본문 바로가기
  • Home

Determinants of Tourism Destination Ranks in Multi-destination Travel - An Application of Anchor-point Theory -

  • Journal of Tourism Sciences
  • Abbr : JTS
  • 2020, 44(5), pp.97-115
  • DOI : 10.17086/JTS.2020.44.5.97.115
  • Publisher : The Tourism Sciences Society Of Korea
  • Research Area : Social Science > Tourism
  • Received : April 10, 2020
  • Accepted : June 11, 2020
  • Published : July 1, 2020

Park, Deukhee 1 Lee Gyehee 2 KANG SANGHOON 3

1경희대학교 관광학과
2경희대학교
3동아대학교

Excellent Accredited

ABSTRACT

Tourism has been recognized as a critical power for sound condition of regional economy. It is also essential to understand tourists’ multi-destination travel patterns for vitalizing regional tourism, since tourists tend to visit multi-destinations during their single trip. Applying Anchor-point Theory, this study investigated the determinants related to the ranks in tourism destination hierarchy, which was computed by social network analysis techniques, such as degree centrality. We used raw data of “2016 Korea National Tourism Survey” and “Regional Tourism Competitiveness Model Index,” conducted by Ministry of Culture, Sports, and Tourism of Korea and Korea National Tourism Organization, respectively. Data were analyzed using social network analysis, correlation analysis, and multiple regression analysis. Results revealed that Haeundae was the 1st-ranked tourist destination in both in-degree and out-degree networks, and confirmed to be the anchor-point among other tourist destinations. Meanwhile, out of fifteen tourism competitiveness indicators, only the number of tourism accommodations was significantly related to in-degree centrality scores (ranks), while no other indicators showed such relationships. The results hold several theoretical and practical implications regarding travelers’ multi-destination travel behaviors and the relationship between the characteristics of tourism destinations and multi-destination travel of travelers.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.