Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Analysis of Marine Accidents on Fishing Ships Using Accident Cause Data

사고 데이터의 주요 원인을 이용한 어선 해양사고 분석에 관한 연구

  • Sang-A Park (Graduated School of Pukyong National University) ;
  • Deuk-Jin Park (Division of Marine Production System Management, Pukyong National University)
  • 박상아 (부경대학교 대학원 수산물리학과 ) ;
  • 박득진 (부경대학교 수산과학대학 해양생산시스템관리학부 )
  • Received : 2023.01.13
  • Accepted : 2023.01.18
  • Published : 2023.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

Many studies have analyzed marine accidents, and since marine accident information is updated every year, it is necessary to periodically analyze and identify the causes. The purpose of this study was to prevent accidents by identifying and analyzing the causes of marine accidents using previous and new data. In marine accident data, 1,921 decisions by the Korea Maritime Safety Tribunal on marine accidents on fishing ships over 16 years were collected in consideration of the specificity of fishing ships, and 1,917 cases of accident notification text history by the Ministry of Maritime Affairs and Fisheries over 3 years were collected. The decision data and text data were classified according to variables and quantified. Prior probability was calculated using a Bayesian network using the quantified data, and fishing ship marine accidents were predicted using backward propagation. Among the two collected datasets, the decision data did not provide the types of fishing ships and fishing areas, and because not all fishing ship accidents were included in the decision data, the text data were selected. The probability of a fishing ship marine accident in which engine damage would occur in the West Sea was 0.0000031%, as calculated by backward propagation. The expected effect of this study is that it is possible to analyze marine accidents suitable for the characteristics of actual fishing ships using new accident notification text data to analyze fishing ship marine accidents. In the future, we plan to conduct research on the causal relationship between variables that affect fishing ship marine accidents.

해양사고 분석에 관한 많은 연구가 진행되고 있으며, 해양사고는 매년 업데이트되고 있어 주기적으로 원인을 분석하고 규명하는 것이 필요하다. 이 연구에서는 이전의 데이터와 새로운 데이터를 활용하여 해양사고를 파악·분석을 통해 어선 해양사고 원인을 규명하여 사고를 예방하는 것이다. 해양사고 데이터는 어선의 특수성을 고려하여 해양안전심판원의 어선에 대한 해양사고재결서 16년간의 1,921건을 수집하였으며, 해양수산부 종합상황실 사고알림문자 이력 3년간의 1,917건을 수집하였다. 재결서 데이터와 문자 데이터는 변수에 따라 분류하였으며, 수량화 작업을 수행하였다. 수량화 작업을 통한 데이터를 사용하여 베이지안 네트워크를 이용해 사전확률을 계산하였고, 후방 추론을 이용하여 어선 해양사고를 예측하였다. 두 가지 수집한 데이터 중 해양사고재결서는 모든 어선의 사고가 재결서에 포함되지 않았기 때문에 해양수산부 사고알림문자를 선택하였다. 분류한 데이터를 베이지안 네트워크를 사용하여 어선 해양사고의 사전 확률을 계산하였다. 후방 추론으로 계산한 기관손상이 서해 연안에서 발생할 어선 해양사고의 확률은 0.0000031%였다. 이 연구의 기대효과는 어선 해양사고를 분석하기 위하여 새로운 사고알림문자 데이터를 활용하여 실제 어선 특성에 맞는 해양사고를 분석할 수 있다는 것이다. 추후에는 어선 해양사고에 영향을 미치는 변수들 간의 인과관계에 관한 연구를 수행할 예정이다.

Keywords

Acknowledgement

이 논문은 부경대학교 자율창의학술연구비(CD20210799, 2021년)에 의하여 연구되었음.

References

  1. Camliyurt, G., Choi, S. A., Kim, S. R., Guzel, A. T. and Park, Y. S.(2022), "Risk Assessment for Marine Pilot Occupational Accidents using Fault Tree and Event Tree Analysis", Journal of Navigation and Port Research, Vol. 46, No. 5, pp. 400-408.  https://doi.org/10.5394/KINPR.2022.46.5.400
  2. Cho, H. K., Park, B. S., Kang, D. H. and Kim, S. S.(2017), "The Main factor and Counterplan for Marine accidents in Korea", Journal of Fisheries and Marine Sciences Education, Vol. 29, No. 3, pp. 746-756.  https://doi.org/10.13000/JFMSE.2017.29.3.746
  3. Fenton, N. and Neil, M.(2018), "Risk assessment and decision analysis with Bayesian networks", CRC Press. 
  4. Hanninen, M. and Kujala, P.(2014), "Bayesian network modeling of Port State Control inspection findings and ship accident involvement", Expert systems with applications, Vol. 41, No. 4, pp. 1632-1646.  https://doi.org/10.1016/j.eswa.2013.08.060
  5. Jo, S. S.(2016), "A Study on the Pattern Classification of Event Tree Analysis for Marine Accident Assessment", Mokpo National Maritime University, Graduate School, Master's thesis. 
  6. Jung, C. H.(2018), "A study on the improvement of safety by accidents analysis of fishing vessels" J. Fish. Mar. Sci. Educ, Vol. 30, pp. 179-186.  https://doi.org/10.13000/JFMSE.2018.02.30.1.176
  7. Kang, I. K., Kim, H. S., Kim, J. C., Park, B. S., Ham, S. J. and Oh, I. H.(2013), "Study on the marine casualties in Korea", Journal of the Korean Society of Fisheries and Ocean Technology, Vol. 49, No. 1, pp. 29-39.  https://doi.org/10.3796/KSFT.2013.49.1.029
  8. Kang, I. K., Kim, H. S., Shin, H. I., Lee, Y. W., Kim, J. C. and Jo, H. J.(2007), "Safety countermeasures for the marine casualties of fishing vessels in Korea", Journal of the Korean Society of Fisheries and Ocean Technology, Vol. 43, No. 2, pp. 149-159.  https://doi.org/10.3796/KSFT.2007.43.2.149
  9. Kim, D. J. and Kwak, S. Y.(2011), "Evaluation of human factors in ship accidents in the domestic sea", Journal of the Ergonomics Society of Korea, Vol. 30, No. 1, pp. 87-98.  https://doi.org/10.5143/JESK.2011.30.1.87
  10. Kim, M. S., Hwang, B. K. and Chang, H. Y.(2019), "Analysis of the working characteristics of the skipper and risk factors of marine accident in Korea coastal composite fishing vessels", Journal of the Korean Society of Fisheries and Ocean Technology, Vol. 55, No. 2, pp. 152-161.  https://doi.org/10.3796/KSFOT.2019.55.2.152
  11. Kim, S. H., Kim, H. S. and Lee, Y. W.(2020), "The causes and counterplan for marine casualties of fishing boats according to the fishing types", Journal of the Korean Society of Fisheries and Ocean Technology, Vol. 56, No. 3, pp. 246-257.  https://doi.org/10.3796/KSFOT.2020.56.3.246
  12. Kim, S. H., Kim, H. S., Kang, I. K. and Kim, W. S.(2017), "An analysis on marine casualties of fishing vessel by FTA method", Journal of the Korean Society of Fisheries and Ocean Technology, Vol. 53, No. 4, pp. 430-436.  https://doi.org/10.3796/KSFT.2017.53.4.430
  13. Kim, W. S., Lee, J. H., Kim, S. J., Kim, H. S. and Lee, Y. W.(2013), "A basic study on control factor for the marine casualties of fishing vessel in Korea", Journal of the Korean Society of Fisheries and Ocean Technology, Vol. 49, No. 1, pp. 40-50.  https://doi.org/10.3796/KSFT.2013.49.1.040
  14. KMST(2022), "Korean Maritime Safety Tribunal (2005-2020), Investigation report of Maritime Safety Judgement, www.kmst.go.kr". 
  15. Lee, H. J. and Kim, B. R.(2021), "Study to Improve the Legal System to Reduce Marine Accidents caused by Marine Plastic Litter", Journal of the Korean Society of Marine Environment & Safety, Vol. 27, No. 7, pp. 967-976.  https://doi.org/10.7837/kosomes.2021.27.7.967
  16. Lee, H. K. and Chang, S. R.(2005), "Cause analysis and prevention of fishing vessels accident", Journal of the Korean Society of Safety, Vol. 20, No. 1, pp. 153-157. 
  17. Lee, M. k., Park, Y. S., Lee, E. B. and Na, S. J.(2019), "A Study on the Improvement plan of Marine Accident Investigation Method", Korean Association of Maritime Police Science Vol. 9, No. 1, pp. 111-129.  https://doi.org/10.30887/jkmps.2019.9.1.111
  18. Lee, Y. W., Kim, S. J. and Park, M. K.(2013), "A study on the collision between fishing vessel and non fishing vessel using the analysis of written verdict", Journal of the Korean Society of Fisheries and Ocean Technology, Vol. 49, No. 2, pp. 136-143.  https://doi.org/10.3796/KSFT.2013.49.2.136
  19. MOF(2022), "Ministry of Oceans and Fisheries, General Information Center on Maritime safety & Security (2019-2022), Marine accidents, www.mof.go.kr". 
  20. MOLEG(2021), "Introduction of Korean Law Information Center(2021), Fisheries Act, www.law.go.kr". 
  21. Na, S., Lee, S. H. and Choi, H. J.(2016), "Fundamental Research on the Development of a Risk Based Decision Support System for Maritime Accident Response: Focused on Oil Tanker Grounding", Journal of navigation and port research, Vol. 40, No. 6, pp. 391-400.  https://doi.org/10.5394/KINPR.2016.40.6.391
  22. Park, D. J., Yang, H. S. and Yim, J. B.(2022), "Compression of the Variables Classifying Domestic Marine Accident Data", Journal of Navigation and Port Research, Vol. 46, No. 2, pp. 92-98.  https://doi.org/10.5394/KINPR.2022.46.2.92
  23. Park, T. G., Kim, S. J., Chu, Y. S., Kim, T. S., Ryu, K. J. and Lee, Y. W.(2018), "Reduction plan of marine casualty for small fishing vessels", Journal of the Korean Society of Fisheries and Ocean Technology, Vol. 54, No. 2, pp. 173-180.  https://doi.org/10.3796/KSFOT.2018.54.2.173
  24. Ugurlu, F., Yildiz, S., Boran, M., Ugurlu, O. and Wang, J.(2020), "Analysis of fishing vessel accidents with Bayesian network and Chi-square methods", Ocean Engineering, Vol. 198, p. 106956. 
  25. Ugurlu, O., Kose, E., Yildirim, U. and Yuksekyildiz, E.(2015), "Marine accident analysis for collision and grounding in oil tanker using FTA method", Maritime Policy & Management, Vol. 42, No. 2, pp. 163-185.  https://doi.org/10.1080/03088839.2013.856524
  26. Yim, J. B.(2009), "Development of Quantitative Risk Assessment Methodology for the Maritime Transportation Accident of Merchant Ship", Journal of Navigation and Port Research, Vol. 33, No. 1, pp. 9-19.  https://doi.org/10.5394/KINPR.2009.33.1.009
  27. Yim, J. B.(2009), "Implementation Techniques for the Seafarer's Human Error Assessment Model in a Merchant Ship: Practical Application to a Ship Management Company", Journal of Navigation and Port Research, Vol. 33, No. 3, pp. 181-191.  https://doi.org/10.5394/KINPR.2009.33.3.181
  28. Yim, J. B.(2017), "A Study on the Reduction of Common Words to Classify causes of Marine Accidents", Journal of Navigation and Port Research, Vol. 41, No. 3, pp. 109-118.  https://doi.org/10.5394/KINPR.2017.41.3.109
  29. Yim, J. B.(2019), "Analysis of Seafarers' Behavioral Error on Collision Accidents", Journal of Navigation and Port Research, Vol. 43, No. 4, pp. 237-242.  https://doi.org/10.5394/KINPR.2019.43.4.237
  30. Yu, Y. J. and Cho, M. G.(2009), "A Short-Term Traffic Information Prediction Model Using Bayesian Network", Journal of the Korea Institute of Information and Communication Engineering, Vol. 13, No. 4, pp. 765-773. https://doi.org/10.6109/JKIICE.2009.13.4.765