This project will investigate the traveler behavior using a nested logit model to balance labor supply and travel demand in the context of shared mobility.
The objective of this work is to develop a last-mile delivery optimization model based on Continuous Approximation (CA) techniques and cost-based sustainability assessments, capable of testing various last-mile strategies.
This work aims to advance the role of hydrogen energy in California, and assist in achieving California's goal of carbon neutrality by 2045, through utilizing an optimization-based modeling approach to help design infrastructure systems for hydrogen.
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.
This project aims to review the current literature on practices, reports, and manuals to outline existing safety technologies and analyze the effectiveness of the proposed procedure and strategies implemented in work zones by states.
This project aims to develop a comprehensive knowledge of the capabilities of different last-mile strategies and policies for varied markets and delivery environments.
This project concentrates on policy-focused research supporting the design and implementation of medium- and heavy-duty zero-emission vehicle policies with a team of researchers from UC Davis' Institute of Transportation Studies. The study focuses on policy considerations for increasing fleets’ share of ZEVs' purchases.
This research investigates these two crucial components of climate mitigation that have proven to be politically obstinate. Three studies will focus on the context in which land use and transportation policies are created – the "who, what, and why" of political influence – in order to better understand the barriers to and opportunities for policy change.
