Spatio-Temporal Analysis of Attractive Regions of Seoul Tourists using Geotagged Photos (지오태깅된 사진 데이터를 활용한 서울방문 관광객의주요 관광지 분석)

Nayeon Kim (김나연); Youngok Kang (강영옥)

doi:10.16879/jkca.2019.19.1.035

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

Journal of the Korean Cartographic Association
Abbr : JKCA
2019, 19(1), pp.35-46
DOI : 10.16879/jkca.2019.19.1.035
Publisher : The Korean Cartographic Association
Research Area : Social Science > Geography > Geography in general > Cartography
Received : March 26, 2019
Accepted : April 9, 2019
Published : April 30, 2019

Nayeon Kim ¹, Youngok Kang ²

¹이화여자대학교 사회교육과
²이화여자대학교

Accredited

ABSTRACT

The purpose of this study is to analyze the tourist characteristics of tourist attractions and culturalareas of tourists who visited Seoul through spatial analysis of photograph posts posted on Flickr. We collectedgeotagged data from Flickr between January 1, 2013 and December 31, 2017 in downtown Seoul, and classifiedall users as tourists and residents. After that, RoA, which is the area visited mainly by tourists, was derivedand the tendency of visiting RoA was analyzed. In addition, hotspot areas visited by many tourists in Seoulcity 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 wholeof 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 orderto confirm the difference of tourism trends of tourists by culture, we confirmed the tourism trends of Asian,American, and European tourists.

KEYWORDS

Social network service, Flickr, Tourist classification, RoA, DBSCAN

Citation status

* References for papers published after 2023 are currently being built.

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[web] / ESRI / https://pro.arcgis.com

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Journal of the Korean Cartographic Association 2023 KCI Impact Factor : 1.34

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

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Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Cartographic Association 2023 KCI Impact Factor : 1.34

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

ABSTRACT

KEYWORDS

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