Spatial evaluation and capitalization effect of urban streetscape based on semantic segmentation models: A case study of Hangzhou main urban area(基于语义分割模型的城市街景空间评价与资本化效应研究)

The pursuit of residential environmental quality is a concrete manifestation of residents' aspirations for a better life in the new era, and the surrounding streetscape environment, residential properties gradually become a critical consideration in home purchasing decisions. Current studies on the capitalization effects of neighborhood environments primarily focus on the configuration of public service facilities. To further explore the impact of visual streetscape environments on housing prices, this research employs streetscape data and the SAM (segment anything model) based on deep learning technology to extract visual features of streetscape around residential areas. A hedonic price model is then applied to analyze the influence of these visual features on housing prices across multiple dimensions. The findings reveal that: (1) Streetscape visual features exert a significant impact on housing prices, with variations in willingness to pay for urban streetscape among homebuyers of different purchasing power levels and different urban regions; (2) The effects of streetscape visual indicators on housing prices are nonlinear. Except for sky openness, other streetscape features exhibit threshold effects, homebuyers demonstrate the strongest willingness to pay at some specific thresholds; (3) Interactive capitalization effects exist between streetscape visual indicators and traditional housing characteristics, with streetscape visual indicators serving a complementary role to conventional features.(对居住环境品质的追求体现了新时代居民对美好生活的向往，住宅周边的街景逐渐成为购房者关注的重点。当前，针对住宅邻域环境资本化效应的研究大多专注于讨论公共服务设施的配置，为进一步研究住宅邻域街景视觉特征对住宅价格的影响，采用基于深度学习的语义分割模型（segment anything model,SAM），提取住宅周边街道空间的视觉特征，并基于特征价格模型，从多个维度分析街景视觉特征对住宅价格的影响。结果表明：（1）街景视觉特征对住宅价格具有显著影响，且不同购买力、不同城市区域的购房者对城市街景的支付意愿存在差异；（2）街景视觉特征指标与住宅价格呈非线性关系，除天空开阔程度外，其他街景特征均存在阈值，在阈值附近居民表现出强烈的支付意愿；（3）街景视觉特征指标与传统住宅特征存在交互资本化效应，街景视觉特征指标对传统住宅特征起补偿作用。)