This study synthesizes findings from semi-structured interviews with rail and transportation experts to characterize factors and options influencing adaptive capacity for rail and public transit systems to support reliable, resilient, and safe rail and transit service in the US.
This research proposes a utility learning mechanism to estimate drivers' routing preferences for coordinated routing systems. This research brief discusses the results and effectiveness of the coordinated routing system and the utility learning mechanism.
In this report, the authors developed California-wide models of traffic noise and light intrusion into areas adjacent to state highways to aid understanding of wildlife responses to noise and light, and to aid locating and designing crossings to maximize wildlife approach and use.
This study uses detailed household-level data to evaluate home charging-related barriers to battery electric vehicle (BEV) and plug in hybrid vehicle (PHEV) adoption.
This study evaluates four of Vermont’s recent clean transportation incentive programs in terms of emissions reductions, cost effectiveness, and equity.
This dataset contains relevant information used in the study of collecting odometer images via WhatsApp to measure vehicle miles traveled (VMT) in California.
This study investigates whether hybrid workers, in the post-pandemic era, participate in out-of-home activities differently on their telework days than on their in-person workdays.
In this study, to fulfill the gap between current data collection strategies, the authors introduce a WhatsApp-based VMT data collection framework that lets study participants submit photos of their odometer, communicates with them for administrative events, manages submitted images and other information of the participants, and displays that data on the web UI for the study administrator.
This study examines a Youth Cruz Free program launched by the Santa Cruz METRO in March 2023, allowing kids and teenagers of school age to use the service for free. The researchers were interested in understanding how the program has changed the travel behavior of teenagers, whether it encourages adolescents to use the service after they turn 18, and what factors influence their overall ridership of Santa Cruz METRO.
This project examines who is resistant to zero emission vehicles and why, by using survey data from repeated cross-sectional samples of all-car buying households in California in the years 2017, 2019, and 2021.
This project employs the outputs from MOVES-Matrix 4.0 to generate a data set that can be employed by users of the 2018 Fuel and Emissions Calculator (Version 3.0) to update energy use and emission rates to reflect the latest outputs from the U.S. Environmental Protection Agency’s MOVES 4.0 energy use and emission rate model for the Atlanta, Georgia summer scenario.
This study introduces MOVES-Matrix 4.0, an innovative high-performance implementation of MOVES 4.0.1 that generates exactly the same energy and emission rate results as the Environmental Protection Agency’s latest version of MOVES 4.0.1, but allows users to deploy the MOVES model in complex and dynamic analyses.
This is the dataset for project "Shifting Gears to Sustainability: A Deep-Dive into Solar-Powered Bike Pathways" (UCR-CT-FAST-086). This project explores the feasibility of integrating solar-powered infrastructure into bike pathways as a sustainable energy and transportation solution for California.
This report develops an equitable and sustainable freight-oriented land use (LU) methodology to support future planning activities, enabling the integration of freight activity across urban, suburban, and rural areas and facilitating the transition of heavy- and medium-duty vehicles toward zero-emission.
This is the dataset for the project "Incorporating Infrastructure and Vehicle Technology Requirements, Changes in Demand, and Decarbonization Policies Considerations into Freight Planning."
This study develops a comprehensive optimization framework for electric truck fleet management, addressing the interplay between infrastructure limitations, operational uncertainties, and energy cost fluctuations. This research will also provide scalable insights for policymakers and industry leaders, supporting the broader transition to sustainable freight transportation.
