Artificial Intelligence and Data Science
Online ISSN : 2435-9262
EVALUATION OF REGIONAL CHARACTERISTICS IN THE CENTRAL CITY UTILIZING MOBILE SPATIAL STATISTICS WITH ATTRIBUTE INFORMATION -FOCUSING ON BEFORE AND AFTER EXPANSION OF COVID-19 INFECTION IN CENTRAL URBAN AREA IN KANAZAWA CITY-
Yota YUMOTOAkira DEMIZUMakoto FUJIUJunichi TAKAYAMA
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JOURNAL OPEN ACCESS

2021 Volume 2 Issue J2 Pages 284-294

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Abstract

In many local cities, the government is facing a decline in the liveliness of the central city due to the declining birthrate, aging population, and motorization spiral. In order to revitalize the local area, it is im-portant to focus on the flow of people and to consider measures for citizens and tourists, taking into account the population staying in the area. In this study, we analyzed the changes in behavioral characteristics caused by the spread of the new coronavirus infection in four regions based on a questionnaire survey and mobile spatial statistics data with attribute information. The results showed that the behavioral characteris-tics of the new coronaviruses changed in four regions. The results showed that the regional characteristics of the four meshes differed depending on the time of day and period due to the expansion of COVID-19, and that the differences between the central city axis area and the residential area were particularly large.

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© 2021 Japan Society of Civil Engineers
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