THA Survey Interactive Data Briefs
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The University of Texas at Austin
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,
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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Data Collection, Weighting, and Modeling Techniques to Estimate Unbiased Population Parameters
Empirical research studies across multiple fields employ data from large surveys for their analysis. In doing so, studies must address such sampling-related issues as non-response, missing data, unequal sampling, and other survey biases. The voluntary nature of most surveys means that, in many empirical applications, data are not randomly selected from the population. Instead, researchers
A Virtual Reality Framework for Analyzing Pedestrian Crossing Behavior and Decision-Making Factors
Pedestrian safety remains a critical concern, with a significant rise in pedestrian fatalities in recent years. In 2022 alone, 7,522 pedestrians died in crashes, marking a troubling 57% rise from 2013 (Smart Growth America, 2024). However, traditional safety research focusing on crash outcomes and infrastructure factors has failed to capture the nuanced behavioral aspects that
Modeling Spatial Dependency of Active Travel Behavior
Active transportation, encompassing walking and cycling, presents a multifaceted solution to contemporary societal challenges. The benefits of widespread active transportation extend beyond environmental improvements through reduced vehicle emissions to include economic revitalization of local businesses through increased foot traffic and public health enhancements by providing an accessible form of physical activity that improves cardiovascular health,
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Potential Use of Large Language Models (LLMs) for Travel Behavior Survey Research
Traditional travel behavior surveys are resource-intensive and constrained by challenges such as small sample sizes, response bias, and high costs. With the rapid advancements in artificial intelligence, particularly LLMs, we now have the opportunity to explore novel, cost-efficient methods for creating synthetic data comparable to real-world survey results. However, the potential of LLMs to contribute
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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
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