The goal of this research is to understand vehicle interactions in mixed traffic and leverage the understanding to shape AV behaviors, simultaneously benefiting all road users (i.e., ensuring equity) and achieving emission reduction, even with a limited proportion of AVs.
This dissertation studies transportation-related barriers and spatial accessibility regarding national park tourism, focusing on differences between racial/ethnic groups.
This study will develop a framework that integrates an activity-based travel demand model with path retention, an emissions model (MOVES Matrix) and demographic analysis system (Population Synthesis).
This research provides insights to policymakers and academics on how to properly allocate electric vehicle charging infrastructure and manage charging activities.
For this research, the researcher proposes to evaluate the effects of transportation fuel subsidies on air quality using economic and econometric modeling. In particular, they will analyze the impact of the Iranian energy subsidy reform on air quality using a regression discontinuity design.
The three-part research study focuses specifically on the relationship between the road environment and bicycling behaviors. Results demonstrate that large scale changes to road environments may be needed to influence bicycling perceptions, attitudes, and behavior.
With increasing electric vehicle (EV) demand, EVs have entered the international second-hand (SH) vehicle market, risking economic and environmental burdens through spent batteries. This research addresses challenges associated with the EV transition in North America.
