2012
DOI: 10.1016/j.apgeog.2012.04.006
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Developing an applied extreme heat vulnerability index utilizing socioeconomic and environmental data

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Cited by 254 publications
(184 citation statements)
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References 72 publications
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“…Although the literature shows that the contribution of social indices differs and that autocorrelation exists among them, there is no commonly acknowledged standard for each index and for this reason, we combined these indices with equal weight (Cutter et al 2003;Reid et al 2009;Johnson et al 2012). Pixels that mean population density is lower than 1/km 2 are excluded from the calculation.…”
Section: Socio-economic Vulnerabilitymentioning
confidence: 99%
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“…Although the literature shows that the contribution of social indices differs and that autocorrelation exists among them, there is no commonly acknowledged standard for each index and for this reason, we combined these indices with equal weight (Cutter et al 2003;Reid et al 2009;Johnson et al 2012). Pixels that mean population density is lower than 1/km 2 are excluded from the calculation.…”
Section: Socio-economic Vulnerabilitymentioning
confidence: 99%
“…General vulnerability analysis of sustainability assessments includes exposure, sensitivity, resilience, and adaptive capacity (Turner et al 2003;van Vuuren et al 2012). Several vulnerability indices of environmental hazards have been proposed, such as the SoVI (Cutter et al 2003), EHVI (Johnson et al 2012), and PVI (Adger 2006). A number of social vulnerability factors have been identified in local-or city-level heat health risk assessments, such as age, poverty, social isolation, education, ethnicity, and access to transportation (Schwartz 2005;Semenza et al 1996;Vescovi et al 2005).…”
Section: Vulnerability Of Different Populationsmentioning
confidence: 99%
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“…However, extensive scale-dependent variation in LST is expected throughout any given day due to different speeds of warming within the complex spatial structure of urban environments (Li et al 2011;Weng et al 2011). Furthermore, the human consequences of urban LST warming are not well characterized at very fine spatial resolutions, such as individual residential parcels, although several studies have found LST variation affects spatial variability in the risk of heatrelated mortality at neighborhood scales (Johnson et al 2009;Buscail et al 2012;Hondula et al 2012;Johnson et al 2012;Harlan et al 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Thermal imagery, for example, can be used to distinguish areas of the city that have increased thermal characteristics through calculation of land surface temperature (LST) [ 27 ]. This technique is used to identify the UHI or the hot spots within a city that are disproportionally warmer than the surrounding features.…”
Section: Satellite-based Remote Sensing As a Surveillance Toolmentioning
confidence: 99%