• 1

    Train deep learning models to identify existing bicycle and pedestrian facilities, and create a network of existing bicycle and pedestrian facilities.

  • 2

    Train deep learning models to identify bicycle and pedestrian facility condition, creating condition ratings for the existing bicycle and pedestrian network.

  • 3

    Determine areas in most need of bicycle and pedestrian facilities based on infrastructure, behavior, safety, and context (i.e. climate, land use, demographics, etc).

  • 4

    Develop recommendations for locations that should be a priority when addressing building new bicycle and pedestrian facilities based on the need analysis.