Seed Grant

This project develops a framework to identify policies that encourage competitiveness and economic growth in California's freight industry.

Findings and implications from this research will inform planners and policymakers of effective measures for the promotion of pooled ridehailing and other sustainable travel behaviors.

This project will focus on fundamental methodological development to holistically optimize evacuation plans and transportation systems while accounting for various friction factors. This project will deliver new mathematical modeling and optimization techniques, open-source code, processed datasets, publications, and targeted stakeholder engagement to substantially advance infrastructure resilience and network safety.

Research will explore how transportation network companies should be regulated so as to efficiently balance the reduction in cost from increased industry concentration against the increased exercise of monopoly power.

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 will develop a web-based tool for calculating the induced travel effects of highway expansion projects

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 study estimates reliability and identifies critical paths in California's highway transportation network.

This project will study the economic and emissions benefits of integrating electric vehicles in new mobility frameworks.

This project utilizes the Department of Energy's Systems and Modeling for Accelerated Research in Transportation (SMART) workflow to evaluate potential outcomes of electrification policies, specifically for transit and rideshare systems. This will be accomplished by harnessing a large-scale agent-based activity-based transportation modeling tool designed for the Houston Metropolitan Area.