아동친화도시 학술담론의 주제 구조와 변화 : 텍스트마이닝 기반 토픽분석과 시계열분석

초록

Objectives: This study aims to examine the thematic structure and temporal evolution of child-friendly city research in Korea using text mining techniques. Specifically, it investigates the predominance of policy- and cetification-oriented research trends and critically analyzes how the fundamental values of children’s right have been addressed, with the goal of suggesting future research directions. Methods: A total of 79 academic journal articles were analyzed using text mining-based topic modeling and time-series analysis. Results: First, keyword analysis identified a discourse structure centered on “child-friendly city”, with related terms forming a parallel network. Second, the topics were not static but demonstrated temporal shifts, indicating changing research priorities over time. Conclusions: Through a comprehensive text mining analysis, this study examined how children have been positioned as policy subjects within urban discourse and empirically identified the evolving trajectory of child-friendly city research in Korea by tracing temporal topic shifts and discursive restructuring.

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