• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.373-378
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• 2012

In terms of the maritime accident prevention, risk analysis at targeted warterways is important for planning safety waterways. This paper analyzes the maritime accidents probability in the Mokpo waterways, South Korea, based on the IWRAP(IALA Waterway Risk Assessment) of the quantitative accident probability tool. Vessel collision probability cate is calculated by vessels meeting direction, using IWRAP. This paper contribute to advance improvement of vessel traffic service by VTS sector providing vessel fairway risk data.

• Journal of Navigation and Port Research
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• v.47 no.6
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• pp.324-330
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• 2023

Aids to navigation, which provide information about a ship's position, direction, and the location of obstacles, are crucial for uninterrupted maritime services. This study aimed to analyze accidents involving aids to navigation that resulted in service disruptions and identify the key factors associated with these accidents. Aids to navigation accident data from 2000 to 2022 were utilized to achieve this. We categorized accidents by accident type, cause, region, season, and type of navigation aid and established a network through correlation analysis. Bayesian networks based on aids to navigation accidents were assigned prior probabilities, and the factors that increased the probability of accidents for different types of aids to navigation were identified. The findings can be used to infer the causes of unreported aids to navigation accidents and serve as foundational data for the prevention of such accidents.

• Journal of Navigation and Port Research
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• v.32 no.10
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• pp.743-750
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• 2008

Recently Bridges crossing waterway are constructed in navigable waterway, so marine accidents near bridges navigable waterway often occurred bemuse that has affect dangerous element for. This paper analysed the necessary environmental factors to navigate safely near bridges and how to set up the environmental factors. Marine accidents elements occurred near bridges relate to span of bridge, size of navigating ship, length of straight way and traffic volume except mistake of mariners. As results of marine accident parameter analysis, Span of bridge is necessary more than 300m at least based on marine accident's analysis, and in case of more than ship's Length 150m, span of bridge is necessary more than 500m, $3{\sim}4L$(L; Ship's Length). Length of straight way before bridge is necessary more than 8L to minimize the marine accident.

• Journal of Navigation and Port Research
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• v.30 no.1 s.107
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• pp.29-34
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• 2006

This study aims to provide divers with improved sqfe diving practices by analyzing reports on scuba diving casualties that recently (from 1997-2003) occurred in Korea, Japan and USA The result of this study may contribute to reduce the diving accident. The data were collected through the diving accident reports of various sources, which include reports of the KUA (Korea Underwater Association) technical committee, the accident statistical data of Korea Coast Guard, articles of domestic and foreign scuba diving magazines, accident reports of various newspapers, annual reports on decompression illness and diving fatalities by DAN (Diver Alert Network), diving accident data reported to local and national seminars, and medical treatment data of diving accident. The analysis focused on the diving casualties and the result showed that the casualty rate in Korea was 2.8 and 2.2 times higher than those in Japan and USA, respectively.

• Journal of the Korean Society of Marine Environment & Safety
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• v.10 no.2 s.21
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• pp.17-22
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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 causes 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.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.241-247
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• 2018

Deep-sea fishing vessel No. 501 Oryong was fully flooded through its openings and sunk to the bottom of the sea due to the very rough sea weather on the way of evasion after a fishing operation in the Bearing Sea. As a result, many crew members died and/or were missing. In this study, a full-scale ship flooding and sinking simulation was conducted, and the sinking process was analyzed for the precise and scientific investigation of the sinking accident using a highly advanced Modeling & Simulation (M&S) system of the Fluid-Structure Interaction (FSI) analysis technique. To objectively secure the weather and sea states during the sinking accident in the Bering Sea, time-based wind and wave simulation at the region of the sinking accident was conducted and analyzed, and the weather and sea states were realized by simulating the irregular strong wave and wind spectrums. Simulation scenarios were developed and full-scale ship and fluid (air & seawater) modeling was performed for the flooding sinking simulation, by investigating the hull form, structural arrangement & weight distribution, and exterior inflow openings and interior flooding paths through its drawings, and by estimating the main tank capacities and their loading status. It was confirmed that the flooding and sinking accident was slightly different from a general capsize and sinking accident according to the simple loss of stability.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.98-99
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• 2023

In the maritime digital forensic part, it is very important and difficult process that analysis of data and information with vessel navigation system's binary log data for situation awareness of maritime accident. In recent years, analysis of vessel's navigation system's trajectory information is an essential element of maritime accident investigation. So, we made an experiment about corruption with various memory device in navigation system. The analysis of corruption test in seawater give us important information about the valid pulling time of sunken ship for acquirement useful trajectory information.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.112-112
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• 2017

• Journal of Navigation and Port Research
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• v.41 no.5
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• pp.303-318
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• 2017

In the shipping industry, it is well known that around 80 % or more of all marine accidents are caused fully or at least in part by human error. In this regard, the International Maritime Organization (IMO) stated that the study of human factors would be important for improving maritime safety. Consequently, the IMO adopted the Casualty Investigation Code, including guidelines to assist investigators in the implementation of the Code, to prevent similar accidents occurring again in the future. In this paper, a process of the human factors investigation is proposed to provide investigators with a guide for determining the occurrence sequence of marine accidents, to identify and classify human error-inducing underlying factors, and to develop safety actions that can manage the risk of marine accidents. Also, an application of these investigation procedures to a collision accident is provided as a case study This is done to verify the applicability of the proposed human factors investigation procedures. The proposed human factors investigation process provides a systematic approach and consists of 3 steps: 'Step 1: collect data & determine occurrence sequence' using the SHEL model and the cognitive process model; 'Step 2: identify and classify underlying human factors' using the Maritime-Human Factor Analysis and Classification System (M-HFACS) model; and 'Step 3: develop safety actions,' using the causal chains. The case study shows that the proposed human factors investigation process is capable of identifying the underlying factors and indeveloping safety actions to prevent similar accidents from occurring.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.85-85
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• 2018