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 white paper will review the key literature and estimates, attempt to understand the reason for differences and resolve these, undertake sensitivity analysis and a “final” robust analysis with conclusions about the best applications of BETs and where they may be very challenged to replace diesels.
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.
This project studies how different fueling technologies and technologies-for-rail can reduce life cycle greenhouse gas and pollutant emissions from train transportation.
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.
In this project, both stated and measured data will be used to evaluate the San Joaquin Valley's carsharing program, volunteer ride-hailing program, and the "mobility-as-a-service" smartphone application.
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.
