Using stated preference choice experiments, this study tries to fill the two gaps in the literature mentioned here: identify the drivers of choice of charging location during non-routine charging events and quantitative estimates of consumer preference for pricing strategies and other charging infrastructure attributes in case of routine nonhome charging events.
The electrification of privately owned vehicles is a necessary step to eliminating transportation greenhouse gas emissions. The adoption of electric vehicles so far has been heavily focused among high-income commuters who live in major metropolitan areas.
The research examined the sustainability and equity implications of California's Clean Vehicle Rebate Project, which intended to encourage markets for zero-emission and near-zero-emission vehicles.
The project purpose of “Design the Future with Solar Energy: Solar Curriculum Project” is to create solar curriculum for grades 6-12 that includes fun hands-on learning to inspire stu
This research will develop a total cost of ownership (TCO) model and online vehicle cost calculator (VCC) for transport network company (TNC) drivers. Many VCCs have been developed to support consumers in calculating the relative costs of electric and gas vehicles, but their design and the TCO models that underlie them are geared toward traditional vehicle ownership.
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.
