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[126] A Study on Pedestrian Flow Analysis in Urban Areas Using Wi-Fi Packet Sensors
Keywords:Wi-Fi packet sensor, Mobile spatial statistics, Pedestrian Behavior
With the spread of smartphones, big data collected through mobile phone have been popular. There are an increasing number of studies that focused on pedestrian flow using Wi-Fi packet sensors, which can be installed at arbitrary points at low cost. Besides, many studies that integrate various types of big data. In this study, we developed a method for identifying private Wi-Fi addresses based on Wi-Fi packet data. Then we merged that data with mobile spatial statistics and the pedestrian volume surveys to develop a method for estimating the number of people out, route traffic volume, and inter-zone travel in the area. The validity of the analysis was confirmed by comparing the actual data.