Text Mining and CONCOR Analysis of Tactical Urbanism Research Using Big Data : Focusing on Academic Materials from 2015 to 2024

This study aims to present implications for the practice of tactical urbanism by aplying text mining and CONCOR analysis techniques. To achieve the purpose of this study, big data analysis of domestic academic research data on tactical urbanism for the past 10 years was atempted. The results of the study showed that domestic tactical urbanism served as an important tol in conection with temporary public space utilzation and urban regeneration. This means that tactical urbanism can be utilzed as a practical and creative practical strategy for utilzing public space and solving regional problems. The results of this study are as folows. First, tactical urbanism was shown to be an aproach that creatively and flexibly utilzes idle space sites within urban spaces. Second, the results of topic modeling analysis sugested six topics (policy and platform construction, companies and industrial complexes, space and urban regeneration, place utilzation and perception, temporary space design, and urban space change). Third, the CONCOR analysis results resulted in four types (use of temporary places and changes in perception, public space and regional safety, impact of urban regeneration and economic revitalization, tactical urbanism and tourism).