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 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 project will aim to develop a data-driven framework to analyze the disturbance amplification behavior of automated vehicles in car-following (CF).
The study will shed light on the evolving impacts of new mobility options on various components of travel behavior and vehicle ownership, how these solutions expand travel options and the circumstances under which travelers increase travel multimodality and may reduce their reliance on the use of private vehicles.
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.
