텍스트 마이닝 분석을 통한 조경시공 연구경향 분석

Abstract

This study aimed to derive research trends related to the landscape construction field from various academic journals published in Korea from 1980 to 2022 by using text mining techniques. Research trends were analyzed through VOSviewer, the big data analysis program, and focused on keywords for landscape construction. As a result, first, a total of 226 research papers related to landscape construction showed a gradual increase by an average annual average of 5.8. This is caused by the increase landscaping-related various academic journals since the 1980s, and the increase in research opportunities on landscape construction, methods of construction, and materials due to the expansion of the landscape industry. Second, as a result of analyzing co-occurrence keywords related to landscape construction, it appeared in the order of Plant, Management, Improvement, Species, etc. In addition, as a result of network analysis, it was classified into four research clusters: (1) Post-management and Function improvement, (2) Plant and Plant growth environment, (3) Space and Usability, and (4) Constructability and Economy. Third, as a result of analyzing the field of landscape construction based on the passage of time, the research trend of the field of landscape construction tends to embrace various topics. However, in the future, research on landscaping construction and maintenance smart technology in the era of the 4th industrial revolution, as well as the development of materials and construction methods considering climate change, will be more necessary. This study is meaningful in that it analyzed the research trend related to the landscape construction field in detail through bibliographic analysis for the first time in Korea. In addition, it is meaningful as fundamental data for deriving the developmental research direction in the landscape construction field in consideration of the social paradigm and technological trends changing in the landscape architecture industry.