E-bike incentive programs are being utilized across the United States to encourage the adoption of active transportation. This
study assesses the impacts of three e-bike rebate programs in Northern California using survey results gathered by each agency.
This research project will develop models for Houston bikeshare system demand prediction at the station level by leveraging data on station activities. Accurate prediction of bikeshare demand has the potential to transform the way these systems are managed and integrated into urban transportation networks, leading to improved efficiency, customer satisfaction, and sustainability.
In this study, researchers use survey data to analyze bicycling comfort and its relationship with socio-demographics, bicycling attitudes, and bicycling behavior.
This project studies obstacles to implementing bike-sharing programs in underserved communities. Results could inform better bike-share access for such communities.
This project documents how the 2018 bike-share program in the Sacramento region impacted local travel behavior. Researchers conducted a before-and-after analysis on bicycling, transit use, and vehicle miles of travel.
