Leveraging Data to Achieve Policy Outcomes is an interactive web-based tool for cities to evaluate micromobility services against policy goals that foster safe, sustainable, and equitable communities. It addresses equity, safety, environmental, and usage outcomes.

The guide 1 covers metrics for a dozen outcomes:

  • Access to Necessities
  • Vehicle Condition
  • Access to Platforms
  • Environment
  • Access to Vehicles
  • Operations
  • Safety
  • Lifespan
  • Infrastructure
  • General Usage
  • Observation and Enforcement
  • Education

Each outcome has a short definition, one or more questions to answer to assess the outcome measure, and then evaluation, policy, and equity metrics that relate to each question. The data required for each specific metric is then identified. For example, one question under the Access to Vehicles outcome is “How far does the average user have to travel to find a vehicle?” A policy metric associated with that question is the “Percentage distribution coverage (total area covered by a quarter-mile radius around each vehicle divided by the total service area). A goal might be “50% coverage 75% of the time.” The data required would be: 

  • device_id
  • event_time
  • service area spatial file
  • event_location
  • neighborhood spatial file
  • event_type_reason 
  • event_type

All but the two spatial files are data that is specified in the Mobility Data Specification. The spatial data is expected to be found in a locality’s open data.

In addition to this guide, the New Urban Mobility Alliance in collaboration with the Mobility Data Collaborative, held a one-hour webinar 2 in July 2020 with multiple presenters covering recommended practices for using mobility data to craft policy, for developing performance metrics and for navigating data privacy considerations.