Quantitative Model of Collision Causes in Japan

The world shipping industry is risky involving high uncertainties, and maritime safety has a direct bearing on human life, property and health of the marine environment. Therefore, safety has always been the focus of maritime transportation. Total-loss marine accidents present the most serious accident type in terms of economic cost. It is therefore crucial for decision-making and guidance on rational safety resource allocation through the analysis and evaluation of the influential factors of total-loss marine accidents. Its novelty lies in the pioneering analysis of all the factors solely influencing total-loss accidents in the whole world region, hence aid the development of a big database on total-loss marine accidents for rational safety policy making. This paper involves 16 ship types and 13 main navigation sea regions and analyses the data on the total-loss marine accidents that occurred in the world from 1998 to 2018. As a result, 11 main influential factors are selected and evaluated by an improved entropy weight-TOPSIS model. The results show that, in the both models with respect to ship type and sea region, the main influential factors are foundering, stranding and fires/explosions. Based on such findings, this paper proposes a series of countermeasures with respect to different factors respectively, which will aid the relevant maritime safety authorities such as the International Maritime Organization and ship owners/operations to take effective risk control actions to avoid/reduce the occurrence of total-loss marine accidents in future.

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Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions

Chen

Bian

Wan

et al. 2019

Ocean Engineering

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Strategic Identification of Unsafe Actions That Characterize Accidents on Ships

Rivai¹,

Furusho²

2013

Journal of Navigation and Port Research

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: Seafarers are one of the main engines driving economic growth in the maritime sector. The International Maritime (IMO) Organization estimated that there were approximately 1. 5 million seafarers around the world engaged in international trade in 2012. Data have shown that human casualties in maritime accidents around Japan have shown an increasing trend over the last ten years. One cause is human error, which is inseparable from the human element that influences mariner's decisions and actions. The Personal Identification (PIN) Safe method is one way to systematically identify substandard and unsafe actions by considering the error taxonomies associated with various scenarios for a maritime system. The results are based on analysis of the role of the human element in commonly reported unsafe actions when interacting with equipment and other systems. Furthermore, patterns of influencing shaping factors were observed on the basis of data processing; the aim of this study was to promote safety culture and provide an opportunity to improve safety at sea.

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Quantitative Model of Collision Causes in Japan

Cited by 2 publications

References 3 publications

Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions

Identifying factors influencing total-loss marine accidents in the world: Analysis and evaluation based on ship types and sea regions

Strategic Identification of Unsafe Actions That Characterize Accidents on Ships

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