Urban Studies and Planning Commons^™

Exploring Data Fusion Techniques To Estimate Network-Wide Bicycle Volumes, Sirisha Kothuri, Joseph Broach, Nathan Mcneil, Kate Hyun, Stephen Mattingly, Md. Mintu Miah, Krista Nordback, Frank Proulx

TREC Final Reports

This research developed a method for evaluating and integrating emerging sources (Strava, StreetLight, and Bikeshare) of bicycle activity data with conventional demand data (permanent counts, short-duration counts) using traditional (Poisson) and advanced machine learning techniques. First, a literature review was conducted, along with cataloging and evaluating available third-party data sources and existing applications. Next, six sites (Boulder, Charlotte, Dallas, Portland, Bend, and Eugene) that represented a variety of contexts (urban, suburban) and geographical diversity were selected. Of these, Boulder, Charlotte and Dallas constituted the basic sites, where one year of data (i.e., 2019) was used for modeling. Portland, Bend, and …