THA Survey Interactive Data Briefs
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Arizona State University
Understanding Household Vehicle Fleet Evolution
The composition of the U.S. vehicle fleet is changing rapidly in response to emerging technologies, evolving consumer preferences, and shifting prices. Larger vehicles are becoming increasingly popular, with SUVs and trucks representing nearly ¾ of new vehicle sales in 2024. At the same time, consumers are choosing more fuel-efficient vehicles to reduce their operating costs.
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Understanding Transportation Investment Priorities in Suburban Communities
Over the past several decades, suburbs have become home to a majority of Americans, experiencing significant growth, especially in Sun Belt metropolitan regions. Characterized by low-density land use and separated residential and commercial zones, suburban communities face substantial transportation challenges due to heavy reliance on private automobiles. This auto-dependency has led to increased congestion, safety
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Behavior-Aware Evaluation of Emerging Vehicular Technologies
Emerging vehicular technologies such as vehicle-to-everything (V2X) and cooperative driving automation (CDA) have the potential to improve traffic operation and safety. However, their effectiveness hinges not only on technical performance but also on how users (mainly drivers) perceive, interpret, and respond to these systems. Past USDOT-sponsored pilot deployments have demonstrated promising benefits but also revealed
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Future Travel Foresight Catalyst – Phase 3
The Future Travel Foresight Catalyst project combines research, public engagement, and knowledge mobilization to explore and shape the future of travel behavior and demand. Leveraging and building on methodologies and approaches developed and used in the ASU Future of Being Human initiative, the project responds to an urgent need for integrated, transdisciplinary approaches to understand
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The Mobility Dashboard (TMD)
The transportation landscape is undergoing rapid and far-reaching change, fueled by emerging technologies, shifting work arrangements, demographic transitions, and evolving lifestyles and consumer attitudes. These developments are challenging long-standing assumptions in transportation planning – particularly those related to the stability of travel behavior, the predictability of demand, and the foundational drivers of mobility choices. As
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The Mobility Dashboard (TMD)
The transportation landscape is undergoing rapid and far-reaching change, fueled by emerging technologies, shifting work arrangements, demographic transitions, and evolving lifestyles and consumer attitudes. These developments are challenging long-standing assumptions in transportation planning – particularly those related to the stability of travel behavior, the predictability of demand, and the foundational drivers of mobility choices. As
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Emerging Travel Behavior Insights from 2024 National Surveys and Count Data
The U.S. Census conducts three annual surveys that offer transportation analysts valuable insights into travel behaviors and trends: the American Community Survey (ACS), the American Time Use Survey (ATUS), and the Consumer Expenditure Survey (CE). With a multi-decade history, these surveys allow analysts to track changes over time and discern long-term trends. This data can
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Evolution of Mode Choice: Examining the Relationship Between Telecommuting and Transit Use
This project aims to quantify the impacts of telecommuting on transit use. Data for this analysis is derived from the 2019 and 2023 editions of the Puget Sound Regional Council (PSRC) household travel survey and a joint model of telecommuting and transit use frequency is estimated to understand the nature of the relationship in the
Analysis and Implications of the Vehicle Inventory and Use Survey (VIUS)
To better understand the future of travel behavior and demand this research effort will explore the National Vehicle Inventory and Use Survey (VIUS). There is a keen interest in this survey as a result of the fact that a growing share of all travel is non-household-based travel for freight commercial and service functions. These functions
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