UF Geomatics research at TRB Annual Meeting – Washington, DC
On January 10th, Dr. Henry Hochmair presented his collaborative research with Ahmed Ahmouda and Eric Bardin entitled, “Estimating Bicycle Trip Volume for Miami-Dade County from Strava Tracking Data” at the Transportation Research Board (TRB) – 96th Annual Meeting in Washington, D.C.
Over the past few years, sports and fitness apps on GPS enabled cell phones provided a significant growth in the volume of GPS tracking data. These crowd-sourced data can be analyzed to better understand the cycling behavior of a large user community. Using Strava activity tracking data from the Miami-Dade County area, the goal of this study is to identify which sociodemographic factors, network measures, in particular on-road bicycle facilities, and place specific characteristics influence bicycle ridership. For this purpose, a set of linear regression models are estimated to predict non-commuter and commuter bicycle kilometers traveled, as well as bicycle kilometers traveled on weekends and weekdays. Eigenvector spatial filtering is applied to explicitly model spatial autocorrelation and to avoid parameter estimation bias. Results suggest that Strava data, due to its high spatial and temporal resolution and coverage, can identify how the influence of explanatory variables on estimated bicycle trip volume varies between different trip purposes and days of the week. Strava tracking data can therefore be considered a useful supplement to other bicycle count systems to estimate cycling volume over large areas.