다목적지 여행에서 관광 목적지 간의 연결 패턴 조사

Abstract

Continuous advances in tourism environments, such as in transportation and information technology, have enabled tourists to visit multiple destinations during a single trip and inspired multi-destination travel research. Yet theoretical development around multi-destination travel lags behind, particularly in systematically explaining the hierarchical structure of complex connections between/among tourism destinations. This study explores the connective patterns of tourism destinations by applying central place theory from geography. Data were drawn from the 2018 Daegu Tourism Survey, conducted by the metropolitan city of Daegu. These data were processed using several social network analysis techniques, including density analysis and normalized closeness centrality, to identify inter-destination connections. Tourists were also classified into two groups (high- and low-expense) based on their travel expenses. Results reveal clear differences in network density between these groups. The groups’ ranking of tourism destinations varied as well. Additionally, a central tourism destination was identified by the closeness centrality, indicating that central place theory can effectively convey the distribution patterns of tourism destinations in a city. These findings offer theoretical and practical implications to enhance tourism destination environments.