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\r\nchange and rising awareness of the implied responsibility of human activity. With\r\ngrowing global warming, extreme climate events like heat waves have increased\r\nin duration, frequency and intensity leading to higher heat-related morbidity and\r\nmortality rates. In this context, heat vulnerability assessments play an important\r\nrole supporting decision-makers in implementing targeted mitigation and prevention\r\nactions. With this motivation, this work develops a heat vulnerability index by\r\nmeans of the Composite Indicator techniques to depict heat vulnerability in the Friuli\r\nVenezia Giulia region at the census tract level. The results show that heat vulnerability\r\nfollows a spatial pattern, where most vulnerable census tracts are located in urbanised\r\nand densely populated areas, lower risk is observed in rural areas and lowest danger\r\nin mountainous areas. The Performance Interval approach confirms that these results\r\ndo not depend on the aggregation method used to construct the index
AB - Last decades have seen increasing consensus towards the issue of climate\r\nchange and rising awareness of the implied responsibility of human activity. With\r\ngrowing global warming, extreme climate events like heat waves have increased\r\nin duration, frequency and intensity leading to higher heat-related morbidity and\r\nmortality rates. In this context, heat vulnerability assessments play an important\r\nrole supporting decision-makers in implementing targeted mitigation and prevention\r\nactions. With this motivation, this work develops a heat vulnerability index by\r\nmeans of the Composite Indicator techniques to depict heat vulnerability in the Friuli\r\nVenezia Giulia region at the census tract level. The results show that heat vulnerability\r\nfollows a spatial pattern, where most vulnerable census tracts are located in urbanised\r\nand densely populated areas, lower risk is observed in rural areas and lowest danger\r\nin mountainous areas. The Performance Interval approach confirms that these results\r\ndo not depend on the aggregation method used to construct the index
KW - climate change
KW - composite indicator
KW - heat vulnerability index
KW - heat waves
KW - climate change
KW - composite indicator
KW - heat vulnerability index
KW - heat waves
UR - https://publicatt.unicatt.it/handle/10807/279982
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85208065820&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85208065820&origin=inward
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
SP - 51
EP - 67
BT - Advanced Methods in Statistics, Data Science and Related Applications
PB - Spinger
ER -