Learning from accidents: Interactions between human factors, technology and organisations as a central element to validate risk studies

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Raphael Moura
  • Michael Beer
  • Edoardo Patelli
  • John Lewis
  • Franz Knoll

Externe Organisationen

  • The University of Liverpool
  • Tongji University
  • Agency for Petroleum, Natural Gas and Biofuels (ANP)
  • NCK Inc.
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)196-214
Seitenumfang19
FachzeitschriftSafety Science
Jahrgang99
AusgabenummerB
Frühes Online-Datum11 Mai 2017
PublikationsstatusVeröffentlicht - Nov. 2017

Abstract

Many industries are subjected to major hazards, which are of great concern to stakeholders groups. Accordingly, efforts to control these hazards and manage risks are increasingly made, supported by improved computational capabilities and the application of sophisticated safety and reliability models. Recent events, however, have revealed that apparently rare or seemingly unforeseen scenarios, involving complex interactions between human factors, technologies and organisations, are capable of triggering major catastrophes. The purpose of this work is to enhance stakeholders’ trust in risk management by developing a framework to verify if tendencies and patterns observed in major accidents were appropriately contemplated by risk studies. This paper first discusses the main accident theories underpinning major catastrophes. Then, an accident dataset containing contributing factors from major events occurred in high-technology industrial domains serves as basis for the application of a clustering and data mining technique (self-organising maps – SOM), allowing the exploration of accident information gathered from in-depth investigations. Results enabled the disclosure of common patterns in major accidents, leading to the development of an attribute list to validate risk assessment studies to ensure that the influence of human factors, technological issues and organisational aspects was properly taken into account.

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Learning from accidents: Interactions between human factors, technology and organisations as a central element to validate risk studies. / Moura, Raphael; Beer, Michael; Patelli, Edoardo et al.
in: Safety Science, Jahrgang 99, Nr. B, 11.2017, S. 196-214.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Moura R, Beer M, Patelli E, Lewis J, Knoll F. Learning from accidents: Interactions between human factors, technology and organisations as a central element to validate risk studies. Safety Science. 2017 Nov;99(B):196-214. Epub 2017 Mai 11. doi: 10.1016/j.ssci.2017.05.001
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