YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • ASME Journal of Engineering for Sustainable Buildings and Cities
    • View Item
    •   YE&T Library
    • ASME
    • ASME Journal of Engineering for Sustainable Buildings and Cities
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Enhancing Sustainability and Construction Safety Research in the Era of Artificial Intelligence

    Source: ASME Journal of Engineering for Sustainable Buildings and Cities:;2026:;volume( 007 ):;issue:002::page 188
    Author:
    Gupta, Abhijeet
    ,
    Singh, Shruti
    ,
    Asari, Vijayan
    ,
    Nguyen, Tam V.
    DOI: 10.1115/1.4071434
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Construction remains one of the most hazardous global industries, with worker fatalities occurring approximately every 99 min. However, safety is intrinsically linked to broader project performance; a truly safe construction site is hazard free, organized, and efficient, thereby minimizing waste and resource depletion. In response, a growing body of research has explored the use of advanced technologies, such as machine learning, robotics, wearable, and immersive visualization, to synergize safety improvements with sustainable building practices. In this article, we systematically review 165 peer-reviewed articles in the era of artificial intelligence (AI) that capture how technologies have evolved to address the dual imperatives of safety and sustainability in response to technology-driven transformation. To analyze this inflection, the article develops a four-domain taxonomy spanning AI, visualization, surveillance, navigation and collaboration, and wearable technology each mapped against both earlier and recent research studies. Crucially, we highlight emerging dual-utility applications, such as the use of “green digital twins” for real-time lighting optimization and UAVs for building envelope energy auditing. By mapping this transition, this article provides a grounded perspective on current capabilities, identifies research practice gaps, and supports informed decision-making for the implementation of future-integrated safety and sustainability technologies. The insights derived are aimed at supporting researchers, technology developers, and industry professionals to guide future integration of advanced, sustainable construction safety practices. Our review identifies recurring themes in the recent studies, including the integration of real-time sensing, multimodal data fusion, and user-centered system design. It also highlights unresolved challenges related to cross-project generalizability and long-term field adoption. By offering this structured analysis, the review aims to contribute a domain-wise benchmark of progress, capturing the recent technological inflection in construction safety and sustainability, and outlining future opportunities to support researchers, technology developers, and industry professionals.
    • Download: (2.194Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Enhancing Sustainability and Construction Safety Research in the Era of Artificial Intelligence

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4315938
    Collections
    • ASME Journal of Engineering for Sustainable Buildings and Cities

    Show full item record

    contributor authorGupta, Abhijeet
    contributor authorSingh, Shruti
    contributor authorAsari, Vijayan
    contributor authorNguyen, Tam V.
    date accessioned2026-08-23T08:00:25Z
    date available2026-08-23T08:00:25Z
    date copyright2026/05/01
    date issued2026
    identifier issn2642-6641
    identifier otherjesbc-25-1069.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315938
    description abstractAbstract. Construction remains one of the most hazardous global industries, with worker fatalities occurring approximately every 99 min. However, safety is intrinsically linked to broader project performance; a truly safe construction site is hazard free, organized, and efficient, thereby minimizing waste and resource depletion. In response, a growing body of research has explored the use of advanced technologies, such as machine learning, robotics, wearable, and immersive visualization, to synergize safety improvements with sustainable building practices. In this article, we systematically review 165 peer-reviewed articles in the era of artificial intelligence (AI) that capture how technologies have evolved to address the dual imperatives of safety and sustainability in response to technology-driven transformation. To analyze this inflection, the article develops a four-domain taxonomy spanning AI, visualization, surveillance, navigation and collaboration, and wearable technology each mapped against both earlier and recent research studies. Crucially, we highlight emerging dual-utility applications, such as the use of “green digital twins” for real-time lighting optimization and UAVs for building envelope energy auditing. By mapping this transition, this article provides a grounded perspective on current capabilities, identifies research practice gaps, and supports informed decision-making for the implementation of future-integrated safety and sustainability technologies. The insights derived are aimed at supporting researchers, technology developers, and industry professionals to guide future integration of advanced, sustainable construction safety practices. Our review identifies recurring themes in the recent studies, including the integration of real-time sensing, multimodal data fusion, and user-centered system design. It also highlights unresolved challenges related to cross-project generalizability and long-term field adoption. By offering this structured analysis, the review aims to contribute a domain-wise benchmark of progress, capturing the recent technological inflection in construction safety and sustainability, and outlining future opportunities to support researchers, technology developers, and industry professionals.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEnhancing Sustainability and Construction Safety Research in the Era of Artificial Intelligence
    typeJournal Paper
    journal volume7
    journal issue2
    journal titleASME Journal of Engineering for Sustainable Buildings and Cities
    identifier doi10.1115/1.4071434
    journal fristpage188
    journal lastpage197
    page10
    treeASME Journal of Engineering for Sustainable Buildings and Cities:;2026:;volume( 007 ):;issue:002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian