3 papers
cs.CE2026
Synthetic Human Mobility Data Generation: A Structured Review of Representations, Methods, and Practical Capabilities
Yanbo Pang, Chen Zhong, Song Gao +1
Human mobility data has become an increasingly important component of urban analytics. Although the range of available mobility data sources has expanded substantially, access rema…
cs.LG2024
Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction
Mingfei Cai, Yanbo Pang, Yoshihide Sekimoto
Commuting flow prediction is an essential task for municipal operations in the real world. Previous studies have revealed that it is feasible to estimate the commuting origin-desti…
physics.soc-ph2022
Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data
Takehiro Kashiyama, Yanbo Pang, Yoshihide Sekimoto +1
People flow data are utilized in diverse fields such as urban and commercial planning and disaster management. However, people flow data collected from mobile phones, such as using…