Yuan Liao
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.
Showing 28 publications
The Uneven Impact of Mobility on the Segregation of Native and Foreign-born Individuals
Potential of e-bikes to replace passenger car trips and reduce greenhouse gas emissions
Socio-spatial segregation and human mobility: A review of empirical evidence
A synthetic population of Sweden: datasets of agents, households, and activity-travel patterns
Impacts of charging behavior on BEV charging infrastructure needs and energy use
Synthetic Sweden Mobility (SySMo) Model Documentation
A Mobility Model for Synthetic Travel Demand from Sparse Traces
Feasibility of estimating travel demand using geolocations of social media data
Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016
Ride-sourcing compared to its public-transit alternative using big trip data
How drivers respond to visual vs. auditory information in advisory traffic information systems
Disparities in travel times between car and transit: Spatiotemporal patterns in cities
Understanding Driver Response Patterns to Mental Workload Increase in Typical Driving Scenarios
Predictability in Human Mobility based on Geographical-boundary-free and Long-time Social Media Data
Context-Adaptive support information for truck drivers: An interview study on its contents priority
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Showing 3 research projects
Electric Multimodal Transport Systems for Enhancing Urban Accessibility and Connectivity (eMATS)