My lab studies 'human' aspects of sustainable mobility systems with a focus on transformative sharing and on-demand systems. We develop data-collection tools and develop innovative models to understand the lifestyles, values and attitudes of citizens and communities that participate in these new techno-social systems. My research typically combines methods including discrete choice and other behavioral modeling, statistical analysis, factor analysis and other unsupervised learning methodologies, qualitative data collection such as focus groups, as well as large scale surveys and network data. The lab is engaged both in developing methods to collect data and in specifying mathematical models of behavior that can account for factors that are not dealt with in economic choice models (such as social determinants, environmental concern, user experiences/engagement, simplified decision rules).