Vehicle automation has the potential to fundamentally reshape travel behavior by reducing the cognitive and physical burden of driving. A large body of research has explored the potential impacts of fully autonomous vehicles on travel demand. However, fully autonomous systems have not yet achieved widespread market adoption, limiting researchers’ ability to study these behavioral changes using real-world data and limiting the current potential of this technology to benefit society. Meanwhile, partial vehicle automation is being adopted and used by consumers. This project uses partial vehicle automation systems (SAE Level 2) as a real-world setting for studying how automation technologies may influence household mobility, travel demand, and transportation system performance. Unlike fully autonomous vehicles, partial automation systems are already integrated into millions of vehicles across a wide range of vehicle types and price points, allowing the study of automation-related behavioral changes under real market conditions. The project combines a nationwide cross-sectional survey merged with Vehicle Identification Number-decoded vehicle specifications and a longitudinal panel of California households. Using econometric analysis, the study will identify the types of travel associated with partial automation adoption and examine which households are most likely to benefit from these technologies. Findings will support transportation agencies and planners seeking to better understand how emerging vehicle technologies may shape regional travel patterns, infrastructure demand, and economic activity.