Gwynne, S, Amos, M, Kinateder, M et al. (4 more authors) (2020) The future of evacuation drills: Assessing and enhancing evacuee performance. Safety Science, 129. 104767. p. 104767. ISSN 0925-7535
Abstract
Evacuation drills are generally the main mechanism for improving or measuring occupant performance in emergency situations, but their effectiveness is often hard to measure, and there is limited evidence for sustained training benefits. However, innovations in technology (e.g., augmented/virtual reality, novel sensors and wearable tech) offer (when combined with new approaches to designing and delivering drills) significant opportunities for a “next generation” of evidence-based evacuation drills. In this paper, we present the findings of a recent trans-national research project; we establish the main limitations of existing drills, propose a framework for the assessment of both training and evaluation aspects of drills, make a number of recommendations, and suggest a programme of work for their implementation. The paper, therefore, provides a conceptual foundation for future work which will focus on (1) establishing an evidence-based methodology for assessing evacuation drills (and alternatives), (2) harnessing novel objective and automatable approaches to data capture/analytics in order to better characterize performance, (3), developing alternatives to the current drill model, based on emerging technologies, and (4) developing guidance for regulatory bodies on the costs and benefits of each approach for different scenarios.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Crown Copyright © 2020 Published by Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Safety Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Evacuation drill; Protocol; Training; Assessment; AR/VR; Simulation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Organizational Behaviour (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Jun 2020 13:07 |
Last Modified: | 13 Nov 2021 01:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ssci.2020.104767 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162110 |