• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.5-7
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• 2021

최근 해양사고 발생 건수의 급격한 증가와 더불어 어선의 조업 중 안전사고로 인한 인명피해 또한 크게 증가하였다. 중앙해양안전심판원의 공식 통계에 따르면, 2017년 46명이었던 안전사고의 사망실종자는 2019년 38명으로 소폭 감소하였으나, 2020년 60명으로 크게 증가하였다. 그러나, 사망자가 감소하였던 2019년 안전사고로 인한 부상자는 164명으로 전년도 76명 대비 2배 이상 증가하며 어선원에 대한 안전재해 예방은 실효성을 갖지 못하는 실정이다. 국내 업종별 산업재해율을 비교해볼 때, 어업 재해율은 농업, 광업, 제조업, 건설업, 임업 등을 포괄한 전체 산업 평균 재해율의 약 10배에 이르며 어업인들의 안전이 큰 위협에 놓여있음을 시사한다. 본 연구에서는 2017년부터 2019년의 수협중앙회의 어선원 공제보험데이터를 활용하여 선박별, 재해자별 사고 현황과 발생 형태를 분석하였다. 특히, 교차분석과 연관규칙분석기법을 통해 승선 직책별 부상 부위와 사고발생 형태를 식별하였으며, 이에 따라 직책에 따른 부상 부위를 비교하여 맞춤형 예방대책 수립을 위한 지원과, 사고발생형태의 군집 분석을 통해 발생형태간의 연결고리를 도출하여, 스위스 치즈 모델에서 제안하는 취약점(Weakness)를 식별하고, 이러한 취약점을 보완하기 위한 방어 장벽(Protective barriers)을 제언한다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.5
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• pp.511-518
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• 2018

Research indicates, about 80% of maritime accidents are caused by human error. Further investigation of the human factors behind maritime casualties is essential in order to establish preventive measures. The main purpose of this study is to identify and analyze human factors behind maritime traffic-related accidents using the m-SHEL model. Since the m-SHEL model used in other fields is based on generic human factors, it has expanded in this study to accommodate ship operating systems and define human factors. In addition, the validity of the expanded model was verified by reliability analysis using SPSSWIN. A classified table for this extended m-SHEL model was then used to analyze human factors behind maritime traffic-related accidents extracted from a written verdict by the Korean Maritime Safety Tribunal. Human factors were arranged in the order L, L-E, L-H, L-m, L-L, and L-S. This paper contributes to the prevention of maritime traffic-related accidents caused by human factors by presenting useful analytical results that can be applied to build a maritime safety management system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.236-238
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• 2015

According to the change of maritime environments and the development of science and technologies unidentified risk factors are created day by day in the world. It is crucial reason for the occurrence of maritime accidents that the unidentified risk factors make unexpected and extra-ordinary cases. Thus prior identification of unidentified risk factors is key issues to prevent maritime accidents. In addition to the identification of risk factors, the identification and classification of ongoing risk factors and evaluation model in the future is also one of key issues to consider unidentified maritime accidents. In this study, we searched on the conventional risks and unidentified risks to find risk control options for new, unidentified and expected risks.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.56-58
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• 2014

최근 우리나라 연안해역에는 선박간의 빈번한 조우상황 및 교통량 증대로 해양사고 위험이 항상 잠재되어 있다. 또한, 선박 조선에 편의한 기술은 증대하고 있으나 충돌사고는 줄어들지 않고 있어, 경험을 기반으로 한 선박 조선은 한계에 왔으며, 선박의 충돌위험도의 정량화가 필요하다. 본 연구는 선박운항자의 주관적인 위험도를 나타내는 모델(PARK's Model / Potential Assessment of RisK)을 이용하여, 선박에서 간편하고 쉽게 이용할 수 있는 어플리케이션을 개발하고 이를 실제 선박에 탑재하여 그 효용성을 점검하여 선박통항 안전성에 기여하고자 한다. 이를 통해 선박에서 뿐만 아니라, 관제사에게 객관적인 정보를 제공하며, 예비 항해사를 위한 충돌예방 교육용 도구로도 사용하고자 한다.

• Proceedings of KOSOMES biannual meeting
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• 2004.05b
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• pp.29-34
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• 2004

Ship is bring operated under a highly dynamic environments and many factors are related whit marine accident and those factors are interacting. An analysis on the marine accident is very important to prepare countermeasures which will ensure the safe navigation This paper aims to build a model of the rouses and improved policy for marine accident using SD(System Dynamics) approach and to measure a effect which is risk control countermeasures of marine accident The methodology of this paper is to perform the causes and improved policy for marine accident using Brainstorming method, and was to changed by quantitutive, qualitative factors and their feedback loops in casual map. This model was performed over 23 years($1997\~2020$) in a standard simulation model and 4 policy simulation models.

• Journal of Navigation and Port Research
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• v.43 no.3
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• pp.160-165
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• 2019

The conduct of seafarer is major cause of marine accidents. This study models the behavior of the seafarer based on the Hidden Markov Model (HMM). Additionally, through the path analysis of the behavior estimated by the model, the kind of situations, procedures and errors that may have caused the marine accidents were interpreted. To successfully implement the model, the seafarer behaviors were observed by means of the summarized verdict reports issued by the Korean Maritime Safety Tribunal, and the observed results converted into behavior data suitable for HMM learning through the behavior classification framework based on the SRKBB (Skill-, Rule-, and Knowledge-Based Behavior). As a result of modeling the seafarer behaviors by the type of vessels, it was established that there was a difference between the models, and the possibility of identifying the preferred path of the seafarer behaviors. Through these results, it is expected that the model implementation technique proposed in this study can be applied to the prediction of the behavior of the seafarer as well as contribute to the prioritization of the behavior correction among seafarers, which is necessary for the prevention of marine accidents.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.863-869
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• 2018

Due to recent changes in the maritime traffic environment, naval warship accidents are constantly occurring. Especially in 2017, serious loss of life was caused by a US navy destroyer accident. The purpose of this study is to analyze the characteristics of naval warship accident cases and construct an accident scenario by using naval training materials, adjudication of naval warship accidents and US navy destroyer accident reports. Based on the surveyed data, the status of accidents was identified and cases were analyzed. We reproduced 17 accident cases in accordance with accident reproduction procedure and constructed naval warship accident scenarios. As a result of analyzing the CPA, TCPA and PARK model for risk, reproducing 17 naval ship accident cases, collision risk increased on average 5-6 minutes before an accident. The result of this study represents basic data for naval and simulation education materials, contributing to the prevention of marine accidents.

• Journal of Navigation and Port Research
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• v.27 no.2
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• pp.137-143
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• 2003

The prevention of marine accidents has been a important topic in marine society for long time, and various safety policies and countermeasures have been developed and applied to prevent those accidents. In spite of these efforts, however, significant marine accidents have taken place intermittently. Ship is being operated under a highly dynamic environments, and many factors are related with ship's collision, whose factors are interacting. So, the analysis on ship's collision causes are very important to prepare countermeasures which will ensure the safe navigation. This study analysed the ship's collision data over the past 10 years(1991-2000), which is compiled by Korea Marine Accidents Inquiry Agency. The analysis confirmed that‘ship's collision’is occurred most frequently and the cause is closely related with human factor. The main purpose of this study is to analyse human factor. For this, the structure of human factor is analysed by the questionnaire methodology. Marine experts were surveyed based on major elements that were extracted from the human factor affecting to ship's collision. FSM has been widely adopted in modeling a dynamic system which is composed of human factors. Then, the structure analysis on the causes of ship's collision using FSM are performed. This structure model could be used in understanding and verifying the procedure of real ship's collision. Furthermore it could be used as the model to prevent ship's collision and reduce marine accidents.

• Journal of Navigation and Port Research
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• v.28 no.3
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• pp.161-167
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• 2004

Maritime safety and marine environmental protection are the most important topic in marine society. But, so many marine accidents have been occurred with the development of marine transportation industry. On the other side, ship is being operated under a highly dynamic environment and many factors are related with ship's collision Nowadays, the increasing tendency to the human errors of ship's collision is remarkable, and the investigation of the human errors has been heavily concentrated. This study analysed on the human errors of ship's collision related to the negligence of lookout and classified basic error type using GEMS(Generic Error Modeling System) dynamic model.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.233-234
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• 2019

인천시는 최근 해양재난 및 선박사고 해결을 위해 연안 중소형 안전운행 시스템 실증사업을 기획·추진하고 있으며 실증사업을 통해 선박충돌경고 등 4가지 서비스를 제공할 예정이다. 사업 관련 정책 결정 및 사업예산 근거 확보 등 사업의 지속가능성을 위해서는 서비스 효과평가를 통해 사업이 사전에 설정한 목표를 충분히 달성했는지 여부를 평가하고 필요시 추가적인 보완조치 등을 수행하여야 한다. 본 연구에서는 효과평가 정의, 과정, 체계 및 모형 등 효과평가 관련 이론적 접근을 수행하였다. 또한 관련 선행연구와 효과평가 사례분석 등을 통해 효과평가 모델(안)을 제시하였다. 향후 연구 관계자 및 서비스 체험자 등의 의견과 서비스로 인해 생성되는 Data 분석 등을 통해 효과평가 기준을 개발하고 사업에 적용할 예정이며 이를 통해 해양사고 예방 등 사업 목표 달성에 기여할 것으로 기대된다.