TY - CHAP
T1 - The construction of a Heat Vulnerability Index by means of the Composite Indicator approach: a case study for Friuli Venezia Giulia Region, Italy
AU - Pagani, Laura
AU - Zanarotti, Maria Chiara
AU - Habus, Anja
PY - 2024
Y1 - 2024
N2 - Last decades have seen increasing consensus towards the issue of climate
change and rising awareness of the implied responsibility of human activity. With
growing global warming, extreme climate events like heat waves have increased
in duration, frequency and intensity leading to higher heat-related morbidity and
mortality rates. In this context, heat vulnerability assessments play an important
role supporting decision-makers in implementing targeted mitigation and prevention
actions. With this motivation, this work develops a heat vulnerability index by
means of the Composite Indicator techniques to depict heat vulnerability in the Friuli
Venezia Giulia region at the census tract level. The results show that heat vulnerability
follows a spatial pattern, where most vulnerable census tracts are located in urbanised
and densely populated areas, lower risk is observed in rural areas and lowest danger
in mountainous areas. The Performance Interval approach confirms that these results
do not depend on the aggregation method used to construct the index
AB - Last decades have seen increasing consensus towards the issue of climate
change and rising awareness of the implied responsibility of human activity. With
growing global warming, extreme climate events like heat waves have increased
in duration, frequency and intensity leading to higher heat-related morbidity and
mortality rates. In this context, heat vulnerability assessments play an important
role supporting decision-makers in implementing targeted mitigation and prevention
actions. With this motivation, this work develops a heat vulnerability index by
means of the Composite Indicator techniques to depict heat vulnerability in the Friuli
Venezia Giulia region at the census tract level. The results show that heat vulnerability
follows a spatial pattern, where most vulnerable census tracts are located in urbanised
and densely populated areas, lower risk is observed in rural areas and lowest danger
in mountainous areas. The Performance Interval approach confirms that these results
do not depend on the aggregation method used to construct the index
KW - climate change, heat waves, composite indicator, heat vulnerability index
KW - climate change, heat waves, composite indicator, heat vulnerability index
UR - http://hdl.handle.net/10807/279982
U2 - 10.1007/978-3-031-65699-6_5
DO - 10.1007/978-3-031-65699-6_5
M3 - Chapter
SN - 978-3-031-65698-9
VL - 467
T3 - SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS
SP - 51
EP - 67
BT - Advanced Methods in Statistics, Data Science and Related Applications
A2 - Matilde Bini, Antonio Balzanella, Lucio Masserini, Rosanna Verde
ER -