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Social media analysis reveals environmental injustices in Philadelphia urban parks
The United Nations Sustainable Development Goal (SDG) target 11.7 calls for access to safe and inclusive green spaces for all communities. Yet, historical residential segregation in the USA has resulted in poor quality urban parks near neighborhoods with primarily disadvantaged socioeconomic status...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400556/ https://www.ncbi.nlm.nih.gov/pubmed/37537251 http://dx.doi.org/10.1038/s41598-023-39579-4 |
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author | Walter, Matthew Bagozzi, Benjamin E. Ajibade, Idowu Mondal, Pinki |
author_facet | Walter, Matthew Bagozzi, Benjamin E. Ajibade, Idowu Mondal, Pinki |
author_sort | Walter, Matthew |
collection | PubMed |
description | The United Nations Sustainable Development Goal (SDG) target 11.7 calls for access to safe and inclusive green spaces for all communities. Yet, historical residential segregation in the USA has resulted in poor quality urban parks near neighborhoods with primarily disadvantaged socioeconomic status groups, and an extensive park system that addresses the needs of primarily White middle-class residents. Here we center the voices of historically marginalized urban residents by using Natural Language Processing and Geographic Information Science to analyze a large dataset (n = 143,913) of Google Map reviews from 2011 to 2022 across 285 parks in the City of Philadelphia, USA. We find that parks in neighborhoods with a high number of residents from historically disadvantaged demographic groups are likely to receive lower scores on Google Maps. Physical characteristics of these parks based on aerial and satellite images and ancillary data corroborate the public perception of park quality. Topic modeling of park reviews reveal that the diverse environmental justice needs of historically marginalized communities must be met to reduce the uneven park quality—a goal in line with achieving SDG 11 by 2030. |
format | Online Article Text |
id | pubmed-10400556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104005562023-08-05 Social media analysis reveals environmental injustices in Philadelphia urban parks Walter, Matthew Bagozzi, Benjamin E. Ajibade, Idowu Mondal, Pinki Sci Rep Article The United Nations Sustainable Development Goal (SDG) target 11.7 calls for access to safe and inclusive green spaces for all communities. Yet, historical residential segregation in the USA has resulted in poor quality urban parks near neighborhoods with primarily disadvantaged socioeconomic status groups, and an extensive park system that addresses the needs of primarily White middle-class residents. Here we center the voices of historically marginalized urban residents by using Natural Language Processing and Geographic Information Science to analyze a large dataset (n = 143,913) of Google Map reviews from 2011 to 2022 across 285 parks in the City of Philadelphia, USA. We find that parks in neighborhoods with a high number of residents from historically disadvantaged demographic groups are likely to receive lower scores on Google Maps. Physical characteristics of these parks based on aerial and satellite images and ancillary data corroborate the public perception of park quality. Topic modeling of park reviews reveal that the diverse environmental justice needs of historically marginalized communities must be met to reduce the uneven park quality—a goal in line with achieving SDG 11 by 2030. Nature Publishing Group UK 2023-08-03 /pmc/articles/PMC10400556/ /pubmed/37537251 http://dx.doi.org/10.1038/s41598-023-39579-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Walter, Matthew Bagozzi, Benjamin E. Ajibade, Idowu Mondal, Pinki Social media analysis reveals environmental injustices in Philadelphia urban parks |
title | Social media analysis reveals environmental injustices in Philadelphia urban parks |
title_full | Social media analysis reveals environmental injustices in Philadelphia urban parks |
title_fullStr | Social media analysis reveals environmental injustices in Philadelphia urban parks |
title_full_unstemmed | Social media analysis reveals environmental injustices in Philadelphia urban parks |
title_short | Social media analysis reveals environmental injustices in Philadelphia urban parks |
title_sort | social media analysis reveals environmental injustices in philadelphia urban parks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400556/ https://www.ncbi.nlm.nih.gov/pubmed/37537251 http://dx.doi.org/10.1038/s41598-023-39579-4 |
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