Dynamic Traffic Data in Machine-Learning Air Quality Mapping Improves Environmental Justice Assessment
Yifan Wen,
Shaojun Zhang,
Yuan Wang
et al.
Abstract:Air pollution poses a critical public health threat around many megacities but in an uneven manner. Conventional models are limited to depict the highly spatial-and timevarying patterns of ambient pollutant exposures at the community scale for megacities. Here, we developed a machine-learning approach that leverages the dynamic traffic profiles to continuously estimate community-level year-long air pollutant concentrations in Los Angeles, U.S. We found the introduction of real-world dynamic traffic data signif… Show more
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