Postdoctoral Science Foundation of China

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The research project aims to infer individual activity space features from multi-source big data, identify the boundaries of metropolitan areas based on inferred multi-dimensional features, and reveal the spatial structure of metropolitan areas from the dual perspectives of “urban function” and “interaction”.

Qili Gao (高琦丽)
Qili Gao (高琦丽)
Assistant Professor

My research interests include human dynamics and urban informatics.