Social Inequities in Urban Heat and Greenspace: Analyzing Climate Justice in Delhi, India
Climate change and rapid urbanization currently pose major challenges for equitable development in megacities of the Global South, such as Delhi, India. This study considers how urban social inequities are distributed in terms of burdens and benefits by quantifying exposure through an urban heat ris...
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doaj-8d37831743b04ba59534e2b3cb6413ed2021-04-30T23:01:51ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012021-04-01184800480010.3390/ijerph18094800Social Inequities in Urban Heat and Greenspace: Analyzing Climate Justice in Delhi, IndiaBruce C. Mitchell0Jayajit Chakraborty1Pratyusha Basu2National Community Reinvestment Coalition (NCRC), Washington, DC 20005, USADepartment of Sociology & Anthropology, University of Texas at El Paso, El Paso, TX 79968, USADepartment of Sociology & Anthropology, University of Texas at El Paso, El Paso, TX 79968, USAClimate change and rapid urbanization currently pose major challenges for equitable development in megacities of the Global South, such as Delhi, India. This study considers how urban social inequities are distributed in terms of burdens and benefits by quantifying exposure through an urban heat risk index (UHRI), and proximity to greenspace through the normalized difference vegetation index (NDVI), at the ward level in Delhi. Landsat derived remote sensing imagery for May and September 2011 is used in a sensitivity analysis of varying seasonal exposure. Multivariable models based on generalized estimating equations (GEEs) reveal significant statistical associations (<i>p</i> < <i>0</i>.05) between UHRI/NDVI and several indicators of social vulnerability. For example, the proportions of children (β = 0.922, <i>p</i> = 0.024) and agricultural workers (β = 0.394, <i>p</i> = 0.016) are positively associated with the May UHRI, while the proportions of households with assets (β = −1.978, <i>p</i> = 0.017) and households with electricity (β = −0.605, <i>p</i> = 0.010) are negatively associated with the May UHRI. In contrast, the proportions of children (β = 0.001, <i>p</i> = 0.633) and agricultural workers (β = 0.002, <i>p</i> = 0.356) are not significantly associated with the May NDVI, while the proportions of households with assets (β = 0.013, <i>p</i> = 0.010) and those with electricity (β = 0.008, <i>p</i> = 0.006) are positively associated with the May NDVI. Our findings emphasize the need for future research and policies to consider how socially vulnerable groups are inequitably exposed to the impact of climate change-related urban heat without the mitigating effects of greenspace.https://www.mdpi.com/1660-4601/18/9/4800environmental justiceclimate justiceurban studiesurban heat islandgreenspaceremote sensing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bruce C. Mitchell Jayajit Chakraborty Pratyusha Basu |
spellingShingle |
Bruce C. Mitchell Jayajit Chakraborty Pratyusha Basu Social Inequities in Urban Heat and Greenspace: Analyzing Climate Justice in Delhi, India International Journal of Environmental Research and Public Health environmental justice climate justice urban studies urban heat island greenspace remote sensing |
author_facet |
Bruce C. Mitchell Jayajit Chakraborty Pratyusha Basu |
author_sort |
Bruce C. Mitchell |
title |
Social Inequities in Urban Heat and Greenspace: Analyzing Climate Justice in Delhi, India |
title_short |
Social Inequities in Urban Heat and Greenspace: Analyzing Climate Justice in Delhi, India |
title_full |
Social Inequities in Urban Heat and Greenspace: Analyzing Climate Justice in Delhi, India |
title_fullStr |
Social Inequities in Urban Heat and Greenspace: Analyzing Climate Justice in Delhi, India |
title_full_unstemmed |
Social Inequities in Urban Heat and Greenspace: Analyzing Climate Justice in Delhi, India |
title_sort |
social inequities in urban heat and greenspace: analyzing climate justice in delhi, india |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1661-7827 1660-4601 |
publishDate |
2021-04-01 |
description |
Climate change and rapid urbanization currently pose major challenges for equitable development in megacities of the Global South, such as Delhi, India. This study considers how urban social inequities are distributed in terms of burdens and benefits by quantifying exposure through an urban heat risk index (UHRI), and proximity to greenspace through the normalized difference vegetation index (NDVI), at the ward level in Delhi. Landsat derived remote sensing imagery for May and September 2011 is used in a sensitivity analysis of varying seasonal exposure. Multivariable models based on generalized estimating equations (GEEs) reveal significant statistical associations (<i>p</i> < <i>0</i>.05) between UHRI/NDVI and several indicators of social vulnerability. For example, the proportions of children (β = 0.922, <i>p</i> = 0.024) and agricultural workers (β = 0.394, <i>p</i> = 0.016) are positively associated with the May UHRI, while the proportions of households with assets (β = −1.978, <i>p</i> = 0.017) and households with electricity (β = −0.605, <i>p</i> = 0.010) are negatively associated with the May UHRI. In contrast, the proportions of children (β = 0.001, <i>p</i> = 0.633) and agricultural workers (β = 0.002, <i>p</i> = 0.356) are not significantly associated with the May NDVI, while the proportions of households with assets (β = 0.013, <i>p</i> = 0.010) and those with electricity (β = 0.008, <i>p</i> = 0.006) are positively associated with the May NDVI. Our findings emphasize the need for future research and policies to consider how socially vulnerable groups are inequitably exposed to the impact of climate change-related urban heat without the mitigating effects of greenspace. |
topic |
environmental justice climate justice urban studies urban heat island greenspace remote sensing |
url |
https://www.mdpi.com/1660-4601/18/9/4800 |
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