소셜 빅데이터를 활용한 영화촬영지의 관광목적지로서의 매력성 지속요인 분석

Abstract

This study aims to investigate how long the attractiveness of film locations continues. For this purpose, attractive attributes of film locations were extracted and categorized with the text mining method of social big data associated with an increase in tourist numbers. The film location selection was based on domestic film-goer numbers from the Korean Film Commission and tourist statistics of local governments. Research findings are as follows. First, native attractions, accommodations, convenient facilities, accessibility, and other additive factors in tourist destinations changed similarly with the change of average numbers of tourists per month. Second, tourism products, souvenirs, and human service provision changed differently. These facts indicate that important attributes of film locations as tourist destinations are native attractions, accommodations, convenient facilities, accessibility, and other additive factors. Tourists perceive these attributes as important factors for tourist destination choice.