Data Modeling and Analytic Tools

Shifts in Work Arrangements and Travel Behavior: A Longitudinal Analysis of Heterogeneous Effects of Teleworking on Commuting and Non-Commuting Travel Based on Seattle Commute Surveys

Following the official end of the COVID-19 pandemic in May 2023, employer policies regarding work arrangements have continued to change dynamically. This proposed project will draw on unique data from the 2022 and 2024 Seattle Commute Surveys to analyze how shifts in work arrangements from the pandemic to the post-pandemic era heterogeneously shape employees’ commuting

Shifts in Work Arrangements and Travel Behavior: A Longitudinal Analysis of Heterogeneous Effects of Teleworking on Commuting and Non-Commuting Travel Based on Seattle Commute Surveys Read More »

Does AI based synthetic travel behavior data replicate human cognitive biases?

This project will develop methods to test for cognitive biases in AI-generated synthetic data used as substitutes for human survey responses in travel behavior analyses. Moving beyond recent benchmarking and prompt engineering work, this project will ask: even when synthetic data look statistically reasonable, do they reproduce canonical cognitive biases that influence travel choices? In

Does AI based synthetic travel behavior data replicate human cognitive biases? Read More »

Evaluating Impacts of Street Repurposing Interventions in U.S. Cities (Phase II)

Cities are increasingly repurposing street space to support pedestrian activity and economic vitality through interventions such as sidewalk cafés, parklets, streateries, and pedestrian plazas. While these interventions are widely implemented, their impacts are often evaluated using limited case studies or coarse spatial data. There is a need for scalable, data-driven approaches to evaluate their effects

Evaluating Impacts of Street Repurposing Interventions in U.S. Cities (Phase II) Read More »

Leveraging Location-Based Services (LBS) Data and Video Analytics for Scalable Intersection Safety Assessment

Intersections are high-risk locations where a significant share of severe crashes occur, particularly those involving pedestrians and other vulnerable road users. Traditional approaches to safety analysis rely on crash records, field observations, or fixed camera systems. While valuable, these methods are often costly, spatially limited, and retrospective, limiting their ability to support proactive, system-wide safety

Leveraging Location-Based Services (LBS) Data and Video Analytics for Scalable Intersection Safety Assessment Read More »

Household Vehicle Holdings and Composition: A Multi-Dimensional Analysis of Body and Fuel Type Choices

Household vehicle ownership is the foundation of personal mobility for the vast majority of American families. The number of vehicles a household owns, and the specific types of vehicles in its fleet, determine how household members access employment, healthcare, education, and services, and directly generate the travel demand that shapes roadway utilization, network performance, and

Household Vehicle Holdings and Composition: A Multi-Dimensional Analysis of Body and Fuel Type Choices Read More »

An Examination of the Adoption and Frequency of Part-Day and Full-Day Telework and the Impacts on Weekly Commute VMT

The COVID-19 pandemic has fundamentally reshaped work arrangements, creating long-term implications for transportation system performance, infrastructure planning, and demand management policy. While telework has received considerable attention, most existing research treats telework as a binary outcome, assuming that workers either commute to a workplace or remain at home for an entire day. This assumption does

An Examination of the Adoption and Frequency of Part-Day and Full-Day Telework and the Impacts on Weekly Commute VMT Read More »

Transportation Satisfaction and Life Satisfaction: Examining the Roles of Attitudes and Personality

Life satisfaction has emerged as an important indicator of how individuals evaluate their overall life circumstances, with increasing relevance for understanding how public infrastructure systems contribute to quality of life. Transportation systems play a central role in enabling access to employment, services, and social interaction, yet their contribution to overall life evaluation remains insufficiently understood

Transportation Satisfaction and Life Satisfaction: Examining the Roles of Attitudes and Personality Read More »

System Diagnosis and Strategic Framing for Transportation Congestion Management in Miami Beach

The City of Miami Beach presents a unique and highly constrained transportation environment in which congestion is driven not only by infrastructure constraints, but also by the interaction of highly variable travel demand, limited access points, curbside activity, signal coordination conditions, commuter and recreational travel interactions, and traveler behavioral responses within a tightly coupled urban

System Diagnosis and Strategic Framing for Transportation Congestion Management in Miami Beach Read More »

Modeling Preferences for Autonomous Vehicle Access Types and Usage Intentions

As autonomous vehicle (AV) technologies continue to advance, it is increasingly important for transportation agencies to understand how individuals will access and use these technologies, as different access models have substantially different implications for travel demand, system performance, and infrastructure investment. This project examines preferences across two primary AV access modes, private ownership and ridehailing-based

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Integrating Transportation Data to Address Representation and Measurement Limitations in Travel Behavior and Demand Analysis

Expanding transportation data availability is creating new opportunities for a richer, potentially more representative, and broader data landscape to support the measurement and modeling of evolving travel behaviors and outcomes. This project addresses the need for clearer guidance on when, where, and how multiple data sources can be integrated to overcome common data limitations in

Integrating Transportation Data to Address Representation and Measurement Limitations in Travel Behavior and Demand Analysis Read More »

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