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Life Cycle Sustainability Assessment of Buildings: A Scientometric Analysis

Author(s): ORCID
ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 3, v. 15
Page(s): 381
DOI: 10.3390/buildings15030381
Abstract:

The significant environmental impact of the built environment, particularly concerning energy use, carbon emissions, and material consumption, coupled with its economic and social implications, has driven the demand for sustainable buildings. Life Cycle Sustainability Assessment (LCSA) offers a comprehensive approach to evaluating sustainability performance by integrating environmental, economic, and social dimensions across the building life cycle. However, the application of LCSA frameworks in the buildings sector remains limited due to the challenges in harmonizing different sustainability dimensions and addressing methodological inconsistencies. This study employs a scientometric analysis to systematically examine the research landscape on LCSA for buildings. Bibliographic records from the Scopus and Web of Science databases (1999–2024) were systematically analyzed using science mapping techniques and tools, including VOSviewer, CiteSpace, and Gephi. The analysis identifies key research trends, conceptual developments, influential academic sources, and collaboration patterns at the country level. The findings reveal a multi-faceted research landscape characterized by a predominance of environmental assessments, increasing attention to economic and social dimensions, the development of BIM-related methodologies, and emerging trend towards dynamic LCSA. Persistent barriers include insufficient standardization of methodologies, limited data availability, and the fragmented incorporation of the environmental, economic, and social dimensions of sustainability. The findings emphasize the need for advancing LCSA frameworks to achieve more effective integration of the triple bottom line, enabling robust decision-making and advancing sustainability in the built environment.

Copyright: © 2025 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10816027
  • Published on:
    03/02/2025
  • Last updated on:
    03/02/2025
 
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