“With the rise of new vehicle technologies, the rapid growth of major urban centers across the globe, and critical environmental concerns, innovative approaches are required to analyze the impacts on our transportation systems and quality of life. Gathering the most current land-use, economic, mobility, development and behavioral data for 330 major cities, we apply exploratory clustering analyses and a novel latent-class choice model in the discovery of ten urban typologies. Based on these, I show how representative prototype cities are generated and prepared for simulation. Finally, I present a scenario discovery approach that addresses the uncertainties in the space of urban mobility futures to find robust policy and technology strategies for desirable outcomes. Using a state-of-the-art agent-based urban mobility simulator, I demonstrate how a few of these strategies can be explored at the day-to-day level. The ultimate aim is to develop a framework to quantify the relevant individual and system-wide implications for emerging and future urban mobility environments.”