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Article: The Heat Exposure Integrated Deprivation Index (HEIDI): A data-driven approach to quantifying neighborhood risk during extreme hot weather

TitleThe Heat Exposure Integrated Deprivation Index (HEIDI): A data-driven approach to quantifying neighborhood risk during extreme hot weather
Authors
KeywordsHeat vulnerability index
Case-crossover analysis
Spatial mapping
Hot weather mortality
Index performance
Public health
Issue Date2017
Citation
Environment International, 2017, v. 109, p. 42-52 How to Cite?
Abstract© 2017 The Authors Mortality attributable to extreme hot weather is a growing concern in many urban environments, and spatial heat vulnerability indexes are often used to identify areas at relatively higher and lower risk. Three indexes were developed for greater Vancouver, Canada using a pool of 20 potentially predictive variables categorized to reflect social vulnerability, population density, temperature exposure, and urban form. One variable was chosen from each category: an existing deprivation index, senior population density, apparent temperature, and road density, respectively. The three indexes were constructed from these variables using (1) unweighted, (2) weighted, and (3) data-driven Heat Exposure Integrated Deprivation Index (HEIDI) approaches. The performance of each index was assessed using mortality data from 1998–2014, and the maps were compared with respect to spatial patterns identified. The population-weighted spatial correlation between the three indexes ranged from 0.68–0.89. The HEIDI approach produced a graduated map of vulnerability, whereas the other approaches primarily identified areas of highest risk. All indexes performed best under extreme temperatures, but HEIDI was more useful at lower thresholds. Each of the indexes in isolation provides valuable information for public health protection, but combining the HEIDI approach with unweighted and weighted methods provides richer information about areas most vulnerable to heat.
Persistent Identifierhttp://hdl.handle.net/10722/265718
ISSN
2017 Impact Factor: 7.297
2015 SCImago Journal Rankings: 2.684
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKrstic, Nikolas-
dc.contributor.authorYuchi, Weiran-
dc.contributor.authorHo, Hung Chak-
dc.contributor.authorWalker, Blake B.-
dc.contributor.authorKnudby, Anders J.-
dc.contributor.authorHenderson, Sarah B.-
dc.date.accessioned2018-12-03T01:21:29Z-
dc.date.available2018-12-03T01:21:29Z-
dc.date.issued2017-
dc.identifier.citationEnvironment International, 2017, v. 109, p. 42-52-
dc.identifier.issn0160-4120-
dc.identifier.urihttp://hdl.handle.net/10722/265718-
dc.description.abstract© 2017 The Authors Mortality attributable to extreme hot weather is a growing concern in many urban environments, and spatial heat vulnerability indexes are often used to identify areas at relatively higher and lower risk. Three indexes were developed for greater Vancouver, Canada using a pool of 20 potentially predictive variables categorized to reflect social vulnerability, population density, temperature exposure, and urban form. One variable was chosen from each category: an existing deprivation index, senior population density, apparent temperature, and road density, respectively. The three indexes were constructed from these variables using (1) unweighted, (2) weighted, and (3) data-driven Heat Exposure Integrated Deprivation Index (HEIDI) approaches. The performance of each index was assessed using mortality data from 1998–2014, and the maps were compared with respect to spatial patterns identified. The population-weighted spatial correlation between the three indexes ranged from 0.68–0.89. The HEIDI approach produced a graduated map of vulnerability, whereas the other approaches primarily identified areas of highest risk. All indexes performed best under extreme temperatures, but HEIDI was more useful at lower thresholds. Each of the indexes in isolation provides valuable information for public health protection, but combining the HEIDI approach with unweighted and weighted methods provides richer information about areas most vulnerable to heat.-
dc.languageeng-
dc.relation.ispartofEnvironment International-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectHeat vulnerability index-
dc.subjectCase-crossover analysis-
dc.subjectSpatial mapping-
dc.subjectHot weather mortality-
dc.subjectIndex performance-
dc.subjectPublic health-
dc.titleThe Heat Exposure Integrated Deprivation Index (HEIDI): A data-driven approach to quantifying neighborhood risk during extreme hot weather-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.envint.2017.09.011-
dc.identifier.pmid28934628-
dc.identifier.scopuseid_2-s2.0-85029475062-
dc.identifier.volume109-
dc.identifier.spage42-
dc.identifier.epage52-
dc.identifier.eissn1873-6750-
dc.identifier.isiWOS:000413744800005-

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