2020 Volume 5 Issue 2 Pages 39-46
Despite the maritime industry’s significant role in the global economy, human error is still the leading cause of maritime accidents. This study presents an assessment of human factors in 31 collision accident reports in the USA from 2010 – 2017, involving 50 ships. In this study, the categorization of Error-Producing Conditions (EPCs) from the Human Error Assessment and Reduction Technique (HEART) methodology to the 4M (man, machine, media, and management) framework, EPC–4M was carried out. This study aims to develop maritime accident assessment and reduction techniques in terms of technical understanding of the risk and safety linked to human factors. The most categorization of the collision data is a complex task requiring a high level of comprehension and skill. A total of 154 EPC – 4M categorizations were identified. The average of human error probability for USA collision accidents was determined to be 59%. The results of the study reinforce the idea that human and management interactions are the most common factors that lead to accidents.
