Evaluating Modular House Construction Projects: A Delphi Method Enhanced by Conversational AI

被引:3
作者
Maceika, Augustinas [1 ]
Bugajev, Andrej [2 ]
Sostak, Olga R. [2 ]
机构
[1] Vilnius Gediminas Tech Univ, Fac Mech, Sauletekio Ave 11, LT-10223 Vilnius, Lithuania
[2] Vilnius Gediminas Tech Univ, Fac Fundamental Sci, Sauletekio Ave 11, LT-10223 Vilnius, Lithuania
关键词
modular building; project evaluation; ChatGPT; conversational AI; generative AI; artificial intelligence; Delphi method; MCDM; sustainability; PERFORMANCE; BUILDINGS;
D O I
10.3390/buildings14061696
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study focuses on evaluating modular house construction projects, which is a critical segment within sustainable building practices. Despite the significant advantages of modular construction, such as enhanced resource efficiency and reduced environmental impact, existing research often overlooks its unique attributes and constraints. Our objectives were to identify crucial parameters for a comprehensive evaluation of modular construction, particularly emphasizing sustainability, and to explore how an advanced conversational AI tool, ChatGPT, can assist in modular building assessments. We employed the Delphi method to define these parameters and integrated ChatGPT to develop a robust assessment methodology. This approach allowed us to harness AI-driven insights to enrich the evaluation process. Our findings suggest that ChatGPT delivers high-quality results comparable to those produced by experts in modular building assessments. ChatGPT formulated a detailed description of the evaluation scale for each criterion, effectively outlining the guidelines for evaluating modular house projects. To illustrate the effectiveness of our proposed methodology, we applied it to a real-world modular house project in Lithuania, demonstrating how this approach can significantly contribute to advancing sustainable construction practices.
引用
收藏
页数:36
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  • [1] Towards BIM-Based Sustainable Structural Design Optimization: A Systematic Review and Industry Perspective
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    Li, Rita Yi Man
    Ayyub, Muhammad Faisal
    Shoaib, Muhammad
    Bilal, Muhammad
    [J]. SUSTAINABILITY, 2023, 15 (20)
  • [2] A BIA-Based Quantitative Framework for Built Physical Asset Criticality Analysis under Sustainability and Resilience
    Aghabegloo, Mohsen
    Rezaie, Kamran
    Torabi, S. Ali
    Khalili, Seyed Mohammad
    [J]. BUILDINGS, 2023, 13 (01)
  • [3] Investigating associations among performance criteria in Green Building projects
    Ahmad, Tayyab
    Aibinu, Ajibade Ayodeji
    Stephan, Andre
    Chan, Albert P. C.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 232 : 1348 - 1370
  • [4] Managing engineering challenges in the design and implementation of eco-friendly residential structures
    Altarawneh, Nadeen A.
    Murtadha, Talib K.
    [J]. RESULTS IN ENGINEERING, 2023, 19
  • [5] Development of a material circularity evaluation framework for building construction projects
    Amarasinghe, Isuri
    Hong, Ying
    Stewart, Rodney A.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2024, 436
  • [6] [Anonymous], FasterCapital Chatgpt and Construction Industry Improving Project Management and Efficiency
  • [7] Inquiry on Perceptions and Practices of Built Environment Professionals Regarding Regenerative and Circular Approaches
    Benites, Henrique Sala
    Osmond, Paul
    Prasad, Deo
    [J]. BUILDINGS, 2023, 13 (01)
  • [8] A review of modular cross laminated timber construction: Implications for temporary housing in seismic areas
    Bhandari, Sujit
    Riggio, Mariapaola
    Jahedi, Sina
    Fischer, Erica C.
    Muszynski, Lech
    Luo, Zhixin
    [J]. JOURNAL OF BUILDING ENGINEERING, 2023, 63
  • [9] Determining Priorities in Infrastructure Management Using Multicriteria Decision Analysis
    Bosnjak, Ana
    Jajac, Niksa
    [J]. SUSTAINABILITY, 2023, 15 (20)
  • [10] Sustainability Transitions in the Construction Sector: A Bibliometric Review
    Candido, Luis Felipe
    Lazaro, Jose Carlos
    de Freitas e Silva, Adriano Olivier
    Neto, Jose de Paula Barros
    [J]. SUSTAINABILITY, 2023, 15 (17)