electric vehicle (EV)

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.

This study systematically reviews the policy landscape for sustainable freight transportation using text mining and natural language processing techniques and aggregates them into seven distinct policy types: prohibitions, rebates, sales mandates, technological mandates, material infrastructure, and immaterial infrastructure.

Differences and similarities between women and men in their prospective interest in EVs were analyzed and placed in context with observed motor vehicle and EV sales in California. This will research will analyze 12 additional states.

This study compares electric vehicle adoption and attitudes based on gender differences.