研究街景对餐饮店评分的影响，发现开车依赖城市中街景作用减弱。
Do Streetscapes Still Matter for Customer Ratings of Eating and Drinking Establishments in Car-Dependent Cities?
- 用计算机视觉分析照片和街景图，量化安全与美观度
- 街景质量在开车依赖区对评分影响变小，室内外环境更关键
- 适合城市规划、商业选址与体验设计者参考
本研究探讨了室内与室外美学、街景及社区特征如何影响华盛顿特区不同汽车依赖程度的城市环境中餐饮场所（EDEs）的顾客满意度。通过分析用户评论中的照片与街景图像，利用计算机视觉模型量化感知安全性与视觉吸引力，并采用有序逻辑回归分析其对Yelp评分的影响。结果显示，室内与室外环境均显著影响餐饮场所评分，而街景质量在汽车依赖型区域的影响减弱。研究强调应根据不同城市情境，融合室内外因素进行精细化规划，以提升多样化环境下的顾客体验。
原文摘要 · Abstract (English)
This study examines how indoor and outdoor aesthetics, streetscapes, and neighborhood features shape customer satisfaction at eating and dining establishments (EDEs) across different urban contexts, varying in car dependency, in Washington, DC. Using review photos and street view images, computer vision models quantified perceived safety and visual appeal. Ordinal logistic regression analyzed their effects on Yelp ratings. Findings reveal that both indoor and outdoor environments significantly impact EDE ratings, while streetscape quality's influence diminishes in car-dependent areas. The study highlights the need for context-sensitive planning that integrates indoor and outdoor factors to enhance customer experiences in diverse settings.
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