Active Transportation Count Dataset

Data is vendor-collected using technologies like video analytics, then shared with HQ via APIs or files for statewide standardization in CSV format. Core variables include Loc_id (site identifier), Date/Hour (timestamp), Direction, Count (integer volumes), and geospatial (latitude/longitude).

Limitations include potential undercounts in adverse weather and incomplete coverage. This supports equity-focused planning under Complete Streets policies, with updates as pilots expand. We are conducting a short survey to better understand how bicycle and pedestrian data are currently used for planning, design, operations, maintenance, safety, and other transportation-related activities.