방한 외래 쇼핑 관광객의 관광지 네트워크 분석: 2014년 서울⋅경인지역 관광목적지를 중심으로 (Examining destination networks formed by overseas shopping tourists’ mobility in Seoul capital area in 2014)

서지정보

· 발행기관 : 관광경영학회
· 수록지 정보 : 관광경영연구 / 21권 / 5호 / 175 ~ 193페이지
· 저자명 : 이유안, 김인신

초록

Despite the importance of movement in tourism, the empirical studies into tourists’ mobility have been rather scarce due to the labor-intensive nature and time-consuming process of analysis. This paper aims to investigate the spatial characteristics of attractions networks formed by international shopping tourists’ movement in Korea by using social network analysis methods. First, we examined degree, closeness, betweenness and eigenvector centrality of 28 attraction nodes in Seoul Capital area based on the secondary data collected from 2014 International Visitor Survey. Secondly, we conducted link reduction procedures for attractions networks by using Net Miner 4.0. The centrality analysis showed that Palaces, Insadong, Namsan/N seoul tower and Myeong-dong recorded a high level of degree and eigenvector centrality compared with other attractions. Moreover, the results of link reduction procedures revealed that the top 5% of the most visited attractions networks include Palaces, Namsan N tower, Myeongdong, Namdaemun market, Dondaemun market, Cheonggyecheon and Garosu-gil street. Furthermore, the core and periphery areas were visualized within attractions networks. The theoretical and practical implications were discussed based on the analysis of attractions networks.

영어초록

Despite the importance of movement in tourism, the empirical studies into tourists’ mobility have been rather scarce due to the labor-intensive nature and time-consuming process of analysis. This paper aims to investigate the spatial characteristics of attractions networks formed by international shopping tourists’ movement in Korea by using social network analysis methods. First, we examined degree, closeness, betweenness and eigenvector centrality of 28 attraction nodes in Seoul Capital area based on the secondary data collected from 2014 International Visitor Survey. Secondly, we conducted link reduction procedures for attractions networks by using Net Miner 4.0. The centrality analysis showed that Palaces, Insadong, Namsan/N seoul tower and Myeong-dong recorded a high level of degree and eigenvector centrality compared with other attractions. Moreover, the results of link reduction procedures revealed that the top 5% of the most visited attractions networks include Palaces, Namsan N tower, Myeongdong, Namdaemun market, Dondaemun market, Cheonggyecheon and Garosu-gil street. Furthermore, the core and periphery areas were visualized within attractions networks. The theoretical and practical implications were discussed based on the analysis of attractions networks.

참고자료

· 없음