The Future of Green Building Research – A Cascade Approach of Bibliometric Analysis and Topic Modelling

Author:

Aditya Thangjam,Raj Varun D.

Abstract

Green building research has received a lot of attention from both academicians and practitioners. Even though, this has resulted in a surge in Green Building literature in the recent times, the review of the literature has either being too focused on specific aspects or too broad. This study attempts to address this issue by employing a combination of bibliometric analysis and topic modelling. The inclusion of a stringent quality filter and use of CorEx topic modelling has enabled us to generate a list of future research directions, which were further streamlined through manual intervention. The study has revealed a few very promising few research directions including the application of Artificial Intelligence (AI) in Green Building, Building Information System (BIM) for Green Building, development of sustainable materials and construction methods, socio-economic impact assessment of Green Buildings and incorporation of Internal Environmental Quality principles into built environment. The findings of the study are an integration of recommendations by many impactful studies in the Green Building literature and have tried to be a true testament to the idea that ‘the whole is greater than the sum of its parts’.

Publisher

EDP Sciences

Subject

General Medicine

Reference39 articles.

1. Green building standards and the United Nations’ Sustainable Development Goals

2. United Nations, Transforming Our World: The 2030 Agenda for Sustainable Development (2015)

3. UN Environment (2020)

4. A scientometric analysis and visualization of global green building research

5. Manasi S., Nagaraj H., Kambara C., Latha N., Remadevi O. K., and Vinaya Kumar K. H., Promoting Green Buildings towards Achieving Sustainable Development Goals: A Review (Institute for Social and Economic Change, Bangalore, Karnataka, India, 2021)

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