A Study on Social Perception of Old Downtown and Landscape using Big Data Analysis
Hyunji Song · Journal of Next-generation Convergence Information Services Technology · 2024
This study aimed to revitalize the declining old downtown, investigating key issues related to the Old downtown and landscape through big data analysis.Using the big data analysis platform 'TEXTOM', TF-IDF and CONCOR analyses were conducted on the topics of old downtown and landscapes, utilizing web document data collected from Naver(news, web documents, academic information), Daum(news, web documents), and Google(web documents).The TF-IDF analysis revealed that keywords related to regional and local government names, in addition to local announcements, overwhelmingly ranked at the top.In addition, keywords associated with regional development plans and activities such as 'establishment', 'promotion', and 'activation', as well as terms emphasizing the importance of community involvement and education among local residents like 'residents', 'culture', 'participation', and 'education' were also identified.The CONCOR analysis revealed four clusters of word groups related to downtown projects, locality, residents and culture, and improvement.Through this, efforts by local governments to support sustainable development in old downtown were confirmed, including infrastructure provision, civic engagement, and enhancement of cultural programs.The conclusion of this study is that there is a