Prediction of Key Parameters Affecting Cost and Duration of Sustainable Smart City Construction Projects Using the Fuzzy DEMATEL Model
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Abstract
This study develops prediction models for smart management system of construction projects by identifying the parameters that influence project cost and duration. Among sixteen parameters, the Fuzzy DEMATEL model is applied to a sample of ten construction projects to estimate the net influence weights (D-R) of these parameters on cost and duration of these projects. The outcomes indicated that the model demonstrated high accuracy in predicting the key parameters affecting cost and duration. In particular, both the "application of sustainability standards" and "effective coordination between contractors" significantly impact project cost and duration. On the other hand, "the availability of raw materials" was found to be a parameter with lower influence. Based on these outcomes, the model offers a visualization of causal relationships, which supports in prioritizing smart project efficiency. This study highlights the importance of fuzzy-based methodologies in construction project analysis and offers a practical framework for decision-making to enhance planning and implementation in smart construction projects.
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