Repurposing mesoscale traffic models for insights into traveler heat exposure
Repurposing mesoscale traffic models for insights into traveler heat exposure
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DOI：
10.1016/j.trd.2022.103548
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发表时间：
2022-12-02
影响因子：
7.6
通讯作者：
Watkins，Lance
中科院分区：
文献类型：
--
作者：
Li，Rui;Chester，Mikhail;Watkins，Lance
气候变化将显著增加人们的热暴露，但对个人如何在行为和基础设施的结合中体验热量的了解仍然有限。我们开发了一个模拟平台- Icarus -来估计旅行者的热暴露在个人和人口规模的界面上的旅行行为，微气候和建筑环境。Icarus应用到凤凰城大都市区作为一个案例研究，使用三种不同的温度测量：空气温度（Tair），平均辐射温度（TMRT），和湿球地球仪温度（TWBGT）。案例研究分析表明，不同人口群体的旅行模式（如旅行持续时间和旅行开始时间）影响个人和人群的热暴露。不同的温度测量也导致了对个人热暴露的广泛不同的估计。
Climate change is poised to significantly increase people’s heat exposure, yet there remain limited insights into how individuals experience heat in the conjunction of behavior and infrastructure. We developed a simulation platform - Icarus - to estimate traveler’s heat exposure at both personal and population scales at the interface of travel behavior, microclimate, and the built environment. Icarus is applied to the Phoenix metropolitan region as a case study using three different temperature measurements: air temperature (Tair), mean radiant temperature (TMRT), and wet bulb globe temperature (TWBGT). The case study analysis shows that travel patterns (such as trip duration and the trip start time) for different demographic groups affect personal and population heat exposure. Different temperature measures also resulted in widely varying estimates of personal heat exposure.