Abstract
This paper describes the application of a new methodological approach developed within the SAFEMODE project intending to improve the results of human factors analysis obtained from the existing investigation methods. This set of methodologies comprehends, on the one hand, models and techniques already used in the aviation domain, a benchmark for safety practices, and on the other hand, a new framework and taxonomy developed within the SAFEMODE projects. The combined use of these methodologies has been applied to analyse accidents and near misses in a company operating with drones to demonstrate its usability in the drone domain. The results confirmed the effectiveness of the methodologies in finding an increased number of unsafe acts, contextual preconditions and latent organisational factors involved in different accidents, near misses and occurrences, compared to a more “traditional” approach. The use of these techniques has already been recognised as very promising in the maritime domain where such a study had already been successfully conducted.
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