5 papers
A Knowledge-Grounded Behavioral Reasoning Framework for Training-Free Urban Healthcare OD Prediction
Linzhen Yang, Xueliang Liu, Chengbo Zhang +1
Understanding urban healthcare mobility is essential for healthcare resource allocation, hospital capacity planning, and resilient urban governance. Existing healthcare origin-dest…
LLM-DR: An On-Demand Delivery Simulation Framework for Studying Heterogeneous Rider Behavior and Collective Mobility with Persona-Grounded Large Language Model Agents
Chengbo Zhang, Zuopeng Xiao, Zekai Jin +4
On-demand delivery platforms are computational social systems in which dispatch rules and repeated rider actions jointly shape service and urban mobility. Riders choose whether to…
Deciphering Delivery Mobility: A City-Scale, Path-Reconstructed Trajectory Dataset of Instant Delivery Riders
Chengbo Zhang, Zuopeng Xiao
The rapid expansion of the on-demand economy has profoundly reshaped urban mobility and logistics, yet open data linking multi-stop delivery task sequences with route geometry rema…
Uncover the Dynamic Community Structure of Instant Delivery Network
Chengbo Zhang, Yonglin Li, Zuopeng Xiao
The rise of instant delivery services has reshaped urban spatial structures through the interaction between suppliers and consumers. However, limited research has explored the spat…
Enhancing Multi-level Urban Instant Delivery Management via Infomap-based Hierarchical Community Detection
Chengbo Zhang
Efficient management of on-demand delivery systems is essential for modern urban logistics, especially in densely populated cities with complex spatial layouts. This study introduc…