Downscaling human mobility data based on demographic socioeconomic and commuting characteristics using interpretable machine learning methods

Yuqin Jiang, Andrey A. Popov, Tianle Duan +1

Understanding urban human mobility patterns at various spatial levels is essential for social science. This study presents a machine learning framework to downscale origin-destinat…