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A Comprehensive Framework for Evaluating Sustainable Green Building Indicators under an Uncertain Environment

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  • Mohamed Abdel-Basset

    (Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Egypt)

  • Abduallah Gamal

    (Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Egypt)

  • Ripon K. Chakrabortty

    (Capability Systems Centre, School of Engineering and IT, University of New South Wales, Canberra 2052, Australia)

  • Michael Ryan

    (Capability Systems Centre, School of Engineering and IT, University of New South Wales, Canberra 2052, Australia)

  • Nissreen El-Saber

    (Faculty of Computers and Informatics, Zagazig University, Zagazig 44519, Egypt)

Abstract

The development of sustainable green buildings (GBs) is a major contribution to the preservation of the environment. Sustainable thinking in GB construction is not a supplementary element, but rather necessary to achieve the building’s functional, economic, and environmental efficiency in order to preserve resources and meet current and future needs. In particular, developing countries can apply the idea of sustainability in GBs by following international policies and standards, combined with their local characteristics, to construct GBs that are aligned with the environment and are in line with the available local capabilities and resources. The paper focuses on the dimensions and indicators of sustainable design for GBs in developing countries to achieve the positive dimensions of building sustainability, such as preserving energy and natural resources, water management, adaptation to the surrounding environment, and respecting the needs of its users. We assess and prioritize the dimensions and indicators of GBs through the use of a multi-criteria decision-making (MCDM) method under a neutrosophic environment. Initially, the Delphi method is employed to capture preference and to determine the dimensions and their indicators in addition to provide preference among sub-indicators. The relative importance of the selected dimensions and indicators is assessed through the analytical hierarchy method (AHP) method. The results indicate that the water efficiency dimension is the most significant, with a weight of 0.330, while the energy efficiency dimension is the least significant for GBs in developing countries, with a weight of 0.100. The paper concludes with a set of administrative implications for applying sustainable development strategies in GBs.

Suggested Citation

  • Mohamed Abdel-Basset & Abduallah Gamal & Ripon K. Chakrabortty & Michael Ryan & Nissreen El-Saber, 2021. "A Comprehensive Framework for Evaluating Sustainable Green Building Indicators under an Uncertain Environment," Sustainability, MDPI, vol. 13(11), pages 1-25, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6243-:d:567054
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    1. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava & Pandey, Krishna Murari, 2017. "Optimal green energy planning for sustainable development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 796-813.
    2. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Nor, Khalil M.D. & Khoshnoudi, Masoumeh, 2016. "Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework," Energy, Elsevier, vol. 117(P1), pages 131-148.
    3. Zhang, Xiaohong & Wu, Liqian & Zhang, Rong & Deng, Shihuai & Zhang, Yanzong & Wu, Jun & Li, Yuanwei & Lin, Lili & Li, Li & Wang, Yinjun & Wang, Lilin, 2013. "Evaluating the relationships among economic growth, energy consumption, air emissions and air environmental protection investment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 259-270.
    4. Shad, Rouzbeh & Khorrami, Mohammad & Ghaemi, Marjan, 2017. "Developing an Iranian green building assessment tool using decision making methods and geographical information system: Case study in Mashhad city," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 324-340.
    5. Qianwen Li & Ruyin Long & Hong Chen & Feiyu Chen & Xiu Cheng, 2019. "Chinese urban resident willingness to pay for green housing based on double-entry mental accounting theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 129-153, January.
    6. Wu, Peng & Song, Yongze & Shou, Wenchi & Chi, Hunglin & Chong, Heap-Yih & Sutrisna, Monty, 2017. "A comprehensive analysis of the credits obtained by LEED 2009 certified green buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 370-379.
    7. Yu, Wei & Li, Baizhan & Yang, Xincheng & Wang, Qingqin, 2015. "A development of a rating method and weighting system for green store buildings in China," Renewable Energy, Elsevier, vol. 73(C), pages 123-129.
    8. Kahraman, Cengiz & Cebeci, Ufuk & Ruan, Da, 2004. "Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey," International Journal of Production Economics, Elsevier, vol. 87(2), pages 171-184, January.
    9. Zhang, Xiaoling & Shen, Liyin & Zhang, Lei, 2013. "Life cycle assessment of the air emissions during building construction process: A case study in Hong Kong," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 160-169.
    10. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2017. "GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas," Applied Energy, Elsevier, vol. 191(C), pages 1-9.
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