This research aims to develop an Artificial Neural Network (ANN) to forecast EVs’ trip destinations and charging behavior–information that is essential for electricity load aggregators to effectively manage charging loads.
Discontinuance, the act of abandoning a new technology after once being an adopter, has implications for market growth and could prevent electric vehicles from ever reaching 100% market share. Using results from five surveys of electric vehicle owners, the researchers examine discontinuance among battery electric and plug-in hybrid electric vehicle adopters.
Long-distance travel research is limited due to the lack of robust data and the complexity of defining a long-distance trip. This study contributes to filling that gap by investigating the factors that affect the frequency of long-distance trips of Californian millennials and members of the preceding Generation X.
This paper proposed a methodological framework to assess the potential of electric vehicle penetration and corresponding reduction in energy use and emissions in Georgia, U.S., using 2017 National Household Travel Survey data.
This dissertation will develop a representative synthetic population of California including household and vehicle variables crucial to modeling electric vehicle (EV) adoption and equity.
This research evaluated the accessibility of federal- and states-level Plug-in Electric Vehicles (PEVs) Income Tax Credits (ITC) policy in the United States, and identified potential barriers for households with diverse income levels, family types and number of children in participation.
Researchers at the University of California, Davis evaluated three innovative mobility pilot programs in the San Joaquin Valley to understand the participant characteristics and outcomes of each pilot.
