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Using GIS-based spatial analysis to determine urban greenspace accessibility for different racial groups in the backdrop of COVID-19: a case study of four US cities
As the United States leads COVID-19 cases on global charts, its spatial distribution pattern offers a unique opportunity for studying the social and ecological factors that contribute to the pandemic’s scale and size. We use a GIS-data-based approach to evaluate four American cities—Anchorage (Alask...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564283/ https://www.ncbi.nlm.nih.gov/pubmed/34744264 http://dx.doi.org/10.1007/s10708-021-10538-8 |
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author | Pallathadka, Arun Pallathadka, Laxmi Rao, Sneha Chang, Heejun Van Dommelen, Dorn |
author_facet | Pallathadka, Arun Pallathadka, Laxmi Rao, Sneha Chang, Heejun Van Dommelen, Dorn |
author_sort | Pallathadka, Arun |
collection | PubMed |
description | As the United States leads COVID-19 cases on global charts, its spatial distribution pattern offers a unique opportunity for studying the social and ecological factors that contribute to the pandemic’s scale and size. We use a GIS-data-based approach to evaluate four American cities—Anchorage (Alaska), Atlanta (Georgia), Phoenix (Arizona), and Portland (Oregon) characterized by the significant composition of different racial and ethnic group populations. Building upon previous studies that investigated urban spatial inequalities using the environmental justice framework, we examine: (1) the relative racial vulnerability of Census Block Groups (CBG) and ZIP Code Tabulation Areas (ZCTA) to COVID-19 (2) green space distribution at CBG and ZCTA scale. Using standard normalization methods, we ranked racial vulnerability against % available green space for each city. Our results highlight the legacy of past and present urban planning injustices. The project is useful from environmental justice, public health management, and urban planning perspectives. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10708-021-10538-8. |
format | Online Article Text |
id | pubmed-8564283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-85642832021-11-03 Using GIS-based spatial analysis to determine urban greenspace accessibility for different racial groups in the backdrop of COVID-19: a case study of four US cities Pallathadka, Arun Pallathadka, Laxmi Rao, Sneha Chang, Heejun Van Dommelen, Dorn GeoJournal Article As the United States leads COVID-19 cases on global charts, its spatial distribution pattern offers a unique opportunity for studying the social and ecological factors that contribute to the pandemic’s scale and size. We use a GIS-data-based approach to evaluate four American cities—Anchorage (Alaska), Atlanta (Georgia), Phoenix (Arizona), and Portland (Oregon) characterized by the significant composition of different racial and ethnic group populations. Building upon previous studies that investigated urban spatial inequalities using the environmental justice framework, we examine: (1) the relative racial vulnerability of Census Block Groups (CBG) and ZIP Code Tabulation Areas (ZCTA) to COVID-19 (2) green space distribution at CBG and ZCTA scale. Using standard normalization methods, we ranked racial vulnerability against % available green space for each city. Our results highlight the legacy of past and present urban planning injustices. The project is useful from environmental justice, public health management, and urban planning perspectives. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10708-021-10538-8. Springer Netherlands 2021-11-03 2022 /pmc/articles/PMC8564283/ /pubmed/34744264 http://dx.doi.org/10.1007/s10708-021-10538-8 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Pallathadka, Arun Pallathadka, Laxmi Rao, Sneha Chang, Heejun Van Dommelen, Dorn Using GIS-based spatial analysis to determine urban greenspace accessibility for different racial groups in the backdrop of COVID-19: a case study of four US cities |
title | Using GIS-based spatial analysis to determine urban greenspace accessibility for different racial groups in the backdrop of COVID-19: a case study of four US cities |
title_full | Using GIS-based spatial analysis to determine urban greenspace accessibility for different racial groups in the backdrop of COVID-19: a case study of four US cities |
title_fullStr | Using GIS-based spatial analysis to determine urban greenspace accessibility for different racial groups in the backdrop of COVID-19: a case study of four US cities |
title_full_unstemmed | Using GIS-based spatial analysis to determine urban greenspace accessibility for different racial groups in the backdrop of COVID-19: a case study of four US cities |
title_short | Using GIS-based spatial analysis to determine urban greenspace accessibility for different racial groups in the backdrop of COVID-19: a case study of four US cities |
title_sort | using gis-based spatial analysis to determine urban greenspace accessibility for different racial groups in the backdrop of covid-19: a case study of four us cities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564283/ https://www.ncbi.nlm.nih.gov/pubmed/34744264 http://dx.doi.org/10.1007/s10708-021-10538-8 |
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