It is important to quantify human heat exposure in order to evaluate and mitigate the negative impacts of heat on human well-being in the context of global warming. This study proposed a human-centric framework to examine human personal heat exposure based on anonymous GPS trajectories data mining and urban microclimate modeling. The mean radiant temperature (T_mrt) that represents human body's energy balance was used to indicate human heat exposure. The meteorological data and high-resolution 3D urban model generated from multispectral remotely sensed images and LiDAR data were used as inputs in urban microclimate modeling to map the spatio-temporal distribution of the T_mrt in the Boston metropolitan area. The anonymous human GPS trajectory data collected from fitness Apps was used to map the spatio-temporal distribution of human outdoor activities. By overlaying the anonymous GPS trajectories on the generated spatio-temporal maps of T_mrt, this study further examined the heat exposure of runners in different age-gender groups in the Boston area. Results show that there is no significant difference in terms of heat exposure for female and male runners. The female runners in the age of 45–54 are exposed to more heat than female runners of 18–24 and 25–34, while there is no significant difference among male runners. This study proposed a novel method to estimate human heat exposure, which would shed new light on mitigating the negative impacts of heat on human health.

为了在全球变暖的背景下评估和减轻热量对人类福祉的负面影响，量化人类的热暴露非常重要。本研究基于匿名 GPS 轨迹数据挖掘和城市小气候建模，提出了一个以人为中心的框架来检查人类个人的热暴露。代表人体能量平衡的平均辐射温度 (T _mrt ) 用于指示人体热暴露。从多光谱遥感图像和激光雷达数据生成的气象数据和高分辨率 3D 城市模型被用作城市微气候建模的输入，以绘制 T _mrt的时空分布图在波士顿都会区。从健身应用程序收集的匿名人类 GPS 轨迹数据用于绘制人类户外活动的时空分布图。通过在生成的 T _mrt时空地图上叠加匿名 GPS 轨迹，本研究进一步检查了波士顿地区不同年龄性别组的跑步者的热暴露情况。结果表明，女性和男性跑步者在热暴露方面没有显着差异。45-54岁的女跑者比18-24岁和25-34岁的女跑者暴露于更多的热量，而男性跑者之间没有显着差异。这项研究提出了一种估计人体热暴露的新方法，这将为减轻热对人类健康的负面影响提供新的思路。