11:30 〜 11:45
[HTT16-04] Visualizing the areas of interest of foreign visitors and their temporal changes by using online geotagged photograph
キーワード：Flickr、可視化、空間分析、ソーシャルメディア、ツーリズム
Geotagged social media records can be used to capture the digital footprint of human spatial behavior within a city. The authors demonstrated the potential of these data by using information from the photo-sharing service of Flickr to compare the distribution of the “areas of interest” (AOIs) of visitors in central Tokyo according to their country of residence. However, it is unknown how the distribution of the AOIs change. The aim of this study is to visualize the spatial patterns and temporal changes in the AOIs of foreign visitors. We selected the top three major tourism sites (Shinjuku, Ginza, and Asakusa) in Tokyo according to the Survey Report of Foreign Travelers Behavior published by the Tokyo Metropolitan Government. Data used in this study was derived from geotagged photos on Flickr uploaded in 2014 and 2018. Among them, we collected photos taken within 1.5 km of the three stations located in these major tourism sites. We further chose 6,282 photos taken by the owners from Asian (excluding Japan) and European countries. We complementarily employed three methods (dot & mesh map, density map, and map algebra) to visualizing the difference between the country of an owner and its change. In the dot & mesh map, point features were aggregated into a rectangular polygon with a 100-m grid square, and the hot spot analysis of the Getis-Ord’s G* Statistics was applied. The density map was made by using kernel density estimation. Map algebra was employed to visualize the spatial pattern of the difference between the country of an owner and its temporal change. Results obtained showed some differences in the distribution of AOIs between visitors from Asia and Europe. This may reflect a cultural difference in the preference of tourism sites and travel behavior. Further, the distribution of AOIs changed between 2014 and 2018, which reflects the environmental change caused by the redevelopment project in this period. Different methods for visualizing the spatial distribution of AOIs can provide a multilateral analysis of the behavior of tourists and perception of tourism sites.