Travel Behavior

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

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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

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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

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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

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Characterizing Operational Disruptions in Urban Freight Networks: Patterns, Propagation, and Recovery Behaviors in Atlanta

Urban freight systems are subject to recurring disruptions that can degrade travel time reliability and operational efficiency. Despite their cumulative effects on freight movement and supply chain performance, these disruptions remain relatively understudied at the network level, particularly when only publicly funded and openly accessible data are used. This project develops a data-driven analytical framework

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Generative AI-based Framework for Modeling Longitudinal Travel Behavior Adaptation Under Transportation Interventions

Transportation agencies deploy a wide range of interventions to influence travel behavior and manage demand. While a broad range of approaches have been used to model travel behavior dynamics, modeling how behavioral responses manifest, strengthen, or decay over repeated exposure to transportation interventions remains relatively underexplored. This project will address this gap by developing a

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Investigating the Stability and Evolution of Transportation-related Attitudes: Evidence from Two Longitudinal Survey Samples

Despite extensive evidence linking attitudes to behavior in the academic literature, challenges in measuring and forecasting attitudes remain key barriers to incorporating travelers’ attitudes into practice-oriented regional travel demand models. Recent studies have focused primarily on addressing measurement challenges, exploring and validating several approaches including the marker variable approach, which involves including an abbreviated set

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Towards Building-Level Modeling: Human-Driven Agentic Workflows for Multi-Source Data Synthesis

Travel demand modeling is limited by the aggregation problem: data are often synthesized at census-tract or traffic-zone scales that obscure building-level mobility patterns. This project develops a human-directed agentic workflow in which a transportation planner orchestrates specialized artificial intelligence agents that discover, evaluate, and integrate open geospatial data from sources such as OpenStreetMap, building footprint

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The Infrastructure-Perception Gap: Examining the Role of Transportation Infrastructure in Mediating Safety Perceptions for Active Travel

While extensive research demonstrates that perceived safety influences active travel behavior, the relationship between safety perceptions and transportation infrastructure characteristics remains inadequately understood. Traditional safety studies rely primarily on crash data, which often fails to align with how travelers perceive safe environments. This research addresses a critical gap by investigating how transportation infrastructure mediates safety

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