Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China

Xijie Xu, Jie Wang, Stefan Poslad, Xiaoping Rui, Guangyuan Zhang, Yonglei Fan

Abstract: Highlights•Graph networks were used to reveal the core and community structure of urban human mobility.•There is a high degree of overlap between dockless bike-sharing mobility hotspots and underground lines.•Urban humans are more likely to congregate towards high influence nodes on weekends.•Congestion in bike-sharing communities is improved on weekends.•Transferring to other public transport is the most popular daily activity type for people riding shared bikes.

External IDs:doi:10.1016/j.jag.2023.103442