通过多模态社交媒体城市景观帖子的集体情感感知评估城市街道景观：基于R-ECoT的可解释框架

Urban street views shape everyday urban experience, yet their assessment still relies largely on researcher-defined indicators and structured elicitation, with limited use of naturally occurring public responses. This study develops an interpretable framework that transforms social-media image–comment interactions into eight-dimensional collective emotional appraisals of urban scenes. Under approved access, 1078 Facebook and Instagram cityscape posts and 20,546 comments were retrieved through the SOMAR Virtual Data Enclave. Comment-derived Plutchik labels were assessed through human validation