@article{c93b0f5e5b3347fb84e56642780c4b05,
title = "Extreme heat vulnerability in Phoenix, Arizona: A comparison of all-hazard and hazard-specific indices with household experiences",
abstract = "Practitioners and researchers use vulnerability indices to understand the conditions that influence hazard risk. However, there has been little research on how well such indices depict household-scale vulnerability to specific hazards. We examined relationships between an all-hazard index and a hazard-specific index with household-level adaptive resources, adaptive behaviors, proximate sensitivities, and self-reported health outcomes related to extreme heat. Household measures were drawn from a stratified random sample survey conducted in Phoenix, Arizona, USA (n = 163). The results point to different experiences between households in more and less heat vulnerable areas. The largest differences between households stratified by the hazard-specific index (Heat Vulnerability Index) primarily involved adaptive resources and behaviors, whereas indicators of proximate sensitivity were more strongly differentiated by the all-hazard index (Social Vulnerability Index). Differences in health outcomes between more and less vulnerable neighborhoods were more evident using HVI than SoVI, although effect sizes using either index were small and confidence intervals were wide. The relationship between vulnerability indices and several survey measures varied across four study sites. The specific ways in which more and less vulnerable communities differ from one another varies based on the adaptation, sensitivity, or outcome measure of interest, location within the city, and choice of vulnerability index.",
keywords = "Adaptation, Climate, Extreme heat, Household, Survey, Vulnerability",
author = "Watkins, {Lance E.} and Wright, {Mary K.} and Kurtz, {Liza C.} and Chakalian, {Paul M.} and Mallen, {Evan S.} and Harlan, {Sharon L.} and Hondula, {David M.}",
note = "Funding Information: This work was supported by the National Science Foundation [SES-1520803].This work is derived from the U.S. National Science Foundation-supported 3HEAT project [SES -520803] led by Dr. Brian Stone of the Georgia Institute of Technology, Dr. Marie O'Neill of the University of Michigan, and Dr. Matei Georgescu of Arizona State University. We appreciate the collaboration with them and colleagues across the entire project. Perspectives from Drs. Larissa Larsen and Carina Gronlund at Michigan and Dr. Kevin Lanza from Georgia Tech were particularly helpful in crafting this analysis. We also thank Dr. David Sailor and the Arizona State University Urban Climate Research Center for generous use of lab space and materials. Funding Information: This work is derived from the U.S. National Science Foundation-supported 3HEAT project [ SES -520803 ] led by Dr. Brian Stone of the Georgia Institute of Technology, Dr. Marie O'Neill of the University of Michigan, and Dr. Matei Georgescu of Arizona State University. We appreciate the collaboration with them and colleagues across the entire project. Perspectives from Drs. Larissa Larsen and Carina Gronlund at Michigan and Dr. Kevin Lanza from Georgia Tech were particularly helpful in crafting this analysis. We also thank Dr. David Sailor and the Arizona State University Urban Climate Research Center for generous use of lab space and materials. Funding Information: This work was supported by the National Science Foundation [ SES-1520803 ]. Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",
year = "2021",
month = jun,
doi = "10.1016/j.apgeog.2021.102430",
language = "English (US)",
volume = "131",
journal = "Applied Geography",
issn = "0143-6228",
publisher = "Elsevier BV",
}