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Assessing Neighborhood-scale Traffic from Crowd-sensed Traffic Data: Findings from an Environmental Justice Community in New York City.

Anisia PetersDiana HernándezMarianthi KioumourtzoglouMychal A JohnsonSteven N ChillrudMarkus Hilpert
Published in: Environmental science & policy (2022)
Neighborhood-scale traffic congestion increased in mixed-use and residential areas in an environmental justice community. Our methods can be applied globally as long as crowd-sensed traffic data can be acquired. The data enable communities to advocate for mitigating measures.
Keyphrases
  • air pollution
  • electronic health record
  • big data
  • mental health
  • healthcare
  • physical activity
  • machine learning
  • deep learning