Overview Document: Project Bike Sharing in Shenzhen
Urban mobility is a global challenge, with cities striving to address traffic congestion, air pollution, and accessibility. Bike sharing has emerged as an affordable and eco-friendly solution. Expanding bike-sharing coverage to underserved areas and improving integration with public transportation are crucial. Using the City of Shenzhen as a case study, this study integrates big trip data with machine learning and explainable AI (SHapley) to understand influence of urban form on integration using of Dockless-Bike-Sharing and Metro.