Our team is developing a decision-support system for planning, designing, operating, and managing micromobility in U.S. cities. This tool is a web-based platform that 1) can crowdsource information from residents on traffic incidents such as crashes and near-misses; and 2) can help cities manage e-scooter parking and monitor equity policy compliance.

For any questions regarding this tool, please contact Jacob Yan (xiangyan@ufl.edu) and/or Xilei Zhao (xilei.zhao@essie.ufl.edu).

A conceptual framework to understand the relationship between e-scooters and public transit

Visualizations

Spatial distributions of trip origins and destinations in Washington, D.C. (Density unit: trips per day per km^2.)

Morning Peak (Left: trip origin; Right: trip destination.)

Afternoon Peak (Left: trip origin; Right: trip destination.)