2011
DOI: 10.1016/j.healthplace.2010.12.005
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Intra-urban societal vulnerability to extreme heat: The role of heat exposure and the built environment, socioeconomics, and neighborhood stability

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Cited by 376 publications
(202 citation statements)
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“…Vulnerability to the UHI effect is determined by a combination of factors, such as higher temperatures and climatological trends, demographic factors, quality of life and other socio-economic components, as well as by urban design characteristics [2,3,11,[38][39][40][41][42][43][44][45][46][47]. Therefore, data from the study area were classified according to three sets: climatic conditions/environmental data, including temperature, humidity, wind, rising sea levels, air pollutants; demographic data, including population change, demographic and socio-economic structure; and urban form data, including layout plan, building characteristics, land uses, densities, open spaces/Green Infrastructure.…”
Section: Data Analysis and Methods For The Definition Of The Vulnerabmentioning
confidence: 99%
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“…Vulnerability to the UHI effect is determined by a combination of factors, such as higher temperatures and climatological trends, demographic factors, quality of life and other socio-economic components, as well as by urban design characteristics [2,3,11,[38][39][40][41][42][43][44][45][46][47]. Therefore, data from the study area were classified according to three sets: climatic conditions/environmental data, including temperature, humidity, wind, rising sea levels, air pollutants; demographic data, including population change, demographic and socio-economic structure; and urban form data, including layout plan, building characteristics, land uses, densities, open spaces/Green Infrastructure.…”
Section: Data Analysis and Methods For The Definition Of The Vulnerabmentioning
confidence: 99%
“…All of these features could have resulted in the observed intensity of UHI and climate change. Given that the felt effects of climate change depend on gender, age, education and social class [2,11,12,[38][39][40][41][44][45][46][47], the Municipality of Kalamaria has a high degree of so-called "generic vulnerability" (Table 1). This is due to the fact that it features an increased percentage of elderly (over the age of 65), higher than the average in the Prefecture of Thessaloniki.…”
Section: Climatic Conditions/environmental Data and Demographic Datamentioning
confidence: 99%
“…The important question about the effects of minimum and maximum temperatures has rarely been evaluated using urban LST because there have been many fewer studies that consider LST and most of them exclusively used either daytime (e.g. Harlan et al 2013) or nighttime data (Uejio et al 2011). One exception was Laaidi et al (2012), who examined minimum, mean, and maximum surface temperatures, and found that minimum temperature was associated with heat deaths among the elderly during a heat wave in Paris.…”
Section: Introductionmentioning
confidence: 99%
“…Freetown has a total area of 357 km 2 and a population of 772,873, constituting 15.53% of the total Sierra Leonean population [33]. From the projected population of local administrative data from 2005 to 2014 (http://statistics.sl), out of 6,348,350 populations in Sierra Leone, 27.14% lives in urban areas, with 16.4% living in Freetown and 4% living in Bo [33]. In Sierra Leone, the national census should be done once every 10 years.…”
Section: Study Areamentioning
confidence: 99%