Analysis of Travel Patterns of Seoul Tourists by Trajectory Data Mining (궤적 데이터 마이닝을 통한 서울방문 관광객의이동 특성 분석)

Juyoon Lee (이주윤); Youngok Kang (강영옥); Nayeon Kim (김나연); Dongeun Kim (김동은); Yeahrim Park (박예림)

doi:10.16879/jkca.2018.18.3.117

Analysis of Travel Patterns of Seoul Tourists by Trajectory Data Mining

Journal of the Korean Cartographic Association
Abbr : JKCA
2018, 18(3), pp.117-129
DOI : 10.16879/jkca.2018.18.3.117
Publisher : The Korean Cartographic Association
Research Area : Social Science > Geography > Geography in general > Cartography
Published : December 31, 2018

Juyoon Lee ¹, Youngok Kang ¹, Nayeon Kim ¹, Dongeun Kim ¹, Yeahrim Park ¹

¹이화여자대학교

Accredited

ABSTRACT

This study developed trajectory data based on Flickr, which is one of social networking service that includes location information, and analyzed the traveling characteristics of tourists who visited Seoul. We collected 39,157 geotagged photos from 1,476 tourists who visited Seoul from January 1 of 2015 to December 31 of 2017. The tourists stayed 5.12 nights on average on their first visit and re-visited Seoul about 1.27 times. The first tourist attraction they visited in Seoul was mainly Jongno and Namsan, followed by Shinchon and Hongdae and Itaewon. According to our analysis focused on movement patterns of tourists, the results indicated that the tourists’ main destination was Jongno and Namsan, and the visitors tended to move to the neighboring areas. The data and methodology used in this study will contribute to make the tourist behavior analysis more efficient and diverse.

KEYWORDS

Social network service, Flickr, Trajectory, Trajectory data mining, Marcov chain, Apriori

Citation status

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

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

Analysis of Travel Patterns of Seoul Tourists by Trajectory Data Mining

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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

Analysis of Travel Patterns of Seoul Tourists by Trajectory Data Mining

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