Learning from accidents

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

verfasst von

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

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.

Organisationseinheit(en)

Institut für Risiko und Zuverlässigkeit

Externe Organisation(en)

The University of Liverpool
Tongji University
Agency for Petroleum, Natural Gas and Biofuels (ANP)
NCK Inc.

Typ

Artikel

Journal

Safety Science

Band

99

Seiten

196-214

Anzahl der Seiten

19

ISSN

0925-7535

Publikationsdatum

11.2017

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Sicherheit, Risiko, Zuverlässigkeit und Qualität, Sicherheitsforschung, Öffentliche Gesundheit, Umwelt- und Arbeitsmedizin

Ziele für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

Elektronische Version(en)

https://strathprints.strath.ac.uk/70388/1/Moura_etal_SS2017_Learning_accidents_interactions_between_human_factors_technology_organisations_central_element.pdf (Zugang: Offen)
https://doi.org/10.1016/j.ssci.2017.05.001 (Zugang: Geschlossen)