All Research Products

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.

E-bike incentive programs are being utilized across the United States to encourage the adoption of active transportation. This study assesses the impacts of three e-bike rebate programs in Northern California using survey results gathered by each agency.

This report describes the scope and scale of car access in rural areas, identifies barriers that rural zero-car and car-deficit households face in their mobility and access, and proposes personal and policy-level adaptations that would help these households achieve their mobility and access needs using descriptive analysis from US census microdata and interviews with 22 residents of California’s Central Valley.

This study explores the impacts of latent attitudes, socio-demographic characteristics, and neighborhood effects on consumers’ current vehicle fuel type choice and their interest in purchasing or leasing an alternative fuel vehicles in the future.

This article proposes a bi-level strategy that incorporates routing zone partitioning and metaheuristic-based vehicle routing to solve the large-scale battery-electric trucks (BET) dispatching problem, considering the delivery types, limited travel distances, and cargo payloads.

This dissertation examines the potential effect of an incentive-based approach to rebalancing a dock-less e-bike-share fleet on bike-share use and social benefits, focusing mainly on VMT reduction, using a e-bike-share service in the Sacramento area, CA.

In this white paper, the authors study pass-through of implicit taxes and subsidies, introduced by federal and state policies, to a variety of diesel and soy biodiesel fuel prices in the context of the U.S. diesel sector, focusing on fossil diesel and soy biodiesel.

This project proposes to improve vehicle utilization and energy efficiency by modeling and evaluating the innovative shared mobility services for freight, with a specific focus on on-demand food delivery. Overall, the shared mobility service has great potential to reduce freight transportation VMT cost and emission. With well-designed delivery policy, the on-demand food delivery can mitigate traffic in the urban city and bring a greener transportation system.

This dataset presents the data utilized for the project, "Routing of Battery Electric Heavy-Duty Trucks for Drayage Operations".

This study leverages the 2018 California Panel Study of Emerging Transportation Trends to analyze the factors that influence consumer decisions to purchase different merchandise online.

The objective of this study is to develop a cohesive, unified dataset of life cycle inventories - needed to quantify the effects of material, energy, waste, and emission flows on the environmental impacts of concrete.

The objective of this study is to develop a cohesive, unified dataset of life cycle inventories needed to quantify the effects of material, energy, waste, and emission flows on the environmental impacts of concrete.

This contains the entire dataset used in the NCST report: Evaluating Alternative Strategies for Traffic Reduction in Los Angeles, consisting of data from Caltran's Performance Measurement System and on vehicle crashes in the Los Angeles Metropolitan Statistical Area.

This study conducted a review of the potential impacts of automated technologies in the freight sector, with a particular emphasis on driving occupations. This work also recommends policy strategies to aid workers impacted by automation.

The analysis of trajectory datasets has numerous applications ranging from urban planning to human mobility understanding, but to protect the privacy of individuals trajectory datasets are rarely released to researchers. The team uses their proposed, and recently published at IEEE BigData 2022 conference, Data-Driven Trajectory Generator, dubbed DDTG, to generate a synthetic vehicle trajectory dataset in the metropolitan city of Los Angeles.

This paper presents an application of topological data analysis (TDA) to discrete optimization problems. This application can improve the performance of the 2-opt local search method for the traveling salesman problem by simply applying standard Vietoris-Rips construction to a data set of trials.

This study investigates the impact of traffic-related air pollutants, specifically NO2 and PM2.5, in Riverside's Innovation Corridor, a six-mile roadway serving key urban centers and logistics activities.