A collection of his recent works.
S. Liang, Y. Xu, G. Li, X. Zhang, Q. Li
Travel Behaviour and Society, 2026
To predict where city crowds are heading, is knowing what's nearby enough? This study shows that teaching AI to "look around" neighborhoods and "explore along the road" of transit networks sharpens predictions. Capturing these connections paints a complete picture of how we actually move.
S. Liang, Q. Li, L. Zhuo, D. Zou, Y. Xu, S. Zhou
International Journal of Digital Earth, 2025
To predict where someone is headed, do we need to know why? This study shows that giving AI the "why" makes its predictions much sharper. We find that using a diverse mix of activities works better than sticking to a few safe, accurate categories, even if the specific guesses are imperfect.
Q. Li, S. Liang, Y. Xu, L. Liu, S. Zhou
Health & Place, 2022
Does your commute hide a pollution risk? We measure it in Guangzhou by linking city-wide travel data with mobile sensors, and uncover three distinct patterns based on how and when people travel.
