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In recent years, topological data analysis (TDA) has been successfully applied to many different scientific domains, such as aviation, path planning, and time series analysis. To the best of the author's knowledge, this project will be the first to apply TDA to the logistics domain.

This dissertation includes a retrospective of maritime emissions, and a deep analysis of the operational and emission parameters on newest container ships, all with the goal of improving regulations for ship air pollution and reducing personal exposure. The thesis then provides evaluation to establish a novel aerosol delivery method for health studies, aiming to enhance the management of air pollution and its health implications.

This paper examines the relationship between support for the proposition, political ideology and the economic burdens imposed by the 2017 Road Repair and Accountability Act.

This study introduces a deep neural network tool to enable BEV drivers to make charging sessions align with the availability of cleaner energy resources.

The researchers designed a bikeshare station (BSS) location optimization tool that aims to alleviate the impacts of this spatial divide through bikeshare services.

This dissertation provides an integrated examination of urban heat mitigation strategies and the effectiveness of electric vehicle (EV) purchase incentives, employing innovative methodologies across its four chapters to address pressing environmental and policy challenges.

Planners and engineers need to know how to assess the impacts of proposed cycling infrastructure projects to select those with the greatest potential impact on cycling safety. This research uses the BikewaySim cycling shortest path model and shows how it can be used to both examine the current cycling network and show changes in accessibility likely to result from new infrastructure.

This research outlines a framework for assessing new and existing infrastructure through BikewaySim.

Senate Bill (SB) 743 (2013) and its related regulations eliminated automobile level of service (LOS) and replaced it with vehicle miles traveled (VMT) as the primary transportation impact metric for land development projects. The LOS-to-VMT shift was expected to create many challenges for transportation analysts. With those concerns in mind, researchers at the University of California, Davis investigated how local governments have been implementing the LOS-to-VMT shift.

This paper presents a methodology for assessing bicycle first-last mile trips from one area to many possible areas using three visualizations on accessibility, travel times, and transit mode(s) utilized.

This study examines the extent to which public perceptions of mileage fees are guided by misinformation or lack of information using a national, internet-based survey. The researchers find that education can play a key role in increasing support for a mileage fee policy as an alternative to the gas tax.

In the U.S., mileage fees, or road user charges, are being explored as an alternative to motor fuel taxes, often called “gas taxes.” Researchers from the University of Vermont Transportation Research Center used data from over 360,000 Vermont vehicles to assess the financial and equity impacts of replacing the Vermont state gas tax with a revenue-neutral mileage fee of 1.5 cents per mile.

This dataset is associated with a study that examines the extent to which public perceptions of mileage fees are guided by misinformation or lack of information using a national, internet-based survey. The research team employs hypothetical voting opportunities to gather respondent support for mileage fees, coupled with educational treatments that address mileage fee fairness, privacy, and costs.

This dataset provides detailed information on the destination labels for the trip trajectory and charging of 65 Battery Electric Vehicles in California in the eVMT dataset

The researchers study the relationship between support for the proposition, political ideology and the economic burdens imposed by the 2017 Road Repair and Accountability Act.

To mitigate climate change and air pollution, multiple US states and other countries have been crafting policies aimed at shifting sales from conventional vehicles to plug-in electric vehicles. A key to developing these policies is understanding how financial incentives affect consumers’ decisions to purchase or lease PEVs. To better understand this, researchers at the University of California, Davis, analyzed survey responses from approximately 2,800 California PEV owners.

In this study, researchers from the University of Southern California investigated the adoption of battery electric heavy-duty trucks (BEHDTs) in the short-haul freight movement sector and the drayage industry.

A robust rideshare system needs to take uncertainties such as traffic congestion and passenger cancellations into account. In this report, the authors propose a data-driven stochastic rideshare system that integrates those sources of uncertainties.

Lithium-ion battery (LIB) advancements include the use of rapidly evolving and chemically diverse batteries as well as larger battery packs, raising concerns about battery production sustainability as well as battery end-of-life (EoL). This study seeks to respond to these concerns by analyzing potential pathways for EoL EV batteries, quantifies flows of retiring EV battery materials, proposes economically and environmentally preferable LIB EoL strategies, and recommends pertinent policies with an emphasis on environmental justice.

The adoption of battery electric trucks (BETs) has the potential to significantly reduce greenhouse gas emissions; however, challenges like shorter driving range and lower payload capacity necessitates a better understanding of energy-efficient dispatching of BET fleets. This project addresses that concern through developing an adaptive large neighborhood search algorithm that, through experimenting with a real-world case study, is shown to achieve significant energy consumption reduction.