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 …

Better Outcomes: Improving Accountability & Transparency In Transportation Decision-Making, Robert Zako, Rebecca Lewis

TREC Final Reports

This report aims to help policymakers and staff at all levels of government make transportation investments that serve the public better.

Amazingly, we simply don’t know how effective government spending is at achieving the outcomes the public expects and has been promised! Clearly, taxpayer dollars buy roads, bus service, airports, ferry service, and other transportation facilities and services. But it is unclear how well such investments help get people where they want to go, create jobs, improve public health, support community development, and provide other benefits. In other words, it is uncertain how cost-effectively the means (transportation investments) achieve the …