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Construction Projects Assessment Based on the Sustainable Development Criteria by an Integrated Fuzzy AHP and Improved GRA Model

Author

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  • Seyed Morteza Hatefi

    (Department of Civil Engineering, Faculty of Engineering, Shahrekord University, P.O. Box 115, 64165478 Shahrekord, Iran, smhatefi@alumni.ut.ac.ir)

  • Jolanta Tamošaitienė

    (Civil Engineering Faculty, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT 2040 Vilnius, Lithuania)

Abstract

Due to the increasing population and earth pollution, managing construction and infrastructure projects with less damage to the environment and less pollution is very important. Sustainable development aims at reducing damage to the environment, making projects economical, and increasing comfort and social justice. This study proposes fuzzy analytic hierarchy process (AHP) and improved grey relational analysis (GRA) to assess construction projects based on the sustainable development criteria. For doing so, sustainable development criteria are first identified in economic, social, and environmental dimensions using literature review, and are then customized for urban construction projects using experts’ opinions. After designing questionnaires and collecting data, fuzzy AHP is used for determining the importance of sustainable development criteria and their subcriteria. Then, improved GRA is employed for assessing six recreational, commercial, and official centers in Isfahan regarding the weights of criteria and subcriteria. The proposed fuzzy AHP-improved GRA help us to prioritize construction projects based on the sustainable development criteria. The results of applying fuzzy AHP show that the weights of economic, social, and environmental criteria are equal to 0.330, 0.321, and 0.349, respectively, which are close to each other. This means that the importance of all three aspects of sustainability is almost equal to each other. Furthermore, “Having profits for the society”, “Increasing social justice”, and “Adherence to environmental policies” are identified as the most important indicators of sustainable development in terms of economic, social, and environmental aspects, respectively. Finally, the results of employing improved GRA determine Negin Chaharbagh recreational and commercial complex as the best project.

Suggested Citation

  • Seyed Morteza Hatefi & Jolanta Tamošaitienė, 2018. "Construction Projects Assessment Based on the Sustainable Development Criteria by an Integrated Fuzzy AHP and Improved GRA Model," Sustainability, MDPI, vol. 10(4), pages 1-14, March.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:991-:d:138368
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    References listed on IDEAS

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    Cited by:

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    2. Hongyang Li & Ruoyu Jin & Xin Ning & Martin Skitmore & Tianyao Zhang, 2018. "Prioritizing the Sustainability Objectives of Major Public Projects in the Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 10(11), pages 1-23, November.
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    8. Vahidreza Yousefi & Siamak Haji Yakhchali & Jolanta Tamošaitienė, 2019. "Application of Duration Measure in Quantifying the Sensitivity of Project Returns to Changes in Discount Rates," Administrative Sciences, MDPI, vol. 9(1), pages 1-14, February.
    9. Ming Li & Anning Tian & Shuyi Li & Xiaoyu Qi, 2018. "Evaluating the Quality of Enterprise Environmental Accounting Information Disclosure," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    10. M. Alimohammadlou & Z. Khoshsepehr, 2022. "Investigating organizational sustainable development through an integrated method of interval-valued intuitionistic fuzzy AHP and WASPAS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2193-2224, February.
    11. Xue, Jie & Yip, Tsz Leung & Wu, Bing & Wu, Chaozhong & van Gelder, P.H.A.J.M., 2021. "A novel fuzzy Bayesian network-based MADM model for offshore wind turbine selection in busy waterways: An application to a case in China," Renewable Energy, Elsevier, vol. 172(C), pages 897-917.
    12. Xiongyong Zhou & Zhiduan Xu, 2018. "An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation," Sustainability, MDPI, vol. 10(7), pages 1-49, July.
    13. Ahmad Soltanzadeh & Mohsen Mahdinia & Alireza Omidi Oskouei & Ehsan Jafarinia & Esmaeil Zarei & Mohsen Sadeghi-Yarandi, 2022. "Analyzing Health, Safety, and Environmental Risks of Construction Projects Using the Fuzzy Analytic Hierarchy Process: A Field Study Based on a Project Management Body of Knowledge," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    14. Rakan Alyamani & Suzanna Long, 2020. "The Application of Fuzzy Analytic Hierarchy Process in Sustainable Project Selection," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    15. Rakan Alyamani & Suzanna Long & Mohammad Nurunnabi, 2021. "Evaluating Decision Making in Sustainable Project Selection Between Literature and Practice," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    16. Yijian Liu & Chaoqun Zhou & Lin Li & Liang Su & Yuanbiao Zhang, 2018. "Fragile States Metric System: An Assessment Model Considering Climate Change," Sustainability, MDPI, vol. 10(6), pages 1-29, May.
    17. Teodora M. Șoimoșan & Ligia M. Moga & Livia Anastasiu & Daniela L. Manea & Aurica Căzilă & Čedomir Zeljković, 2021. "Overall Efficiency of On-Site Production and Storage of Solar Thermal Energy," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    18. Augustinas Maceika & Andrej Bugajev & Olga Regina Šostak & Tatjana Vilutienė, 2021. "Decision Tree and AHP Methods Application for Projects Assessment: A Case Study," Sustainability, MDPI, vol. 13(10), pages 1-33, May.

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