Author

Ren-He Jiang

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#artificial intelligence Preprint Oct 2026

Encounter-Driven City-Scale Human Mobility Generation with Large Language Models

Large language models (LLMs) have shown strong potential for human mobility generation by modeling individual routines, activities, and mobility preferences. However, existing approaches remain largely resident-centric: generating realistic individual trajectories does not necessarily recover the encounters that emerge...

Chao Li, Ren-He Jiang, Chuan Xiao et al. · 0 citations

#machine learning Preprint Oct 2026

MotiveMob: Motivation as Semantic Action for Closed-Loop Human Mobility Generation

Human mobility generation, an important task in urban research, synthesizes trajectory data for urban planning and transportation management. Human mobility can be characterized as a"why-where-when"decision process: people form an intention to move and then determine where and when the corresponding activity will take...

Meng-Kun Gao, Zeng-Qing Wu, Ren-He Jiang et al. · 0 citations