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    Graph-based machine learning for high-resolution assessment of pedestrian-weighted exposure to air pollution by Feifeng Jiang, Jun Ma

    Published 2025-06-01
    “…Applied to New York City, the framework leverages graph-based machine learning to predict street-level PM2.5 concentrations from vehicle-sensed pollution data, while estimating high-resolution pedestrian volume derived from street view imagery and ground-truth count data. …”
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