Policy Briefs

Recent Policy Briefs

*NEW ISSUE PAPER* Mobility Data Sharing: Challenges and Policy Recommendations 

Authors: Mollie D’Agostino, Paige Pellaton, and Austin Brown; Contributors: Hannah Safford, Kelly Fleming, and Cassidy Craford

Massive amounts of transportation data are generated every day. These data can support transportation planning, policy, and research— especially when it comes to emerging mobility options such as scootersharing, bikesharing, and ridehailing. However, there are not yet well-established mechanisms for sharing mobility data. New policy frameworks are needed to streamline and expand mobility data sharing while respecting privacy and proprietary concerns. Frameworks that achieve these goals must consider how best to (1) standardize, (2) share, (3) securely store, and (4) analyze and apply mobility data. This brief summarizes insights from the UC Davis issue paper “Mobility Data Sharing: Challenges and Policy Recommendations”, which addresses each of the above components....For a concise summary see the 2-page Policy Brief

Reshaping Liability and Insurance Rules for Automated Vehicles

Authors: Gordon J. Anderson, Austin L. Brown, and Hannah R. Safford 

The American civil liability framework has two basic goals: ensuring the efficient compensation of victims for their injuries and assigning the cost of compensation to the blameworthy party. When it comes to auto crashes, the existing liability system achieves these goals by assigning liability based on human fault and requiring human drivers to carry insurance. But this system, and the legal theories that support it, are predicated on the assumption that car crashes are traceable to human driver error.

In the near future, automated vehicles (AVs) capable of self-driving will come to market. These vehicles will sometimes crash while operating in a self-driving mode. The problem is that the current vehicle liability scheme does not neatly translate to a world where driving errors are made by nonhumans. Failure to update liability laws could be a missed opportunity to promote AV usage and thereby maximize the technology’s safety benefits. Furthermore, a patchwork liability scheme that varies between jurisdictions can jeopardize efficient victim compensation and fair liability assignment.

The Road to Successful Governance of Automated Vehicles

Authors: by Austin Brown, Executive Director, Policy Institute for Energy, Environment, and the Economy Greg Rodriguez, Of Counsel, Best, Best & Krieger Tiffany Hoang, Graduate Student Researcher, Policy Institute for Energy, Environment, and the Economy

Federal governance of AVs has been limited. To date, the U.S. Department of Transportation (USDOT) has issued only voluntary guidelines on AV development and deployment....So far, twenty-nine states and the District of Columbia have enacted AV-related legislation, while cities like Boston and Portland have adopted AV policy frameworks. State and local AV polices involve a variety of approaches from requiring testing permits to encouraging electric and shared AVs. This illustrates that there is no “one-size-fits-all” way to govern AVs...States and local governments have many goals for their transportation systems, including reducing congestion, improving equity, and reducing pollution. AVs will be a powerful tool to achieve these goals, but only if good governance structures empower these governments to set good policy. 

Electrifying Ride-sharing: Transitioning to a Cleaner Future

Authors: by Alan Jenn, Institute of Transportation Studies, University of California, Davis

Incentives for plug-in electric vehicles (PEVs) are typically designed to encourage broad consumer adoption of the new technology. However, maximizing electrification of the transportation sector also requires incentives targeted at stakeholders with high travel intensity, i.e., those exhibiting particularly high passenger occupancy and/or vehicle-miles traveled (VMT). This policy brief focuses on one such class of stakeholders: transportation network companies (TNCs) such as Uber and Lyft. It examines empirical data of electric vehicle use in TNCs and discusses research findings on the potential impacts of electrifying TNCs. It also raises important considerations for the development of future policy. 

Travel Effects and Associated Greenhouse Gas Emissions of Automated Vehicles

Research by Caroline Rodier Institute of Transportation Studies, UC Davis 
Policy Brief by Julia Michaels, 3 Revolutions Future Mobility Program, UC Davis

Automated vehicles (AVs) may significantly disrupt our transportation system, with potentially profound environmental effects. This policy brief outlines the mechanisms by which AVs may affect the environment through influencing travel demand, as well as the magnitude of these effects on vehicle miles travelled (VMT) and greenhouse gas (GHG) emissions. Personal AVs and AV taxis (or ride-hailing services) are likely to increase VMT and GHG emissions, exacerbate traffic congestion in city centers, and potentially lead to suburban sprawl. Electrification and vehicle sharing may reduce some of these environmental effects, but targeted policies must be put in place to ensure that these solutions are effective.