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城市街道景观视觉与情感感知的关联机制OA

The Correlation Mechanism Between Visual and Emotional Perception of Urban Streetscapes:An Empirical Study Based on Street View Images

中文摘要英文摘要

城市街道景观感知是评估街道空间品质的重要指标.现有研究多聚焦视觉感知或情感感知单一维度,二者间的关联机制尚不明确.本研究旨在系统量化视觉感知指标(绿视度、开阔度、围合度、形象度)与情感感知指标(安全感、活力感、美感、富裕感、压抑感、无聊感)的关联机制.研究选取广州、深圳、海口三个城市,基于116 353张街景图像的语义分割数据,通过相关性分析发现:①视觉与情感指标间存在显著相关(P<0.01),相关系数介于-0.379~0.439;②绿视度对积极情感呈正相关、对消极情感呈负相关;③开阔度和围合度的影响具有显著的城市特异性,反映城市形态与文化的调节作用;④深圳的形象度与美感相关性(r=0.070)显著高于其他城市,突显设计质量的重要性.本研究为中国城市情境下视觉与情感感知关系提供了系统实证证据,揭示了城市间感知机制的差异性特征,为本土化的街道景观评价与设计优化提供科学依据.

Urban streetscape perception serves as a critical indicator for evaluating the quality of street space.The existing research has predominantly focused on either visual perception or emotional perception as singular dimensions,leaving the association mechanism between them inadequately understood.This paper aims to systematically quantify the correlation mechanism between visual perception indicators(green view index,openness,enclosure,and image quality)and emotional perception indicators(perceived safety,vitality,aesthetics,affuence,depression,and boredom).This paper selects three cities of Guangzhou,Shenzhen,and Haikou,and carries out correlation analysis based on the semantic segmentation data derived from 116 353 street view images.It is found tha t ①there is significant correlation between visual and emotional indicators(P<0.01),with correlation coeffcients ranging from-0.379~0.439.②Green view index exhibits positive correlations with positive emotions and negative correlations with negative emotions.③The effects of openness and enclosure demonstrate significant city-specific variations,reflecting the moderating role of urban morphology and culture.④The correlation between image quality and aesthetics in Shenzhen(r=0.070)is significantly higher than that in other cities,highlighting the importance of design quality.This paper provides systematic empirical evidence for the relationship between visual and emotional perception within the Chinese urban context,reveals the differential characteristics of perception mechanisms across cities,and offers a scientific basis for localized streetscape evaluation and design optimization.

陈家诚;林世平

海南大学热带农林学院海南大学热带农林学院

建筑与水利

景观感知街景图像深度学习量化评价

landscape perceptionstreet view imagedeep learningquantitative evaluation

《城市建筑》 2026 (19)

1-5,21,6

国家自然科学基金项目"耗散理论视野下街道空间活力形成机理实证研究——以海南湿热型旅游城市为例"(52268011)

10.19892/j.cnki.csjz.2026.19.01

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