[논문]SNS 데이터를 활용한 관광지 혼잡도 및 방문자 특성 분석에 관한 연구

이상훈; 김수연

doi:10.9723/jksiis.2022.27.5.013

SNS 데이터를 활용한 관광지 혼잡도 및 방문자 특성 분석에 관한 연구
A Study on the Analysis of the Congestion Level of Tourist Sites and Visitors Characteristics Using SNS Data 원문보기

한국산업정보학회논문지 = Journal of the Korea Industrial Information Systems Research, v.27 no.5, 2022년, pp.13 - 24

이상훈 (대구대학교 컴퓨터정보공학부) , 김수연 (대구대학교 컴퓨터정보공학부)

초록
AI-Helper

SNS는 일상생활에 매우 밀접한 서비스가 되었다. SNS를 통해 마케팅이 이루어지면서 흔히 핫플레이스라 불리는 장소가 생겨나고, 이곳으로 사용자들이 몰리고 있다. 하지만 단기간 많은 사람이 몰리며 혼잡한 경우가 빈번하게 발생하여 방문자와 서비스 제공자 모두 부정적인 경험을 하게 되는 경우가 많다. 이러한 문제를 개선하기 위해 혼잡도를 파악해야 하지만 개인적 수준에서 특정 지역의 혼잡도를 알아볼 방법은 매우 한정적이다. 이에 본 연구에서는 SNS상의 데이터를 활용하여 특정 관광지에 대한 혼잡도 정보 및 방문자들의 특성을 파악할 수 있는 시스템을 제시하고자 하였다. 이를 위해 사용자들이 업로드한 포스팅 데이터와 이미지 분석을 사용하였으며 네이버 DataLab 시스템을 이용하여 제안 시스템의 성능을 검증하였다. 관광지 유형별로 3개 장소를 선정하여 비교 검증한 결과 본 연구에서 산출한 결과와 DataLab에서 제공하는 혼잡도 수준이 유사한 것으로 나타났으며, 특히 본 연구는 특정 기업이나 서비스에 종속되지 않는 사용자의 실 데이터에 기반한 혼잡도를 제공하였다는 것에 의의가 있다.

Abstract ▼ AI-Helper

SNS has become a very close service to our daily life. As marketing is done through SNS, places often called hot places are created, and users are flocking to these places. However, it is often crowded with a large number of people in a short period of time, resulting in a negative experience for both visitors and service providers. In order to improve this problem, it is necessary to recognize the congestion level, but the method to determine the congestion level in a specific area at an individual level is very limited. Therefore, in this study, we tried to propose a system that can identify the congestion level information and the characteristics of visitors to a specific tourist destination by using the data on the SNS. For this purpose, posting data uploaded by users and image analysis were used, and the performance of the proposed system was verified using the Naver DataLab system. As a result of comparative verification by selecting three places by type of tourist destination, the results calculated in this study and the congestion level provided by DataLab were found to be similar. In particular, this study is meaningful in that it provides a degree of congestion based on real data of users that is not dependent on a specific company or service.

주제어

표/그림 (13)

그림 Fig. 1 Research Procedure
그림 Fig. 2 Data Collected from SNS
그림 Fig. 3 Data Classification
그림 Fig. 4 Result of Posting Data Analysis
그림 Fig. 5 Whole Body Extraction
그림 Fig. 6 Example of Characteristics Extraction
그림 Fig. 7 UI for Congestion Results
그림 Fig. 8 Congestion Verification (Cafe)
그림 Fig. 9 Congestion Verification (Palgong Mt.)
그림 Fig. 10 Congestion Verification (Pororo Park)
그림 Fig. 11 Visitor Characteristics (Cafe)
그림 Fig. 12 Visitor Characteristics (Palgong Mt.)
그림 Fig. 13 Visitor Characteristics (Pororo Park)

참고문헌 (32)

Han, Jinseok (2020). The Influence of Shop Crowdedness in Dining Franchise Liquor Shops upon the Perceived Values and Intent to Revisit, Journal of the Korea Academia-Industrial Cooperation Society, 21(5), 362-371.
Hwang, YeonHee, Kim, YoungBerm and Lee, SangHo (2020). Effects of Real Name Using on SNS User's Behavior and Continuous Use Intention, Journal of the Korea Industrial Information Systems Research, 25(3), 83-97.

원문보기 상세보기
Jeon, Su-Hyeon and Kwahk, Kee-Young (2016). Effects of Customers' Relationship Networks on Organizational Performance - Focusing on Facebook Fan Page -, Journal of Intelligence and Information Systems, 22(2), 57-79.
Jun, Jae-Kyoon and Kim, Dong-Jin (2021). The Effects of Untact Tourism Motivation on Satisfaction and SNS WOM Intention, Journal of Tourism and Leisure Research, 33(12), 213-234.

상세보기
Kang, Youn-Young and Chon, Hae-Jung (2021). The Effect of Beauty SNS Exposure Information on Hair Style Preference and Purchase Intention, Journal of the Korean Society for Wellness, 16(2), 111-116.
Kim, Dae-Seok, Bang, Won-Gi and Seo, Young-Wook (2022). A Study on Tourism SNS Benefits Effecting on Behavioral Intention(Reuse Intention, Satisfaction) through Tourism Flow : The Moderating Effects of SNS Type, Journal of the Korea Entertainment Industry Association, 16(3), 29-40.
Kim, Dae-Seok and Choi, Eun-Gyo (2021). The Effect of Tourism SNS Service Quality on Perceived Usefulness, Tourism Flow and Tourism Experience, Journal of Tourism and Leisure Research, 33(7), 41-66.

상세보기
Kim, Dae-Seok and Lee, Eun-Ha (2021). A Study of Tourism Destination Storytelling on the Tourism Value and Relationship Immersion of Travel Agency: Moderating Effect of SNS Trust, Journal of the Korea Contents Association, 21(11), 503-517.
Kim, Gyu-Sig and Oh, Day Young (2021). Comparison of Effectiveness between Traditional Media and SNS in Policy PR of Local Governments: Survey Result of Public Information Officials in 31 Counties of Gyeonggi-do, Journal of The Korean Regional Development Association, 33(2), 117-141.
Kim, jihyo (2021). Instagram Feminism: SNS Reputation and Digital Feminism, Journal of Korean Women's Studies, 37(4), 119-154.

상세보기
Kim, Y. J. and Jang, A. (2021). A longitudinal study of sales promotion on social networking sites (SNS) in the lodging industry, Journal of Hospitality and Tourism Management, 48(June), 256-263. https://doi.org/10.1016/j.jhtm.2021.06.016.

상세보기
Kim, Young-Ha and Park, Hyun-Jee (2013). The Effect of Reuse Intention and Customer Satisfaction to Customer Value in Tourism Social Network Service, Journal of Tourism and Leisure Research, 25(5), 183-198.

상세보기
Kwak, Dae-young (2021). The Impact of SNS Tourism Information on Urban Image and Visit Intention: Focusing on Moderated Mediation Effects of Tourism Information Presence, Korean Journal of Urban Studies, (20), 113-146.
Lee, Do-Yul and Kwahk, Kee-Young (2021). A Study on the Factors Affecting Photo Sharing Users on SNS: Focusing on Social Capital and Visual Sociology, Korean Management Review, 50(5), 1217-1254.
Lee, Hyewon, Park, Hyeyoon and Park, Soyeon. (2022). Study on the Effect of Influencer on Advertising Attitudes and Brand Transformation Behavior: Focusing on Air Tourism related SNS Influencer. Journal of Korea Culture Industry, 22(1), 77-88.
Lee, Jin Seo and Mo, Jeong Hee (2022). The Effects of SNS Advertisement Attributions on Behavior Intention in Selection of Beauty Salons, Journal of the Korean Society Design Culture, 28(2), 289-301.
Lee, Jong-Hwa, Le, Hoanh Su and Lee, Hyun-Kyu (2016). Research on Methods for Processing Nonstandard Korean Words on Social Network Services, Journal of the Korea Industrial Information Systems Research, 21(3), 35-46.
Lee, Jong-Hwa (2018). Building an SNS Crawling System Using Python, Journal of the Korea Industrial Information Systems Research, 23(5), 61-76.
Lee, Yeon-Jung (2022). A Study on the Effect of SNS Information Characteristics on Value, Satisfaction and Reuse Intention of Restaurant Customers, Culinary Science & Hospitality Research, 28(4), 119-132.
Li, J. G. T., Kim, J. O. and Lee, S. Y. (2009). An empirical examination of perceived retail crowding, emotions, and retail outcomes, Service Industries Journal, 29(5), 635-652. https://doi.org/10.1080/02642060902720121.

상세보기
Li, X., Pan, B., Law, R. and Huang, X. (2017). Forecasting tourism demand with composite search index, Tourism Management, 59, 57-66. https://doi.org/10.1016/j.tourman.2016.07.005.

상세보기
Machleit, K. A., Kellaris, J. J. and Eroglu, S. A. (1994). Human versus spatial dimensions of crowding perceptions in retail environments: A note on their measurement and effect on shopper satisfaction, Marketing Letters, 5(2), 183-194. https://doi.org/10.1007/BF00994108.

상세보기
Manning, R. E. and Ciali, C. P. (1980). Recreation Density and User Satisfaction: A Further Exploration of the Satisfaction Model, Journal of Leisure Research, 12(4), 413-420.
Oh, Kyung-Heon (2022). Effects of SNS Marketing by Beauty Service Customers on Word of mouth effect and purchase behavioral intention, Journal of the Korea Academia-Industrial Cooperation Society, 23(6), 252-261.

상세보기
Quan, Wei and Han, Hee-Sup (2019). How crowdedness affects Chinese customer satisfaction at Korean restaurants?, Korean Journal of Hospitality & Tourism, 28(8), 161-177.
Saenz-de-Miera, O. and Rossello, J. (2012). The responsibility of tourism in traffic congestion and hyper-congestion: A case study from Mallorca, Spain, Tourism Management, 33(2), 466-479. https://doi.org/10.1016/j.tourman.2011.06.015.

상세보기
Son, Jung-Il and Heo, Chul-Moo. (2018). Effect of the search index on Purchase behavior by SNS channel attributes, Journal of Digital Contents Society, 19(8), 1535-1544.
Song, Seung-A and Shin, Hyung-Deok (2022). Presentation of Self and SNS Posting Styles: Focusing on Goffman's Impression Management Framework, Journal of the Korea Contents Association, 22(4), 284-291.
Xie, G., Qian, Y. and Wang, S. (2021). Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach, Tourism Management, 82(October 2019), 104208. https://doi.org/10.1016/j.tourman.2020.104208.

상세보기
Yang, Sung-Soo, Oh, Eun-Ji and Jeong, Chul (2019). The Effect of Expectancy on Crowding, Crowding Perception, Satisfaction, and Behavioral Intention for Winter Tourist on Island : A Case of visitors to u-do lsland, Journal of Tourism Studies, 31(3), 121-140.
Yang, Y., Guo, J. and Sun, S. (2021). Tourism demand forecasting and tourists' search behavior: evidence from segmented Baidu search volume, Data Science and Management, 4(September), 1-9. https://doi.org/10.1016/j.dsm.2021.10.002.

상세보기
Yang, Young Hwan and Kang, Min Jung (2022). A Study on the Effect of the SNS Characteristics on Public Organization's Image and Policy Participation, Journal of Business Convergence, 7(1), 55-64.

상세보기

표제어: PCR

동의어: Packet Collision Rate

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