Over a decade of UAV incidents: A human factors analysis of causal factors.

Autor: Grindley B; Transportation Research Group, Boldrewood Innovation Campus, University of Southampton, United Kingdom. Electronic address: b.grindley@soton.ac., Phillips K; Defence Science and Technology Laboratory (Dstl), Salisbury, United Kingdom., Parnell KJ; Transportation Research Group, Boldrewood Innovation Campus, University of Southampton, United Kingdom., Cherrett T; Transportation Research Group, Boldrewood Innovation Campus, University of Southampton, United Kingdom., Scanlan J; Transportation Research Group, Boldrewood Innovation Campus, University of Southampton, United Kingdom., Plant KL; Transportation Research Group, Boldrewood Innovation Campus, University of Southampton, United Kingdom.
Jazyk: angličtina
Zdroj: Applied ergonomics [Appl Ergon] 2024 Nov; Vol. 121, pp. 104355. Date of Electronic Publication: 2024 Jul 18.
DOI: 10.1016/j.apergo.2024.104355
Abstrakt: This analysis examined systemic causes of Uncrewed Air Vehicle (UAV) accidents identifying operator, environmental, supervisory, and organisational factors through the use of the Human Factors Analysis and Classification System (HFACS). HFACS is a system-based analysis method for investigating the causal factors associated with accidents and incidents and has previously been used to reliably and systematically identify active and latent failures associated with both military and general aviation accidents. Whilst HFACS has previously been applied to UAV accidents, the last known application was conducted in 2014. Using reports retrieved from nine accident investigation organisations' databases, causal factors were coded against unsafe acts, preconditions, and failures at the supervisory, organisational, and environmental levels. Causal factors were assessed on 77 medium or large UAV mishaps/accidents that occurred over a 12-year period up to 2024. 42 mishap reports were deemed to involve a human factor as a causal factor. A large proportion of the mishaps contained factors attributed to Decision Errors at level 1 (Unsafe Acts) which was found to be associated with both the Technological Environment and Adverse Mental State at level 2 (Pre-conditions). Causal factors were identified at each of the other 3 levels (Supervisory, Organisational and External) with a number of emergent associations between causal factors. These data provide support for the identification and development of interventions aimed at improving the safety of organisations and advice of regulators for Uncrewed Air Systems.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024. Published by Elsevier Ltd.)
Databáze: MEDLINE
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