DOI QR코드

DOI QR Code

A Study on Tourism Behavior in the New normal Era Using Big Data

빅데이터를 활용한 뉴노멀(New normal)시대의 관광행태 변화에 관한 연구

  • 유경미 (광운대학교 정보과학교육원 (광운대학교 정보과학교육원 관광경영전공)) ;
  • 강종천 (광운대학교 학생처 인재개발원) ;
  • 최연희 (광운대학교 대학원 실감융합콘텐츠학과)
  • Received : 2023.03.21
  • Accepted : 2023.05.01
  • Published : 2023.05.31

Abstract

This study utilized TEXTOM, a social network analysis program to analyze changes in current tourism behavior after travel restrictions were eased after the outbreak of COVID-19. Data on the keywords 'domestic travel' and 'overseas travel' were collected from blogs, cafes, and news provided by Naver, Google, and Daum. The collection period was set from April to December 2022 when social distancing was lifted, and 2019 and 2020 were each set as one year and compared and analyzed with 2022. A total of 80 key words were extracted through text mining and centrality analysis was performed using NetDraw. Finally, through the CONCOR, the correlated keywords were clustered into 4. As a result of the study, tourism behavior in 2022 shows tourism recovery before the outbreak of COVID-19, segmentation of travel based on each person's preferred theme, prioritization of each country's corona mitigation policy, and then selecting a tourist destination. It is expected to provide basic data for the development of tourism marketing strategies and tourism products for the newly emerging tourism ecosystem after COVID-19.

본 연구는 코로나 19 발생 후 여행 제재가 완화된 현재의 관광행태 변화를 분석하기 위해 소셜네트워크 분석프로그램인 TEXTOM을 활용하였다. 네이버, 구글, 다음이 제공하는 블로그, 카페, 뉴스 등을 대상으로 '국내여행', '해외여행' 키워드에 대한 데이터를 수집하였다. 사회적 거리두기가 해제된 2022년 4월~12월로 수집 기간을 정하였고, 코로나19 발생 이전인 2019년과 코로나19의 영향이 가장 심각했던 2020년은 각각 1년으로 하여 2022년과 비교 분석하였다. 텍스트 마이닝을 통하여 각각 총 80개의 핵심어를 추출하고 NetDraw를 사용하여 중심성분석을 하였다. 마지막으로 CONCOR분석을 통하여 상관관계가 있는 핵심어들을 4개로 군집화하였다. 연구결과, 2022년도의 관광행태는 코로나 발생 이전으로의 관광 회복, 각자가 선호하는 테마를 중심으로 여행의 세분화, 나라별 코로나 완화정책을 우선적으로 검색해 본 후 관광지를 선택하는 관광행태를 보인다. 코로나19 이후에 새롭게 도래하는 관광생태계에 대한 관광마케팅 전략과 관광상품 개발을 위한 기초자료를 제공할 것으로 기대한다.

Keywords

Acknowledgement

이 논문은 2022년 한국연구재단의 지원을 받아 수행된 연구임. (과제번호 : 2022S1-A5B5A-17048801)

References

  1. Gossling, S., Scott.D, &Hall, C. M, "Pandenics, tourism and global change: a rapid assessment of COVID-19", Journal of Sustainable Tourism, Vol.28(Online), pp1-20, 2020. https://doi.org/10.1080/09669582.2019.1695132
  2. Kim Hyun-joo et al, "Impact of COVID-19 on the tourism industry and countermeasures", KCTI, 2021.
  3. KCTI, "COVID-19 cultural tourism contents impact report", 2022.
  4. Jin Bo-ra et al, "Tourism trend analysis and forecast: 2023-2025", KCTI, 2023.
  5. Kang Hyun-soo, "Analysis of changes in domestic tourism behavior due to COVID-19", KCTI, 2021.
  6. https://dic.daum.net
  7. Kim Ki-youn, "The study on typologies of generation MZ's lifestyle change in the new nomal Era", Journal of Kssss, Vol.59, pp.27-47, 2022. DOI:10.18346/KSSSS.59.2
  8. Kim Yong-nam, Hong seong-hwa, "New nomal 2.0 tourism: Focus on IPA results of Jeju visitors during COVID-19 spread", Korea Mice Tourism Society", Vol20. No.2, pp.143-161, 2022. DOI:10.35176/JMTR.20.2.8
  9. Kim Jong-ho, "Singapore 2021: Searching for 'New normal' in COVID-19 pandemic", The Southeast Asian Review, Vol.32, No.1, pp.77-124, 2022. DOI:10.21652/kaseas.32.1.202202.77
  10. Kim Hye-Yong, Jang Yang-lae, "Study of travel motivation of domestic tourists, choice attribute for travel products, and tourism behavior", International Journal of Tourism Management and Sciences, Vol.26, No.4, pp.147, 2011.
  11. Song Yong-chol, "A study on the domestic behavioral patterns of Korean tourists by the characteristics of residences", Korea Regional Geographical Society, Vol.8, No.1, pp.83-97, 2002.
  12. Lee Jang-choon, "A study on regional tourism development policy in the age of globalization", Vol.12, No.4, pp.491-518, 1994.
  13. Lee Seo-koo, "A review of big data analysis based on marketing perspective", Korea Journal of Business Administration, Vol.28, No.1, pp.21-35, 2015.
  14. http://www.textom.co.kr
  15. Kwak Ki-young, "Social network analysis", Chungram, 2019.
  16. Oh Ick-keun, Lee Tae-sook, Chon Chae-nam, "A study on awareness of Korea tourism though big data analysis", The Tourism Sciences Society of Korea, Vol.39, No.1, pp.107-126, 2015. DOI:10.17086/JTS.2015.39.10.107.126
  17. Ryu Si-young, Yoo Sun-wook, "A study on the perceptions and interests of tourists to Gangwon-do: Focusing on social media big data analysis", Vol.31, No.2, pp.63-81, 2017. .DOI:10.21298/IJTHR.2017.02.31.2.63
  18. Jang Yoon-jeung, Jung Su-a, "Characteristics and similarities of the behavior of foreign tourists by nationality using big data: Based on tripadvisor data", International Journal of Tourism and Hospitality Reseach, Vol.35, No.3, pp.95-109, 2021. DOI:10.21298/IJTHR.2021.3.35.3.95
  19. Song Heung-gyu, "A study on food tourism perception using big data: Comparison before and after the outbreak of COVID-19", Journal of Foodservice Management Society of Korea", Vol.24, No.5, pp.177-200, 2021.
  20. Yang Jae-dong, Kim Geun-hyeon, "Analysis of the economic effect of COVID-19 on the tourism industry using big data: Focusing on Jeju area", The Academy of Korea Hospitality & Tourism, Vol.23, No.4, pp.49-61, 2021. DOI:10.31667/jhts.2021.12.89.49
  21. Bae So-hyun, Lee Su-an, "A study on perception and attitude on wellness tourism using big data: Semantic network analysis and sentiment analysis", Journal of Tourism Sciences, Vol.46, No.6, pp.149-165, 2022. DOI:10.17086/JTS.2022.46.6.149.165
  22. Lee Hye-jin, Kang Young-ok, "Understanding tourist's region of attraction and image of city through social network data analysis", The Korean Urban Geographical Society, Vol.23, No.1, pp.101-114, 2020. DOI:10.21189/JKUGS.23.1.8
  23. Han Jang-heon, Seo Heon, "A study on the activation plans of Yeosu tourism and perception on Yeosu tourism by analysis social big data", Journal of Tourism and Leisure Research, Vol.31, No.7, pp.81-96, 2019. DOI:10.31336/JTLR.2019.7.31.7.81
  24. Ann Myung-suk, "Research on public sentiment of the post-corona new normal: Through social media (SNS) big data analysis", The JournalL of the Convergence on Culture Technology, Vol.8, No.2, pp.209-215, 2022. DOI:10.17703/JCCT.2022.8.2.209
  25. Lee Gyu-tae, "A study on consumer perceptions of meal-kits and using big data: Anticipating after the COVID-19 pandemic ends", International Journal of Tourism and Hospitality Research, Vol.35, No.11, pp.227-239, 2021. DOI:10.21298/IJTHR.20221.11.35.11.227
  26. Yoo Kyoung-mi, Choi Youn-hee, "A study on change in domestic tourism trends using social big data analysis: Comparison before and after COVOD-19", International Journal of Internet, Broadcasting and Communication, Vol.13, No.4, pp.72, 2021. DOI:10.7236/IJIBC.2021.13.4.72