Spatio-Temporal Analysis of Attractive Regions of Seoul Tourists using Geotagged Photos

The purpose of this study is to analyze the tourist characteristics of tourist attractions and cultural areas of tourists who visited Seoul through spatial analysis of photograph posts posted on Flickr. We collected geotagged data from Flickr between January 1, 2013 and December 31, 2017 in downtown Seoul, and classified all users as tourists and residents. After that, RoA, which is the area visited mainly by tourists, was derived and the tendency of visiting RoA was analyzed. In addition, hotspot areas visited by many tourists in Seoul city were also analyzed. A total of 167,410 data were used in the analysis, and the number of users was 3,921. In order to derive RoA, we derive 11 RoA in Seoul and 12 RoA in Seoul by DBSCAN algorithm. In the whole of Seoul, Jongno, Hongdae, Namsan, Shinchon, Gangnam Station, COEX, Itaewon, Jamsil, Street, War Memorial, RoA was derived from Insadong, Namdaemun, Plaza Mayor, Changgyeonggung, and Hangangganggil. In order to confirm the difference of tourism trends of tourists by culture, we confirmed the tourism trends of Asian, American, and European tourists. In addition, Emerging hotspot (EHSA) was used to confirm the temporal and spatial changes of tourist trends.