[H-TT20] [EE] Geographic Information Systems and Cartography

[HTT20-11] Spatial Analysis of Tourist Attraction Hot Spots Using the Online Geotagged Photographs of the Photo-sharing Service of Flickr

*Bochra Bettaieb¹, Yoshiki Wakabayashi¹ (1.Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University)

Keywords:photo-sharing service, big data, hot spot analysis, Tokyo

Advancements in information and communication technologies enable us to trace human activities through digital media: networks of fixed or mobile sensors, such as smartphones, GPS, and travel cards, can monitor the timing and locations of human behavior throughout the day. These new sources of geospatial data provide the possibility of analyzing high resolution big data to capture patterns of human spatial behavior in space and time. Online photo-sharing services are comprised of these sources. The aim of this study is to analyze the geocoded photos from the photo-sharing service to make a comparison of the spatial patterns of tourist attractions in Tokyo between Japanese and foreign visitors. The data were downloaded from Flickr, which is one of the most popular online resources for people to share their travel experiences by uploading photos. We used the data of geocoded photos from 2014 (January to December) that were taken within 1 km from Shinjuku, Ginza, and Asakusa stations to compare the tourist attraction hot spots of Japanese and foreign visitors by employing GIS. The results showed some tourist attraction hot spots common to Japanese and foreign visitors in three study areas. In addition, the distribution of foreigners’ photographs showed a higher spatial concentration than those taken by Japanese visitors. However, the difference was not evident for the hot spot in Ginza district.