The Proceedings of the Transportation and Logistics Conference
Online ISSN : 2424-3175
2021.30
Session ID : SS5-1-4
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Analysis of homecoming behavior during heavy snowfall using mobile spatial statistics
*Takuma SANOChihiro KITAYAMAYuichiro KANEKO
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Abstract

The purpose of this study is to analyze the transition of the staying population during heavy snowfall in the Tokyo area in January 2018 using mobile spatial statistics based on the location information of mobile phones. As a result of the analysis, after 14:00 when the heavy snow warning was issued, the population increased in many municipalities compared to normal times, while it decreased in work areas such as central Tokyo compared to normal times. In particular, in the 5 central wards of Tokyo, the population decreased significantly from 16:00 to 18:00. Furthermore, it was found that those who had a long distance from their place of stay to their place of residence started returning home early.

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© 2021 The Japan Society of Mechanical Engineers
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