In the rapidly evolving landscape of smart city construction, a groundbreaking study led by Yerevan A. Ali from the Department of Civil Engineering at the College of Engineering, University of Baghdad, is set to revolutionize how we approach project management. Published in the esteemed *Journal of Engineering* (translated to English as *Journal of Engineering*), this research employs the Fuzzy DEMATEL model to predict key parameters affecting the cost and duration of sustainable smart city construction projects. The findings could have significant commercial implications, particularly for the energy sector, which is increasingly intertwined with urban development.
Ali and his team analyzed sixteen parameters across ten construction projects, identifying those that most significantly impact project outcomes. The study revealed that the “application of sustainability standards” and “effective coordination between contractors” are critical factors influencing both cost and duration. “These parameters are not just theoretical constructs; they are practical levers that can be pulled to enhance project efficiency and reduce costs,” Ali explained. The research underscores the importance of integrating sustainability standards early in the planning process, a move that could yield substantial savings and improve project timelines.
One of the most compelling aspects of this study is its use of the Fuzzy DEMATEL model, which provides a visualization of causal relationships among the parameters. This tool offers a clear roadmap for decision-makers, enabling them to prioritize actions that will have the most significant impact on project success. “By understanding these relationships, we can make more informed decisions that lead to smarter, more efficient construction projects,” Ali noted.
The study also found that the “availability of raw materials” has a lower influence on project outcomes, a finding that challenges conventional wisdom. This insight could prompt a shift in how construction projects are planned and executed, with a greater emphasis on sustainability and coordination rather than material availability.
For the energy sector, these findings are particularly relevant. As smart cities increasingly rely on advanced energy systems, the ability to predict and manage project costs and durations becomes crucial. The research suggests that by focusing on sustainability standards and effective coordination, energy projects within smart cities can be completed more efficiently, reducing both financial risks and environmental impacts.
The implications of this research extend beyond the immediate scope of construction. By providing a practical framework for decision-making, it offers a blueprint for enhancing planning and implementation in smart construction projects. “This is not just about building smarter cities; it’s about building a more sustainable future,” Ali emphasized.
As the construction industry continues to evolve, the integration of fuzzy-based methodologies like the DEMATEL model could become a standard practice. This shift could lead to more predictable, cost-effective, and sustainable construction projects, ultimately benefiting both developers and end-users. The study’s findings are a testament to the power of data-driven decision-making and the potential it holds for transforming the construction landscape.