electrification

Accelerate Plug-in Electric Vehicles adoption via understanding household adoption decisions and designing sustainable transportation finance policies

Research Product Type
Dissertation / Thesis
This dissertation sets out to 1) explore the feasibility of implementing a per-mile road-usage charge (RUC) in replacement of the motor fuel taxes, 2) estimate the changes in vehicles-miles travelled (VMT) and the revenues generated from motor fuel taxes under the backdrop of vehicle electrification, and 3) quantify the effects of vehicle class and fuel type portfolios in ZEV-adopting households’ vehicle replacement decisions.

Electric Truck Fleet Management Under Limited and Uncertain Charging Infrastructure Availability

  • Principal Investigator Petros Ioannou, Ph.D.
  • University of Southern California
This project will address the issues of freight decarbonization and supply chain resiliency by designing electric truck fleet management strategies that consider limited charging availability for electric vehicles, respond to electricity grid uncertainties, and analyze the constraints of long-haul and short-haul operations with electric trucks.
Project Status
In Progress

Equity in the Path to Full Light-Duty Vehicle Electrification

  • Principal Investigator Trisha Ramadoss
  • University of California, Davis
This dissertation will develop a representative synthetic population of California including household and vehicle variables crucial to modeling electric vehicle (EV) adoption and equity.
Project Status
In Progress

Improving Our Understanding of Transport Electrification Benefits for Disadvantaged Communities

  • Principal Investigator Debbie Niemeier, Ph.D.
  • University of California, Davis
This research will improve long-term sustainability by identifying how and why (or why not) transportation electrification (TE) projects align with regional and local transportation goals. The research will result in a deep dive case study that can serve as a template for evaluating future TE expenditures with respect to identifying and quantifying disadvantaged community benefits.
Project Status
Complete