Transportation and Mobility Management Commons^™

Project 337, Kaushal Meda, Tuhin Misra, Pranav Rathi, Vraj Patel, Diivyaang Desa, Sameera Patki, Vaidehi Saini, Roy Su

Discovery Day - Daytona Beach

Access to critical medical infrastructure and supplies can be limited in rural and remote communities, where long travel distances and limited transportation networks can delay emergency response/care. In fact, according to the National Library of Medicine, in the United States alone, “about 20% of the US population—more than 50 million people—live in rural areas, but only 9% of the nation's physicians practice in rural communities”, highlighting the challenges many communities face in accessing timely medical resources. Unmanned aerial vehicles (UAVs), however, offer a potential solution by providing fast and flexible delivery of critical life support medical payloads. Project 337, developed …

Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury

Dissertations

The environmental benefits of electric vehicle (EV) adoption depend on more than replacing internal combustion engine vehicles with electric powertrains. EV adoption reshapes electricity demand, interacts with regional generation mixes, and influences travel behavior and congestion, creating a coupled transportation-energy system in which vehicle and power-plant emissions must be evaluated together. This dissertation develops machine-learning frameworks for predicting energy consumption and emissions from vehicles and power grids under rising EV adoption. The first component forecasts grid emissions from EV charging. Using simulation data from NREL's Cambium database, a Prophet-based time-series framework predicts carbon dioxide, nitrous oxide, and methane emission rates …

Meeting The Moment With Ai-Employer Informed Education, Brent Terwilliger, John Faraca

Publications

As artificial intelligence transforms aviation, aerospace, and autonomy-related sectors, higher education must adapt to meet evolving workforce demands. This session shares emerging findings from a nationwide study led by Embry-Riddle Aeronautical University, focused on employer perceptions of AI adoption, responsible use, and workforce preparedness in domains including uncrewed systems, space systems, robotics, and advanced air mobility. Based on a structured survey and follow-up interviews, the presentation explores how organizations are using AI tools, from generative platforms to enterprise systems, and defining effective and inappropriate use in operational contexts. Participants will gain insight into critical concerns (e.g., data privacy, compliance, security, …

A Capability Maturity Model For Artificial Intelligence Integration In Supply Chain Management, Lordt Becklines

Dissertations

Artificial Intelligence (AI) is transforming Supply Chain Management (SCM), yet many organizations struggle to assess their readiness for AI adoption and to understand how AI capabilities develop across maturity stages. This dissertation addresses this gap by developing a Capability Maturity Model (CMM) for AI integration in SCM, grounded in Organizational Information Processing Theory (OIPT), the Resource-Based View, and related capability frameworks. The model provides a structured approach for evaluating an organization's information-processing requirements, resource configurations, and alignment needed for effective AI-enabled supply chain operations.

Using a design science research approach, the AI-SCM CMM and its associated assessment instrument were derived …

Humanity Is Evolving Its Consciousness: The Role Of Archetypal Energies As Guides During An Unfolding Weeding Out And Alignment Process, Carroy U. Ferguson

Psychology Faculty Publication Series

Humanity is evolving its consciousness at individual and collective levels.  Given these seemingly tumultuous times, as of this writing (January 2026), to make such a statement may sound like a strange thing to say.  However, I suggest that if you are alive today and if you are reading these words, these are the very times for which you were born—to assist Humanity as it evolves its consciousness with your unique gifts, whatever they may be.  That is, this period of our individual and collective human being-ness may be characterized as an unfolding period of weeding out and alignment with the …

Rm Sotheby’S Construction Of Value In The High-End Car Market, Pablo Mijares Musi

MA Theses

The purpose of my thesis is to tell and enlighten any readers how the most prestigious and iconic auction house in the world, RM Sotheby’s sells more than just cars from the high-end car market and how the auction house adds value to through storytelling and provenance from each vehicle.  In today’s luxury market economics, we see somewhat of a radical shift. The high-end car market has moved into a very refined area where these beautiful machines are no longer seen and appraised just for their aesthetic design and mechanical engineering, now we see new value drivers for these works …

Wings Of Perception: Investigating Customer Sentiments In Indian Aviation Sector, Yashodhan Karulkar, Kaiwan Vaghchhipawala, Aditya Trivedi, Anushree Talekar

Journal of International Technology and Information Management

India's aviation sector, a key contributor to the nation's economy, has experienced rapid growth, supporting nearly 7.5 million jobs and contributing approximately $30 billion annually to the GDP (Gross Domestic Product). The growth, driven by increased demand for air travel and government incentives, has resulted in more competition among carriers. In the competitive market, it is necessary to understand customer preferences to enhance the quality of service and maintain a competitive edge. The dissemination of customer opinions on social media and review platforms offers airlines the opportunity to access passenger views. However, extracting useful information from this unstructured data is …

Monte Carlo Simulation Models To Enhance Air Cargo Network Resilience And Sustainability, Shereen Marie Hashemi

Doctoral Dissertations and Master's Theses

This dissertation focuses on developing and validating an empirical set of simulation models for an air cargo network under large-scale disruption to test recovery strategies that improve resilience. Understanding and quantifying network resilience and recovery strategies is critical for ensuring sustainable operations. These operations become essential during disruptive events as air cargo is used to transport time-sensitive and critical goods. The collective research steps result in a Monte Carlo simulation framework to evaluate air cargo network resilience and identify strategies that enhance performance during disruptions.

The modeled system is a hub-and-spoke network centered on Memphis (MEM) with 23 domestic airports …

Terra Lunaris: Assessment Of A Lunar Habitat For Scientific Astronauts, Space Miners, Or Space Tourists, Dirk Schumann, Robert A. Goehlich

Publications

This conceptual paper explores ground- based habitable space modules for various applications. The Terra Lunaris concept serves as the baseline and is evaluated in comparison to existing and theoretical studies in this field. Terra Lunaris is a compact hybrid habitat that expands to offer nearly four times its transport volume by combining rigid modules with an inflatable shell. With most interior elements pre-installed and foldable, setup time and complexity are minimized. The design integrates technical zones, living quarters, and shared spaces, while also supporting psychological well-being under extreme conditions. The paper provides both qualitative and quantitative analyses of lunar habitation …

Smart Mobility Technologies In Urban Areas Of Emerging Economies: A Bibliometric Analysis, Peter Mugisha, Rose Luke, Joash Mageto, Hossana Twinomurinzi

African Conference on Information Systems and Technology

Despite the adoption of smart mobility solutions in emerging economies, challenges such as traffic congestion, pollution and inadequate infrastructure still persist. This study analyses 540 scholarly articles published between 2003 and 2024 to evaluate how smart mobility technologies – such as Intelligent Transportation Systems (ITS), Internet of Things (IoT) and Artificial Intelligence (AI) – have been implemented in these regions. Data was retrieved from Scopus and Web of Science and analysed using Biblioshiny for bibliometric mapping and Atlas.ti for thematic analysis. The review identifies research trends and gaps, showing how ITS has improved transport management in cities like Nairobi, and …

Constructing A State: Canals And The Transformation Of The Economy, Politics, And Finance In Nineteenth-Century New York, Youwei Xing

All Dissertations

This dissertation consists of three essays in economic history, unified by a focus on one of America's earliest transportation infrastructures, the canal system, in nineteenth-century New York. Each chapter explores a different aspect of the state's transformation: its economy, politics, and finance, each of which helped construct New York as the Empire State.

The first chapter studies the economic impact of canals on economic modernization from three aspects: sectoral transition, urbanization, and banking development. Contrary to much of the modern literature finds transportation infrastructure leads to decentralization, I find the opposite-evidence of centralization. Specially: (1) canal towns experienced a transition …

Acceptability Of The Proposed Congestion Charging System In The Central Business District Of Baguio City, Philippines, Ericka Renee A. Lanigt, Sandra S. Samantela, Ma. Catriona E. Devanadera, Casper Boongaling Agaton

CSID Journal of Infrastructure Development

The City Government of Baguio is proposing a congestion charging system in the Central Business District (CBD) to address the ongoing issue of traffic congestion in the city. Although it is an effective tool, low public acceptability hinders its implementation. This study aims to assess Baguio City residents' acceptability regarding the CBD's congestion charging system. Specifically, it seeks to (1) identify the factors that influence residents’ acceptability of the proposed system, (2) evaluate whether there is a significant difference in acceptability across different road users (private vehicles, public transportation, cycling, and walking), and (3) provide recommendations for transportation policy planning …

From Tarmac To Timetable: A Data-Driven Study Of Airline Delay Performance In Nigeria, Kelechi V. Iwuagwu

Dissertations, Theses, and Capstone Projects

This capstone project investigates the patterns, causes, and impacts of flight delays in the Nigerian aviation sector from January 2024 to January 2025. Utilizing a dataset containing flight details—including scheduled and actual departure/arrival times, routes, and airline information—the study employs advanced data analytics and visualization techniques to uncover critical insights. The research highlights discrepancies between scheduled and actual flight performance, identifies delay patterns across airlines and timeframes, and explores the ripple effects of delays on subsequent flights.

Furthermore, Nigerian passengers frequently express frustrations over flight delays, cancellations, and poor communication from airlines, yet no publicly available data systematically documents these …

The Space Rescue Professional: Operationalizing Guardians For The Future, Benjamin Johnis, Robert Bettinger, James Dean

Faculty Publications

The escalating competition in space exploration demands a dedicated space rescue capability. This article argues for the establishment of a space rescue professional (SRP) career field within the Department of Defense and the US Space Force. By harnessing existing US Air Force combat rescue expertise and partnering with the National Aeronautics and Space Administration, the Space Force can rapidly develop a robust SRP program with the warrant officer corps as its backbone. This article addresses a critical gap in national space policy to outline a cost-effective dual-service training pipeline and SRP operational roles. Such an investment safeguards astronauts, bolsters US …

Striking A Balance: Market Shock & Responses In Automotive Components Manufacturing, Emma Lane Mcgahey

All Theses

This thesis examines the effects of extreme market shocks on supply chain dynamics within the automotive industry. Through an analysis of demand data from an automotive manufacturer to its component suppliers (January 2018 to May 2024), the study investigates the relationship between market shocks and supply chain responses, providing insights into how auto components inventory management handles downstream responses to market shocks. With supporting public data—from FRED, BLS, and the U.S. Census Bureau resources—we explore two primary relationships: the impact of market shocks on the Average Standard Deviation of Demand (SDO) and the effect of demand variability on expedited pricing …

Unleaded Fuel For General Aviation, Carolina Anderson, Laura Garcia

Sustainability Conference

The Clean Air Act, passed in the late 1970s, mandating the removal of lead from most fuels due its detrimental effects on public health, yet piston-driven aircraft continue to rely on leaded aviation gas (AvGas 100LL). This fuel remains the last lead-containing fuel regulated by the Department of Transportation (DOT). Lead, added as tetraethyl lead (TEL), enhances octane levels and prevents engine detonation, vital for high-compression aircraft engines. In response to the health effects, regulating bodies like the Environmental Protection Agency (EPA) have tightened lead standards and are assessing the risk posed by AvGas. Research links even low-level lead exposure …

A Comparative Study Of Local And Global Construction Materials Sourcing Strategies For Road Projects In Nigeria, Araoye Olarinkoye Ajiboye, Micaiah Zhitsu Silas, Chinedu Chimdi Adindu, Elijah Aina Alhassan, Stephen Sunday Kolo

CSID Journal of Infrastructure Development

This study is a comparative analysis of local and global sourcing strategies to determine the impact of strategic material sourcing on road construction project performance. The study aimed to evaluate the effects of material-sourcing strategies on the performance of road construction companies in Nigeria. A mixed-methods approach was used, incorporating both qualitative and quantitative research. Data collection involved sampling techniques using structured questionnaires and oral interviews. Regression analysis evaluated the relationship between strategic material sourcing and road construction performance. The results revealed that 87.5% of the materials used by road construction companies in the study areas were sourced from the …

Mobility Index Towards Heritage Tourism Area, Case Study: Borobudur, Prambanan, And Ratu Boko, Kurniawan Pungki Aji, Andyka Kusuma, Efendhi Prih Raharjo

Smart City

Mobility has become a crucial factor in transportation management, especially in the tourism sector. It is a key indicator of the performance of transportation infrastructure and people's response to it. To evaluate mobility in tourist areas, there is a need for tools to represent its value. In this study, the concept of an index as a measure of performance is applied, gathering information into a simpler and more mutually agreeable form. The cultural heritage sites of Borobudur, Prambanan, and Ratu Boko are chosen as an ideal study location due to their popularity internationally. Given the limitations of previous research on …

Incorporating Safety Excellence Into Urban Air Mobility (Uam): Insights From Commercial Aviation, Rotorcraft, And Unmanned Aerial Systems (Uas), Seyoung "Evie" Jang

Senior Honors Theses

This paper focused on safety considerations in Urban Air Mobility (UAM) through a cross-industry examination of commercial aviation, rotorcraft, and unmanned aerial systems (UAS). Although UAM promises transformative benefits, there are safety concerns remaining. Based on the Federal Aviation Administration (FAA)’s Concept of Operations (ConOps), the literature review explained the fundamental concepts of UAM. In commercial aviation, regulatory framework, pilot training and certification, vehicle design and maintenance, and emergency response planning are emphasized. For rotorcraft, safety requirements for vertical flight, collision avoidance systems, heliport standards, and weather adaptability are crucial. Leveraging UAS advancements, the study suggested autonomous systems, sense-and-avoid technology, …

Proposed Charlotte To Atlanta High-Speed Passenger Rail Line: An Economic, Infrastructural, And Developmental Analysis In The Upstate Of South Carolina, Ian C. Macurda, Kimberly Whitehead

SC Upstate Research Symposium

This research paper is an in-depth analysis of the high-speed passenger rail line proposed between Charlotte, NC and Atlanta, GA and its impact on the economy, infrastructure, and future development of the Upstate of South Carolina. Currently, passenger rail service between Charlotte and Atlanta is offered on Amtrak at late hours throughout the night on its long-distance passenger rail line The Crescent from New York City, NY to New Orleans, LA. The train is often delayed and is operating at a deficit for Amtrak, like most of their long-distance routes. Traffic on Interstate 85 through the Upstate is another issue …

Containerization Of Seafarers In The International Shipping Industry: Contemporary Seamanship, Maritime Social Infrastructures, And Mobility Politics Of Global Logistics, Liang Wu

Dissertations, Theses, and Capstone Projects

This dissertation discusses the mobility politics of container shipping and argues that technological development, political-economic order, and social infrastructure co-produce one another. Containerization, the use of standardized containers to carry cargo across modes of transportation that is said to have revolutionized and globalized international trade since the late 1950s, has served to expand and extend the power of international coalitions of states and corporations to control the movements of commodities (shipments) and labor (seafarers). The advent and development of containerization was driven by a sociotechnical imaginary and international social contract of seamless shipping and cargo flows. In practice, this liberal, …

Milk Collection Problem: Integrating The Traveling Salesman And Set Covering Problem - A Case Study In West Virginia, Usa, Md Rabiul Hasan

Graduate Theses, Dissertations, and Problem Reports (ETD)

Route determination for perishable products is complex due to its unique characteristics, such as limited shelf-life regulatory requirements, or possibility of getting damaged. This research investigates a novel problem of collecting raw milk from a rural network of dairy farms. The research problem is grounded in a real scenario of milk collection in West Virginia, USA. The milk in this scenario is produced by small farms incapable of realizing transportation economies of density out in mostly rural areas throughout the state. Maximum coverage area and milk processing overhead costs are used to identify suitable locations for intermediate milk collection centers …

How Does Digitalisation Transform Business Models In Ropax Ports? A Multi-Site Study Of Port Authorities, Yiran Chen, Anastasia Tsvetkova, Kristel Edelman, Irina Wahlström, Marikka Heikkila, Magnus Hellström

Journal of International Technology and Information Management

This article investigates the relationship between digitalisation and business model changes in RoPax ports. The study is based on six RoPax ports in Northern Europe, examining their digitalisation efforts and the resulting changes in their business models, leading to further digital transformation. The paper offers insights by reviewing relevant literature on digitalisation’s role in business model innovation and its application in ports. The findings reveal that digitalisation supports relevant business model changes concerning port operation integration within logistics chains, communication, documentation flow, and cargo flow optimisation. However, exploring digitalisation’s potential for diversifying value propositions is still limited. Most digitalisation efforts …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Examining The Impact Of The Covid-19 Pandemic On Older Adults' Activity Participation And Mode Usage In A Rural State: A Case Study Of Arkansas, Arna Nishita Nithila

Graduate Theses and Dissertations

The objective of the study was to investigate the impact of the COVID-19 pandemic on the activity participation and mode usage of older adults residing in Arkansas, a predominantly rural state. Leveraging primary data collected from 1,017 older adult participants, the study employed Latent Class Analysis (LCA) to capture older adults’ heterogeneity in travel behavior and found three distinct classes: Frequent Traveler, Moderate Traveler, and Non-Traveler, based on their activity participation, mode usage during the pandemic and the pandemic’s impact on their trips. Subsequently, a Multinomial Logit Model (MNL) was employed to examine how socio-demographic attributes, residential locations, and health …

Six-Degree-Of-Freedom Optimal Feedback Control Of Pinpoint Landing Using Deep Neural Networks, Omkar S. Mulekar, Hancheol Cho, Riccardo Bevilacqua

Student Works

Machine learning regression techniques have shown success at feedback control to perform near-optimal pinpoint landings for low fidelity formulations (e.g. 3 degree-of-freedom). Trajectories from these low-fidelity landing formulations have been used in imitation learning techniques to train deep neural network policies to replicate these optimal landings in closed loop. This study details the development of a near-optimal, neural network feedback controller for a 6 degree-of-freedom pinpoint landing system. To model disturbances, the problem is cast as either a multi-phase optimal control problem or a triple single-phase optimal control problem to generate examples of optimal control through the presence of disturbances. …

Stability Of Deep Neural Networks For Feedback-Optimal Pinpoint Landings, Omkar S. Mulekar, Hancheol Cho, Riccardo Bevilacqua

Student Works

The ability to certify systems driven by neural networks is crucial for future rollouts of machine learning technologies in aerospace applications. In this study, the neural networks are used to represent a fuel-optimal feedback controller for two different 3-degree-of-freedom pinpoint landing problems. It is shown that the standard sum-ofsquares Lyapunov candidate is too restrictive to assess the stability of systems with fuel-optimal control profiles. Instead, a parametric Lyapunov candidate (i.e. a neural network) can be trained to sufficiently evaluate the closed-loop stability of fuel-optimal control profiles. Then, a stability-constrained imitation learning method is applied, which simultaneously trains a neural network …

A Literary Survey On The U.S. Airline Maintenance Outsourcing: Technology, Economics, And Politics Perspectives, Linfeng Jin, Chien-Ting Lu

Publications

This study examines the U.S. airline maintenance outsourcing- a common business phenomenon in the post-1978 deregulated airline industry. Over the years, there have been several fatal accidents in the U.S. linked to airline maintenance outsourcing, and it has caught the attention of the government and general public. This paper went over the complex airline maintenance outsourcing factors from technology, economics, and political tripartite perspectives. And suggestions for the airlines, the regulators and the legislators are made in the end

Pilots’ Desire To Become Future Space Tourism Pilots: Polynomial Regression Using Response Surface Analysis, Robert A. Goehlich, Ralf Bebenroth

Publications

In this study, we investigated the impact of pilots’ motivation on their desire to be space tourism pilots or to remain in their current occupation (adherence). We analyzed the feedback obtained from a survey questionnaire on a sample consisting of 106 pilots with flying experience. In particular, we compared the pilots’ intrinsic and extrinsic motivations to investigate two outcomes: the desire to become future space pilots or to remain as air pilots. Applying the self-determination theory, we found that intrinsic motivation mattered more than extrinsic motivation. Furthermore, by applying response surface analysis as our statistical tool, it was revealed that …

Predicting Dynamic Fragmentation Characteristics From High-Impact Energy Events Utilizing Terrestrial Static Arena Test Data And Machine Learning, Katharine Larsen, Riccardo Bevilacqua, Omkar S. Mulekar, Elisabetta L. Jerome, Thomas J. Hatch-Aguilar

Student Works

To continue space operations with the increasing space debris, accurate characterization of fragment fly-out properties from hypervelocity impacts is essential. However, with limited realistic experimentation and the need for data, available static arena test data, collected utilizing a novel stereoscopic imaging technique, is the primary dataset for this paper. This research leverages machine learning methodologies to predict fragmentation characteristics using combined data from this imaging technique and simulations, produced considering dynamic impact conditions. Gaussian mixture models (GMMs), fit via expectation maximization (EM), are used to model fragment track intersections on a defined surface of intersection. After modeling the fragment distributions, …