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Commitment Indicators for Tracking Sustainable Design Decisions in Construction Projects

Author

Listed:
  • Mustafa S. Al-Tekreeti

    (Industrial Engineering Department, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates)

  • Salwa M. Beheiry

    (Civil Engineering Department, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates)

  • Vian Ahmed

    (Industrial Engineering Department, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates)

Abstract

The construction industry is considered one of the largest contributors to climate change through its consumption of natural resources and generation of greenhouse gases. Much of this can be attributed to inadequate decision making and follow-up within construction companies. To mitigate this problem, considerable research on Sustainable Development (SD) reports on decision support systems have been developed in order to make sound decisions with respect to the environment. Nonetheless, and despite the availability of such tools, these systems fail to track the commitment to SD decisions and goals during the different phases of construction projects in general and the design phase in particular. As such, this study identified three standard SD indicators: waste reduction, energy consumption, and carbon emissions as the main contributors, and developed the framework to track the project stakeholders’ commitment to the relevant SD indicators during the project design phase. The developed framework was validated via an expert panel and used to create a Sustainable Development Commitment Tracking Tool (SDCTT-D). The SDCTT-D tool was also applied in an infrastructure project case study. The results of this study gauged the usability of the developed tool and corroborated the research premise.

Suggested Citation

  • Mustafa S. Al-Tekreeti & Salwa M. Beheiry & Vian Ahmed, 2022. "Commitment Indicators for Tracking Sustainable Design Decisions in Construction Projects," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6205-:d:819470
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    References listed on IDEAS

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    1. Maher Awad Abuhussain, 2024. "Integrated Fuzzy Technique for Order Preference by Similarity to Ideal Solution and Emotional Artificial Neural Network Model for Comprehensive Risk Prioritization in Green Construction Projects," Sustainability, MDPI, vol. 16(22), pages 1-23, November.

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