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Mapping Socio-Economic Divides with Urban Mobility Data
Yingche Liu, Mengyang Li
https://arxiv.org/abs/2510.08598 https://arxiv.org/pdf/2510.08598

Mapping Socio-Economic Divides with Urban Mobility Data
The massive digital footprints generated by bike-sharing systems in megacities like Shanghai offer a novel perspective on the urban socio-economic fabric. This study investigates whether these daily mobility patterns can quantitatively map the city's underlying social stratification. To overcome the persistent challenge of acquiring fine-grained socio-economic data, we constructed a multi-layered analytical dataset. We annotated 2,000 raw bike trips with local economic attributes, derived from …