SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Marino M, Cavallaro L, Castro E, Musumeci RE, Martignoni M, Roman F, Foti E. Data Brief 2023; 48: e109127.

Copyright

(Copyright © 2023, Elsevier Publishing)

DOI

10.1016/j.dib.2023.109127

PMID

37139115

PMCID

PMC10149327

Abstract

In the last 15 years, the number of vessels in the world fleet has grown by around 53% and their gross tonnage has increased by 47%, with a consequent significant increment of marine accidents worldwide. Accident database are the basic resource for risk assessment methods to help decision-makers to enact strategies and undergo hazard and vulnerability mitigation measures. Understanding ship accidents distribution in terms of involved GT, typical age of the affected vessels, category of the ships, as well as distribution of underlying causes and consequences is the first necessary step to improve accident mitigation actions to be implemented for future assessments. In the present work, the results of an analysis on a database of vessel accidents in Mediterranean and worldwide port areas developed within the framework of the project ISY PORT (Integrated SYstem for navigation risk mitigation in PORTs) is herein presented. The distribution of accidents was analyzed in terms of relevant vessel characteristics i.e. Grosse Tonnage (GT), age at the time of the accident, ship's category, causality event, weather conditions and number of fatalities/injuries/lost at sea. The database can be used as a basis for maritime risk assessment methods and for calibration of real-time ship collision avoidance scenarios.


Language: en

Keywords

Risk assessment; Collision avoidance; Maritime safety; Safe navigation

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print