Analysis of fishing vessel accidents with Bayesian network and Chi-square methods

OCEAN ENGINEERING

卷:198

Article

Ugurlu, Funda¹  Yildiz, Serdar²  Boran, Muhammet²  Ugurlu, Ozkan²  Wang, Jin³ 

[1] Republ Turkey Minist Food Agr & Livestock, Dept Fisheries & Aquaculture, Trabzon, Turkey

[2] Karadeniz Tech Univ, Maritime Transportat & Management Engn Dept, Trabzon, Turkey

[3] Liverpool John Moores Univ, Fac Engn & Technol, Liverpool Logist Offshore & Marine LOOM Res Inst, Liverpool, Merseyside, England

关键词: Fishing vessel;    Marine accident;    Accident analysis;    Bayesian network;    Maritime transportation;   

DOI  :  10.1016/j.oceaneng.2020.106956

来源: Elsevier

【 摘 要 】

Commercial fishing is an important industry that generates income directly or indirectly to many people in the world. It is impossible to carry out a fishing activity on this scale without a vessel. Therefore, fishing vessels are the most important element of modern fishing industry. Fishing vessels play a key role in fishing, transporting and storing fish. Thousands of people die every year as a result of fishing vessel accidents. In order to carry out sustainable fishing operations, fishing vessel accidents should be investigated and measures should be taken to prevent them. Therefore, in this study for analysing of accidents occurred between 2008 and 2018 in fishing vessels, with full lengths of 7 m and above, Bayesian network, chi-square methods were used. As a result, recommendations were made to prevent accidents. Also, Accident (Bayes) Network, which summarizes the occurrence of accidents on fishing vessels, is presented. These networks allow to understand the occurrence of accidents in fishing vessels and to estimate the occurrence of accidents in variable conditions. It was also found that there was a significant relationship between accident category and vessel length, vessel age, loss of life and loss of vessel.

【 授权许可】

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