The University of Texas at Austin

Public Transit Automation and the Future of Service Delivery: Scenario Planning for Operations and Workforce Readiness

Public transit agencies are beginning to confront a new generation of automation technologies that will almost certainly alter how service is planned, operated, staffed, and delivered. These technologies include fully automated transit vehicles as well as nearer-term applications in scheduling, dispatching, maintenance, customer information, and operations management. In this project, we will examine how transit

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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

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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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Do Millennials and Zoomers Participate in Teleactivities More and Travel Less Than Older Generations?

This project seeks to bridge two lines of inquiry, both concerning the future trajectory of travel behavior. The first one explores shifts in travel patterns amid the rise of home-based teleactivities – defined here as activities traditionally conducted outside the home but increasingly performed at home through digital technological applications, such as working from home,

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Development of Demand Estimation Methodology for On-street Shared Paths

This is a human behavioral study designed to develop methodology to predict demand for on-street bicycle, scooter, and pedestrian facilities. The current design guidance for on-street bicycle, scooter, and pedestrian facilities does not include specific guidance for predicting numbers of bicycle, scooter, and pedestrian users. The available guidance for such facilities suggests designers should consider

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Multimodal Freight Network Capacity and Resilience Under Demand Shifts

This project will develop methods for identifying bottlenecks in multimodal maritime freight systems as demand patterns shift. Examples of such changes are increased demand due to onshoring of manufacturing industries; competition from alternative shipping modes (rail, overland); and demand changes during natural or man-made disruptions (which may simultaneously cause capacity changes). To address this goal,

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