All Research Products

This report investigates how local governments (cities and counties) are implementing California’s Senate Bill 743, adopted in 2013 to eliminate traffic delay, measured using level-of-service (LOS) standards, as a basis for analyzing and mitigating transportation-related impacts of development projects and plans as called for under the California Environmental Quality Act (CEQA).

Given that today’s real-world diesel fuel supply is comprised of biodiesel as a blendstock with petrodiesel, understanding how addition of biodiesel affects exhaust particle properties and their subsequent effect on human health is critically important. Here, samples of a commercial waste vegetable oil biodiesel B100 fuel were subject to thermal oxidation at 110°C for 5, 10 or 20 hr before diesel engine dynamometer emissions testing as the neat fuel (B100) and as a 20% v/v biodiesel blend (B20) with petrodiesel.

This project evaluates a broad range of factors influencing microtransit adoption and travel behavior among underserved populations using original revealed choice survey data collected from February – May 2024 with online and intercept surveys.

This dissertation examines clean energy supply chains in the context of the just transition and circular economy frameworks, focusing on a central technology for zero-emissions transportation: lithium-ion batteries (LIBs) for electric vehicles (EVs). The author focuses on three phases of the LIB life cycle: mineral extraction, component and cell manufacturing, and end-of-life management.

In this project, the team will develop MOVES-Matrix 3.0 based on the existing MOVES Matrix framework, and the team will modify the code to perform the iterative processes with MOVES 3, handle new data formats, and join distributed computing outputs into new matrices.

The goal of this project was to assess the capabilities of the travel demand forecasting models (TDMs) used by California’s metropolitan planning organizations (MPOs) with respect to forecasting the increase in vehicle miles of travel induced by highway capacity expansion.

A team at the University of California, Davis, conducted a case study in Sacramento, California, to explore bikesharing as an option for connecting affordable housing residents with transit services. This brief summarizes the findings from that research and provides implications for the field.

This is the dataset for the NCST project "MOVES-Matrix 3.0: On-Road Energy and Emission Modeling with High-Performance Supercomputing."

Dataset for the project "Using Multi-Modal Path-Specific Transit Trips in Transportation Social Sustainability Analysis: Case Study in Atlanta, GA" (GT-DG-S21-61).

Using the 2017 National Household Travel Survey, this study quantifies and compares travel burdens in rural versus nonrural communities in the United States.

This is the dataset for project "Enhanced Accounting for Item Cost Variability in AASHTOWare Project Software"

This dataset is collected during the project "Air travelers’ Ground Transportation Choice at Four Airports in Northern California."It contains the survey responses regarding the use of the four airports in Northern California.

In this study, a modeling framework for population exposure to traffic-related PM2.5 is proposed and applied to the I-575/I-75 Northwest Corridor (NWC) in Atlanta, GA, for environmental equity analysis. This dataset contains the energy and emission rate matrices used for the study.

In this paper, the authors present a new sensor location model that aims to maximize observability of link densities in a dynamic traffic network described using a piecewise linear system of ordinary differential equations.

This dissertation consists of six studies that explore the environmental sustainability and social equity implications of micromobility services, separately and together. The studies compiled in this dissertation examine the implications of travel behavior for environmental sustainability through the lens of equity.

Traffic sensors serve as one of the most important sources for such data by providing an accurate and reliable general picture of the traffic system. In this dissertation, a new sensor location model is developed to maximize the observability of link densities in a dynamic traffic network described using a piecewise linear ordinary differential equation system.

In this study, a modeling framework for population exposure to traffic-related PM2.5 with high spatiotemporal resolution is proposed and applied to the I-575/I-75 Northwest Corridor (NWC) in Atlanta, GA, for environmental equity analysis.

Research performed in this supplemental NCST study improved model algorithms to increase analytical efficiency and to integrate ridership demographics, so that energy use impacts could be assessed across demographic groups for use in social sustainability analysis.

In this study, a modeling framework was developed to generate high-resolution synthetic fleets, for use with synthetic household modeling in activity-based travel models, by integrating various data sources.

The purpose of this literature review is to assess what is currently known about the ability of travel demand forecasting models (TDMs) to provide accurate forecasts for different types of transportation plans and projects with respect to different outcome measures of interest.