References
- Antão, P.; Guedes Soares, C. 2006. Fault-tree models of accident scenarios of RoPax vessels, International Journal of Automation and Computing 3(2): 107–116. http://doi.org/10.1007/s11633-006-0107-8
- Decision Systems Laboratory. 2006. Genie 2.0. Pittsburgh, PA, US. Available from Internet: http://genie.sis.pitt.edu
- Eleye-Datubo, A. G.; Wall, A.; Saajedi, A.; Wang, J. 2006. Enabling a powerful marine and offshore decision-support solution through Bayesian network technique, Risk Analysis 26(3): 695–721. http://doi.org/10.1111/j.1539-6924.2006.00775.x
- Guarin, L.; Konovessis, D.; Vassalos, D. 2009. Safety level of damaged RoPax ships: risk modelling and cost-effectiveness analysis, Ocean Engineering 36(12–13): 941–951. http://doi.org/10.1016/j.oceaneng.2009.06.005
- Hänninen, M.; Kujala, P. 2012. Influences of variables on ship collision probability in a Bayesian belief network model, Reliability Engineering & System Safety 102: 27–40. http://doi.org/10.1016/j.ress.2012.02.008
- IMO. 2008. Formal Safety Assessment. FSA – RoPax Ships. Submitted by Denmark. MSC 85/17/2. International Maritime Organization (IMO). 22 p. Available from Internet: http://www.martrans.org:8093/documents/2011/fsa/MSC_85-17-2.pdf
- IMO. 2000. Formal Safety Assessment. Decision Parameters Including Risk Acceptance Criteria. Submitted by Norway. MSC72/16. International Maritime Organization (IMO). 28 p. Available from Internet: http://research.dnv.com/skj/FsaLsaBc/MSC72-16.pdf
- Kjærulff, U. B.; Madsen, A. L. 2012. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. 2nd edition. Springer. 382 p.
- Konovessis, D.; Vassalos, D. 2008. Risk evaluation for RoPax vessels, Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 222(1): 13–26. http://doi.org/10.1243/14750902JEME90
- Konovessis, D.; Vassalos, D. 2007. Risk-based design for damage survivability of passenger Ro-Ro vessels, International Shipbuilding Progress 54(2–3):129–144.
- Konovessis, D.; Vassalos, D.; Mermiris, G. 2008. Risk analysis for RoPax vessels, WMU Journal of Maritime Affairs 7(1): 109–131. http://doi.org/10.1007/BF03195127
- Martins, M. R.; Maturana, M. C. 2013. Application of Bayesian belief networks to the human reliability analysis of an oil tanker operation focusing on collision accidents, Reliability Engineering & System Safety 110: 89–109. http://doi.org/10.1016/j.ress.2012.09.008
- Montewka, J. 2012. Risk modelling and management in largescale, distributed transportation systems, Journal of Polish Safety and Reliability Association 3(1): 113–121.
- Montewka, J.; Goerlandt, F.; Ehlers, S.; Kujala, P.; Erceg, S.; Polic, D.; Klanac, A.; Hinz, T.; Tabri, K. 2011. A model for consequence evaluation of ship-ship collision based on Bayesian belief network, in E. Rizzuto, C. Guedes Soares (Eds.). Sustainable Maritime Transportation and Exploitation of Sea Resources, 721–728. http://dx.doi.org/10.1201/b11810-109
- Norrington, L.; Quigley, J.; Russell, A.; Van der Meer, R. 2008. Modelling the reliability of search and rescue operations with Bayesian belief networks, Reliability Engineering & System Safety 93(7): 940–949. http://doi.org/10.1016/j.ress.2007.03.006
- Otto, S.; Pedersen, P. T.; Samuelides, M.; Sames, P. C. 2002. Elements of risk analysis for collision and grounding of a RoRo passenger ferry, Marine Structures 15(45): 461–474. http://doi.org/10.1016/S0951-8339(02)00014-X
- SAFEDOR. 2005. Design, Operation and Regulation for Safety. Integrated Project under the 6th framework programme of the European Commission (IP 516278).
- Santos, T. A.; Soares, C. G. 2002. Probabilistic survivability assessment of damaged passenger Ro-Ro ships using Monte-Carlo simulation, International Shipbuilding Progress 49(4): 275–300.
- Skjong, R.; Vanem, E.; Endresen, Ø. 2005. Risk Evaluation Criteria. SAFEDOR-D-4.5.2-2005-10-21-DNV. 112 p.
- Spanos, D. A.; Papanikolaou, A. D. 2012. On the time dependence of survivability of RoPax ships, Journal of Marine Science and Technology 17(1): 40–46. http://doi.org/10.1007/s00773-011-0143-0
- Trucco, P.; Cagno, E.; Ruggeri, F.; Grande, O. 2008. A Bayesian Belief Network modelling of organisational factors in risk analysis: a case study in maritime transportation, Reliability Engineering & System Safety 93(6): 845–856. http://doi.org/10.1016/j.ress.2007.03.035
- Vanem, E.; Puisa, R.; Skjong, R. 2009. Standardized risk models for formal safety assessment of maritime transportation, in Proceedings of the ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering, 31 May–5 June 2009, Honolulu, Hawaii, US, 51–61. http://dx.doi.org/10.1115/OMAE2009-79062
- Vanem, E.; Skjong, R. 2004. Collision and grounding of passenger ships – risk assessment and emergency evacuations, in Proceedings of the 3rd International Conference on Collision and Grounding of Ships, ICCGS 2004, 25–27 October 2004, Izu, Japan.
- Weber, P.; Medina-Oliva, G.; Simon, C.; Iung, B. 2012. Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas, Engineering Applications of Artificial Intelligence 25(4): 671–682. http://doi.org/10.1016/j.engappai.2010.06.002
- Yuan, C.; Druzdzel, M. J. 2003. An importance sampling algorithm based on evidence pre-propagation, in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003), 7–10 August 2003, Acapulco, Mexico, 624–631.
- Zhao, L.; Wang, X.; Qian, Y. 2012. Analysis of factors that influence hazardous material transportation accidents based on Bayesian networks: a case study in China, Safety Science 50(4): 1049–1055. http://doi.org/10.1016/j.ssci.2011.12.003