Dissertation Grant

This research aims to quantify environmental impacts of transportation, with special focus on local roads maintenance and improvement.

This three-chapter dissertation will study the reasons behind the decisions of local jurisdictions, including cities and counties, about VMT reduction levels in their environmental reviews and how local planners view equity in the process of implementing VMT-reducing strategies in the CEQA process.

This dissertation uses publicly available travel surveys to estimate how new trends in shared mobility services and telecommuting impact travel behavior.

This dissertation presents a unified framework for understanding plug-in electric vehicle (PEV) usage, with special focus on household factors, user preferences, and PEV technologies. The researcher also looks at energy, emissions, and infrastructure-related factors.

This dissertation communicates results from three different studies on emissions reductions, charging infrastructure, and travel behavior associated with plug-in electric vehicles (PEVs).

The study will utilize mathematical modeling, including artificial intelligence, to design a policy for the optimal use of plug-in hybrid electric vehicles and identify charging locations for future battery electric vehicle drivers

This research examines the differentiation between HEV, PHEV and BEV users in Puget Sound Regional Council regarding the aspects of user household socio-demographic attributes, daily travel pattern and energy usage profile.

This research responds to identified gaps within the field of life cycle analysis while contributing a more nuanced, accurate understanding of the lithium-ion batteries value chain.

This dissertation focuses primarily on the system analysis of critical infrastructure systems (CIS), with a particular interest to address the modeling and computational challenges brought by uncertainties, interdependencies and distributed decision making of various components and stakeholders involved in CISs.

This project will study the response in electric vehicle charging behavior by implementing a carbon-based pricing scheme and studying activity patterns of drayage trucks operations by simulating different opportunity charging scenarios to estimate state of charge and load profiles.