Leveraging Building Information Modeling (BIM) and Construction 4.0 Technologies for Lifecycle-Based Sustainable Infrastructure Development

The building industry is experiencing a fundamental digital revolution that is based on Building Information Modelling (BIM) and data analytics, automation, and the emergence of Construction 4.0 technologies. Simultaneously, international obligations to carbon neutrality, resource-efficient resource use, and infrastructure-resilience dictate lifecycle-based thinking that transcends traditional design and constructive relationships. The current combination of BIM and digital twins, Internet of Things (IoT) and artificial intelligence (AI), robotics, additive manufacturing, and sophisticated simulation medium offers a radical solution to instill the concept of sustainability throughout the lifecycle of infrastructure, such as conceptual planning and design through construction, operation, maintenance, and end-of-life management.The development of a sustainable infrastructure must rely on a lifecycle approach analysis of the environmental impact, economic impact, and social impact. BIM-powered processes with Life Cycle Assessment (LCA), embodied carbon, energy, and predictive maintenance models enable responsible decision-making by reservists at the initial project phases. Digital integration improves transparency, traceability, and optimization work, as well as minimizes material waste, construction delays, cost overrun, and operational inefficiencies. The technologies of construction 4.0 also allow automation and real-time monitoring, cyber-physical integration, and intelligent asset management, reinventing the approach to the planning, execution, and management of infrastructure systems.Original contributions are welcome to this call to investigate theoretical innovations, the conceptualizations of methods, cases, and practical studies on the boundary of BIM, Construction 4.0, and sustainable infrastructure. Submissions can be on, but not confined to: BIM-based lifecycle assessment frameworks; digital twins in performance-based infrastructure management; AI-assisted optimization of materials and structural systems; IoT-based monitoring of durability and resilience; carbon conscious design processes; smart construction site management; automation and robotics in sustainable construction; blockchain-helpful transparent supply chains; embedding the circular economy in BIM; policy or governance frameworks to support digital sustainability transitions.Interdisciplinary views between civil engineering, construction management, environmental engineering, computer science, and data analytics are welcome. Both scholarly and industrial contributions are welcome with special attention given to those that have shown quantifiable sustainability results, scalability, and practicability of implementation. Theoretical papers suggesting new frameworks as well as applied research with proved data sets are similarly appreciated.With the growing pressure on infrastructure systems under the impacts of climate change, urbanization, and resources scarcity, the digital transformation needs to respond to the requirements of sustainability. With the aim of enhancing dialogue, innovation and collaboration between researchers, practitioners, policy-makers and developers of technologies dedicated to the optimistic future of the built environment, the platform is set up to support discussion and development of intelligent, lifecycle-driven resilient architecture of infrastructure architectures of the future.Manuscripts of high quality that are original and would help in advancing knowledge, as well as practice and implementation in this rapidly developing field are encouraged.The construction sector remains one of the largest contributors to global carbon emissions, material consumption, and lifecycle inefficiencies. While Building Information Modeling (BIM) and Construction 4.0 technologies have advanced rapidly, their integration with lifecycle-based sustainability assessment remains fragmented and inconsistently implemented. Most infrastructure projects still treat digital tools as visualization or coordination platforms rather than decision-support systems for carbon reduction, durability optimization, and resource efficiency. This disconnect limits the sector’s ability to achieve measurable sustainability targets and long-term resilience.This Research Topic seeks to address this gap by promoting the integration of BIM with lifecycle assessment (LCA), digital twins, AI-driven optimization, IoT-enabled monitoring, and predictive asset management frameworks. Recent advances in embodied carbon quantification, real-time performance analytics, automation, and data interoperability offer opportunities to embed sustainability from early design through operation and end-of-life phases. By aligning digital transformation with lifecycle thinking, the goal is to enable data-driven, performance-based infrastructure systems that are environmentally responsible, economically viable, and technologically robust.This Research Topic focuses on the integration of Building Information Modeling (BIM) and Construction 4.0 technologies to enable lifecycle-based sustainable infrastructure development. Contributions are invited on themes including BIM-integrated Life Cycle Assessment (LCA), embodied carbon modeling, digital twins for infrastructure performance monitoring, AI-driven design and material optimization, IoT-enabled durability assessment, smart construction site automation, robotics and additive manufacturing in sustainable construction, blockchain for supply chain transparency, and circular economy strategies embedded within digital workflows. Studies addressing interoperability, data governance, cybersecurity, and policy frameworks supporting digital sustainability transitions are also encouraged.We welcome original research articles, case studies, technical notes, methodological frameworks, review papers, and industry implementation reports. Interdisciplinary contributions demonstrating measurable sustainability outcomes, validated datasets, scalability, and practical applicability are particularly encouraged. Topic editors: Amit Srivastava, NIKHIL GARG, Sourav Kumar Das, Pranshoo Solanki Source: https://www.frontiersin.org/research-topics/78768/leveraging-building-information-modeling-bim-and-construction-40-technologies-for-lifecycle-based-sustainable-infrastructure-development