“…Increased heat exposure in specific neighborhoods within urban areas is correlated with a lack of vegetation, larger fractions of areas covered in impermeable surfaces, lower socio‐economic status and larger proportion of populations from minority racial groups (e.g., Benz & Burney, 2021 ; Hsu et al., 2021 ; Huang & Cadenasso, 2016 ; Manware et al., 2022 ; Parsons et al., 2023 ). Exposure to heat extremes is associated with elevated risk of premature death (Ebi et al., 2021 ), and therefore the health impact of increased exposures in neighborhoods with strong urban heat islands is widely assumed to be damaging (Stevens et al., 2021 ) or modeled as damaging by applying the same superlinear exposure‐response function to all populations in a region (Heaviside et al., 2016 ).…”
For the population of a given US city, the risk of premature death associated with heat exposure increases as temperatures rise, but risks in hotter cities are generally lower than in cooler cities at equivalent temperatures due to factors such as acclimatization. Those living in especially hot neighborhoods within cities might therefore suffer much more than average if such adaptation is only at the city‐wide level, whereas they might not experience greatly increased risk if adjustment is at the neighborhood level. To compare these possibilities, we use high spatial resolution temperature data to evaluated heat‐related deaths assuming either adjustment at the city‐wide or at the neighborhood scale in 10 large US cities. On average, we find that if inhabitants are adjusted to their local conditions, a neighborhood that was 10°C hotter than a cooler one would experience only about 1.0–1.5 excess heat deaths per year per 100,000 persons. By contrast, if inhabitants are acclimatized to city‐wide temperatures, the hotter neighborhood would experience about 15 excess deaths per year per 100,000 persons. Using idealized analyses, we demonstrate that current city‐wide epidemiological data do not differentiate between these differing adjustments. Given the very large effects of assumptions about neighborhood‐level acclimatization found here, as well as the fact that current literature is conflicting on the spatial scale of acclimatization, more neighborhood‐level epidemiological data are urgently needed to determine the health impacts of variations in heat exposure within urban areas, better constrain projected changes, and inform mitigation efforts.
“…Increased heat exposure in specific neighborhoods within urban areas is correlated with a lack of vegetation, larger fractions of areas covered in impermeable surfaces, lower socio‐economic status and larger proportion of populations from minority racial groups (e.g., Benz & Burney, 2021 ; Hsu et al., 2021 ; Huang & Cadenasso, 2016 ; Manware et al., 2022 ; Parsons et al., 2023 ). Exposure to heat extremes is associated with elevated risk of premature death (Ebi et al., 2021 ), and therefore the health impact of increased exposures in neighborhoods with strong urban heat islands is widely assumed to be damaging (Stevens et al., 2021 ) or modeled as damaging by applying the same superlinear exposure‐response function to all populations in a region (Heaviside et al., 2016 ).…”
For the population of a given US city, the risk of premature death associated with heat exposure increases as temperatures rise, but risks in hotter cities are generally lower than in cooler cities at equivalent temperatures due to factors such as acclimatization. Those living in especially hot neighborhoods within cities might therefore suffer much more than average if such adaptation is only at the city‐wide level, whereas they might not experience greatly increased risk if adjustment is at the neighborhood level. To compare these possibilities, we use high spatial resolution temperature data to evaluated heat‐related deaths assuming either adjustment at the city‐wide or at the neighborhood scale in 10 large US cities. On average, we find that if inhabitants are adjusted to their local conditions, a neighborhood that was 10°C hotter than a cooler one would experience only about 1.0–1.5 excess heat deaths per year per 100,000 persons. By contrast, if inhabitants are acclimatized to city‐wide temperatures, the hotter neighborhood would experience about 15 excess deaths per year per 100,000 persons. Using idealized analyses, we demonstrate that current city‐wide epidemiological data do not differentiate between these differing adjustments. Given the very large effects of assumptions about neighborhood‐level acclimatization found here, as well as the fact that current literature is conflicting on the spatial scale of acclimatization, more neighborhood‐level epidemiological data are urgently needed to determine the health impacts of variations in heat exposure within urban areas, better constrain projected changes, and inform mitigation efforts.
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