Abstract
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.
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Acknowledgement
This work was supported by JSPS Grant-in-Aid for Early-Career Scientists (Grant Number 19K20352); the New Energy and Industrial Technology Development Organization (NEDO).
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Xia, T. et al. (2020). CoolPath: An Application for Recommending Pedestrian Routes with Reduced Heatstroke Risk. In: Di Martino, S., Fang, Z., Li, KJ. (eds) Web and Wireless Geographical Information Systems. W2GIS 2020. Lecture Notes in Computer Science(), vol 12473. Springer, Cham. https://doi.org/10.1007/978-3-030-60952-8_2
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DOI: https://doi.org/10.1007/978-3-030-60952-8_2
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