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
Abstract The increasing focus on sustainability in architecture necessitates a detailed understanding of materials and selection processes, particularly in residential projects. Sustainable residential architecture integrates environmental stewardship, economic feasibility, and social responsibility to create durable, eco-friendly living spaces. This research provides an in-depth exploration of principles and methodologies for selecting sustainable materials in residential architectural projects. The research surveyed 647 participants, including architects, builders, and environmental specialists, capturing diverse perspectives. A mixed-method approach using SPSS 28.0 was employed: Exploratory Factor Analysis (EFA) identified underlying dimensions of material selection, regression models quantified factor impacts, and additional tools including ANOVA, correlation tests, ranking, and sensitivity analysis prioritized variables. Results showed that thermal performance was highly significant in ANOVA (F = 15.72, p = 0.0003), while material availability strongly correlated with cost-efficiency ( r = 0.85). Sensitivity analysis indicated material availability as the most influential factor (factor score = 0.85), and ranking tests highlighted low carbon footprint as the top priority (27.0%). In EFA the Environmental (Ecological Impact, loading = 0.87), Economic-Performance (Material Availability, loading = 0.86), and Social-Cultural (Aesthetic Value, loading = 0.83).Regression analysis identified durability as the strongest predictor of material sustainability (β = 0.60, p < 0.001, R 2 = 0.68). These findings emphasize the central role of informed material selection in balancing performance, cost, and environmental impact. By presenting a structured framework, it equips professionals with practical guidelines for sustainable design, aligning with the principles of sustainable development.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.