Harnessing AI for Circular and Socially Sustainable Construction Planning and Management

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 438

Special Issue Editors


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Guest Editor
School of Engineering and Technology, Central Queensland University, Brisbane, QLD 4000, Australia
Interests: circular economy; AI in construction; sustainable construction; circular skills; construction waste minimisation and management; BIM; sustainable procurement; construction risk management
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Guest Editor
School of Built Environment, Engineering and Computing, Leeds Beckett University, City Campus, Leeds LS2 8AG, UK
Interests: gen AI in construction; circular economy; BIM; smart campuses and cities; systems thinking and dynamics; natural language processing; continuous improvement; construction cost management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Civil Engineering, Universiti Teknologi MARA, Shah Alam 40450, Selangor Darul Ehsan, Malaysia
Interests: environmental technology; sustainable construction materials; green building; waste minimisation; BIM; digital construction

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Guest Editor
Department of Construction Management and Quantity Surveying, University of Johannesburg, Doornfontein Campus, Johannesburg 2028, South Africa
Interests: circular economy business models; decent work; digital built environments; human-centred circular economy; social value; supply chain management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The transition to a circular and socially sustainable economy demands more than improved resource efficiency. It requires intelligent, data-driven systems capable of holistically evaluating environmental, economic, and social value. Traditional decision-making frameworks are often inadequate for managing the complexity of circular economy (CE) initiatives, particularly when these initiatives intersect with digital platforms and infrastructure systems.

This Special Issue responds to the urgent need for advanced decision support tools powered by artificial intelligence (AI), machine learning (ML), and expert systems. These technologies offer the potential to accelerate circular transitions while enhancing social value outcomes. In particular, this issue explores AI-enabled frameworks for social value assessment, the development of smart circularity indicators, and decision support systems that integrate circular principles through advanced analytics.

Key areas of interest include the alignment of circular economy business models with the Sustainable Development Goals (SDGs), integration of CE principles into Building Information Modeling (BIM), lifecycle sustainability assessments, and applications of Industry 4.0/5.0 technologies in achieving net-zero, resilient, and nature-based infrastructure solutions.

This issue also welcomes research on circular skills development, curriculum innovation, and systems thinking approaches that empower stakeholders to make informed, socially responsible decisions. By connecting digital innovation, sustainability governance, and social equity, this Special Issue seeks to define the next frontier in AI-driven circular economy practice.

Dr. Olabode Ogunmakinde
Dr. Temitope Omotayo
Dr. Eeydzah Aminudin
Prof. Dr. Bankole Osita Awuzie
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence for sustainability
  • social value assessment
  • digital circular economy
  • smart decision support systems
  • circular economy and infrastructure
  • lifecycle sustainability assessment
  • BIM and circularity integration
  • Industry 4.0/5.0 technologies
  • green and resilient retrofitting
  • sustainability literacy and curriculum innovation

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Published Papers (1 paper)

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Review

25 pages, 1223 KB  
Review
An AI-Enabled Theoretical Framework for Reframing Sustainability Literacy as a Decision Capability in Circular and Socially Sustainable Construction Planning
by Tianxi Lu, Siti Sarah Binti Herman and Nor Atiah Binti Ismail
Buildings 2026, 16(6), 1168; https://doi.org/10.3390/buildings16061168 - 16 Mar 2026
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Abstract
Sustainability literacy is increasingly invoked in construction and planning research, yet it is most often framed as an educational construct concerned with awareness, knowledge, and attitudes. This framing provides limited explanatory power for understanding how sustainability values are translated into in real-world planning [...] Read more.
Sustainability literacy is increasingly invoked in construction and planning research, yet it is most often framed as an educational construct concerned with awareness, knowledge, and attitudes. This framing provides limited explanatory power for understanding how sustainability values are translated into in real-world planning decisions, particularly under conditions of uncertainty and value conflict. In parallel, artificial intelligence (AI) has been introduced into planning practice largely as an optimization-driven analytical tool, reinforcing instrumental conceptions of rationality. This study reconceptualizes sustainability literacy as a decision capability and develops an AI-enabled theoretical framework that positions AI as a cognitive partner in sustainability-oriented construction planning. Methodologically, the study adopts a conceptual research design grounded in a systematic interdisciplinary literature synthesis spanning planning theory, circular economy, social sustainability, and AI-enabled decision support, combined with theory-building and framework development procedures. The proposed framework clarifies how human judgment can be cognitively augmented through AI-supported interpretation, trade-off exploration, and value-informed deliberation, thereby reframing sustainability as an internal driver of planning judgment rather than an external performance criterion. By conceptualizing human–AI collaboration as an iterative, reflective process, the study establishes a coherent theoretical basis for context-sensitive sustainability planning in the built environment, with implications for decision-support system design, planning practice, and professional education. Full article
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