Mode Choice

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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Examining Heterogeneity in Public Attitudes Toward Shared Autonomous Vehicles by User Experience

The rapid development of autonomous driving (also called self-driving or driverless) technologies is transforming the landscape of urban mobility. As a byproduct of autonomous vehicles, the emerging Shared Autonomous Vehicles (SAVs) are increasingly positioned at the intersection of economic viability and competitiveness, time savings and productivity, technological innovation, and transport policy. SAVs are fleet-operated, fully

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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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Improving Mobility Options through Transit Signal Priority (TSP)

TSP seeks to optimize the interaction between busses and the infrastructure, creating a minimum resistance path for transit buses through signalized intersections. TSP may improve travel time reliability (TTR), schedule adherence, and ultimately the quality of service and ridership for transit systems. Bhat and Sardesai explicitly includes of TTR in mode choice, demonstrating the significance

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How Complete are Your City’s Streets? Evaluating the Completeness of Urban Streets Using Big Data and Computer Vision

The main objectives of this project are: (1) development and validation of detection methods on the presence and width of individual elements of complete streets at street level, (2) development of a numeric index and typology to rate the completeness of streets, (3) curation of a publicly accessible database of various elements of complete street

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