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A review on the Analysis Methods Used in Maritime Casualty And Maritime Incident Studies

Yıl 2021, Cilt: 2 Sayı: 2, 101 - 112, 29.06.2021
https://doi.org/10.52602/mtl.885205

Öz

Marine casualties and marine incidents are undesirable events that can cause loss of life, ship or cargo and environmental damage after the accident. After marine casualties occur, accident investigations are carried out to find the true cause of the accident and to prevent similar accidents from happening again. Since serious negative consequences may occur after marine accidents, accident investigations are emphasized and necessary comprehensive measures are taken after investigations in order to prevent accidents. In this paper, a literature review was made on the marine casualty analysis methods used to find the causes of the accidents and analyze the accidents, marine casualty analysis methods are introduced and general information is given on using of these methods. There are many methods used to investigate marine accidents and to find the root causes of the accident as a result of the investigations. In order to ensure maritime safety, to protect the marine environment and to draw attention to maritime accidents by all maritime stakeholders, it is necessary to make effective and efficient marine accident analysis. When marine casualties are analyzed realistically with appropriate methods, it is seen that the root causes of the accidents are found and important lessons are learned in order to prevent similar accidents.

Kaynakça

  • Acharya, T. D., Yoo, K. W. ve Lee, D. H. (2017). GIS-Based Spatio-Temporal Analysis of marine accidents database in the coastal zone of Korea. Journal of Coastal Research, (79), 114-118. doi: 10.2112/SI79-024.1
  • Arici, S. S., Akyuz, E. ve Arslan, O. (2020). Application of Fuzzy Bow-Tie Risk Analysis to maritime transportation: The case of ship collision during the STS operation. Ocean Engineering, 217. doi: 10.1016/j.oceaneng.2020.107960
  • Arslan, Ö., Zorba, Y. ve Svetak, J. (2018). Fault Tree Analysis of tanker accidents during loading and unloading operations at the tanker terminals. Journal of Eta Maritime Science, 6(1), 3-16. doi:10.5505/jems.2018.29981
  • Asuelimen, G., Blanco-Davis, E., Wang, J., Yang, Z. ve Matellini, D. B. (2020). Formal safety assessment of a marine seismic survey vessel operation, incorporating Risk Matrix and Fault Tree Analysis. Journal of Marine Science and Application, 19(2), 155-172. doi:10.1007/s11804-020-00136-4
  • Awal, Z.I. ve Hasegawa, K. (2017). A study on accident theories and application to maritime accidents. Procedia Engineering, 194, 298-306. doi:10.1016/j.proeng.2017.08.149
  • Aydemir, İ. (2017). Sağlık kurumlarında sistem kaynaklı tıbbi hataların analizi. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 19(4), 665-681. doi:10.16953/deusosbil.281328
  • Babacan, E.K. ve Karaduman, M.Ö. (2018). Bayes Ağları-K2 Algoritması üzerine bir çalışma. Karadeniz Fen Bilimleri Dergisi, 8(2), 24-38. doi:10.31466/kfbd.418862
  • Beşi̇kçi̇, E.B. ve Şıhmantepe, A. (2020). Deniz kazalarının çözümlenmesine güncel bir bakış: Fram yöntemi ile analiz örneği. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, Özel Sayı, 69-90. doi:10.18613/de-udfd.740159
  • Banda, O. V., Hänninen, M., Goerlandt, F. ve Kujala, P. (2014a). Bayesian networks as a decision making tool to plan and assess maritime safety management indicators. Paulos, T (Ed). 12th International Probabilistic Safety Assessment and Management Conference (PSAM). Honolulu
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  • Bayazit, O., Toz, A. C. ve Buber, M. (2020). Spatial distribution analysis of ship accidents in the Çanakkale Strait. Scientific Journals of the Maritime University of Szczecin, 62, 9-17. doi:10.17402/414
  • Budiyanto, M. A. ve Fernanda, H. (2020). Risk assessment of work accident in container terminals using the fault tree analysis method. Journal of Marine Science and Engineering, 8(6), 466. doi:10.3390/jmse8060466
  • Büber, M. ve Töz, A. C. (2019). Liman sahasında meydana gelen gemi kazalarının konumsal analizi: Ege Bölgesi için bir uygulama. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 11, 1-16. doi:10.18613/ deudfd.565124
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  • Bye, R. J. ve Almklov, P. G. (2019). Normalization of maritime accident data using AIS. Marine Policy, 109, 103675. doi:10.1016/j.marpol.2019.103675
  • Chai, T., Weng, J. ve De-qi, X. (2017). Development of a quantitative risk assessment model for ship collisions in fairways. Safety science, 91, 71-83. doi:10.1016/j.ssci.2016.07.018
  • Chen, S. T. (2020). An approach of identifying the common human and organisational factors (HOFs) among a group of marine accidents using GRA and HFACS-MA. Journal of Transportation Safety and Security, 12(10), 1252-1294. doi:10.1080/19439962.2019.1583297
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  • De la Campa Portela, R. (2005). Maritime casualties analysis as a tool to improve research about human factors on maritime environment. Journal of Maritime Research, 2(2), 3-18.
  • Demir, İ. (2016). Deniz kazalarını ve olaylarını araştırma ve inceleme yönetmeliği üzerine değerlendirmeler. Marmara Üniversitesi Hukuk Fakültesi Hukuk Araştırmaları Dergisi, 22(3), 879-904.
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Deniz Kazaları ve Deniz Olaylarını İnceleme Çalışmalarında Kullanılan Analiz Yöntemleri Üzerine Bir Değerlendirme

Yıl 2021, Cilt: 2 Sayı: 2, 101 - 112, 29.06.2021
https://doi.org/10.52602/mtl.885205

Öz

Deniz kazaları ve deniz olayları can, gemi ya da yük kayıpları ve kaza sonrasında çevre zararı da oluşturabilen yaşanması arzu edilmeyen olaylardır. Deniz kazaları gerçekleştikten sonra kazanın gerçek nedeninin bulunarak benzer kazaların tekrar yaşanmaması için kaza incelemeleri yapılmaktadır. Deniz kazaları sonrasında ciddi olumsuz sonuçlar meydana gelebileceği için kaza incelemeleri üzerinde önemle durulmakta ve kazaların önüne geçebilmek için incelemeler sonrasında gerekli kapsamlı tedbirler alınmaktadır. Bu çalışmada gerçekleşen deniz kazaları sonrasında kaza nedenlerinin bulunup kazaların analiz edilmesinde kullanılan deniz kaza analiz yöntemleriyle ilgili literatür taraması yapılmış ve deniz kaza analiz yöntemleri tanıtılarak bu yöntemlerin kullanımlarına ilişkin genel bilgiler verilmiştir. Deniz kazalarını incelemek ve incelemelerin sonucunda kazaya sebep olan kök nedenlerin bulmak amacıyla kullanılan birçok yöntem mevcuttur. Deniz emniyetinin sağlanması, deniz çevresinin korunması ve tüm denizcilik paydaşları tarafından deniz kazalarına dikkat çekilebilmesi için gerçekleşen deniz kazalarının analizlerinin etkin ve etkili şekilde yapılması gerekmektedir. Deniz kazaları gerçekçi şekilde uygun yöntemler ile analiz edildiğinde kazaların kök nedenlerinin bulunduğu ve benzer kazaların yaşanmaması için önemli dersler çıkarıldığı görülmektedir.

Kaynakça

  • Acharya, T. D., Yoo, K. W. ve Lee, D. H. (2017). GIS-Based Spatio-Temporal Analysis of marine accidents database in the coastal zone of Korea. Journal of Coastal Research, (79), 114-118. doi: 10.2112/SI79-024.1
  • Arici, S. S., Akyuz, E. ve Arslan, O. (2020). Application of Fuzzy Bow-Tie Risk Analysis to maritime transportation: The case of ship collision during the STS operation. Ocean Engineering, 217. doi: 10.1016/j.oceaneng.2020.107960
  • Arslan, Ö., Zorba, Y. ve Svetak, J. (2018). Fault Tree Analysis of tanker accidents during loading and unloading operations at the tanker terminals. Journal of Eta Maritime Science, 6(1), 3-16. doi:10.5505/jems.2018.29981
  • Asuelimen, G., Blanco-Davis, E., Wang, J., Yang, Z. ve Matellini, D. B. (2020). Formal safety assessment of a marine seismic survey vessel operation, incorporating Risk Matrix and Fault Tree Analysis. Journal of Marine Science and Application, 19(2), 155-172. doi:10.1007/s11804-020-00136-4
  • Awal, Z.I. ve Hasegawa, K. (2017). A study on accident theories and application to maritime accidents. Procedia Engineering, 194, 298-306. doi:10.1016/j.proeng.2017.08.149
  • Aydemir, İ. (2017). Sağlık kurumlarında sistem kaynaklı tıbbi hataların analizi. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 19(4), 665-681. doi:10.16953/deusosbil.281328
  • Babacan, E.K. ve Karaduman, M.Ö. (2018). Bayes Ağları-K2 Algoritması üzerine bir çalışma. Karadeniz Fen Bilimleri Dergisi, 8(2), 24-38. doi:10.31466/kfbd.418862
  • Beşi̇kçi̇, E.B. ve Şıhmantepe, A. (2020). Deniz kazalarının çözümlenmesine güncel bir bakış: Fram yöntemi ile analiz örneği. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, Özel Sayı, 69-90. doi:10.18613/de-udfd.740159
  • Banda, O. V., Hänninen, M., Goerlandt, F. ve Kujala, P. (2014a). Bayesian networks as a decision making tool to plan and assess maritime safety management indicators. Paulos, T (Ed). 12th International Probabilistic Safety Assessment and Management Conference (PSAM). Honolulu
  • Banda, O. V., Goerlandt, F., Montewka, J. ve Kujala, P. (2014b). Winter navigation at the Baltic Sea: an analysis of accidents occurred during winters 2002–2003 and 2009–2013. Nowakowski,T., Mlynczak, M., Jodejko-Pietruczuk, A. ve Werbinska-Wojciechowska, S. (Ed). Safety and Reliability Methodology and Applications 83-92. London: CRC Press.
  • Bayazit, O., Toz, A. C. ve Buber, M. (2020). Spatial distribution analysis of ship accidents in the Çanakkale Strait. Scientific Journals of the Maritime University of Szczecin, 62, 9-17. doi:10.17402/414
  • Budiyanto, M. A. ve Fernanda, H. (2020). Risk assessment of work accident in container terminals using the fault tree analysis method. Journal of Marine Science and Engineering, 8(6), 466. doi:10.3390/jmse8060466
  • Büber, M. ve Töz, A. C. (2019). Liman sahasında meydana gelen gemi kazalarının konumsal analizi: Ege Bölgesi için bir uygulama. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 11, 1-16. doi:10.18613/ deudfd.565124
  • Büyükkarakurt, A. ve Mutluoğlu, Ö. (2020). Altyapı bilgi sistemi ve Konya örneği. Türkiye Coğrafi Bilgi Sistemleri Dergisi, 2(1), 10-16.
  • Bye, R. J. ve Almklov, P. G. (2019). Normalization of maritime accident data using AIS. Marine Policy, 109, 103675. doi:10.1016/j.marpol.2019.103675
  • Chai, T., Weng, J. ve De-qi, X. (2017). Development of a quantitative risk assessment model for ship collisions in fairways. Safety science, 91, 71-83. doi:10.1016/j.ssci.2016.07.018
  • Chen, S. T. (2020). An approach of identifying the common human and organisational factors (HOFs) among a group of marine accidents using GRA and HFACS-MA. Journal of Transportation Safety and Security, 12(10), 1252-1294. doi:10.1080/19439962.2019.1583297
  • Craig, B. (2013). Using safety performance metrics to support CSR goals and objectives. Vappu Kunnaala and Jenna Viertola. Proceedings of The International Scientıfıc Meeting for Corporate Social Responsibility (CSR) In Shipping, (s.77-91). Kotka. Publications of the Centre for Maritime Studies University of Turku.
  • Çakır, E. ve Kamal, B. (2021). İstanbul Boğazı’ndaki ticari gemi kazalarının karar ağacı yöntemiyle analizi. Aquatic Research, 4(1), 10-20. doi:10.3153/AR21002
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  • Demir, İ. (2016). Deniz kazalarını ve olaylarını araştırma ve inceleme yönetmeliği üzerine değerlendirmeler. Marmara Üniversitesi Hukuk Fakültesi Hukuk Araştırmaları Dergisi, 22(3), 879-904.
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  • Holen, S. M., Utne, I. B. ve Holmen, I. M. (2014). A preliminary accident investigation on a Norwegian fish farm applying two different accident models. Proceedings of the Probabilistic Safety Assessment and Management PSAM, 22-27. Honolulu.
  • Jia, Y., Zhuang, Y., Wang, F. ve Lyu, P. (2018). Causes analysis of ship collision accidents using Bayesian Network. International Society of Offshore and Polar Engineers. The 28th International Ocean and Polar Engineering Conference, 18-99. Sapporo.
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  • Jiang, M., Lu, J., Yang, Z. ve Li, J. (2020). Risk analysis of maritime accidents along the main route of the Maritime Silk Road: a Bayesian network approach. Maritime Policy and Management, 47(6), 815-832. doi: 10.1080/03088839.2020.1730010
  • Keçeci, T. (2015). Gemi kazası probleminin incelenmesi için kök sebep analizi yaklaşımı önerisi (Doktora Tezi). İstanbul Teknik Üniversitesi Fen Bilimleri Enstitüsü.
  • Keefe, P. (2016). Disasters at sea and their impact on shipping regulation. Marine Link. Erişim adresi: https://www.marinelink.com/news/regulation-disasters371542
  • Kim, H., Na, S., Kim, H. ve Ha, W. (2010, Eylül). Marine accident investigation and analysis with focus on human factors. Human Factors and Ergonomics Society Annual Meeting, 1440-1444. Los Angeles: CA: SAGE Publications. doi:10.1177/154193121005401918
  • Koçak, D. (2019). Bir kömür madeninde iş sağlığı ve güvenliği risk değerlendirmesi için uygun yöntem seçimi (Yüksek Lisans Tezi). Hacettepe Üniversitesi Fen Bilimleri Enstitüsü.
  • Kum, S. (2005). Petrol tankerlerinde risk değerlendirmesi (Doktora Tezi). İstanbul Teknik Üniversitesi Fen Bilimleri Enstitüsü.
  • Lee, H. K. ve Chang, S. R. (2005). Cause analysis and prevention of fishing vessels accident. Journal of the Korean Society of Safety, 20 (1), 153-157.
  • Lee, J. ve Chung, H. (2018). A new methodology for accident analysis with human and system interaction based on FRAM: Case studies in maritime domain. Safety science, 109, 57-66. doi:10.1016/j.ssci. 2018.05.011
  • Li, K. X., Yin, J., Bang, H. S., Yang, Z. ve Wang, J. (2014). Bayesian network with quantitative input for maritime risk analysis. Transportmetrica A: Transport Science, 10(2), 89-118. doi:10.1080/18128602. 2012.675527
  • Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. ve Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Journal of Clinical Epidemiology, 62(10), e1-e34. doi:10.1016/j.jclinepi.2009.06.006
  • Mokhtari, K., Ren, J., Roberts, C. ve Wang, J. (2011). Application of a generic bow-tie based risk analysis framework on risk management of sea ports and offshore terminals. Journal of Hazardous Materials, 192(2), 465-475. doi:10.1016/j.jhazmat.2011.05.035
  • Montewka, J., Goerlandt, F. ve Kujala, P. (2014). On a systematic perspective on risk for formal safety assessment (FSA). Reliability Engineering and System Safety, 127, 77-85. doi:10.1016/j.ress.2014.03.009
  • Patriarca, R. ve Bergström, J. (2017). Modelling complexity in everyday operations: functional resonance in maritime mooring at quay. Cognition, Technology and Work, 19(4), 711-729. doi:10.1007/s10111-017-0426-2
  • Psarros, G., Skjong, R. ve Eide, M. S. (2010). Under-reporting of maritime accidents. Accident Analysis and Prevention, 42(2), 619-625. doi:10.1016/j.aap.2009.10.008
  • Purba, P. H., Dinariyana, A.A.B., Handani, D. W. ve Rachman, A. F. (2020). Application of formal safety assessment for ship collision risk analysis in Surabaya West Access Channel. IOP Conference Series: Earth and Environmental Science (1-10). Surabaya: IOP Publishing. doi:10.1088/1755-1315/557/1/012034
  • Raiyan, A., Das, S. ve Islam, M. R. (2017). Event tree analysis of marine accidents in Bangladesh. Procedia Engineering, 194, 276-283. doi:10.1016/j.proeng.2017.08.146
  • Said, M. H. ve Noor, M. F. A. M. (2018). Technique for the retrospective and predictive analysis of cognitive errors in maritime pilotage operations. 12th International UMT Annual Symposium Advancements in Marine and Freshwater Sciences, 11-320.
  • Salihoğlu, E. ve Beşikçi, E. B. (2021). The use of Functional Resonance Analysis Method (FRAM) in a maritime accident: A case study of Prestige. Ocean Engineering, 219 (2021), 108223. doi:10.1016/ j.oceaneng.2020.108223
  • Saragih, J. W. ve Hasibuan, A. (2020). Analysis of damage to ship MT. Delta Victory due to Human Error and Electricity with the Shel Method. 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), 48-51, Medan: IEEE. doi:10.1109/ELTICOM50775.2020.9230475
  • Schröder-Hinrichs, J. U., Baldauf, M. ve Ghirxi, K. T. (2011). Accident investigation reporting deficiencies related to organizational factors in machinery space fires and explosions. Accident Analysis and Prevention, 43(3), 1187-1196. doi:10.1016/j.aap.2010.12.033
  • Schröder-Hinrichs, J.-U., Graziano, A., Praetorius, G. ve Kataria, A. (2017). TRACEr-MAR: Technique for The Retrospective and Predictive Analysis of cognitive errors adapted to the maritime domain. WMU Papers in Maritime and Ocean Affairs No.1, Malmö: World Maritime University. doi:10.21677/pmoa.20170630
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  • Zhan, Y., Xu, F. ve Zhang, Y. (2009, Aralık). The application of HAZOP analysis on risk assessment of the 10000TEU container ships. International Asia Symposium on Intelligent Interaction and Affective Computing, 59-62. Wuhan:IEEE. doi:10.1109/ASIA.2009.9
  • Zhang, G. ve Thai, V. V. (2016). Expert elicitation and Bayesian Network modeling for shipping accidents: A literature review. Safety Science, 87, 53-62. doi:10.1016/j.ssci.2016.03.019
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  • Qiao, W., Liu, Y., Ma, X. ve Liu, Y. (2020). Human factors analysis for maritime accidents based on a dynamic fuzzy bayesian network. Risk Analysis, 40 (5), 957-980. doi:10.1111/risa.13444
  • Wang, H., Boulougouris, E., Theotokatos, G., Priftis, A., Shi, G., Dahle, M. and Tolo, E. (2020). Risk assessment of a battery-powered high-speed ferry using formal safety assessment. Safety, 6(3),39. doi:10.3390/ safety6030039
  • Whitaker-Sheppard, D., Kallen, E. and Wendel, T. (1996). Analysis of the causes of chemical spills from marine transportation or related facilities. USA Coast Guard Research and Development Center.
  • Xie, H. (2001). Risk-Based Approach to maritime safety (Yüksek Lisans Tezi). World Maritime University.
Toplam 75 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Deniz Mühendisliği (Diğer)
Bölüm İnceleme Makalesi
Yazarlar

Turuğsan Olgaç 0000-0001-7499-6582

Yayımlanma Tarihi 29 Haziran 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 2 Sayı: 2

Kaynak Göster

APA Olgaç, T. (2021). Deniz Kazaları ve Deniz Olaylarını İnceleme Çalışmalarında Kullanılan Analiz Yöntemleri Üzerine Bir Değerlendirme. Journal of Maritime Transport and Logistics, 2(2), 101-112. https://doi.org/10.52602/mtl.885205