Researchers at the University of Delaware (UD) and Emory University exposed unequal quality in Philadelphia's urban parks using social media and machine learning (ML).
The researchers used an algorithm to analyze 285 parks using more than 100,000 reviews collated from Google Maps, showing most high-quality-designated parks are sited in areas where affluent, white, college-educated residents are prevalent.
The lowest-scoring parks tended to be in neighborhoods inhabited by historically marginalized citizenry, mainly low-income, less-educated Black and Hispanic residents.
UD's Matthew Walter said the researchers used natural language processing to condense the reviews' text into different categories or topics to see the most frequently mentioned keywords.
The researchers also used satellite and aerial imagery and data from police reports and the Philadelphia Parks and Recreation Department to corroborate the reviews with the parks' physical properties.
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Abstracts Copyright © 2023 SmithBucklin, Washington, D.C., USA
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