Transportation Commons^™

Challenges In Alaskan Rural Pharmaceutical Delivery, Faith Ozer Green, Michael S. Jones

CAEPR Presentations

In remote Alaska, aviation supply chains are critical to maintaining timely flow of food and medicines to communities. We map these supply chains, and present preliminary findings from a pharmaceutical shipment data partnership with a state Tribal Health Organization. Mean and distributional shipment time are presented for communities on versus off the road system, and a multiyear regional map is presented outlining propensity for shipment times over one week. Ongoing work will incorporate multiple additional Tribal Health Organization datasets in a comprehensive econometric framework.

A Visualization-Supported, Hierarchical, Action-Learning Model For Driving Behavior In A V2x Environment, Xuantong Wang, Jing Li, Jecca Bowen

Geography and the Environment: Faculty Scholarship

Understanding human driving decisions is crucial for intelligent transportation research. Most existing studies focus on individual vehicles in limited contexts, which restricts broader applicability of results. Leveraging Vehicle-to-Everything (V2X) infrastructure, this study introduces a machine learning framework to model driving actions and detect outliers across diverse environments. This approach features a semantically enabled clustering method that groups similar driving behaviors based on speed and actions. It also adds a time-series learning model to identify typical driving behaviors across various contexts, thereby enabling detection of abnormal driving actions. A suite of visual tools has been developed to help interpret driving patterns, …

Charting The Distinct Rights Of Sea Workers In European Waters : A Focus On Decent Working Time, María Carrera-Arce, Raphael Baumler, Laura Carballo, Bikram Singh Bhatia

Reports

The document contains three distinct reports:

• The Report 1 ‘Social rights of sea workers in European waters – A Legal study’ discusses sea workers labour regulations in Europe, including cross-sectoral and sector-specific instruments. (pp. 13-68)

• The core of Report 2 ‘Ensuring decent working time for the future – Seafarers under EEA and non-EEA flags’ analyses flags State working-time requirements in the EEA and selected non-EEA jurisdictions. (pp. 69-131)

• The Report 3 ‘A working time comparative analysis – Examples of labour gaps between sea and land workers’ explores in depth working time between sea workers and other occupational …

The Global Onboard Training Programme (Gobt) : A Comprehensive Review, World Maritime University

Reports

A stable supply of qualified seafarers is a critical component of the global maritime logistics industry, which relies heavily on maritime transportation. According to the 2021 BIMCO Manpower Report, an additional 89,510 officers will be needed by 2026. In 2021 alone, there was already a deficit of 26,240 STCW-certified officers, clearly indicating that demand continues to outpace supply. The report also noted a 45.8% increase in the number of female seafarers since 2015, although they still represent only a small share of the overall workforce. Maritime Education and Training (MET) institutions around the world continue to provide training to develop …

Rules Of The Road: Toward National Regulation Of Autonomous Vehicles, Adam Raviv

Journal of Law and Mobility

After decades of promise, self-driving cars are now becoming a meaningful reality on our roads. Yet not a single federal law or regulation governs autonomous vehicle operation in the United States—despite widespread agreement among policymakers, advocates, and industry stakeholders that a national safety framework is necessary. This article provides the first comprehensive legal analysis of what a federal safety regulation for autonomous vehicles can and should look like. It describes the current landscape of autonomous technology. It analyzes both the existing federal legal regime for vehicle safety regulation as well as state, local, and international standards that apply to autonomous …

Numerical Modeling Of Climate Change Impacts On Transportation Embankments, Amr Morsy, Mamata Sapkota, Emma Varela, Odalys Portillo

Mineta Transportation Institute

Embankments are essential components of transportation infrastructure, providing crucial support for long stretches of highways, railways, and other routes in California and around the world. Clay embankments are susceptible to weather-related deterioration processes that can gradually compromise their stability and, in some cases, lead to unexpected failures. Climate change, along with the associated shifts in weather patterns, is projected to adversely impact the weather-related deterioration processes, leading to exacerbated failures and/or shorter service life. Additionally, climate change is projected to increase the frequency of extreme precipitation events, leading to an increase in embankment failure potential. This study evaluated (1) the …

Scoring Equitable Transit: A Data-Driven Framework For Affordable Transit-Oriented Development In California, Ahoura Zandiatashbar, Anton Rozhkov, Stephanie Nemet, Atticus Washington, Mounashree Prasanna

Mineta Transportation Institute

Transit-Oriented Development (TOD) is a cornerstone of California’s climate and land use policy, promising walkable, compact neighborhoods near high-quality transit. However, these benefits are not always distributed equitably. This study introduces a scalable framework for identifying and scoring Affordable Transit-Oriented Development (A-TOD) across the state’s High-Quality Transit Areas (HQTAs). The goal is to equip policymakers, planners, and housing agencies with tools to evaluate station areas based on their physical form, affordability, and equity outcomes. Using a 1.5-mile network-based pedestrian buffer around over 66,000 transit stations, the research team developed a three-stage clustering and scoring system. Station areas were classified by …

Workforce Development Academy For Youth, Hassan Hashemian

Mineta Transportation Institute

To address the need for a diverse workforce in the 21st century and create an awareness of the career paths and opportunities that exist in the transportation industry, the College of Engineering, Computer Science, and Technology at the California State University, Los Angeles (CSULA) has created the Workforce Development Academy for Youth (WDAY). The goal of this program is to build a pipeline of diverse, well-qualified young professionals for the transportation industry. The program works with high school students and teachers to offer academic courses, basic skills, workforce readiness training, internships, extracurricular activities, and career placements to prepare students and …

Huburban America: New Haven And The Promise Of Mobility, Jhansiddh Setthachayanon

Library Map Prize

This project analyzes micromobility as the emerging solution to New Haven’s incomplete urban transportation project. It argues that micromobility’s legitimization through mobility hubs is key to the city’s modern connectivity. Finally, it proposes a version of new hubs for New Haven.

Accounting For Spatial Effects And Social Norms In Making Algorithmic Law: Insights From And Applications In Urban Mobility, Jingkang Gao

Journal of Law and Mobility

This Article examines a prominent idea in the law and technology literature: that algorithms and big data can be used to make law dynamic and personalized. As currently envisioned by legal scholars, “algorithmic law” entails laws that adjust in real time to changing conditions and vary across individuals, improving welfare by tailoring legal rules and standards to personal characteristics.

This Article argues that this vision of algorithmic law is incomplete—and often counterproductive. Existing proposals treat personalization as a function of individual attributes alone, overlooking the fact that effects of individual behavior are fundamentally interactive. Individual behavior is shaped by spatial …

Improving Evacuation Effectiveness On Cruise And Large Passenger Ships : An Analysis Of Human Factors, Safety Culture, And Behavioral Dynamics, Antonios Andreadakis

World Maritime University Ph.D. Dissertations

Maritime trade has long constituted a central pillar of economic development, supporting global commerce and cultural exchange. Nevertheless, the maritime environment is inherently hazardous and therefore the protection of human life has consistently constituted and will continue to remain a central priority (Casson, 1995). An instrumental turning point in maritime safety occurred after the sinking of Titanic in 1912, which prompted in 1914 an International Conference dedicated to the protection of human life at sea; which ultimately led to the adoption of the International Convention on Safety of Life at Sea (SOLAS) (Dalaklis, 2017). This Convention introduced internationally imposed safety …

Handbook On Gender Mainstreaming In The Maritime Sector, Momoko Kitada

Reports

This handbook aims to serve as an introductory practical guide for maritime organizations that intend to apply gender mainstreaming. It guides them in critically reviewing their policies and practices from a gender and diversity lens. Some organizations may view their maritime operations as having nothing to do with gender and, therefore, not requiring any gender considerations. Such mindsets are good signs that an organization would benefit from gender mainstreaming. Others may view the fact that their organizations have women working in every unit as evidence of gender equality and see no need for further action. Gender mainstreaming can help identify …

Enhancing Traffic State Estimation At Bottlenecks Through Improved Demand Modeling: A Greenshields-Grounded Approach, Yuyan Annie Pan, Xianbiao Hu, Qing Tang, Yanyan Chen, Xuesong (Simon) Zhou

Civil & Environmental Engineering Faculty Publications

Accurate estimation of traffic state under oversaturated conditions is fundamental to a wide range of transportation applications. While intuitive, volume-to-capacity (q/qc) ratio-based link performance functions (LPF) are challenged by the U-shaped pattern of real-world speed-flow plots, which contradict the monotonic assumptions of link performance models such as the Bureau of Public Roads (BPR) function, particularly when q/q_c ≥ 1. This study addresses this critical gap by proposing an enhanced demand estimation method grounded in the Greenshields model, incorporating a real-time inflow correction factor to more accurately capture traffic demand at bottlenecks. In parallel, a modified LPF is introduced, replacing …

Shrines On Asphalt Shoulders: Documenting Roadside Memorials In Western U.S. Roadscapes, Isabella R. Sullivan

Scripps Senior Theses

This thesis analyses the practice of documenting and uploading roadside memorials in the Western United States as a socially transformative process facilitated between two distinct kinds of noticing. Drawing on (auto)ethnographies of roadside memorial sites in Colorado and California, interviews with photographers and cartographers working primarily in the American Southwest, and Google Street View media, this research examines how recognition of the social negotiations involving memory and mortality that are already present in the physical shrines evolves when documenters capture and transpose them online. First, these documenters have developed the “eyes to see” roadside memorials for various significant reasons in …

Interpretable Machine Learning For Bridge-Pier Scour Prediction And Flood Resilience, Adil Khan, Dalya Ismael

Engineering Technology Faculty Publications

Bridge-pier scour is a leading cause of flood-induced bridge failure, yet practice still lacks transparent, physics-informed tools that link data-driven prediction with design guidance. This study develops an interpretable, physics-aware machine-learning framework to predict equilibrium scour depth and translate those predictions into actionable strategies for flood-resilient infrastructure. Using the 2014 U.S. Geological Survey Pier-Scour Database (569 laboratory cases), five models: Gradient Boosting, AdaBoost (Tree), XGBoost, Gaussian Process (RBF kernel), and Kernel Ridge (polynomial), were trained and evaluated with K-fold cross-validation. Model performance was evaluated using R², RMSE, and MAE. Gradient Boosting performed best, achieving training and testing R² of 0.99 …

Identifying Mobility Hub Suitability In The Mid-Sized United States Urban Area Using Weighted Overlay And Percentile Based Local Peak Analysis, Eric Asplund

Theses and Dissertations

IDENTIFYING MOBILITY HUB SUITABILITY IN THE MID-SIZED UNITED STATES URBAN AREA USING WEIGHTED OVERLAY AND PERCENTILE‑BASED LOCAL PEAK ANALYSIS

By Eric Asplund

A thesis submitted in partial fulfillment of the requirements for the degree of Master of Urban and Regional Planning at Virginia Commonwealth University.

Virginia Commonwealth University, 2026.

Major Director: Dr. Ivan Suen, Ph. D., Associate Professor, Faculty of Urban and Regional Studies and Planning

Shared mobility hubs are increasingly posited in transportation planning as interventions supporting multimodality, sustainability, and equitable access, but guidance on evaluation of potential hub locations remains uneven, particularly in mid-sized United States cities where …

Follow The Cyclists: Everyday Navigation Of Richmond's Bike Infrastructure, Emily E. Schreer

Theses and Dissertations

This thesis explores the embodied experience of cycling in Richmond, emphasizing the importance of centering firsthand, lived experience in cycling research and urban planning. While traditional transportation planning can often myopically prioritize efficiency and safety metrics to evaluate infrastructure, this project argues that such approaches overlook essential experiential, sensory, and emotional dimensions of cycling that determine how infrastructure is perceived, used, and ultimately succeeds or fails.

Through an ethnographic approach combining field observation of cyclist behavior and mental mapping sessions with Richmond cyclists, this study positions people who bike in Richmond as expert knowledge holders. Participant contributions, combined with observations …

Contemporary Icebreaking Capacity In The North American Region : Detailing The Present State Of Affairs And Challenges To Be Confronted, Bryan Watts, Dimitrios Dalaklis, Antonios Andreadakis

Articles

No abstract provided.

Connectivity And Selective Rural Migration, Lin Ma, Yuan Mei, Qunfeng Wu, Mingzhi Xu

Research Collection School Of Economics

We study how infrastructure shapes rural development using household panel data from a nationally representative sample of Chinese villages, matched to high-resolution highway maps. Reduced-form results show that road expansion between 2000 and 2015 operates mainly through reallocation, with less productive farmers scaling down or exiting and more productive farmers remaining and expanding. We quantify the aggregate and distributional consequences in a dynamic spatial equilibrium model with heterogeneous households and endogenous migration. Improved connectivity not only accelerates urbanization, roughly doubling the speed of convergence, but also increases aggregate rural output by 2.2 to 5.3 percent in the long run, even …

A Comprehensive Study Of Crash Severity And Its Contributing Factors, Seyedmahyar Madarshahian

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

This dissertation presents a comprehensive analysis of factors influencing crash injury severity across diverse road and work zone environments. Using advanced statistical modeling techniques, it examines crash outcomes in four critical contexts: general road crashes, work zone crashes, truck-involved crashes, and high-speed rear-end collisions. A mixed logit modeling framework with random parameters, incorporating heterogeneity in parameter means and variances, is employed to capture unobserved heterogeneity in crash data. The analyses are further refined through targeted segmentation by speed regime, work zone type, and crash type to identify context-specific risk factors. In addition, a fuzzy cluster analysis is utilized to discern …