A Multidimensional Framework for Diagnosing Streetscape Perception in Historic-District Renewal Using Street-View Imagery and Deep Learning
A multidimensional streetscape perception diagnostic framework that evaluates three dimensions: cultural character recognition (CCR), spatial order (SO), and visual comfort (VC) is proposed, thereby providing spatial evidence for conservation-oriented renewal and fine-scale governance of historic districts.