Icelab visiting researcher Yuan Liao presents 'Transforming Urban Mobility: Towards Data-Informed Environmentally and Socially Sustainable Transport Systems' in IceLab November 27th 11.00, in IceLab's Living Room and in Zoom.
In this presentation, I introduce my research: using large-scale mobility data to steer urban mobility toward environmental sustainability and social equity. I begin with a methodological approach that fuses anonymized mobile-phone data, census records, GIS layers, and advanced models to capture fine-grained spatiotemporal travel behavior. Next, I present measures of social mixing based on individual mobility trajectories, highlighting how they shape exposure to diverse social contexts. Finally, I share ongoing work leveraging network embeddings to better understand socio-spatial segregation.
Drop in to IceLab (find using mazemap) or join via Zoom: IceLab Living Room Zoom 612 568 7586
Visiting researcher Yuan Liao is a Postdoctoral fellow in Physical Resource Theory, Space, Earth and Environment at Chalmers University. Yuan Liao works at the intersection of data science and human mobility. Her research vision is the data-driven understanding of human mobility to empower the environmentally and socially sustainable transformation of global cities. The vision highlights using big and continuous data from newly emerged sources, such as mobile phones. Her research interests include urban mobility, social segregation, and sustainable transport.
Yuan Liao
Postdoc, Physical Resource Theory, Space, Earth and Environment, Chalmers University