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 …

Recommendations For An International Regulatory Regime For Commercial Space, Margaret O'Brien

Discovery Day - Daytona Beach

The rapid advancement of space technologies in both governmental and private sectors presents a significant challenge for existing space law frameworks. Emerging activities such as space mining are gaining international attention, yet lawmakers struggle to craft regulations for an industry that is still in development. Innovators and investors often hesitate to assume risk in the absence of clear international guidelines. This research explores the complex legal and policy considerations surrounding space resource utilization, including the lack of consensus with existing treaties, the unpredictability of potential hazards, and the widening technological gap between industrialized and developing nations. Historical frameworks, such as …

Airline Ticket Anaysis, Emerson Kohl, Ivan O'Neil

Discovery Day - Daytona Beach

While the U.S. domestic airline industry generates hundreds of billions in annual revenue, the mechanics of airfare pricing remain remarkably opaque to travelers and analysts alike. Prices for geographically similar routes often diverge sharply, driven by a complex interplay of structural constraints and market pressures. This study elucidates the primary drivers of ticket pricing by analyzing high-frequency data from the Bureau of Transportation Statistics DB1B database.   Utilizing an Ordinary Least Squares framework, the research evaluates how route distance, carrier concentration, passenger throughput, and seasonal fluctuations collectively dictate average fares. By quantifying these relationships in Python, the analysis seeks to isolate …

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 …

Advocacy For Inclusive Play In South Dallas: Expanding Access For Children In Underserved Areas, Aryanna Fellows, Mary Jan Greer

Summer 2026 OTD Capstone Symposium

This capstone project aimed to advocate for more inclusive and accessible playgrounds for children of all abilities in underserved communities in South Dallas. Guided by the Person-Environment-Occupation-Performance (PEOP) Model, the project evaluated playground accessibility and identified environmental barriers that limit participation for children with disabilities. Methods included a community needs assessment, playground observations using a standardized accessibility assessment tool, surveys, and stakeholder collaboration. Participants included community members, caregivers, organizational stakeholders, and children who utilize local playgrounds. Findings were synthesized to develop evidence-based recommendations and educational resources to support future playground improvements. The expected outcomes included increased awareness of inclusive playground …

Shaping Egypt’S Transition To Sustainable Electric Transport: Current Policies And Future Directions, Noha A. Ragab

Theses and Dissertations

Egypt has enacted policies to promote the adoption of electric vehicles (EVs) in order to reduce their overall carbon footprint. However, the pace of transition remains limited, so the research aims to answer the following question: “How do current policies shape Egypt’s transition towards sustainable electric transport, and what additional measures can support this transition?" The study employs a qualitative analysis methodology, based on diffusion of innovation theory and conceptual framework, to analyze current policies in Egypt and identify challenges and gaps in their implementation. It also analyzes responses from 23 interviews with experts in the field, manufacturers, dealers, EV …

San Luis Obispo Farmers' Market Mobile App & Rebrand, Joelle To

Graphic Communication

The San Luis Obispo Farmers’ Market, a five-block downtown event featuring nearly 100 vendors, currently lacks a centralized platform for visitors and vendors to easily access information, navigate the market, and communicate efficiently.

This project addresses that opportunity through the design of a mobile app that streamlines vendor information, provides interactive market navigation, delivers real-time event updates, and enhances connections between vendors and attendees.

In addition, the project includes a rebrand and comprehensive brand guidelines integrated into the app design, creating a cohesive visual identity that improves user experience, operational efficiency, and long-term engagement for the San Luis Obispo Farmers’ …

Hedonics Of Used Car Attributes On Market Price, Alexander Bent, Jason Gutierrez

Undergraduate Economics Working Paper Series

This paper uses Rosen's paper on hedonic pricing as a framework to analyze the determinants of used car prices found in Craigslist. Using cleaned data, we observe over 43,000 listings from 2005 to 2020 and investigate factors that affect used car prices and how they interact in this market. Results show that odometer readings and condition are the strongest factors that determine price, while manufacturers, paint color, drive type, fuel type, size, and year have more ambiguous effects that depend on certain perceived attributes or conditions.

Air Travel Demand Factors For The Island Nation: The Case Of The Bahamas, Tamilla Curtis, Wilfred S. Manuela Jr

Atlantic Marketing Association Proceedings

No abstract provided.

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, …

Examining Digital Transformation In Maritime Logistics: A Big Data Perspective, Jiyoon An

Atlantic Marketing Association Proceedings

No abstract provided.

Sustainable Or Stylish? Exploring The Ev Adoption Gap In Marginalized Markets, George W. Stone, Kirsten Passyn, Joe Huscroft

Atlantic Marketing Association Proceedings

No abstract provided.

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 …

Using Artificial Intelligence To Mitigate Bottlenecks In Last-Mile Logistics: A Developing Country Perspective, Marvel S. Ogah, Comfort Ademola, Gregory Asiegbu

International Journal of Applied Management and Technology

The digital revolution of the logistic value chain has improved critical aspects of the global supply chain, especially in the aspect of last-mile logistics (LML). Bottlenecks, however, such as delays in deliveries, increased lead times, pollution, poor cost management, and tracking issues, among several others, plague the logistics operations in developing countries. Artificial intelligence (AI) can help mitigate these bottlenecks toward delivering incremental value to the end customers. This paper investigates the extent to which AI has been adopted in the logistics value chain in developing countries using a descriptive approach. Quantitative data were collected from 290 logistics and e-commerce …

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 …

Global Art: An Economic Exploration Of The Factors Driving Sensible Gallery Expansion, James Mclennan

MA Theses

The goal of this thesis is to develop a practical and defensible decision tool to guide art gallery expansion. Focusing on four cities – New York, Hong Kong, London, and Doha – the thesis translates heterogeneous considerations into a matrix that scores each of the cities according to eight factors: Market & Demand; Regulation & Tax; Logistics & Shipping; Labor & Immigration; Legal Entity & Finance; Brand, PR & Audience; Competition & Benchmarking; and Risk. Sub-factors are scored and averaged to provide results on how each city scores against each other. The output is a ranked set of city recommendations …

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 …

Meeting Battery Electric Vehicle Demand With A Focus On Throughput Capacity Across The Transport Nodes In The Upstream Cobalt Supply Chain, Nicholas J. Visconti

Dissertations

This study assesses whether cobalt transport capacity in sub-Saharan Africa is sufficient to support projected battery electric vehicle (BEV) demand under the Paris Accord. Using open-source data from ArcGIS, the Highway Capacity Manual, and the World Bank, the analysis applies a simplified linear programming approach to estimate the maximum throughput of the primary transport corridor connecting the Democratic Republic of the Congo to the Port of Durban. The model identifies significant constraints along the Rutenga-to-Beitbridge segment, reducing network capacity to an estimated 42,494 tons of ore per day. When converted to refined cobalt, this capacity falls well short of the …

Bargaining Inefficiency Due To Mispricing Under Incomplete Information : Evidence From The Bilateral Oligopolistic Containership Time Charter Market, Jaeung Cha

World Maritime University Ph.D. Dissertations

A well-established body of bargaining studies theoretically demonstrates that inherent limitations in observing the counterplayer’s private information give rise to an incomplete information setting in bargaining, leading to efficiency losses associated with mispricing, costly delays, and even bargaining failures. As the shipping market, a business-to-business market in which products are generally heterogeneous and the number of both sellers and buyers is limited by high entry/exit barriers, relies on a bargaining mechanism to determine tailored transaction prices, market pricing is prone to inefficiencies associated with incomplete information. However, the relevant empirical evidence remains underexplored in both the shipping finance and bargaining …

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 …