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Cited by 130Maritime Navigation and SafetyRisk and Safety AnalysisOccupational Health and Safety Research

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Risk assessment of marine accidents with Fuzzy Bayesian Networks and causal analysis

Chen, Peiru, Zhang, Zhipeng, Huang, Yujie, Dai, Lei, Hu, Hao·2022·Ocean & Coastal Management
DOI 10.1016/j.ocecoaman.2022.106323
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Research works printed but not linked: 55

  1. Arici, 2020, Application of fuzzy bow-tie risk analysis to maritime transportation: the case of ship collision during the STS operation, Ocean. Eng., 217, 10.1016/j.oceaneng.2020.107960 · DOI
  2. Chen, 2018, A rear-end collision risk evaluation and control scheme using a Bayesian network model, IEEE Trans. Intell. Transport. Syst., 20, 264, 10.1109/TITS.2018.2813364 · DOI
  3. Chen, 2018, Identifying critical factors of oil spill in the tanker shipping industry worldwide, J. Clean. Prod., 180, 1, 10.1016/j.jclepro.2017.12.238 · DOI
  4. Chen, 2019, Identifying factors influencing total-loss marine accidents in the world: analysis and evaluation based on ship types and sea regions, Ocean. Eng., 191, 10.1016/j.oceaneng.2019.106495 · DOI
  5. Chen, 2020, Factor assessment of marine casualties caused by total loss, Int. J. Disaster Risk Reduc., 47, 10.1016/j.ijdrr.2020.101560 · DOI
  6. Chen, 2020, Marine oil spill pollution causes and governance: a case study of Sanchi tanker collision and explosion, J. Clean. Prod., 273, 10.1016/j.jclepro.2020.122978 · DOI
  7. Chen, 2021, Fleet co-deployment for liner shipping alliance: vessel pool operation with uncertain demand, Ocean Coast Manag., 214, 10.1016/j.ocecoaman.2021.105923 · DOI
  8. Deng, 2021, Risk coupling characteristics of maritime accidents in Chinese inland and coastal waters based on NK model, J. Mar. Sci. Eng., 10, 4, 10.3390/jmse10010004 · DOI
  9. Dinis, 2020, Probabilistic approach for characterising the static risk of ships using Bayesian networks, Reliab. Eng. Syst. Saf., 203, 10.1016/j.ress.2020.107073 · DOI
  10. Erol, 2015, The analysis of ship accident occurred in Turkish search and rescue area by using decision tree, Marit. Pol. Manag., 42, 377, 10.1080/03088839.2013.870357 · DOI
  11. He, 2022, A methodology to assess the causation relationship of seafarers' unsafe acts for ship grounding accidents based on Bayesian SEM, Ocean Coast Manag., 225, 10.1016/j.ocecoaman.2022.106189 · DOI
  12. Hsu, 1996, Aggregation of fuzzy opinions under group decision making, Fuzzy Set Syst., 79, 279, 10.1016/0165-0114(95)00185-9 · DOI
  13. Ji, 2022, Probability analysis of construction risk based on noisy-or gate bayesian networks, Reliab. Eng. Syst. Saf., 217, 10.1016/j.ress.2021.107974 · DOI
  14. Jin, 2005, An analysis of fishing vessel accidents in fishing areas off the northeastern United States, Saf. Sci., 43, 523, 10.1016/j.ssci.2005.02.005 · DOI
  15. Jones, 2010, The use of Bayesian network modelling for maintenance planning in a manufacturing industry, Reliab. Eng. Syst. Saf., 95, 267, 10.1016/j.ress.2009.10.007 · DOI · Paper page
  16. Kalantarnia, 2009, Dynamic risk assessment using failure assessment and Bayesian theory, J. Loss Prev. Process. Ind., 22, 600, 10.1016/j.jlp.2009.04.006 · DOI
  17. Kamal, 2021, Assessment of causal mechanism of ship bunkering oil pollution, Ocean Coast Manag., 215, 10.1016/j.ocecoaman.2021.105939 · DOI
  18. Kaptan, 2021, The effect of nonconformities encountered in the use of technology on the occurrence of collision, contact and grounding accidents, Reliab. Eng. Syst. Saf., 215, 10.1016/j.ress.2021.107886 · DOI
  19. Khan, 2021, Risk assessment for berthing of hazardous cargo vessels using Bayesian networks, Ocean Coast Manag., 210, 10.1016/j.ocecoaman.2021.105673 · DOI · Paper page
  20. Kum, 2015, A root cause analysis for Arctic Marine accidents from 1993 to 2011, Saf. Sci., 74, 206, 10.1016/j.ssci.2014.12.010 · DOI
  21. Liu, 2021, A systematic analysis for maritime accidents causation in Chinese coastal waters using machine learning approaches, Ocean Coast Manag., 213, 10.1016/j.ocecoaman.2021.105859 · DOI
  22. Luo, 2019, Half-century research developments in maritime accidents: future directions, Accid. Anal. Prev., 123, 448, 10.1016/j.aap.2016.04.010 · DOI
  23. Marvasti, 2017, Determinants of the risk of accidents in the Gulf of Mexico commercial fisheries, Ocean Coast Manag., 148, 282, 10.1016/j.ocecoaman.2017.08.018 · DOI
  24. Mazaheri, 2015, Usability of accident and incident reports for evidence-based risk modeling–A case study on ship grounding reports, Saf. Sci., 76, 202, 10.1016/j.ssci.2015.02.019 · DOI
  25. Ölçer, 2005, A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem, Eur. J. Oper. Res., 166, 93, 10.1016/j.ejor.2004.02.010 · DOI
  26. Onisawa, 1988, An approach to human reliability in man-machine systems using error possibility, Fuzzy Set Syst., 27, 87, 10.1016/0165-0114(88)90140-6 · DOI
  27. Oniśko, 2001, Learning Bayesian network parameters from small data sets: application of Noisy-OR gates, Int. J. Approx. Reason., 27, 165, 10.1016/S0888-613X(01)00039-1 · DOI
  28. Rathnayaka, 2011, SHIPP methodology: predictive accident modeling approach. Part I: methodology and model description, Process Saf. Environ. Protect., 89, 151, 10.1016/j.psep.2011.01.002 · DOI
  29. Ren, 2008, A methodology to model causal relationships on offshore safety assessment focusing on human and organizational factors, J. Saf. Res., 39, 87, 10.1016/j.jsr.2007.09.009 · DOI · Paper page
  30. Ren, 2009, An offshore risk analysis method using fuzzy Bayesian network, J. Offshore Mech. Arctic Eng., 131, 10.1115/1.3124123 · DOI
  31. Sakar, 2021, Risk analysis of grounding accidents by mapping a fault tree into a Bayesian network, Appl. Ocean Res., 113, 10.1016/j.apor.2021.102764 · DOI
  32. Senol, 2021, A risk analysis study for chemical cargo tank cleaning process using Fuzzy Bayesian Network, Ocean. Eng., 235, 10.1016/j.oceaneng.2021.109360 · DOI
  33. Shu, 2022, Estimating spatiotemporal distribution of wastewater generated by ships in coastal areas, Ocean Coast Manag., 222, 10.1016/j.ocecoaman.2022.106133 · DOI
  34. Sotiralis, 2019, The role of ship inspections in maritime accidents: an analysis of risk using the bow-tie approach, Proc. Inst. Mech. Eng. O J. Risk Reliab., 233, 58
  35. Sousa, 2012, Risk analysis during tunnel construction using Bayesian Networks: porto Metro case study, Tunn. Undergr. Space Technol., 27, 86, 10.1016/j.tust.2011.07.003 · DOI
  36. Uğurlu, 2015, Marine accident analysis for collision and grounding in oil tanker using FTA method, Marit. Pol. Manag., 42, 163, 10.1080/03088839.2013.856524 · DOI
  37. Uğurlu, 2018, Modified human factor analysis and classification system for passenger vessel accidents (HFACS-PV), Ocean. Eng., 161, 47, 10.1016/j.oceaneng.2018.04.086 · DOI
  38. Uğurlu, 2020, Analyzing collision, grounding, and sinking accidents occurring in the Black Sea utilizing HFACS and Bayesian networks, Risk Anal., 40, 2610, 10.1111/risa.13568 · DOI
  39. Ulusçu, 2009, Risk analysis of the vessel traffic in the strait of Istanbul, Risk Anal.: Int. J., 29, 1454, 10.1111/j.1539-6924.2009.01287.x · DOI
  40. Ung, 2018, Human error assessment of oil tanker grounding, Saf. Sci., 104, 16, 10.1016/j.ssci.2017.12.035 · DOI
  41. UNITED NATIONS CONFERENCE ON TRADE AND DEVELOPMENT (UNCTAD), 2020. Handbook of Statistics 2020. https://unctad.org/system/files/official-document/tdstat45_en.pdf. (accessed: 20 November 2021).
  42. Wang, 2021, Critical risk factors in ship fire accidents, Marit. Pol. Manag., 48, 895, 10.1080/03088839.2020.1821110 · DOI
  43. Wang, 2022, Study on the critical factors and hot spots of crude oil tanker accidents, Ocean Coast Manag., 217, 10.1016/j.ocecoaman.2021.106010 · DOI
  44. Weber, 2012, Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas, Eng. Appl. Artif. Intell., 25, 671, 10.1016/j.engappai.2010.06.002 · DOI
  45. Yang, 2018, Realising advanced risk-based port state control inspection using data-driven Bayesian networks, Transport. Res. Pol. Pract., 110, 38, 10.1016/j.tra.2018.01.033 · DOI
  46. Yazdi, 2018, Uncertainty handling in the safety risk analysis: an integrated approach based on fuzzy fault tree analysis, J. Fail. Anal. Prev., 18, 392, 10.1007/s11668-018-0421-9 · DOI
  47. Yin, 2018, Seasonality patterns in the container shipping freight rate market, Marit. Pol. Manag., 45, 159, 10.1080/03088839.2017.1420260 · DOI
  48. Yu, 2021, Evaluation model and management strategy for reducing pollution caused by ship collision in coastal waters, Ocean Coast Manag., 203, 10.1016/j.ocecoaman.2020.105446 · DOI
  49. Zadeh, 1978, Fuzzy sets as a basis for a theory of possibility, Fuzzy Set Syst., 1, 3, 10.1016/0165-0114(78)90029-5 · DOI
  50. Zarei, 2019, Safety analysis of process systems using Fuzzy Bayesian Network (FBN), J. Loss Prev. Process. Ind., 57, 7, 10.1016/j.jlp.2018.10.011 · DOI
  51. Zhang, 2021, Bayesian network modeling of accident investigation reports for aviation safety assessment, Reliab. Eng. Syst. Saf., 209, 10.1016/j.ress.2020.107371 · DOI
  52. Zhang, 2016, Expert elicitation and Bayesian Network modeling for shipping accidents: a literature review, Saf. Sci., 87, 53, 10.1016/j.ssci.2016.03.019 · DOI
  53. Zhang, 2021, Governance of global vessel-source marine oil spills: characteristics and refreshed strategies, Ocean Coast Manag., 213, 10.1016/j.ocecoaman.2021.105874 · DOI
  54. Zhang, 2021, Spatial patterns and characteristics of global maritime accidents, Reliab. Eng. Syst. Saf., 206, 10.1016/j.ress.2020.107310 · DOI
  55. Zhang, 2021, Passenger rail station safety improvement and analysis of end-of-track collisions based on systems-theoretic accident modeling and processes (STAMP), Smart and Resilient Transport, 3, 94, 10.1108/SRT-12-2020-0028 · DOI

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Metadata

Authors
Chen, P., Zhang, Z., Huang, Y., Dai, L., & Hu, H.
Affiliations
Shanghai Jiao Tong University (CN)
Corresponding author
Zhang, Zhipeng
ORCID
Venue
Ocean & Coastal Management
Publisher
Elsevier BV
Published
2022-09
Volume
228
Pages
106323
ISSN
0964-5691 (ISSN-L)
DOI
10.1016/j.ocecoaman.2022.106323
OpenAlex
W4292394991
Cited by
130
References
0
Citations by year
2026: 30 · 2025: 36 · 2024: 39 · 2023: 21 · 2022: 4
FWCI
10.41
Type
journal article
Language
en
Open access
closed
Licence
Locations
Ocean & Coastal Management (publishedVersion)
Topics
  • Physical Sciences › Engineering › Ocean Engineering › Maritime Navigation and Safety
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Risk and Safety Analysis
  • Social Sciences › Safety Research › Occupational Health and Safety Research
Keywords
maritime accidents, fuzzy Bayesian network, causal analysis, accident contributing factors, maritime safety, severe weather, distraction, maintenance failure, grounding, accident reports, sensitivity analysis, safety management strategies

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