University of California, Davis

Towards a Just Electric Vehicle Transition in North America: Analysis of Regional Trade and its Effects on Supply and Life Cycle Impacts

  • Principal Investigator Francisco Parés Olguín
  • University of California, Davis
With increasing electric vehicle (EV) demand, EVs have entered the international second-hand (SH) vehicle market, risking economic and environmental burdens through spent batteries. This research addresses challenges associated with the EV transition in North America.
Project Status
Complete

Transportation Big Data: Networked Sensor Data Error Estimation

  • Principal Investigator Saurabh Maheshwari
  • University of California, Davis
In this project, with the help of statistical approaches, transportation network modeling techniques will be deployed to address new challenges to sensor health monitoring problems.
Project Status
Complete

UC Davis Campus Travel Survey

  • Principal Investigator Dillon Fitch-Polse, Ph.D.
  • University of California, Davis
This ongoing project conducts annual surveys to find out how UC Davis students, staff, and faculty are traveling to campus.
Project Status
In Progress

Understanding Consumer Unawareness, Resistance, and Discontinuance vis-à-vis Electric Vehicles

  • Principal Investigator Kenneth Kurani, Ph.D.
  • University of California, Davis
This research examines both passive and active consumer resistance to EVs. Passive resistance may be characterized as never entering a consideration and purchase process, i.e., unawareness. Active resistance is a decision made as the result of evaluation—up to and including the experience of owning and driving an EV.
Project Status
Complete

Vehicle Miles Traveled (VMT) Measurement Methods and Pilot Test for Collecting Odometer Readings

  • Principal Investigator Siddhartha Gulhare, Ph.D.
  • University of California, Davis
This project will develop a framework to collect pictures of odometer readings from participants via instant messaging services APIs and test it through a pilot deployment. This methodology has the potential to be more cost-effective, less intrusive, and more accurate than other measuring approaches.
Project Status
Complete