This research will improve long-term sustainability by identifying how and why (or why not) transportation electrification (TE) projects align with regional and local transportation goals. The research will result in a deep dive case study that can serve as a template for evaluating future TE expenditures with respect to identifying and quantifying disadvantaged community benefits.
The project will help centralize and assess evacuation routes, and assess their capacity
for evacuation. It will help inform infrastructure investment priority decisions, as it will identify the
road segments with the largest impact on the evacuation route/network performance.
This research will improve fundamental knowledge on transportation data analytics as well as the effective management of data and information infrastructure in transportation practice.
This project will explore possible improvements to the UC Davis Induced Travel Calculator and develop recommendations for any further improvements that would require additional resources.
This project builds off of a previous project nearing completion (Designing Public Transit Stations to Enhance Access to First/Last Mile Mode Choices) by continuing stakeholder interviews, updating ArcGIS map files (bicycle lane, operator zones, transit stations), exploring travel behavior, and monitoring best practices to increase micromobility and public transit ridership post-COVID-19.
This project explores the probability of developing a centrally coordinated routing system for trucks. The project develops a method for estimating the utility functions of truck drivers based on their response to a centrally coordinated routing system that they are participating, and it also evaluates the impact of assumed wrong utility functions that could be viewed as non-compliance on the system optimum cost.
This project evaluates complete streets through a life cycle assessment approach, taking into consideration sociodemographic factors in addition to environmental factors.
