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npj Materials Sustainability· 2024

Digital technologies for construction sustainability: Status quo, challenges, and future prospects

Weisheng Lu, Jinfeng Lou, Benjamin Kwaku Ababio, Ray Y. Zhong et al.

Short summary

A systematic review of 72 articles reveals that Building Information Modeling, IoT, big data, and AI are key digital technologies for construction sustainability, primarily applied in integration, optimization, tracking, and training.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Building Information Modeling, IoT, big data, and AI are the most prominent digital technologies for construction sustainability.
  • DT applications in construction sustainability are clustered into integration/collaboration, optimization/simulation, tracking/monitoring, and training.
  • A content analysis of 72 articles forms the basis of the review's findings.
  • Future research should focus on integrated systems, long-term performance, and advanced simulation techniques.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract The nexus between digital technologies (DTs) and sustainability in the built environment has attracted increasing research interest in recent years, yet understanding DT utilization and its impact on construction processes remains fragmented. To address this gap, this study conducts a systematic review of the construction sustainability literature to analyze and synthesize research findings on the application of DTs at various stages of the construction lifecycle. We undertake an in-depth content analysis of 72 articles, with findings revealing that prominent DTs for construction sustainability include building information modeling, the Internet of Things, big data, and artificial intelligence. We also identify that the application of DTs for sustainability across the construction lifecycle is clustered in four areas: namely (1) integration and collaboration; (2) optimization, simulation, and decision-making; (3) tracking, monitoring, and control; and (4) training. Based on existing knowledge gaps, future research opportunities are identified, including the development of integrated and interoperable systems, long-term performance and resilience, and advanced simulation and modeling techniques. This study contributes to the literature on construction digitalization by offering a complete overview of research investigations in relation to construction sustainability and identifying research crucial to advancing a DT-enabled sustainable built environment.

The authors' abstract, as published at the source. npj Materials Sustainability, 2024 · DOI ↗

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Field: Nuclear Energy and Engineering

Nuclear Energy and EngineeringEnergy