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 project measures sidewalk, curb ramp, and curb cut quality data to evaluate pedestrian infrastructure quality. The project considers accessible, active travel for people with physical disabilities.
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 measures NO2 and particulate matter (PM 2.5) concentrations in Riverside, California. There is special focus on the spatial and temporal variability of the pollutants in relation to major urban roadways.
Using Atlanta’s MARTA rail system as a case study, this thesis will assess the feasibility of integrating autonomous transit vehicles (transit AVs) into the public transportation system as a first-mile and last-mile solution for riders.
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.
The objective of this project will be to analyze and explore the current literature available on resilient transportation, especially with regards to climate change and extreme weather events.
