초미세먼지 농도에 따른 내국인 관광객의 관광활동 패턴 비교: 사회연결망 분석을 활용하여

The present study compared tourism activities patterns by domestic tourists who have visited Daegu metropolitan city in South Korea from a fine particulate matter(PM2.5) perspective utilizing the social network analysis method. This study used raw data from “2019 Daegu Tourism Survey” and “2019 Atmospheric Environment Information” conducted by the metropolitan city of Daegu, and the Ministry of Environment, respectively. Of the social network analysis techniques, this study conducted density analysis, normalized eigenvector centrality, and Quadratic Assignment Procedure(QAP) analysis to compare the differences between a high concentration of PM2.5 and a low concentration of PM2.5 networks. Findings represented that there were differences in density scores between the two groups. The results of normalized eigenvector centrality analysis showed that tourism activities could be differently connected in the networks depending on the concentrations of fine particulate matter (PM2.5). In addition, the results of QAP analysis disclosed that there was a statistically significant similarity between the two networks at the 1% significance level. Like density, centrality, and QAP analysis results, co-participation analysis results confirmed that there were differences in tourism activities patterns according to concentrations of fine particulate matter (PM2.5). Based on the findings of this study, the current study provides academic implications to extend the tourism activities pattern research and practical implications to develop the tourism contents of Daegu.