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Historical redlining and park use during the COVID-19 pandemic: Evidence from big mobility data.

Yuanfei LiYouqin HuangRui LiKai Zhang
Published in: Journal of exposure science & environmental epidemiology (2023)
Using emerging big mobility data, our study revealed large drops in park visits, a better measure than commonly-used access measures in capturing green space exposure, during the lockdown period. We found that historical redlining has a lasting impact on current green space use. More decreases in park visits were observed in the redlined areas in New York City, but patterns vary by neighborhood and city due to local-specific neighborhood dynamics. And changes in park visits were spatially, positively correlated across places.
Keyphrases
  • big data
  • electronic health record
  • physical activity
  • artificial intelligence
  • machine learning