Systematically investigating human and organisational factors in complex socio-technical systems by using the “SAfety FRactal ANalysis” method

Journal Article (2022)
Author(s)

Bart Accou (TU Delft - Safety and Security Science, European Union Agency for Railways)

Fabrice Carpinelli (European Union Agency for Railways)

Safety and Security Science
Copyright
© 2022 B.O.R. Accou, Fabrice Carpinelli
DOI related publication
https://doi.org/10.1016/j.apergo.2021.103662
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 B.O.R. Accou, Fabrice Carpinelli
Safety and Security Science
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
100
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Abstract

In order to manage the performance of socio-technical systems in a safe and sustainable way, the importance of looking at human and organisational factors (HOF) and their contribution to adverse events is widely recognised. In reality, however, the scope of accident and incident investigations stays usually limited to investigating the immediate causes and decision-making processes related to the accident sequence (e.g. Antonsen, 2009). Important factors, including design and planning decisions, contributing to accidents are hereby often overlooked and the weaknesses in the Safety Management System are hardly ever analysed. The SAfety FRactal ANalysis (SAFRAN) method (Accou and Reniers, 2019) can guide investigators in an intuitive and logic way, to ask questions that help to gain deeper understanding of the capability of organisations to monitor and manage safety critical variability. The essence of using the SAFRAN method for evaluating the performance of the different processes in a socio-technical system, is to approach them in a similar way, building on the generic elements that compose a SMS and systematically looking at the HOF that influenced actions and decision making, regardless of the hierarchical level they are situated at. This paper presents the SAFRAN method, specifying its HOF taxonomy and sharing examples of supporting HOF questions. The approach enables non-experts in HOF to systematically identify the different elements that introduce critical variability in performance and to recognise what additional expertise can be called upon when needed.

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