• Spatial mobility
• Urban informatics
• Human computer interaction

Modeling restorative places from daily mobility data to explore functions of healthy aging
“Have you ever been having an exhausting day, feeling stressed or feeling down but found yourself pleasantly distracted and relaxed after spending time somewhere? “

Changes in feelings and emotions are strongly dependent on the surrounding environment. Some places can help people raise mood and recover from fatigue and stress, providing psychological support. Since a challenge for healthy aging is to promote the mental health and well-being of older adults, understanding how people experience restorative functions in daily life is an effective action towards healthy aging. My project explores restorative places and spatiotemporal patterns of activities by rebuilding the day from daily mobility and self-report data, collaborating with the UZH Healthy Longevity Center.

Supervisors: Dr. Cheng Fu, Prof. Dr. Robert Weibel

“Modeling restorative places from daily mobility data to explore functions of healthy aging”, 13.12.2022, PhD concept talk, Colloquium of Geographic Information Science, University of Zurich

"Understanding Building Energy Efficiency in Glasgow by Multi-source Deep Learning Framework", 1.3.2022. AAG 2022 Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: Urban Visual Intelligence.