Photo by Andre Benz / Unsplash

"Big Data" for Human Mobility

Work Oct 20, 2022

This is a spin-off of the DOE CERC-CVC project, aiming to understand human mobility dynamics and implications to transportation sustainability using "big data" and data science methods. In particular, we use large-scale, real-time taxi trajectory data for large cities (e.g., ~20,000 vehicles for 30 days) to characterize mobility dynamics at the individual level. Based on this characterization of individual mobility dynamics, we evaluate environmental implications of large-scale deployment of electric vehicles, optimize the siting of public charging infrastructure for electric vehicles, and assess the environmental benefits of ride-sharing.