Identification of maladaptive behavioural patterns in response to extreme weather events.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
08 May 2024
08 May 2024
Historique:
received:
05
10
2023
accepted:
25
04
2024
medline:
9
5
2024
pubmed:
9
5
2024
entrez:
8
5
2024
Statut:
epublish
Résumé
Human behaviour has gained recognition as a critical factor in addressing climate change and its impacts. With extreme weather events posing risks to vulnerable communities, understanding cognitive processes driving behaviours becomes essential for effective risk communication. This study focuses on the 2018 "Vaia" storm, which brought unprecedented precipitation and wind velocity to the mountainous regions of North-eastern Italy. Drawing upon the Protection Motivation Theory (PMT) framework, we employ probabilistic models to identify distinct groups with similar behavioural profiles. By administering a web-based survey to 1500 residents affected by the event, we find that threat appraisal is more influential in shaping protective behaviours than coping appraisal. Our findings indicate that by enhancing coping appraisals and discouraging non-protective measures, we can actively mitigate maladaptive responses and promote the adoption of effective adaptation strategies.
Identifiants
pubmed: 38719938
doi: 10.1038/s41598-024-60632-3
pii: 10.1038/s41598-024-60632-3
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
10563Informations de copyright
© 2024. The Author(s).
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