A Statistical Analysis of Ship Accidents (1990–2020) Focusing on Collision, Grounding, Hull Failure, and Resulting Hull Damage

Author:

Pilatis Aggelos N.12,Pagonis Dimitrios-Nikolaos12ORCID,Serris Michael1,Peppa Sofia1,Kaltsas Grigoris2ORCID

Affiliation:

1. Department of Naval Architecture, University of West Attica, 12243 Athens, Greece

2. microSENSES Laboratory, Department of Electrical and Electronics Engineering, University of West Attica, 12241 Athens, Greece

Abstract

In this work, over a thousand maritime casualty reports were reviewed in order to fully investigate and assess selected 213 marine accidents concerning the collision, grounding, and hull failure of ships, which occurred during the time period of 1990–2020, worldwide. Ship type and vessels’ main characteristics, as well as the cause of accidents, were categorized and analyzed statistically. The statistical software IBM SPSS© Statistics v.29 was employed for the investigation of a possible association between the above set criteria. Furthermore, the location and the extent of hull damage was extracted for all incidents, providing valuable insights into the resulting consequences for vessel integrity. These data are essential for estimating the accident’s impact on the viability of the ship, crew, and cargo. According to the main results obtained, significant correlations are deduced regarding the analyzed parameters. In collision accidents, these include the ship type, the location of the damage, visibility and age of the ship, the impact of the accident, and the type of casualty. In the case of grounding incidents, correlations emerge involving the type of ships, day/night period, the width of the resulting damage, the type of casualty, and the cause of accidents.

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference47 articles.

1. IMO Publication (2008). Casualty Investigation Code (Code of the International Standards and Recommended Practices for a Safety Investigation into a Marine Casualty or Marine Incident), IMO Publication. [2008 ed.].

2. EMSA European Maritime Safety Agency (2022, November 15). Available online: https://www.emsa.europa.eu/.

3. (2022, November 15). IMO Casualty Analysis Procedure (Document FSI 17/WP.1, Annex 2). Available online: https://wwwcdn.imo.org/localresources/en/OurWork/MSAS/Documents/CASUALTY%20ANALYSIS%20PROCEDURE.pdf.

4. Kristiansen, S., Koster, E., Schmidt, W.F., Olofsson, M., Guedes Soares, C., and Caridis, P. (1999). Proceedings Conference on Learning from Marine Incidents, Royal Institution of Naval Architects. Paper No.14.

5. Classification of human errors in grounding and collision accidents using the TRACEr taxonomy;Graziano;Saf. Sci.,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3