A BIBLIOMETRIC ANALYSIS OF THE CONCEPTS AND METHODS USED IN THE ADAPTIVE REUSE


Takva Ç., Özkan Yazgan E.

International Journal of Conservation Science, cilt.15, sa.1, ss.479-496, 2024 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 15 Sayı: 1
  • Basım Tarihi: 2024
  • Doi Numarası: 10.36868/ijcs.2024.01.07
  • Dergi Adı: International Journal of Conservation Science
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, Agricultural & Environmental Science Database, Art Source, CAB Abstracts, Index Islamicus, Veterinary Science Database, Directory of Open Access Journals
  • Sayfa Sayıları: ss.479-496
  • Anahtar Kelimeler: Adaptive reuse, Architectural heritage, Bibliometric analysis, Historical building
  • Gazi Üniversitesi Adresli: Evet

Özet

Adaptive reuse is the transformation of a building because of its inability to meet today's needs, bringing it into society. In the process of change and transformation, the original function of the building, building materials, and social, economic, and socioeconomic situations should be considered. Since the adaptive reuse strategy is a versatile and comprehensive concept, some terms with a similar sense are also used. Additionally, there are various methods of implementing this strategy. These methods can be traditional methods used from the past to the present, or they can be innovative methods created by combining more than one method. In this study, which concepts are used in a similar sense to the concept of adaptive reuse and which innovative methods are applied in this strategy were determined as a research question. The aim of the study is to conduct concept and method research to find an answer to the research question. This study covers the examination of adaptive reuse strategies through academic studies. At this point, the bibliometric analysis method was used. By applying the bibliometric analysis method, the concepts, and innovative methods in the titles of the academic publications examined in the Web of Science database were analysed.