Publications

Researchers at the University of California, Davis developed a decision support framework for local governments to assess life cycle greenhouse gas reductions and costs of Climate Action Plan strategies. The researchers demonstrated their approach by developing marginal abatement cost curves for two California counties, Yolo and Unincorporated Los Angeles, based on strategies from their respective Climate Action Plans. This policy brief summarizes findings from that research.

Rapid technological developments and increased concerns about climate change have spurred interest away from the internal combustion engine and the use of fossil fuels in various applications. These same technologies hold promise in a rail context. This dissertation explores fuel technologies for powering 21st century passenger and freight rail.

Habitat loss and fragmentation is currently the primary driver of biodiversity decline. Community forest management and wildlife crossing structures are two common conservation strategies applied to mitigate habitat loss and fragmentation.

The 2019-20 survey collected data from 3,098 people affiliated with UC Davis about their travel to campus during a single week in October 2019.

This policy brief summarizes findings from researchers at the University of California, Davis, who collected state travel data and electricity demand data to run a model that identified optimal highway rest areas for electric vehicle charger installation and calculated how an increase in charging demand would affect the California electricity grid at selected highway locations.

This research brief summarizes findings and implications from the project where researchers at UC Davis sequenced entire genomes for 40 individual Anna’s hummingbirds (Calypte anna) from across California to identify breeding populations and develop a genetic toolkit to assign individuals to those populations. The presence of this species at bridge construction sites has resulted in construction delays in part because little information exists on the status of different populations within the species.

The study collected information through a web-based stated preference survey sent to fleets and carrier companies to gather data about their economics, and their vehicle purchase preferences. The project also developed a multi-criteria decision-making tool using a Spherical Fuzzy Analytical Hierarchy Process based on experts’ knowledge.

This project evaluated the mid to long-term energy storage needs of the electric grid for select fleet electrification scenarios. The results show that Electrical Energy Storage (EES) capacity requirements depend on a number of parameters, including Demand Response (DR), Electric Vehicle (EV) charging flexibility, and total EV population.

Researchers at the University of California, Davis surveyed residents and employees of the West Village area of the UC Davis campus during the three-month pilot deployment of a self-driving, electric shuttle to understand attitudes toward self-driving technology. This policy brief summarizes findings from that research and provides policy implications of self-driving shuttles.

Associated publication from Journal of Transport Geography on whether dockless or dock-based Bikeshare systems better address enhancing equitable service level outcomes.

This project developed a centrally coordinated load balancing system that considers all user demands and generates individual routes that balance freight loads across the network by minimizing cost.

High-resolution data from Uber and Lyft in California are used to provide insights into the use of electric vehicles in ride-hailing.

n this work, the authors developed a scheduling assignment for loaded and empty containers that builds on earlier models but incorporates stochastic (random) future demand. This report shows that the truck miles needed to satisfy the demand at all locations is reduced by about 4-7% when considering future stochastic demand as opposed to only considering today’s demand.

This project focuses on the problem of error detection and data recovery of partially malfunctioning sensors that could provide valuable information. The results of three network examples with different scales demonstrate the applicability of the proposed method in a large variety of scenarios. This research improves fundamental knowledge on transportation data analytics as well as the effective management of data and information infrastructure in transportation practice.

Associated publication in Transportation Research Record: Journal of the Transportation Research Board utilizing the Induced Travel Calculator to estimate the induced vehicle travel impacts of roadway capacity expansion projects in California.

Researchers at UC Davis drew upon a systematic review of vehicle cost calculators and findings from multiple user experience studies to articulate best practices for the user interface design of effective vehicle cost calculators.

This policy brief summarizes findings from research that examined the presence and behavior of animals at highway crossing structures to understand the effects of noise and light from a highway on wildlife behavior.

This study used 79,328 receptor-link pairs randomly selected from the Atlanta Metropolitan area to train and test a machine learning random forest classification algorithm.

This report uses a microscopic road traffic model with local travel activity data to simulate personal AV parking scenarios in San Francisco's downtown central business district.