The Nexus

As cities experiment with AV technologies, understanding public concerns, addressing equity, and aligning with local goals are essential for successful full-scale deployment. The report synthesizes insights from AV pilots in Detroit, Pittsburgh, San José, and Miami-Dade County, providing concrete lessons for cities, policymakers, and AV developers. It underscores the importance of iterative learning, inclusive engagement, and strategic planning to ensure AV technologies support—not hinder—urban mobility and equity.

UAM is promoted as a service that could address a wide-range of city goals from reducing traffic congestion and emissions to improving access to destinations. At the forecast scale, however, trips will remain both too few and too expensive to meet broad city goals. While UAM may offer an exciting and futuristic technological vision, it can also distract attention and resources from proven policies and investments that could realize concrete improvements. For cities planning to pursue scaled UAM services, they should consider scenario planning and implement flexible regulations and plans that can be adapted and updated as understanding of UAM services’ costs, risks, and benefits evolve.

How much shared scooter parking is needed to meet demand and reduce noncompliant parking? Drawing on Lime data from a dozen cities in the US and Europe, this report provides three key planning and policy recommendations for cities to consider as they work to integrate scooters into the overall transportation system:

While autonomous vehicles are still experimental and nascent in many corners of the U.S., the same kind of unguided tectonic shift seen with the introduction of the automobile nearly a century ago is possible. Autonomous Vehicles: A Guidebook for Cities was created in response to cities seeking to manage and influence autonomous vehicle (AV) pilots and deployments happening on their streets, as well as cities trying to prepare for these pilots. The Guidebook offers considerations, tools, and examples of various ways to manage effectively autonomous vehicle deployments.