White Paper
Bicycle AADBT and Pedestrian AADPT: Methodology and Validation
Active transportation planning requires reliable counts for bicycle and pedestrian movements. But cities, towns, and states struggle with bicycle and pedestrian data gaps for all road types.
StreetLight’s Active Transportation Snapshot delivers validated Pedestrian Annual Average Daily Traffic (AADPT) and Bicycle Annual Average Daily Traffic (AADBT) at the segment level across every road and trail, providing planners with a scalable view of active transportation activity across entire regions. Unlike datasets based solely on modeled assumptions, these metrics are grounded in a strengthened multi-source methodology that incorporates expanded ground-truth counter data alongside contextual inputs such as POI density, camera counts, Census, and ACS data to better reflect real-world travel patterns.
Transportation professionals can use these metrics to understand where biking and walking activity concentrates, identify high-priority corridors, and support data-driven planning and funding decisions. Active Transportation Snapshot makes it possible to analyze bike and pedestrian activity across entire networks — not just at isolated counter locations — enabling consistent comparisons across cities, counties, and states.
Read our white paper to learn how to:
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Access segment-level bicycle and pedestrian volumes (AADBT and AADPT) across every road and trail
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Understand the multi-source methodology that integrates counter data and contextual inputs
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Evaluate validation results and how estimates compare to available ground-truth counts
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Use network-wide metrics to prioritize corridors and support planning decisions
Understand bike and pedestrian activity at scale across every road and trail to plan with confidence
Identify high-need corridors instantly with segment-level bike and pedestrian activity on every road and trail.
Plan with confidence using richer, more accurate data powered by a strengthened volume mode.
Fill critical data gaps across your network by accessing reliable, region-wide metrics.