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.
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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.