Itohan Esther Aigwi, Auckland University of Technology

Timothy O. Adekunle, University of Utah

Funmilayo Ebun Rotimi, Auckland University of Technology

This special issue seeks to develop integrated approaches combining digital innovation with sustainability in construction. Rather than examining these areas separately, it aims to establish comprehensive frameworks that connect digital technologies with measurable sustainability outcomes, including enhanced benchmarking methods, governance structures, and implementation strategies.

The issue addresses gaps in current research by exploring how emerging technologies like BIM, digital twins, and AI can support sustainability goals. It examines the organisational changes, leadership requirements, and regulatory mechanisms necessary for successful digital-sustainability transitions in construction.

Through collaboration among researchers, industry professionals, and policymakers, the special issue aims to establish clear frameworks and performance-assessment methodologies that demonstrate how digital innovations contribute to sustainability targets across the construction sector and support several UN Sustainable Development Goals.

Appel publié par Engineering, Construction and Architectural Management. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Digital transformation for sustainable construction delivery
• Building Information Modelling (BIM)
• Digital twins
• Artificial intelligence and IoT
• Data-driven project management
• Frameworks for integrating digital innovation and sustainability
• Multi-level assessment models
• Emerging technologies and future construction systems
• Robotics and digital fabrication
• Immersive technologies
• Artificial intelligence and advanced analytics
• Climate risk prediction
• Sustainable design and construction optimisation
• Circular economy and resource efficiency
• Material tracking and digital material passports
• Blockchain in construction
• Lifecycle sustainability assessment
• Carbon management
• Smart infrastructure and climate-resilient cities
• Data-driven sustainability
• Benchmarking and performance measurement systems
• Digital maturity metrics
• Policy and regulatory frameworks
• Governance for digital and sustainable construction
• Organisational capability and leadership
• Change management for digital transformation
• Human skills and workforce transformation
• Post-disaster recovery and reconstruction
• Climate-responsive rebuilding
• Digital procurement
• Supply chain integration and transparency
• Global and regional comparative studies

Timeline

• January 9, 2026: Opening date for manuscripts submissions
• May 20, 2027: Closing date for manuscripts submission

Sara Wilkinson, University of Technology Sydney

Johnny Wong, University of Technology Sydney

Biyanka Ekanayake, University of Technology Sydney

This special issue examines how artificial intelligence is transforming the built environment across construction, real estate, facilities management, and urban planning. While AI technologies offer significant opportunities for innovation and efficiency through applications like energy optimization, smart building control, and predictive maintenance, the sector faces critical challenges regarding data integrity, algorithmic bias, privacy, and transparent decision-making.

The special issue seeks high-quality original research exploring AI's use, impact, risks, and future potential in the built environment. It welcomes contributions spanning construction automation, property valuation, smart buildings, urban planning, generative design, AI governance and ethics, sustainability applications, security systems, human-AI collaboration, and professional education in AI.

Appel publié par Building Research & Information. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• AI in construction: automation, robotics, quality control, progress monitoring, risk and safety analytics
• AI in property and real estate: valuation models, market intelligence, customer engagement, asset management, predictive analytics
• Smart buildings and facilities management: IoT-enabled optimisation, energy management, predictive maintenance, AI-driven knowledge systems
• AI in urban planning and infrastructure: spatial modelling, forecasting, environmental assessment, transport and mobility analytics
• Design and engineering applications: generative design, simulation, optimisation, digital twins, parametric modelling
• Explainable AI (XAI): AI governance, ethics, and regulation: transparency, bias, data integrity, privacy, and responsible GenAI in the built environment
• AI for sustainability and ESG: carbon modelling, resource optimisation, lifecycle assessment
• Security and risk management: computer vision for surveillance, access control, anomaly detection
• Multimodal and agentic AI: advanced AI systems applied to complex built environment challenges
• Human-AI collaboration: professional adoption, skills, workflows, and organisational change
• The challenge of educating and training built environment professionals in AI

Timeline

• September 30, 2026: Deadline for submission
• December 31, 2026: Deadline for review
• February 28, 2027: Deadline for revised submission
• April 30, 2027: Deadline for approval final manuscript