This white paper will review the key literature and estimates, attempt to understand the reason for differences and resolve these, undertake sensitivity analysis and a “final” robust analysis with conclusions about the best applications of BETs and where they may be very challenged to replace diesels.
This project studies how different fueling technologies and technologies-for-rail can reduce life cycle greenhouse gas and pollutant emissions from train transportation.
This dissertation presents an econometric model to measure supply and demand within the Chinese vehicle market. The model will be significant for industry, particularly car manufacturers interested in better targeting cars, including alternative vehicles, for the Chinese market.
This study aims to conduct a time-series to explore how electric vehicle (EV) adoption has increased over time and to predict how future EV adoption will continue to expand in the future.
This project will look at the geospatial modeling of electric vehicles supply equipment (EVSE). This project aims to develop a set of up-to-date geospatial models for future fuel infrastructure transition in California.
Using a choice model, the project will identify behavioral differences between those who purchase versus lease plug-in electric vehicles (PEVs), discuss how the characteristics of a vehicle technology influence the decision, and will investigate the impact of incentives on the decision to lease a PEV.
