mobility (general)

This study investigates how stakeholders throughout California view the potential impacts of ridehailing services, such as Uber or Lyft, on transportation systems, and how to address such impacts.

Using the 2017 National Household Travel Survey, this study quantifies and compares travel burdens in rural versus nonrural communities in the United States.

This paper addresses asks and answers the following questions: (1) What are the scope and scale of rural car access in the U.S. and what are the factors associated with not having a car? (2) How do rural carless residents get around relative to their nonrural peers? (3) What are the consequences of not having car access in rural areas?

Researchers at the University of California, Davis and the Technical University of Berlin evaluated questions around the impacts of automated vehicles by simulating three scenarios in the Westside Cities area using an open-source, dynamic, agent-based travel model called MATSim, then calculated the benefits of each scenario compared to the base case for various income groups.

This policy brief summarizes interviews with stakeholders from 38 agencies and organizations throughout California on how they view the possible impacts of ridehailing and the policies that might best address those impacts.

This study explores opportunities for improving access to transportation affordable programs by gathering insights from existing income qualified transportation benefits. Researchers compare examples of these programs to design features of existing non-transportation benefits to characterize opportunities for increased coordination and standardization.