Reinterpreting Vehicle Ownership in the Era of Shared and Smart Mobility
Emerging transportation technologies like autonomous vehicles and services like on-demand shared mobility are casting their shadows over the traditional paradigm of vehicle ownership. Several countries are witnessing stagnation in overall car use, perhaps due to the proliferation of access-based services and changing attitudes of millennials. Therefore, it becomes necessary to revisit this paradigm, and reconsider strategies for modeling vehicle availability and use in this new era. This thesis attempts to do that through three studies that contribute to the methodological, conceptual, and praxis literatures. The first study proposes a hybrid modeling methodology that leverages machine learning techniques to enhance traditional behavioral discrete choice models used in practice. The second study shifts the focus from vehicle ownership to vehicle availability in the form of mobility bundles. The third study evaluates the effectiveness of car-lite policies that seek to replace private vehicle usage with shared and smart mobility services.