키워드 네트워크 분석을 활용한 ABM 연구 경향 분석 - 국외 연구논문을 중심으로 -

다국어 초록 (Multilingual Abstract)

This study aims to pinpoint trends in global ABM research and delve into primary research perspectives preceding the academic and practical application of ABM in architecture. A keyword network analysis was conducted on global research papers over different time periods to identify ABM research trends in architecture. The analysis results revealed that keywords related to planning consistently feature prominently across all centrality measures of Eigenvector centrality, Closeness centrality, and Betweenness centrality over time. In terms of betweenness centrality analysis, complex-system emerged as the top keyword in both periods, indicating the ABM model’s capacity to process diverse data concurrently, evolving alongside technological advancements to gather information on interactions between space and people. Therefore, to enhance model validity, it is imperative to incoporate research on human factors, not soley focusing on the physical environment. Notably, the consistent appearance of pedestrians alongside urban and public underscores the significance of pedestrian environments in urban centers, necessitating related research. Future studies should identify detailed ABM research trends by selecting specific research topics and spaces based on the overall research trends derived from this study.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 문헌 고찰
• 3. 연구 방법
• 4. 연구 결과 및 분석
• 5. 결론
• REFERENCES