Exploring the Influence of Environmental Characteristics on Emotional Perceptions in Metro Station Spaces

• Published in: Buildings (Basel) Vol. 15; no. 3; p. 310
• Main Authors: Shi, Hedi, Chen, Jianfei, Feng, Zuhan, Liu, Tong, Sun, Donghui, Zhou, Xiaolu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2025
• Subjects: Affective computing; Anxiety; Coalitions; Commuting; Computational linguistics; Computer vision; Deep learning; Design optimization; Efficiency; emotional perception; Emotions; environmental characteristics; Environmental psychology; Language processing; Machine vision; Medical imaging equipment; metro station spaces; Natural language interfaces; Optimization; Passengers; Perception; Perceptions; public space optimization; Public spaces; Quantitative analysis; Research methodology; Semantic segmentation; Social interaction; Social networks; Spatial discrimination; User behavior; New York; United States; China

With the rapid expansion of urban metro networks, metro stations, as critical public spaces, not only influence transit efficiency and spatial layout optimization but also play a vital role in shaping users’ emotional experiences. This study examines metro station spaces as its primary research subj...