Mapping the knowledge roadmap of low carbon building: A scientometric analysis

Luo, T, Tan, Y, Langston, C and Xue, X 2019, 'Mapping the knowledge roadmap of low carbon building: A scientometric analysis', Energy and Buildings, vol. 194, pp. 163-176.


Document type: Journal Article
Collection: Journal Articles

Title Mapping the knowledge roadmap of low carbon building: A scientometric analysis
Author(s) Luo, T
Tan, Y
Langston, C
Xue, X
Year 2019
Journal name Energy and Buildings
Volume number 194
Start page 163
End page 176
Total pages 14
Publisher Elsevier BV
Abstract Due to global climate change, carbon reduction has become a critical issue for the construction industry. Low carbon building has been adopted as a strategic objective, and its implementation demonstrates the enormous potential of reducing carbon emissions. Despite much research, some important research areas or gaps have not been identified, while simultaneously, few studies describe the knowledge roadmap for low carbon building research necessary to guide scholars and practitioners. The purpose in this paper is to provide a comprehensive and objective analysis of research areas regarding low carbon building using the scientometrics method. A total of 378 low carbon building-related publications were reviewed. Based on the keyword co-word analysis, document co-citation analysis and clustering analysis, the results show that 100 research keywords, 3 research hotspots and 5 research domains are extremely important for the advancement of low carbon building. Based on the in-depth analysis of the findings, the knowledge structure with different prominences was developed, which grouped LCB research into five themes and various sub-topics. Significantly, this paper provides the knowledge roadmap needed to facilitate further research and applications for both academia and industry stakeholders to improve low carbon building.
Subject Building Science and Techniques
Keyword(s) Knowledge roadmap
Literature review
Low carbon building
Scientometric
DOI - identifier 10.1016/j.enbuild.2019.03.050
Copyright notice © 2019
ISSN 0378-7788
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