Active Transportation Data Fusion: Incorporating Big Data to Estimate Volumes

Planners and decision-makers have increasingly voiced a need for network-wide estimates of bicycling and walking. Such volume estimates have for decades informed motorized planning and analysis but have only recently become feasible for non-motorized travel modes. Recently, new sources of activity data have emerged derived primarily from GPS-based smartphone location data, both app-based and passively collected. The project team has led several research projects aimed at evaluating and integrating the emerging sources with conventional demand data, including observed bicycle and pedestrian counts, to assess the value added of various emerging sources and the potential for estimating network-wide volumes. This presentation will summarize lessons learned and propose next steps for agencies and researchers who want to incorporate big data into active transportation volume / exposure estimates.