横浜みなとみらい21地域におけるWi-Fiパケットセンサによる来訪者人流特性の予備調査

抄録

 Five Wi-Fi packet sensors were installed at the sightseeing hotspots in Yokohama Minato Mirai 21 area to investigate the visitor stay and pedestrian flow characteristics for the purpose to verify the applicability of Wi-Fi packet sensor survey methodology in urban planning, and to provide the reference data for visitor-friendly, disaster responsible city area develop planning. A database was constructed, and the big data analysis tool was developed to have the visitor stay and movement characteristics from various aspect.

 For the visitor trend during a day, the result shows that the number of visitor increases from the morning to its peak time, and then gradually decreases for both weekday and weekend in all monitored site except CIAL Sakuragicho station, although the peak hours on weekday and weekend at each facility are slightly different around the noon. The peak hour in CIAL Sakuragicho maintains certain time around 11:30 to 17:45 in weekday, and 13:30 to 16:30 in weekend. About the long time trend of visitor during the monitoring period, the result shows there is remarkable difference in weekday and weekend in all monitored sites except CIAL Sakuragicho station, about 50% more visitor coming in weekend than weekday, and the number of visitor visiting most is CIAL Sakuragicho station, World porters, Akaranka warehouse, Keihin ferry and Shinko terminal.

 The investigation also discloses that the stays of less than 5 mins in each monitoring spots is overwhelmingly large, and basically the number of visitor stays decreased to about 1/3 ~ 1/2 in each 5 minutes, there is very less visitors stay at a spot more than 30 minutes. Based on this result, it is not appropriate to set up facilities for long-staying customers such as dealers and service facilities around these hot spots. And it is appropriate to install simple and easy-to-read signs as tour and disaster evacuation guidance.

 The analysis also easily shows the most frequent movement happens in the route between Keihin ferry dock and World porters bus stop, the second is the route between World porters and Akaranka warehouse, and there is 40%~80% more movement in each route in weekend than weekday, which was time consuming to have by investigators' counts and hearing surveys. Specific to each sightseeing spot, the most movement destination of CIAL Sakuragicho, Shinko Futo, Akaranka warehouse, and Keihin Ferry dock is World porters, and it is Keihin ferry for World porters. And, about the coming origins of visitor in each spot, World porters is the biggest source for CIAL Sakuragicho, Akaranka warehouse, Keihin Ferry, and Akaranka warehouse is the biggest source for Shinko Futo. Therefore, it is appropriate to place the visitor guidance and rescue information in the route between Keihin ferry dock and World porters, and between World porters and Akaranka warehouse.

 Above result confirmed that the methodology and analysis system based on the data collected by Wi-Fi packet sensor can be continuously used in visitor data collecting over a wide area from various urban plan aspects for long period investigation, which has been a difficult in conventional investigators' counts and hearing survey.