Travel Behavior

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 […]

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

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.

Understanding Household Vehicle Fleet Evolution Read More »

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

Understanding Transportation Investment Priorities in Suburban Communities Read More »

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

The Mobility Dashboard (TMD) Read More »

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

The Mobility Dashboard (TMD) Read More »

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

Emerging Travel Behavior Insights from 2024 National Surveys and Count Data Read More »

Investigating Travel Survey Representativeness: Who’s Missing and What Can We Do?

The core source of data for transportation planning and forecasting comes from household travel surveys. Travel surveys are used to obtain insight into the behavioral decisions of travelers; for example: (1) trip purposes such as work or shopping; (2) means/mode of transport such as car, walk, bus, etc.; (3) travel time; and (4) time of

Investigating Travel Survey Representativeness: Who’s Missing and What Can We Do? Read More »

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

Analysis and Implications of the Vehicle Inventory and Use Survey (VIUS) Read More »

Michigan Mobility Metrics (M3): An Outcome-Focused, Multi-Year Survey Deployment and Data Collection Effort

Transportation modes, technologies, and the broader context within which people travel have evolved rapidly over the last decade. Examples of such changes include the introduction of: new/emerging modes like ridesharing and micromobility, electric and automated vehicle technologies, information and communication devices; and the increase in remote and hybrid work due to COVID-19. It is critical

Michigan Mobility Metrics (M3): An Outcome-Focused, Multi-Year Survey Deployment and Data Collection Effort Read More »

Exploring Top-Down Visual Attention for Transportation Behavior Analysis

This project stands at the intersection of cognitive psychology, AI and computer vision, and transportation safety and efficiency. By focusing on the nuanced ways in which humans allocate their visual attention, and how this can inform the development of artificial intelligence (AI) and machine learning (ML) to aid in self-driving cars, transportation safety automation, and

Exploring Top-Down Visual Attention for Transportation Behavior Analysis Read More »

Scroll to Top