• Title/Summary/Keyword: Maritime Accident

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A Study on the Cause Analysis for the Capsizing Accident in Fishing Vessels (어선의 전복사고 원인별 분석에 관한 연구)

  • Jung, Chang-Hyun;Park, Young-Soo;Kim, Jong-Sung;Kim, Se-Won
    • Journal of Fisheries and Marine Sciences Education
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    • v.24 no.1
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    • pp.1-8
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    • 2012
  • In recent 5 years, the 70 percent of the ship's accident was occurred in the fishing vessels, and most of them were the engine troubles and collisions. The capsizing accident was comparatively low portion of occupation, which took only 2 percent, but the scale of accident and the loss of lives and property are known very tremendous. In this paper, it was examined for the stability provisions of fishing vessels in domestic and international to reduce the capsizing of them. Also, it was made an analysis for the case of capsizing accidents to suggest the measures against the capsizing.

A Study on the Analysis of Domestic Shipboard Disaster (5년간(′95~′99년)국내의 선원재해 현황에 관한 연구)

  • Jang, Seok-Ki;Yang, Weon-Jae;Park, Gyei-Kark;Lee, Chang-Hee;Nam, Jeong-Gil;Cheon, Dae-Il
    • Journal of Navigation and Port Research
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    • v.26 no.3
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    • pp.329-336
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    • 2002
  • Recently, in the whole fields of industry including shipping business, the conception and importance of Human Factor is very highly and frequently emphasized. But the domestic crew disaster including injury and illness in our shipping business shows higher accident rate than other shipping countries. Therefore the developing of measures to prevent/reduce the accident is highly required as the marine accident including crew disaster causes enormous loss of property and human life in size and scale. But, because the domestic data regarding the crew accident are relatively insufficient and rule, the developing of those measures has many difficulties. Therefore, this study is to make the concerning data for the useful reference by showing the trend and current situation of crew accidents, assorted by the crew's rank, type of the accident, injured part of the body, cause of the accident, type of ships and type of the works when the accident occurred, by using the each ocean-going shipping company's recent 5 years('95∼'99) data in korea.

System-Theoretic View of Marine Pilotage Accident in Busan New Port

  • Wamugi Juliet Wangui;Sora Kim;Young-soo Park
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.142-143
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    • 2023
  • A contact accident with gantry cranes involving the container ship MV Milano Bridge in Busan New Port took place on 6 April 2020. The report concluded that the pilot unreasonably piloted the ship with impaired maneuverability and without a proper pilotage plan. Analyzing the entire system by CAST model gives a holistic approach in linking all the key components and their roles as well as violations that led to the accident, stepping away from placing the blame on only one component in the system. Furthermore, analyzing the accident as an system theory gives a clear overview of the relationships between system components and how these interactions led to the accident.

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Finding Hazard Factors by New Risks on Maritime Safety in Korea

  • Park, Deuk-Jin;Park, Seong-Bug;Yang, Hyeong-Sun;Yim, Jeong-Bin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.3
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    • pp.278-285
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    • 2016
  • The key features of maritime accidents are the change of their attributes by new risks from time to time. To prevent maritime accidents in Korea, the impacts by new risks on domestic safety environments should be identified or predicted. The purpose of this paper is to find the hazard factors by new risks on maritime safety in Korea. The meaning of new risks is the elements of accident hazard which is compiled from new or rare or unprecedented events in the worldwide maritime transportations. The problems of new risks are the lacks of optimum countermeasures to mitigate accident risks. Using the questionnaires with 152 event scenarios classified by 20 accident causes, the hazard identification and risk analysis of new risks was performed based on the Formal Safety Assessment (FSA) by IMO. A total of 22 Influence Diagrams, which is to depict the transit flows between accident causes to consequences, is used in the construction of 152 event scenarios. A total of 20 accidents causes is the same contents as the causation factors represented in Statistical Year Book for Maritime Accidents of Korean Maritime Safety Tribunals. After defining the evaluation equations to the response results of questionnaires by 46 experts, the work for risk analysis is carried out. As results from the analysis of 152 scenarios, it is known that the root cause to affect on maritime safety in Korea is the pressure of business competition and it led to the lacks of well experienced crews, the overload of vessel operations and crew's fatigue. In addition, as results from the analysis of 20 accident causes, the three accident causes are to be candidate as main issues in Korea such as the inadequate preparedness of departure, the neglecting of watch keeping in bridge and the inadequate management of ship operations. All of the results are thought to be as basic hazard factors to safety impediments. It is thus found that the optimum Risk Control Options to remove the hazard factors and to mitigate consequences required are the following two factors: business competition and crewing problems.

Sequence Labeling-based Multiple Causal Relations Extraction using Pre-trained Language Model for Maritime Accident Prevention (해양사고 예방을 위한 사전학습 언어모델의 순차적 레이블링 기반 복수 인과관계 추출)

  • Ki-Yeong Moon;Do-Hyun Kim;Tae-Hoon Yang;Sang-Duck Lee
    • Journal of the Korean Society of Safety
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    • v.38 no.5
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    • pp.51-57
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    • 2023
  • Numerous studies have been conducted to analyze the causal relationships of maritime accidents using natural language processing techniques. However, when multiple causes and effects are associated with a single accident, the effectiveness of extracting these causal relations diminishes. To address this challenge, we compiled a dataset using verdicts from maritime accident cases in this study, analyzed their causal relations, and applied labeling considering the association information of various causes and effects. In addition, to validate the efficacy of our proposed methodology, we fine-tuned the KoELECTRA Korean language model. The results of our validation process demonstrated the ability of our approach to successfully extract multiple causal relationships from maritime accident cases.