Linear regressions on OpenStreetMap land-use and point-of-interest features explain over half the variation in traffic volume and disruptions at 6500 points in 112 Oxfordshire regions, with granular POI data outperforming aggregate categories.
Haklay, How good is volunteered geographical information? a comparative study of openstreetmap and ordnance survey datasets
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Estimating Traffic Disruption Patterns with Volunteered Geographic Information
Linear regressions on OpenStreetMap land-use and point-of-interest features explain over half the variation in traffic volume and disruptions at 6500 points in 112 Oxfordshire regions, with granular POI data outperforming aggregate categories.