All Research Products

This study implemented spatial and visual analytics to identify how micro-mobility in the form of bikesharing has addressed travel needs and improved the resilience of transportation systems.

This dataset includes the data used for the regression analysis of the associated project. Variable names are listed in the top row, as well as more detailed definitions in variable definition worksheets.

This research covered environmental audits at 18 BART stations, an online survey of BART and micromobility users, and interviews with government, industry, and community stakeholders. Recommendations were made for: station design, including greater availability of shared micromobility vehicles, more affordable secure parking for personal micromobility, better signage and wayfinding, protected bike lanes and consistent design standards for bike facilities.

In this research, we will build upon this past research to develop a new cooperative traffic operation approach that takes advantage of not only infrastructure-to-vehicle communications, but also vehicle-to-infrastructure communications. This effort integrates a dynamic traffic signalization algorithm together with EAD algorithm to achieve even greater traffic efficiency.

Rural residents face significant mobility challenges because travel destinations are far, opportunities like jobs and access to essential needs are limited, and rural roadways are more dangerous than their urban counterparts. UC Davis researchers used US Census microdata and conducted interviews to describe socioeconomic and mobility characteristics of carless households and residents in rural California to understand barriers to access and travel adaptations among individuals with limited access to a vehicle.

In this research, the team studied a dynamic on-demand food delivery system and proposed a rolling horizon-based optimization approach integrated with adaptive large neighborhood search (ALNS) to efficiently obtain high-quality solutions. The system-level evaluation shows that on-demand food delivery has great potential to reduce dining-related VMT, resulting in significant reductions of fuel consumption and emissions, especially with Multi-R delivery policy.

In this paper, the authors build upon past research to develop a new cooperative traffic operation approach that takes advantage of not only infrastructure-to-vehicle communications, but also vehicle-to-infrastructure communications. The research was carried out in a high-fidelity simulation environment and shows upwards of 15% fuel savings and 85% reductions in waiting time.

California has a long history of reducing greenhouse gas (GHG) emissions, and has been working to accelerate the adoption of battery electric heavy-duty trucks (BEHDTs) that have a restricted, load-dependent driving range, which makes charging planning an important role in the use of BEHDTs as an alternative to DHDTs. This research study investigates a mixed fleet drayage routing problem (MFDRP) with non-linear charging times.

This policy brief summarizes the key findings and policy implications of recent research from UC Davis that assesses the landscape for freight automation and its potential labor impacts in the freight and warehousing sector.

The rapid adoption of transformational technologies along with other economic and cultural shifts, have created a gap between workers and the skills and knowledge necessary for in-demand occupations. This report identifies the steps required to build talent pipelines that target in-demand trade and transportation occupations requiring specific degrees, certificates, and non-credit professional development.

This research brief summarizes the project report which proposes Talent Pipeline Management solutions that CSU campuses can facilitate in a transformational skills paradigm—a time in which entrants and incumbents need accelerated training and education to acquire the in-demand KSAs of today’s working standards.

Researchers employ a least-cost infrastructure planning framework to analyze the impacts of demand, supply, and government policy uncertainties for future hydrogen supply chains. Long-term investment strategies substantially reduce system costs in all our scenarios

This study draws on an evaluation of web-based tools for analyzing VMT generation, gentrification, and equity, and a stakeholder workshop to identify promising practices and opportunities for improvement with respect to planning tools to support land use efficiency. The findings can inform interagency collaboration around equity analysis and tool development.

Telecommuting came roaring to the forefront of the American workplace in the spring of 2020. The researchers build a quantitative spatial model in which some workers can substitute on-site effort with work done from home.

Dataset used in the project "Tools and Best Practices for Land Use Efficiency and Equity in Cities" by Peter Nguyen and Jesus M. Barajas.

The researchers synthesized their findings into a set of best practices for science communication and considered how scientific reputation affects engagement in the policy process.

Researchers at the University of California, Davis reviewed the empirical research on induced travel to understand the likely effects of adding roadway capacity in a variety of contexts.

With Calculator use increasing, the UC Davis researchers initiated a project to update the Calculator and improve its functionality based on recent data and empirical research.

This report assesses the potential use of express lane discounts as a driver of zero-emission vehicle adoption by testing the effectiveness of a range of discount scenarios. The researchers find that providing even very large discounts for express lane usage to zero-emission vehicles would only slightly increase vehicle sales but would make these lanes much less capable of serving their other purposes. As part of this project, an Excel tool was developed that allows users to test their own scenarios.