Assessing the Influence of Sustainability Using Artificial Neural Networks in Construction Projects

Manikandaprabhu Sundaramoorthy, Durgesh Kumar Sahu, Varadharajan R, Sudarsan Jayaraman Sethuraman () and Ahmad Baghdadi ()
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Manikandaprabhu Sundaramoorthy: Department of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu 603203, Tamil Nadu, India
Durgesh Kumar Sahu: Department of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu 603203, Tamil Nadu, India
Varadharajan R: Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu 603203, Tamil Nadu, India
Sudarsan Jayaraman Sethuraman: School of Energy and Environment, NICMAR University, Pune 411045, Maharashtra, India
Ahmad Baghdadi: Department of Civil and Environmental Engineering, College of Engineering and Computing, Al-Qunfudhah, Umm Al-Qura University, Mecca 21955, Saudi Arabia

Sustainability, 2025, vol. 17, issue 5, 1-14

Abstract: Sustainability is maintained by regular practices, but many factors may directly or indirectly affect sustainability in the construction industry. This paper introduces an enhancement in manageability to improve the factors that can actualize some imperative factors with the help of an ANN framework approach. The primary approach of this paper is to discover the present variables that influence supportability in the development of the construction industry. This paper considers the qualitative meta-analysis approach for collecting all information and contents. The major problems and sub-problems are identified through a combination of literature study, case studies, and conversational interviews which inform the development of the questionnaire survey. A statistical analysis was conducted to explore the most impacting factors causing/affecting sustainability in construction projects. Furthermore, a comparative study between various assigned personnel was analyzed. This investigation will recognize the factors that impact sustainability the most in construction projects. The investigation reveals that sustainability in a development venture is primarily influenced by job security, which is distinguished as the basic factor. The other major factors are material usage and facility; internal and external challenges within the construction industry are the main considerations which are fundamentally in charge of the sustainability of construction projects.

Keywords: artificial neural network (ANN); factors; construction industry; statistical analysis; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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