markets

Incentive Regulation of Transportation Network Companies

  • Principal Investigator Richard Arnott, Ph.D.
  • University of California, Riverside
Research will explore how transportation network companies should be regulated so as to efficiently balance the reduction in cost from increased industry concentration against the increased exercise of monopoly power.
Project Status
In Progress

Incorporating Strategic Business Behaviors in Electric Vehicles (EVs) Charging Infrastructure System Modeling

  • Principal Investigator Zhaomiao Guo
  • University of California, Davis
This dissertation focuses primarily on the system analysis of critical infrastructure systems (CIS), with a particular interest to address the modeling and computational challenges brought by uncertainties, interdependencies and distributed decision making of various components and stakeholders involved in CISs.
Project Status
Complete

Modeling Integrated Bioenergy Supply Chain Systems Under Uncertainty

  • Principal Investigator Yuanzhe Li
  • University of California, Davis
This dissertation develops an integrated modeling framework for advanced biofuel production system from dedicated energy crops under uncertainty. The goal of this framework is to support strategic infrastructure development and policy making for bioenergy production systems.
Project Status
Complete

Next Generation Incentives and Policies for Growing the Zero-Emission Light-Duty Vehicle Market

This briefing featured presentations from UC Davis researchers sharing the latest insights and research findings regarding the future of the electric vehicle market and what type of incentives, policies, and regulations may be needed to increase the adoption and production of low-carbon light-duty vehicles.

Plug-in Electric Vehicle Diffusion in California: Role of Exposure to New Technology at Home and Work

Research Product Type
Research Report
The market for plug-in electric vehicles (PEVs) that primarily include battery electric vehicles (BEVs) and plug-in hybrid vehicles (PHEVs) has been rapidly growing in California for the past few years. Given the targets for PEV penetration in the state, it is important to have a better understanding of the pattern of technology diffusion and the factors that are driving the process. Using spatial analysis and Poisson count models, the researchers identify the importance of a neighborhood effect (at home locations) and a workplace effect (at commute destinations) in supporting the diffusion of PEV technology in California.
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