Similarity based city data transfer framework in urban digitization

Similarity based city data transfer framework in urban digitization

Abstract Cross-city transfer learning aims to apply the knowledge and model from data-rich cities to data-poor cities to solve the cold start problem. Existing methods directly transfer the model constructed from developed cities to underdeveloped cities without considering the similarity between th...

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Bibliographic Details
Main Authors: Haoxiang Wang, Xiaoping Che, Enyao Chang, Chenxin Qu, Ganghua Zhang, Zihan Zhou, Zhenlin Wei, Gengyu Lyu, Pengfei Li
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Urban Digitization
Transfer Learning
City Similarity
Online Access:https://doi.org/10.1038/s41598-025-94987-y
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https://doi.org/10.1038/s41598-025-94987-y

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