Case Study of Mobility Trends in Daily Life in a Motorized City Using Spatiotemporal Information

The arrival of a super-aging society due to demographic changes is a growing concern in many parts of Japan. Ohnishi et al. (2015), through their approach to the problem of shopping refugees using large-scale telephone directory data, selected Maebashi City in Gunma Prefecture (2017-) as the subject of this study and actually conducted a field survey. The city has been selected from the perspective of conducting an actual field survey and conducting an analysis linked to movement trends. In this analysis, an overview of the movement patterns of this data both domestically and internationally was conducted in consideration of anonymity, as well as trends around stations, universities, and other institutions, and a discussion of movement patterns in relation to the effects of weather which is expected to show the trend of human flow in normal period because it is the data before the COVID-19 disaster after 2020.