With rapid population growth and urban development, traffic congestion has become an inescapable issue in large metropolitan regions. This research project studies the problem of offering incentives to organizations to change the behavior of their individual drivers (or individuals using their organization’s services).
Researchers at the University of Southern California developed a distributed algorithm for offering incentives to organizations to make socially optimal routing decisions designed to lower the traffic flow of congested roads without creating new congestion in other parts of the road network.
By 2030, the state is targeting 90% of passenger miles traveled on TNCs to be fueled by electricity. To support this objective, UC Davis researchers developed an online tool to help gig drivers understand their potential cost savings from EVs.
This research aims to assess the goals and effectiveness of the fees and taxes on transportation network company (TNC) platforms in achieving some of policy objectives, such as traffic and emissions mitigation, as well as revenue generation.
Transportation network companies (TNCs), such as Uber and Lyft, have seen tremendous growth in popularity and use over the past three years, more than doubling from 15 to 36% of Americans (Pew
This policy brief assesses state and local Transportation Network Company taxes across the United States and develops a method of comparing per-ride and percentage taxes in order to the examine the likelihood of these taxes encouraging more sustainable travel.
Two researchers from the Plug-in Hybrid & Electric Vehicle Center at ITS-Davis give an overview of the environmental and infrastructure impacts to Transportation Network Company electrification.
Ridehailing and Public Transit Partnerships
Event Overview
This webinar draws on three interrelated studies exploring how ridehailing and other shared-use mobility services are impacting transportation planning and public transit agencies.
