Withdrawn paper explores urban demand prediction using radiation and attraction

This paper, which has since been withdrawn, proposed a novel deep learning framework for origin-destination (OD) demand prediction in urban development. It aimed to improve upon existing methods by incorporating the functional differences of urban regions, specifically their radiation and attraction capacities. The model utilized a bilateral branch network with region attributes and a hypergraph-based method to capture capacity transformations, along with adversarial learning to model inter-region competition. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Withdrawn research; minimal direct impact on AI operators.

RANK_REASON The item is a withdrawn academic paper.

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• arXiv
• Zepeng Bao

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