Statistical analysis of MAIB database for the period 1990-2016

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Navas de Maya, B. and Ahn, S.I. and Kurt, R.E.; Georgiev, Petar and Soares, Carlos Guedes, eds. (2019) Statistical analysis of MAIB database for the period 1990-2016. In: Sustainable Development and Innovations in Marine Technologies. CRC/Taylor & Francis Group, BGR. ISBN 9780367810085 (https://doi.org/10.1201/9780367810085-67)

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Abstract

Maritime transport has been threatened by ship accidents since its origins; hence, a safety increase is a decisive requirement within the maritime sector. Aiming to improve aforementioned safety, this paper performs systematic statistical analysis of ship accidents for the majority of vessel categories. Moreover, the data for this study is provided by the Marine Accident Investigation Branch (MAIB), which includes 38974 entries regarding maritime accidents between 1990 and 2016. Numerous past studies have emphasized the importance of accident statistics in risk quantification, as statistical analysis may demonstrate the trends for certain accidents. Hence, this paper first applies descriptive statistics in order to have a comprehensive overview of the database. Then, this paper perform some hypothesis tests to investigate the relations among some variables (e.g. the vessel category and the accident outcome or the vessel age and the loss of the vessel).

ORCID iDs

Navas de Maya, B. ORCID logoORCID: https://orcid.org/0000-0002-3595-9401, Ahn, S.I. ORCID logoORCID: https://orcid.org/0000-0001-9195-5475 and Kurt, R.E. ORCID logoORCID: https://orcid.org/0000-0002-5923-0703; Georgiev, Petar and Soares, Carlos Guedes
CORE (COnnecting REpositories)