Shipping Accidents Dataset: Data-Driven Directions for Assessing Accident’s Impact and Improving Safety Onboard
- Details
- Category: Accidentes
- Published on Wednesday, 27 July 2022 05:05
- Written by Administrator2
- Hits: 679
Panagiotis Panagiotidis * , Kyriakos Giannakis, Nikolaos Angelopoulos and Angelos Liapis
Citation: Panagiotidis, P.; Giannakis,
K.; Angelopoulos, N.; Liapis, A.
Shipping Accidents Dataset:
Data-Driven Directions for Assessing
Accident’s Impact and Improving
Safety Onboard.
Data 2021, 6, 129.
https://doi.org/10.3390/data6120129
Academic Editor: Giuseppe Ciaburro
Received: 22 October 2021
Accepted: 29 November 2021
Published: 3 December 2021
Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affiliations.
Copyright: © 2021 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article distributed under the terms and conditions of the Creative Commons
Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Konnekt-able Technologies Ltd., X91 W0XW Waterford, Ireland;
This email address is being protected from spambots. You need JavaScript enabled to view it.
(K.G.);
This email address is being protected from spambots. You need JavaScript enabled to view it.
(N.A.);
This email address is being protected from spambots. You need JavaScript enabled to view it.
(A.L.)
* Correspondence:
This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract: Recent tragic marine incidents indicate that more efficient safety procedures and emergency management systems are needed.
During the 2014–2019 period, 320 accidents cost 496 lives, and 5424 accidents caused 6210 injuries.
Ideally, we need historical data from real accident cases of ships to develop data-driven solutions.
According to the literature, the most critical factor to the post-incident management phase is human error.
However, no structured datasets record the crew’s actions during an incident and the human factors that contributed to its occurrence. To overcome the limitations mentioned above, we decided to utilise the unstructured information from accident reports conducted by governmental organisations to create a new, well-structured dataset of maritime accidents and provide intuitions for its usage.
Our dataset contains all the information that the majority of the marine datasets include, such as the place, the date, and the conditions during the post-incident phase, e.g., weather data. Additionally, the proposed dataset contains attributes related to each incident’s environmental/financial impact, as well as a concise description of the post-incident events, highlighting the crew’s actions and the human factors that contributed to the incident. We utilise this dataset to predict the incident’s impact and provide data-driven directions regarding the improvement of the post-incident safety procedures for specific types of ships.
Shipping Accidents Dataset: Data-Driven Directions for
Assessing Accident’s Impact and Improving Safety Onboard