning modeling on near mid-air collisions: An approach towards probabilistic reasoning," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
  7. Carine Dominguez-Péry & Lakshmi Narasimha Raju Vuddaraju & Isabelle Corbett-Etchevers & Rana Tassabehji, 2021. "Reducing maritime accidents in ships by tackling human error: a bibliometric review and research agenda," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-32, December.
  8. Koçak, Saim Turgut & Yercan, Funda, 2021. "Comparative cost-effectiveness analysis of Arctic and international shipping routes: A Fuzzy Analytic Hierarchy Process," Transport Policy, Elsevier, vol. 114(C), pages 147-164.
  9. Maroua Ghram & Hela Moalla Frikha, 2022. "Multiple Hierarchically Structured Criteria in ARAS Method Under Fuzzy Environment," International Journal of Fuzzy System Applications (IJFSA), IGI Global Scientific Publishing, vol. 11(1), pages 1-19, January.
  10. Deng, Wanyi & Ma, Xiaoxue & Qiao, Weiliang, 2024. "A novel methodology to quantify the impact of safety barriers on maritime operational risk based on a probabilistic network," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
  11. Zvyagina, Tatiana & Zvyagin, Petr, 2022. "A model of multi-objective route optimization for a vessel in drifting ice," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
  12. Sunay P. Pai & Rajesh S. Prabhu Gaonkar, 2023. "Modelling uncertainty using neutrosophic sets for precise risk assessment of marine systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 946-953, December.
  13. Rajesh S. Prabhu Gaonkar & V. Mariappan, 0. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-11.
  14. Yi, Xu & Chen, Kang & Yang, Zhongzhen, 2026. "Optimization of China's foreign trade container liner shipping network considering the risks and uncertainty of transit time of shipping corridors," Journal of Transport Geography, Elsevier, vol. 130(C).
  15. Zhang, Chi & Zhang, Di & Zhang, Mingyang & Lang, Xiao & Mao, Wengang, 2020. "An integrated risk assessment model for safe Arctic navigation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 101-114.
  16. Yunhao Yao & Xiaoxing Zhou & Merle Parmak, 2023. "Risk assessment for yachting tourism in China using dynamic Bayesian networks," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-17, August.
  17. Zhu, Chunli & Wu, Jianping & Liu, Mingyu & Luan, Jianlin & Li, Tingting & Hu, Kezhen, 2020. "Cyber-physical resilience modelling and assessment of urban roadway system interrupted by rainfall," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  18. Ung, S.T., 2021. "Navigation Risk estimation using a modified Bayesian Network modeling-a case study in Taiwan," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
  19. Zhou, Jian-Lan & Lei, Yi, 2020. "A slim integrated with empirical study and network analysis for human error assessment in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  20. Yu, Qing & Teixeira, Ângelo Palos & Liu, Kezhong & Rong, Hao & Guedes Soares, Carlos, 2021. "An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
  21. Hu, Shenping & Fang, Cuiwen & Wu, Jianjun & Fan, Cunlong & Zhang, Xinxin & Yang, Xue & Han, Bing, 2025. "Enhanced risk assessment framework for complex maritime traffic systems via data driven: A case study of ship navigation in Arctic," Reliability Engineering and System Safety, Elsevier, vol. 260(C).
  22. Li, Jue & Li, Heng & Wang, Fan & Cheng, Andy S.K. & Yang, Xincong & Wang, Hongwei, 2021. "Proactive analysis of construction equipment operators’ hazard perception error based on cognitive modeling and a dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
  23. Benz, Lukas & Münch, Christopher & Hartmann, Evi, 2021. "Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 375-400, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  24. Fu, Shanshan & Yu, Yuerong & Chen, Jihong & Xi, Yongtao & Zhang, Mingyang, 2022. "A framework for quantitative analysis of the causation of grounding accidents in arctic shipping," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
  25. Rajesh S. Prabhu Gaonkar & V. Mariappan, 2020. "Transportation time reliability appraisal in maritime context," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 736-746, June.
  26. Carine Dominguez-Péry & Lakshmi Narasimha Raju Vuddaraju & Isabelle Corbett-Etchevers & Rana Tassabehji, 2021. "Reducing maritime accidents in ships by tackling human error: a bibliometric review and research agenda," Post-Print hal-03982682, HAL.
  27. Hossain, Niamat Ullah Ibne & Nur, Farjana & Hosseini, Seyedmohsen & Jaradat, Raed & Marufuzzaman, Mohammad & Puryear, Stephen M., 2019. "A Bayesian network based approach for modeling and assessing resilience: A case study of a full service deep water port," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 378-396.
  28. Dinis, D. & Teixeira, A.P. & Guedes Soares, C., 2020. "Probabilistic approach for characterising the static risk of ships using Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
  29. Zhuang Li & Shenping Hu & Guoping Gao & Yongtao Xi & Shanshan Fu & Chenyang Yao, 2020. "Risk Reasoning from Factor Correlation of Maritime Traffic under Arctic Sea Ice Status Association with a Bayesian Belief Network," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
  30. Li, Zhongping & Cui, Lirong & Chen, Jianhui, 2018. "Traffic accident modelling via self-exciting point processes," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 312-320.
  31. Tao, Longlong & Chen, Liwei & Ge, Daochuan & Yao, Yuantao & Ruan, Fang & Wu, Jie & Yu, Jie, 2022. "An integrated probabilistic risk assessment methodology for maritime transportation of spent nuclear fuel based on event tree and hydrodynamic model," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
  32. Liu, Yuejun & Lu, Yang & Xue, Yanzhuo & Guedes Soares, C., 2026. "Prediction of navigation risks in the Arctic Northeast Passage based on Bayesian and neural networks," Reliability Engineering and System Safety, Elsevier, vol. 267(PA).
  33. Yu, Yuerong & Liu, Kezhong & Fu, Shanshan & Chen, Jihong, 2024. "Framework for process risk analysis of maritime accidents based on resilience theory: A case study of grounding accidents in Arctic waters," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
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