The future of evacuation drills: Assessing and enhancing evacuee performance. (September 2020)

• Record Type: Journal Article
• Authors: Gwynne, Steve; Amos, Martyn; Kinateder, Max; Bénichou, Noureddine; Boyce, Karen; Natalie van der Wal, C.; Ronchi, Enrico
• Is Part Of: Safety science. Volume 129(2020)
• Publication Date: 2020-09
• Subjects: Evacuation drill -- Protocol -- Training -- Assessment -- AR/VR -- Simulation; Industrial accidents -- Periodicals; Accident Prevention -- Periodicals; Safety -- Periodicals; Travail -- Accidents -- Périodiques; 363.11
• DOI: 10.1016/j.ssci.2020.104767
• Languages: English
• ISSNs: 0925-7535

Abstract

Highlights: This paper summarises the results of a UK/Canada funded project on "next generation" evacuation drills. We provide the results of a community consultation exercise. This examined alternatives to evacuation drills, and established comparison criteria. This work lays the foundation for enhanced evidence-based evacuation drills. 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.