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Review
. 2021 Sep;28(34):46196-46214.
doi: 10.1007/s11356-021-12739-7. Epub 2021 Feb 16.

A comprehensive review on green buildings research: bibliometric analysis during 1998-2018

Affiliations
Review

A comprehensive review on green buildings research: bibliometric analysis during 1998-2018

Ying Li et al. Environ Sci Pollut Res Int. 2021 Sep.

Abstract

Buildings account for nearly 2/5ths of global energy expenditure. Due to this figure, the 90s witnessed the rise of green buildings (GBs) that were designed with the purpose of lowering the demand for energy, water, and materials resources while enhancing environmental protection efforts and human well-being over time. This paper examines recent studies and technologies related to the design, construction, and overall operation of GBs and determines potential future research directions in this area of study. This global review of green building development in the last two decades is conducted through bibliometric analysis on the Web of Science, via the Science Citation Index and Social Sciences Citation Index databases. Publication performance, countries' characteristics, and identification of key areas of green building development and popular technologies were conducted via social network analysis, big data method, and S-curve predictions. A total of 5246 articles were evaluated on the basis of subject categories, journals' performance, general publication outputs, and other publication characteristics. Further analysis was made on dominant issues through keyword co-occurrence, green building technologies by patent analysis, and S-curve predictions. The USA, China, and the UK are ranked the top three countries where the majority of publications come from. Australia and China had the closest relationship in the global network cooperation. Global trends of the top 5 countries showed different country characteristics. China had a steady and consistent growth in green building publications each year. The total publications on different cities had a high correlation with cities' GDP by Baidu Search Index. Also, barriers and contradictions such as cost, occupant comfort, and energy consumption were discussed in developed and developing countries. Green buildings, sustainability, and energy efficiency were the top three hotspots identified through the whole research period by the cluster analysis. Additionally, green building energy technologies, including building structures, materials, and energy systems, were the most prevalent technologies of interest determined by the Derwent Innovations Index prediction analysis. This review reveals hotspots and emerging trends in green building research and development and suggests routes for future research. Bibliometric analysis, combined with other useful tools, can quantitatively measure research activities from the past and present, thus bridging the historical gap and predicting the future of green building development.

Keywords: Bibliometric analysis; Big data; Cite space; Energy efficiency; Green buildings; Patent analysis; S-curve.

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Conflict of interest statement

The authors declare no competing interest.

Figures

Fig. 1
Fig. 1
Analytical procedure of the article
Fig. 2
Fig. 2
The performance of top10 most productive journals
Fig. 3
Fig. 3
The number of articles published yearly, between 1998 and 2018
Fig. 4
Fig. 4
Analysis procedure of countries’ characteristics
Fig. 5
Fig. 5
Global geographical distribution of the top 20 publications based on authors’ locations
Fig. 6
Fig. 6
The top 10 most productive countries had close academic collaborative relationships
Fig 7.
Fig 7.
The publication trends of the top five countriesbetween 1998 and 2018 countries areshown in Fig 7.
Fig. 8
Fig. 8
Baidu Search Index of green building in China 2013–2018 from high to low
Fig. 9
Fig. 9
TP GDP & Search Index were highly related
Fig. 10
Fig. 10
Analysis procedure of dominant issues
Fig. 11
Fig. 11
Co-word analysis from 1998–2007
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Fig. 12
Co-word analysis from 2008–2015
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Fig. 13
Co-word analysis from 2016–2018
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Fig. 14
The S-curves of different Structure types from patents
Fig. 15
Fig. 15
The S-curves of a different material from patents
Fig. 16
Fig. 16
The S-curves of energy systems from patents

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