2024 Volume 80 Issue 20 Article ID: 24-20118
The decline in the liveliness of city centers, especially in rural areas, has become a major issue. It is important to understand the factors that promote the circulation of visitors to the city center in order to create a more bustling area. In this study, we used GPS big data from cell phones to understand the behavioral characteristics of visitors in the central area of Kashiwa City, Chiba Prefecture, and to explore the factors that contribute to their circulation. The GPS data used in this study was obtained from a cell phone application. First, a facility selection model was constructed using MNL, and it was shown that visitors tended to select buildings with relatively large stores where they can play, eat, and shop. Next, we analyzed the relationship between building use and each of the following indicators: time spent in the building, distance traveled, and area traveled. The results showed that the time spent by users of clothing stores in Kashiwa was short and the range was narrow. Through the analysis, the applicability of application-type GPS data was explored, and a method for handling the data was presented.
