Social media analysis reveals environmental injustices in Philadelphia urban parks.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
03 08 2023
03 08 2023
Historique:
received:
25
04
2023
accepted:
27
07
2023
medline:
7
8
2023
pubmed:
4
8
2023
entrez:
3
8
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37537251
doi: 10.1038/s41598-023-39579-4
pii: 10.1038/s41598-023-39579-4
pmc: PMC10400556
doi:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
12571Informations de copyright
© 2023. The Author(s).
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