CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk
CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk
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DOI：
10.1007/978-3-030-60952-8_2
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Tianqi Xia;A. Jatowt;Zhaonan Wang;Ruochen Si;Haoran Zhang;Xin Liu;R. Shibasaki;Xuan Song;Kyoung-Sook Kim
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文献类型：
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作者：
Tianqi Xia;A. Jatowt;Zhaonan Wang;Ruochen Si;Haoran Zhang;Xin Liu;R. Shibasaki;Xuan Song;Kyoung-Sook Kim
全球变暖和城市化使中暑成为一种严重的紧急疾病，特别是对于大城市的夏季白天。尽管许多研究都集中在与热相关的分析或开发行人的通用路线应用程序上，但很少有研究专门为行人提供路线服务，以降低他们的中暑风险。在这项研究中，我们提出了一种新颖的路线系统，可以使用异构数据根据估计的中暑风险推荐行人路线，并为所提出的应用程序进行了详细的系统设计。
Global warming and urbanization have made heatstroke a serious emergency disease especially for large cities in summer daytime. Although a lot of studies have focused on the heat-related analysis or on developing general routing applications for pedestrians, few have aimed at providing routing services for pedestrians specifically to reduce their heatstroke risk. In this research, we propose a novel routing system that can recommend pedestrian routes based on the estimated heatstroke risk using heterogeneous data and we conduct a detailed system design for the proposed application.