Data Modeling and Analytic Tools

Disabled Parking CV: Scalable Methods to Analyze Disability Parking Using Computer Vision and High-Resolution Aerial and Streetscape Images

People with disabilities disproportionately rely on public transportation to access employment, education, and healthcare services; however, public transit is not always available or equally distributed, which excludes social and community participation (Bascom & Christensen, 2017). Car transit is thus the only viable alternative. Since the Americans with Disability Act (ADA) of 1990, 4-8% of public

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Quasi-Sparsity in Transportation Origin-Destination Demand

Quasi-sparsity (QS) indicates that for a large-scale transportation network, most origin-destination (OD) demands are concentrated on a small fraction of the OD pairs, while majority of the OD pairs exhibit small (maybe non-zero) travel demands. One example is the King County network (the area that includes the City of Seattle in the State of Washington):

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A Multidimensional Analysis for Understanding Walking Habits in Older Adults Post-Pandemic

This study addresses a critical gap in the literature by offering a novel analytical lens to understanding walking behaviors among older adults in the post-pandemic era. The walking survey of older adults in the US population to be used in the proposed research was undertaken through the Foresight 50+ Consumer Omnibus panel survey, which constitutes

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The Reverse Side of Online Shopping: Examining Sociodemographic and Built-Environment Determinants of Delivery Returns

E-commerce growth has transformed retail, offering unparalleled convenience but causing a surge in product delivery returns. Industry reports show 30% of online purchases are returned, compared to 9% for brick-and-mortar stores, resulting in an $817 billion financial burden in 2022, with online retail accounting for a quarter. The impacts extend beyond finances, straining logistics and

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An Evaluation of the Long-Term Effects of the COVID-19 Pandemic on Public Transportation Use

Public transportation has experienced rapid changes in ridership over the past several years, driven by the COVID-19 pandemic. Numerous studies have focused on how health concerns and social distancing/lockdown measures during the pandemic resulted in the immediate decline in public transportation usage. For instance, in many cities within the US, transit ridership declined to a

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Empirical Investigation of Post-Disaster Travel Behavior to Points of Distribution of Relief Supplies

The world has seen a surge in extreme weather events and increased challenges of disaster response. One overlooked factor complicating the distribution of relief supplies is the immediate decisions survivors make when seeking aid, which impacts the realized demand at various points of distribution (PODs) of relief supplies. This project aims to understand these critical

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Promoting Sustainable Travel within Communities through Behavioral Interventions and Emerging Mobility Solutions: Stage 2

The primary objective of the project is to systematically nudge communities towards societal travel goals of mobility, accessibility, environmental sustainability, and equity by addressing the challenges of low adoption of sustainable travel modes (e.g., transit, walking, biking) and limited access to societal services/activities (e.g., jobs, medical, grocery stores) for disadvantaged groups (e.g., travelers in transit

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How Effective Are Attitudinal Variables at Improving Travel Behavior Models? Evaluation Using an Overlapping Sample From an Attitude-Rich Survey and the 2017 National Household Travel Survey

A line of research has recently been launched on attitude imputation using machine learning (ML) functions trained on variables common to two survey datasets (Mokhtarian, 2024). It was discovered that using a handful of attitudinal marker variables (i.e., the one or two attitudinal items most strongly associated with each attitude) as common variables for imputation

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