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'Accident investigation in the wild' - a small-scale, field-based evaluation of the STAMP method for accident analysis

journal contribution
posted on 2016-02-05, 14:04 authored by Peter Underwood, Patrick WatersonPatrick Waterson, Graham R. Braithwaite
Little information is currently available about the application of systemic accident analysis methods by practitioners and whether their analysis needs are met. This study provides an insight into this issue by obtaining a practitioner evaluation of STAMP and understanding how the method’s usage characteristics affect its use in a live investigation scenario. Six participants took part in a workshop to analyse data collected during a (high-fidelity, partly field-based) simulated investigation exercise using STAMP. The analysis outputs were assessed, along with the participants’ questionnaire and focus group responses pertaining to their experiences of using the method. When combining the mixed methods data generated during the study, a number of observations regarding the participants’ experiences of using STAMP were made. However, improving the method’s usability and graphical output were highlighted as key developments that may improve its acceptance by practitioners.

History

School

  • Design

Published in

SAFETY SCIENCE

Volume

82

Pages

129 - 143 (15)

Citation

UNDERWOOD, P., WATERSON, P. and BRAITHWAITE, G.R., 2016. 'Accident investigation in the wild' - a small-scale, field-based evaluation of the STAMP method for accident analysis. Safety Science, 82, pp. 129-143.

Publisher

© Elsevier

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2015-08-26

Publication date

2015-09-25

Copyright date

2016

Notes

This paper is in closed access.

ISSN

0925-7535

Language

  • en

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