Factor and trend analysis of total-loss marine casualty using a fuzzy matter element method

International Journal of Disaster Risk Reduction

Volumn 24, Issue , 2017, Pages 383-390

  Chen, Jihong ^a,b   Zhang, Fangwei ^a   Yang, Chen ^a   Zhang, Changjiang ^a   Luo, Lihua ^a  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b NONE

Author keywords

Factor and trend analysis; Fuzzy matter element method; Shipping safety; Total loss marine casualty

Indexed keywords

EID: 85024900648     PISSN: 22124209     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijdrr.2017.07.001     Document Type: Article

References (61)

1. Bertho, F., Borchert, I., Mattoo, A., The trade reducing effects of restrictions on liner shipping. J. Comp. Econ. 44:2 (2016), 231–242.
2. Li, K.X., Wang, Y., Min, J., Quantitative analysis of materiality in marine insurance. Marit. Policy Manag. 36:5 (2009), 437–455.
3. Rose, F., Marine Insurance: Law and Practice. 2013, CRC Press, Boca Raton, Florida, USA.
4. Jin, D., Kite-Powell, H., Talley, W., The safety of commercial fishing: determinants of vessel total losses and injuries,”. J. Saf. Res. 32:2 (2001), 209–228.
5. Jin, D., Thunberg, E., An analysis of fishing vessel accidents in fishing areas off the northeastern United States. Saf. Sci. 43:8 (2005), 523–540.
6. Wang, J., Pillay, A., Kwon, Y.S., Wall, A.D., Loughran, C.G., An analysis of fishing vessel accidents. Accid. Anal. Prev. 37:6 (2005), 1019–1024.
7. Perez-Labajos, C., Blanco, B., Achutegui, J., González, J., Analysis of accident inequality of the Spanish fishing fleet. Accid. Anal. Prev. 38:6 (2006), 1168–1175.
8. Wu, Y., Pelot, R.P., Hilliard, C., The influence of weather conditions on the relative incident rate of fishing vessels. Risk Anal. 29:7 (2009), 985–999.
9. Grabowski, M., You, Z., Song, H., Wang, H., Merrick, J.R., Sailing on Friday: developing the link between safety culture and performance in safety-critical systems. IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum. 40:2 (2010), 263–284.
10. Rezaee, S., Pelot, R., Finnis, J., The effect of extratropical cyclone weather conditions on fishing vessel incidents' severity level in Atlantic Canada,”. Saf. Sci. 85 (2016), 33–40.
11. Piniella, F., Soriguer, M.C., Walliser, J., Analysis of the specific risks in the different artisanal fishing methods in Andalusia, Spain. Saf. Sci. 46:8 (2008), 1184–1195.
12. McDonald, M.A., Kucera, K.L., Understanding non-industrialized workers' approaches to safety: how do commercial fishermen ‘stay safe’?. J. Saf. Res. 38:3 (2007), 289–297.
13. Perez-Labajos, C., Fishing safety policy and research. Mar. Policy 32:1 (2008), 40–45.
14. Mata-Álvarez-Santullano, F., Souto-Iglesias, A., Fishing effort control policies and ship stability: analysis of a string of accidents in Spain in the period 2004–2007. Mar. Policy 40 (2013), 10–17.
15. Laursen, L.H., Hansen, H.L., Jensen, O.C., Fatal occupational accidents in Danish fishing vessels 1989–2005. Int. J. Inj. Control Saf. Promot. 15:2 (2008), 109–117.
16. Perez-Labajos, C.A., Blanco, B., Azofra, M., Achútegui, J.J., Eguía, E., Injury and loss concentration by sinkings in fishing fleets. Saf. Sci. 47:2 (2009), 277–284.
17. Eliopoulou, E., Papanikolaou, A., Casualty analysis of large tankers. J. Mar. Sci. Technol. 12:4 (2007), 240–250.
18. Uğurlu, Ö., Köse, E., Yıldırım, U., Yüksekyıldız, E., Marine accident analysis for collision and grounding in oil tanker using FTA method. Marit. Policy Manag. 42:2 (2015), 163–185.
19. Hsu, W.K.K., Huang, S.H.S., Yeh, R.F.J., An assessment model of safety factors for product tankers in coastal shipping. Saf. Sci. 76 (2015), 74–81.
20. Youssef, S.A.M., Ince, S.T., Kim, Y.S., Paik, J.K., Cheng, F., Kim, M.S., Quantitative risk assessment for collisions involving double hull oil tankers. Int. J. Marit. Eng. 156 (2014), 157–174.
21. Talley, W.K., Determinants of cargo damage risk and severity: the case of containership accidents. Logist. Transp. Rev. 32:4 (1996), 377–388.
22. Talley, W.K., Vessel damage cost differentials: bulk, container and tanker accidents. Int. J. Marit. Econ. 4:4 (2002), 307–322.
23. Lu, C.S., Tsai, C.L., The effects of safety climate on vessel accidents in the container shipping context. Accid. Anal. Prev. 40:2 (2008), 594–601.
24. Kim, D.K., Pedersen, P.T., Paik, J.K., Kim, H.B., Zhang, X., Kim, M.S., Safety guidelines of ultimate hull girder strength for grounded container ships. Saf. Sci. 59 (2013), 46–54.
25. Chang, C.H., Xu, J., Song, D.P., An analysis of safety and security risks in container shipping operations: a case study of Taiwan. Saf. Sci. 63 (2014), 168–178.
26. Yip, T.L., Jin, D., Talley, W.K., Determinants of injuries in passenger vessel accidents. Accid. Anal. Prev. 82 (2015), 112–117.
27. Mileski, J.P., Wang, G., Beacham, L.L., Understanding the causes of recent cruise ship mishaps and disasters. Res. Transp. Bus. Manag. 13 (2014), 65–70.
28. Lucas, S.A., Planner, J., “Grounded or submerged bulk carrier: the potential for leaching of coal trace elements to seawater. Mar. Pollut. Bull. 64:5 (2012), 1012–1017.
29. Said, M.O., Theory and practice of total ship survivability for ship design. Nav. Eng. J. 107:4 (1995), 191–203.
30. Fujita, K., Akagi, S., Agent-based distributed design system architecture for basic ship design. Concurr. Eng. 7:2 (1999), 83–93.
31. Ayyub, B.M., Assakkaf, I.A., Kihl, D.P., Siev, M.W., Reliability-Based Design Guidelines for Fatigue of Ship Structures. Nav. Eng. J. 114:2 (2002), 113–138.
32. Nowacki, H., Five decades of computer-aided ship design. Comput.-Aided Des. 42:11 (2010), 956–969.
33. Kang, H.J., Yang, Y.S., Choi, J., Lee, J.K., Lee, D., Time basis ship safety assessment model for a novel ship design. Ocean Eng. 59 (2013), 179–189.
34. Bačkalov, I., Bulian, G., Rosén, A., Shigunov, V., Themelis, N., Improvement of ship stability and safety in intact condition through operational measures: challenges and opportunities. Ocean Eng. 120 (2016), 353–361.
35. Hetherington, C., Flin, R., Mearns, K., Safety in shipping: the human element. J. Saf. Res. 37:4 (2006), 401–411.
36. Celik, M., Cebi, S., Analytical HFACS for investigating human errors in shipping accidents. Accid. Anal. Prev. 41:1 (2009), 66–75.
37. Akyuz, E., Celik, M., Utilisation of cognitive map in modelling human error in marine accident analysis and prevention. Saf. Sci. 70 (2014), 19–28.
38. Chae, C.J., A study on human error of DP vessels LOP incidents. J. Korean Soc. Mar. Environ. Saf. 21:5 (2015), 515–523.
39. Uğurlu, Ö., Yıldırım, U., Başar, E., Analysis of grounding accidents caused by human error. J. Mar. Sci. Technol. 23:5 (2015), 748–760.
40. Grabowski, M., Ayyalasomayajula, P., Merrick, J., Harrald, J.R., Roberts, K., Leading indicators of safety in virtual organizations. Saf. Sci. 45:10 (2007), 1013–1043.
41. Schröder-Hinrichs, J.U., Baldauf, M., Ghirxi, K.T., Accident investigation reporting deficiencies related to organizational factors in machinery space fires and explosions. Accid. Anal. Prev. 43:3 (2011), 1187–1196.
42. Mentes, A., Akyildiz, H., Yetkin, M., Turkoglu, N., A FSA based fuzzy DEMATEL approach for risk assessment of cargo ships at coasts and open seas of Turkey. Saf. Sci. 79 (2015), 1–10.
43. Banda, O.A.V., Goerlandt, F., Kuzmin, V., Kujala, P., Montewka, J., Risk management model of winter navigation operations. Mar. Pollut. Bull. 108:1–2 (2016), 242–262.
44. Weng, J., Ge, Y.E., Han, H., Evaluation of shipping accident casualties using Zero-inflated Negative Binomial Regression Technique. J. Navig. 69:2 (2016), 433–448.
45. Eleftheria, E., Apostolos, P., Markos, V. V., Statistical analysis of ship accidents and review of safety level. Saf. Sci. 85 (2016), 282–292.
46. Trucco, P., Cagno, E., Ruggeri, F., Grande, O., A Bayesian belief network modelling of organisational factors in risk analysis: a case study in maritime transportation. Reliab. Eng. Syst. Saf. 93:6 (2008), 845–856.
47. Hänninen, M., Kujala, P., Influences of variables on ship collision probability in a Bayesian belief network model. Reliab. Eng. Syst. Saf. 102 (2012), 27–40.
48. Helle, I., Ahtiainen, H., Luoma, E., Hänninen, M., Kuikka, S., A probabilistic approach for a cost-benefit analysis of oil spill management under uncertainty: a Bayesian network model for the Gulf of Finland. J. Environ. Manag. 158 (2015), 122–132.
49. Nivolianitou, Z.S., Koromila, I.A., Giannakopoulos, T., Bayesian network to predict environmental risk of a possible ship accident. Int. J. Risk Assess. Manag. 19:3 (2016), 228–239.
50. Wang, F., Wu, Z., Zheng, Z., Grey relative analysis for the marine accidents in the heavy storm and wave. J. Dalian Marit. Univ. 47:4 (2003), 31–34.
51. Yip, T.L., Port traffic risks–a study of accidents in Hong Kong waters. Transp. Res. Part E: Logist. Transp. Rev.,” 44:5 (2008), 921–931.
52. Kokotos, D.X., Linardatos, D.S., An application of data mining tools for the study of shipping safety in restricted waters. Saf. Sci. 49:2 (2011), 192–197.
53. Goulielmos, A.M., Giziakis, C.B., Marine accident prevention: an evaluation of the ISM code by the fundamentals of the complexity theory. Disaster Prev. Manag.: Int. J. 11:1 (2002), 18–32.
54. Faghih-Roohi, S., Xie, M., Ng, K.M., Accident risk assessment in marine transportation via Markov modelling and Markov Chain Monte Carlo simulation. Ocean Eng. 91 (2014), 363–370.
55. Cicek, K., Celik, M., Application of failure modes and effects analysis to main engine crankcase explosion failure on-board ship. Saf. Sci. 51:1 (2013), 6–10.
56. Hodges, S., Law of Marine Insurance. 2013, Routledge, London, UK.
57. Merkin, R., Hjalmarsson, J., Bugra, A., Lavelle, J., Marine Insurance Legislation. 2014, CRC Press, Boca Raton, Florida, USA.
58. Li, K.X., Wonham, J., Who is safe and who is at risk: a study of 20-year-record on accident total loss in different flags. Marit. Policy Manag. 26:2 (1999), 137–144.
59. Lindøe, P.H., Engen, O.A., Olsen, O.E., Responses to accidents in different industrial sectors. Saf. Sci. 49:1 (2011), 90–97.
60. Cai, W., Yang, C., Weichu, L., Extension Engineering Methods. 2003, Science Press.
61. C.Y. Yang, Y.J. Zhang, W. Cai, Study on extension set and its applications, Mathematics in Practice and Theory, vol.32, no.2, pp. 301–308.