This study evaluates the reliability of the “Go-and-Stop” mobile method for collecting spatial thermal data in urban environments. Field measurements were conducted using six fixed weather stations installed in diverse spatial contexts and a mobile station following a route on a university campus in South Korea. While the mobile station accurately measured air temperature (Ta), wind speed (Va) exhibited variability, with errors between 25 % and 36 %, indicating a need for improved techniques. Globe temperature (GT) and mean radiant temperature (MRT) showed lower accuracy under lower sky view factor (SVF) (< 0.2) compared to areas with higher SVF (> 0.5). Statistical analysis confirmed that spatial factors like SVF affect accuracy, with a tendency to underestimate cooling effects in shaded areas using mobile measurements. In shaded and windy areas under building piloti, GT and MRT predictions were insignificant, requiring supplementary fixed measurements. The results highlight that in high SVF areas, GT and MRT accuracy aligns with Ta, while further research is needed in low SVF conditions. This study confirms the effectiveness of the Go-and-Stop method, taking into account spatial characteristics (e.g., SVF), while also identifying its limitations.

中文翻译：

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基于步行的移动测量：检查其在城市环境中空间热特性的可靠性


本研究评估了 “Go-and-Stop” 移动方法在城市环境中收集空间热数据的可靠性。使用安装在不同空间环境中的六个固定气象站和一个沿韩国大学校园路线的移动站进行现场测量。虽然移动站准确测量了空气温度 （Ta），但风速 （Va） 表现出可变性，误差在 25% 到 36% 之间，表明需要改进技术。与较高 SVF 的区域 （> 0.5） 相比，在较低的天空视因子 （SVF） （< 0.2） 下，球形温度 （GT） 和平均辐射温度 （MRT） 的精度较低。统计分析证实，SVF 等空间因素会影响准确性，使用移动测量往往会低估阴影区域的冷却效果。在建筑领航员下的阴凉和多风区域，GT 和 MRT 预测不显著，需要补充固定测量。结果表明，在高 SVF 区域，GT 和 MRT 精度与 Ta 一致，而在低 SVF 条件下需要进一步研究。本研究证实了 Go-and-Stop 方法的有效性，同时考虑了空间特征（例如 SVF），同时也确定了其局限性。