This research delves into the influence of shade on pedestrian activities, employing a comprehensive mixed-methods approach along the primary thoroughfares of Colombo, Sri Lanka. Google Street View photographs served as the primary data source for this spatial analysis. Hotspot analysis and spatial autocorrelation were utilized to depict the spatial distribution of shade and establish its correlation with pedestrian activities. The spatial analysis results revealed a consistent pattern of shade concentration aligning with areas of heightened pedestrian activities. The findings hold significant implications for urban planning and design practitioners, as well as policymakers.

中文翻译：

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遮阳对行人活动的影响——斯里兰卡科伦坡市的混合方法研究

这项研究在斯里兰卡科伦坡的主要道路上采用了综合混合方法，深入研究了阴影对行人活动的影响。谷歌街景照片作为该空间分析的主要数据源。利用热点分析和空间自相关来描述阴影的空间分布并建立其与行人活动的相关性。空间分析结果揭示了与行人活动频繁的区域一致的阴影集中模式。研究结果对城市规划和设计从业者以及政策制定者具有重要意义。