Modeling and Planning for Future Multimodal Transportation with Household-owned Automated Vehicles

Privately owned autonomous vehicles (PAVs) introduce new travel behaviors, such as remote parking, returning home, and serving other household members, potentially increasing vehicle miles traveled (VMT). This dissertation examines PAV travel patterns, assesses their impact on transportation systems, and proposes design and policy measures to enhance mobility. While the exact performance of AVs on road networks remains uncertain, the findings indicate that PAV deadheading could negatively affect transportation systems. As the AV era approaches, planners must develop strategies that minimize deadheading miles. The advancements and insights in this dissertation provide a foundation for addressing these challenges and preparing for the impact of AVs.