TY  - JOUR
PY  - 2024//
TI  - Identification of maladaptive behavioural patterns in response to extreme weather events
JO  - Scientific reports
A1  - Eusse-Villa, Luisa
A1  - Bonardi Pellizzari, Carolina
A1  - Franceschinis, Cristiano
A1  - Thiene, Mara
A1  - Borga, Marco
A1  - Scolobig, Anna
SP  - e10563
EP  - e10563
VL  - 14
IS  - 1
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 2045-2322
UR  - http://dx.doi.org/10.1038/s41598-024-60632-3
ID  - ref1
ER  -