*Koji Ohnishi1
(1.Department of Humanities, University of Toyama)
Keywords:GPS, Children, school route
In Toyama City, a wireless network using LPWA was constructed in 2018 as a smart city project. Using this IoT, Toyama city is conducting a project to watch over children on school routes. Every elementary school districts will be surveyed the school routes safety by GPS sensors. These sensors are curried by children with their bags, so that we can grasp the state of going to and from school. The purpose of this study is that I analyze the relationship between regional characteristics and the expansion of children's activity spaces with the data of this project from 2018 to 2020. 30 schools data was obtained in the project from 2018 to 2020. The GPS data is obtained at 1-minute intervals, and was visualized and analyzed on GIS. It was found that most elementary schools go to school in groups, and they use the school route to go to school around at 7:45 when the school entrance opens. As a result, there were places where children stayed around the school, and that it was necessary to give consideration to traffic safety in those areas. In addition, it can be seen that children stay at pedestrian bridges and large intersections. It was also found that when the school district is wide, there is a difference in the morning commuting start time of children. On the other hand, it was found that the time of leaving school differs. It depends on the grade, and the start time of transportation to and from after-school care and lessons. In areas differences, far from the city center, they often are taken out by their parents to go some kinds of lessens to city center area or shopping center especially lower grades. At schools near the city center, it was found that these activities could start after they return to their home. In this way, it became clear that the quality and extent of the children's after-school activity space differed depending on the distance from the central city area.