A Study on the Characteristics of Tourism Flow of Independent Tourists from China to South Korea Based on Tourists’ Digital Footprint
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
This study takes Chinese independent tourists to South Korea as the research object, mines the data of tourists’ digital footprints from online travel notes, and analyzes the characteristics of the tourism flow of Chinese independent tourists to South Korea by using the method of quantitative statistics and social network analysis(SNA). The results show that Seoul, Jeju Island, Busan and Daegu are the important tourist destinations for Chinese independent tourists entering South Korea. In addition, Qingdao, Tianjin, Shenyang, Hong Kong, Foshan and Macao are crucial hubs for Chinese independent tourists to visit South Korea. In future studies, the number of sample data should be increased. The time span of data collection should be extended for studying the annual variation characteristics of tourism flow and the trend of tourism hot spots.
Abstract
This study takes Chinese independent tourists to South Korea as the research object, mines the data of tourists’ digital footprints from online travel notes, and analyzes the characteristics of the tourism flow of Chinese independent tourists to South Korea by using the method of quantitative statistics and social network analysis(SNA). The results show that Seoul, Jeju Island, Busan and Daegu are the important tourist destinations for Chinese independent tourists entering South Korea. In addition, Qingdao, Tianjin, Shenyang, Hong Kong, Foshan and Macao are crucial hubs for Chinese independent tourists to visit South Korea. In future studies, the number of sample data should be increased. The time span of data collection should be extended for studying the annual variation characteristics of tourism flow and the trend of tourism hot spots.
참고문헌 (17)
- A. V. Williams, "On some patterns in international tourism flows", Economic Geography, 46(4), pp.549~567 (1970)
- T. Hong, "Network behavior as driving forces for tourism flows", Journal of Business Research, 68(1), pp.146~156 (2015)[DOI]
- Y. F. Li, "Prediction for Tourism Flow based on LSTM Neural Network", Procedia Computer Science, 129, pp.277~283 (2018)[DOI]
- G. De Vita., "The long-run impact of exchange rate regimes on international tourism flows", Tourism Management, 45, pp.226~233 (2014)[DOI]
- R. Cellini, "Museum and monument attendance and tourism flow : a time series analysis approach", Applied Economics, 45(24), pp.3473~3482 (2012)
- Yeong-Hyeon Hwang, "Multicity trip patterns", Annals of Tourism Research, 33(4), pp.1057~1078 (2006), Elsevier BV[DOI]
- Noel Scott, "Destination Networks", Annals of Tourism Research, 35(1), pp.169~188 (2008), Elsevier BV[DOI]
- Hsin-Yu Shih, "Network characteristics of drive tourism destinations: An application of network analysis in tourism", Tourism Management, 27(5), pp.1029~1039 (2006), Elsevier BV[DOI]
- J. I. L. Miguéns, "Travel and tourism : Into a complex network", Physica A Statistical Mechanics & Its Applications, 387(12), pp.2963~2971 (2008)[DOI]
- F. Girardin, "Leveraging explicitly disclosed location information to understand tourist dynamics : A case study", Location Based Services, 2(1), pp.41~56 (2008)[DOI]
- Hany Kim, "Effect of tourist photographs on attitudes towards destination: Manifest and latent content", Tourism Management, 49, pp.29~41 (2015), Elsevier BV[DOI]
- Soojin Choi, "Destination image representation on the web: Content analysis of Macau travel related websites", Tourism Management, 28(1), pp.118~129 (2007), Elsevier BV[DOI]
- J. C. García-Palomares, "Identification of tourist hot spots based on social networks : A comparative analysis of European metropolises using photo-sharing services and GIS", Applied Geography, 63, pp.408~417 (2015)[DOI]
- M. H. Salas-Olmedo, "Tourists'digital footprint in cities : Comparing Big Data sources", Tourism Management, 66, pp.13~25 (2018)[DOI]
- 왕춘염, "A Study on the Characteristics of the Seasonal Travel Path of Individual Chinese Travellers in Korea", 한국융합학회논문지, 10(7), pp.23~31 (2019), 한국융합학회[DOI]
- Shi-cheng Song, "Research Trends Analysis on Port Hinterland Using SNA Method", 디지털융복합연구, 16(11), pp.17~27 (2018), 한국디지털정책학회[DOI]
- Beatriz Barrera Delgado, "The study on the research trend about Europe ports: focus on Baltic Sea using Keyword network", 디지털융복합연구, 16(2), pp.139~149 (2018), 한국디지털정책학회[DOI]
