Shipping Accidents Dataset: Data-Driven Directions for Assessing Accident’s Impact and Improving Safety Onboard

• Published in: Data (Basel) Vol. 6; no. 12; p. 129
• Main Authors: Panagiotidis, Panagiotis, Giannakis, Kyriakos, Angelopoulos, Nikolaos, Liapis, Angelos
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2021
• Subjects: Accident investigations; accident reports; Accidents; contingency plans; dataset; Datasets; Decision making; Emergency management; Emergency procedures; Human error; Human factors; incident’s impact; Machine learning; Management systems; marine accidents; Meteorological data; Passengers; Safety management; Sensors; Ships; Statistical analysis; Subject specialists; Unstructured data

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...