From Visual Scores to Joint Shortfalls: Model-Estimated Streetscape Perception in Central Urban Shanghai

Image-based streetscape assessments commonly report separate perception scores or an aggregate index. Joint profiles additionally identify which unfavorable scores occur together. We examine joint lower-tail profiles of transferred safety, beauty, and liveliness estimates in 2304 grid cells represented by 48,011 street-view records from central urban Shanghai. A Perceptual Streetscape Assessment Chain separates visible content, estimated impressions, joint shortfalls, and contextual distribution. The Spatial Multidimensional Tail-Equity (SMTE) model represents eight profiles jointly and derives compound and dimension-specific probabilities with multilevel and spatial structure. At the primary lower-quartile threshold, 24.44% of cells had at least two low scores. Strong empirical overlap between safety and beauty made domain construction central to the interpretation of this classification. In this specification, the clearest conditional price-rank difference concerned low liveliness; its interval-based support varied across alternative thresholds. Mathematical exchanges toward greenery were associated with lower fitted compound risk under the specified composition model. The contribution is a profile-based screening approach that makes dependence and identification choices explicit. Its findings concern relative model-estimated visual conditions and housing-price contexts within the sampled central urban area, with resident ratings and household circumstances defining further targets for locally grounded evaluation.