인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
(Research Background and Purpose) With the urbanization rate increasing by more than 40% over the past 50 years, many traditional villages and historical streets have disappeared, resulting in a rupture in local identity and cultural continuity. Therefore, this study focuses on the loss of traditional architectural spaces caused by rapid urbanization and explores ways to preserve and reconstruct traditional Korean architecture from the perspective of collective memory. (Research Method) Based on Maurice Halbwachs’s theory of collective memory, this study assumes that traditional architecture is a key medium for maintaining community identity and cultural values. The mechanisms of memory preservation in traditional spaces were examined through literature analysis and case studies. By comprehensively analyzing spatial drawings, visual data, and archival documents on cases of preserving and reinterpreting traditional domestic architecture, the study derives design strategies through case-based analysis. (Results) A three-step strategy—“trace of memory, activation, and reproduction”—was proposed for the modern reconstruction of traditional architecture. It consists of “trace of memory” through the preservation of physical form, “activation of memory” through adaptive reuse and community participation, and “reproduction of memory” through spatial narratives and cultural symbols. The analysis confirmed that the value of traditional architecture lies not only in material preservation but also in the transmission of cultural memory and collective spirit. (Conclusion) This study proposes a sustainable methodology that bridges the past and present, offering a new direction for the modern utilization of traditional Korean architecture. It is expected to contribute to cultural sustainability and to the strengthening of the social functions of public spaces.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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UCI(KEPA) : I410-151-26-02-094528902