Taylor, A. orcid.org/0000-0002-8949-1234, Summers, B., Domingos, S. et al. (2 more authors) (2024) The effect of likelihood and impact information on public response to severe weather warnings. Risk Analysis, 44 (5). pp. 1237-1253. ISSN 0272-4332
Abstract
Meteorological services are increasingly moving away from issuing weather warnings based on the exceedance of meteorological thresholds (e.g. windspeed), towards risk-based (or ‘impact-based’) approaches. The UK Met Office’s National Severe Weather Warning Service has been a pioneer of this approach, issuing yellow, amber and red warnings based on an integrated evaluation of information about likelihood of occurrence and potential impact severity. However, while this approach is inherently probabilistic, probabilistic information does not currently accompany public weather warning communications. In this study we explored whether providing information about the likelihood and impact severity of forecast weather affected subjective judgements of likelihood, severity, concern, trust in forecast and intention to take protective action. In a mixed-factorial online experiment 550 UK residents from two regions with different weather profiles were randomly assigned to 1 of 3 warning format conditions (Colour-only, Text, Risk Matrix), and presented with three warnings: high-probability/moderate-impact (amber HPMI); low-probability/high-impact (amber LPHI); high-probability/high-impact (red HPHI). Amongst those presented with information about probability and impact severity, red high-likelihood/high-impact warnings elicited the strongest ratings on all dependent variables, followed by amber high-probability/moderate-impact warnings. Amber low-likelihood/high-impact warnings elicited the lowest perceived likelihood, severity, concern, trust and intention to take protective responses. Taken together, this indicates that UK residents are sensitive to probabilistic information for amber warnings, and that communicating that severe events are unlikely to occur reduces perceived risk, trust in the warning, and behavioural intention, even though potential impacts could be severe. We discuss the practical implications of this for weather warning communication.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | impact based forecasts; risk communication; risk perception; weather risk; weather warnings |
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 Decision Research (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Sep 2023 14:22 |
Last Modified: | 19 Nov 2024 14:27 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1111/risa.14222 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203003 |