Artificial Intelligence and Computational Methods for Smart and Sustainable Residential Building Design: SLS and Bibliometric Approach

DOI

10.2991/978-94-6239-750-7_56How to use a DOI?

Keywords

Artificial intelligence; Built environment; Innovation ecosystems; Systematic literature review; PRISMA

Abstract

Buildings and cities are becoming more reliant on artificial intelligence (AI) for their design, governance, and functioning in the built environment. Unlike in previous times, when AI was considered as separate technological applications, AI is now becoming more entwined with social practises, and spaces are designed using AI, while institutional frameworks and governance mechanisms are also developed with AI. However, despite these developments, current research on these topics remains scattered across multiple disciplines. For this reason, it is difficult to clearly define how AI-enabled built environments will operate as innovation ecosystems. The purpose of this literature review is to examine how innovation ecosystems have been defined and studied in relation to AI-enabled built environments, particularly with regard to issues of design integration, governance, sustainable development, and cross-sector collaboration.

This research uses rigorous literature review processes based on the PRISMA guidelines, as well as a comprehensive bibliometric analysis of all English-language peer-reviewed literature published by researchers and academics between 2006 and 2025, which is included in SCOPUS. The analyses were performed using R and the Biblioshiny package to create a visual representation of trends of publications, patterns of citations, prominent authors and journals, developments of keywords over time, and overlapping themes of research within individual articles. Techniques used to determine intellectual organisation and developmental trajectory of the discipline included document coupling, thematic mapping, and multiple correspondence analysis.

This research illustrates how the paradigms of AI-enhanced built environments have shifted away from technology-focused studies to ecosystemic and unified frameworks that include considerations such as sustainability. The most prevalent themes identified in these studies include smart cities, sustainable development, and urban planning. The enabling foundations for these three areas of future research are indicated to be AI and the utilization of data to drive decision-making. Significant gaps remain in the theoretical integration of these areas, their empirical validation, alignment with governance frameworks, and ethical dimensions of their development. Ultimately, this literature review combines a number of previously disparate bodies of knowledge and positions AI-enabled built environments as intelligent and dynamic ecosystems that are well-positioned for continued interdisciplinary research initiatives and future policy decisions.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - N. H. Tejaswi
AU  - T. S. Sagar
PY  - 2026
DA  - 2026/08/31
TI  - Artificial Intelligence and Computational Methods for Smart and Sustainable Residential Building Design: SLS and Bibliometric Approach
BT  - Proceedings of the International Conference on Advanced Design, Manufacturing, and Sustainable Energy Systems (ICADMSES 2026)
PB  - Atlantis Press
SP  - 781
EP  - 793
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-750-7_56
DO  - 10.2991/978-94-6239-750-7_56
ID  - Tejaswi2026
ER  -