Shield human factors taxonomy and database for learning from aviation and maritime safety occurrences

Sybert Stroeve, Barry Kirwan, Osman Turan, Rafet Emek Kurt, Bas van Doorn, Luca Save, Patrick Jonk, Beatriz Navas de Maya, Andy Kilner, Ronald Verhoeven, Yasser B. A. Farag, Ali Demiral, Béatrice Bettignies-Thiebaux, Louis de Wolff, Vincent de Vries, Sung Il Ahn, Simone Pozzi

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
145 Downloads (Pure)

Abstract

Human factors (HF) in aviation and maritime safety occurrences are not always systematically analysed and reported in a way that makes the extraction of trends and comparisons possible in support of effective safety management and feedback for design. As a way forward, a taxonomy and data repository were designed for the systematic collection and assessment of human factors in aviation and maritime incidents and accidents, called SHIELD (Safety Human Incident and Error Learning Database). The HF taxonomy uses four layers: The top layer addresses the sharp end where acts of human operators contribute to a safety occurrence; the next layer concerns preconditions that affect human performance; the third layer describes decisions or policies of operations leaders that affect the practices or conditions of operations; and the bottom layer concerns influences from decisions, policies or methods adopted at an organisational level. The paper presents the full details, guidance and examples for the effective use of the HF taxonomy. The taxonomy has been effectively used by maritime and aviation stakeholders, as follows from questionnaire evaluation scores and feedback. It was found to offer an intuitive and well-documented framework to classify HF in safety occurrences.
Original languageEnglish
Article number14
Number of pages26
JournalSafety
Volume9
Issue number1
DOIs
Publication statusPublished - 7 Mar 2023

Keywords

  • human factors
  • taxonomy
  • database
  • aviation
  • maritime
  • accident analysis

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