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.
This dissertation will present an evaluation framework, using material from California as a case study, to prioritize the adoption of SCM by concurrently considering (1) material performance, (2) resource availability, and (3) environmental impact reduction.
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 research will study the challenges of installation and operation of a reliable network of public DC fast charging stations. While existing studies show costs ranging from $20,000 - $150,000, the researchers find costs range anywhere between $122,000 and $440,000.
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 research will address policy-relevant questions by investigating cost-efficient ways to implement a RUC, evaluating the equity impacts of RUC, and quantifying factors that influence household’s PEV adoption decisions.
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 will aim to develop a data-driven framework to analyze the disturbance amplification behavior of automated vehicles in car-following (CF).
