Evaluation of spatial visual perception of streets based on deep learning and spatial syntax

Abstract Street visual quality improvement plays an important role in urban development. An important direction for street quality research lies in accurately perceiving the spatial quality of urban streets and exploring the connection with street constituents. This study applies deep learning to ex...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Mingyang Yu, Xin Chen, Xiangyu Zheng, Weikang Cui, Qingrui Ji, Huaqiao Xing
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-05-01
Subjects:	Deep learning Street images Spatial syntax Urban planning
Online Access:	https://doi.org/10.1038/s41598-025-03189-z