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Advisor(s)
Abstract(s)
Regarding the predisposition of individuals to change when confronted with future climate
scenarios, it is necessary to understand the perception of the groups under analysis and how to
engage with society to collectively act toward climate change mitigation. A question remains to
be answered: how to ensure that people engage, participate, and gain awareness of the undergoing problem that urban climate change poses for the future of cities’ management? This research
intends to contribute to solving this question by raising another question: “How willing are residents of the Alvalade neighborhood (Lisbon) to change their behavior and way of life when faced
with climate change scenarios?” We present a methodology using microclimatic modeling with
ENVI-met and questionnaires for the resident community. The present and future local climate
scenarios (representing a present hot day versus the extreme IPCC RCP 8.5 scenario) were presented
to a set of residents. These figures show the projected UTCI (Universal Thermal Climate Index) in a
dramatic but accurate aggravated way. The inquiries allowed us to conclude that people are more
aware of local climate change and health risks from extremely hot summer weather, but they continue
to resist adopting behavior change for adaptation, although most of them declared this could be
important to tackle climate change. The second conclusion is that people think that local authorities
should be more active than themselves and will have greater responsibility for climate change adaptation and interventions. In times of climate crisis, the participation of the resident community can be
an important help in decision making and finding measures to mitigate adverse climate effects in
urban environments.
Description
Keywords
Urban sustainability Climate change scenarios Willingness to adapt UTCI
Pedagogical Context
Citation
Matias, M., Lopes, S. & Lopes, A. (2023). The Climate of My Neighborhood: Households’ Willingness to Adapt to Urban Climate Change. Land, 12(4), 856. http://dx.doi.org/10.3390/land12040856
Publisher
MDPI
