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Comparison between Multi-Criteria Decision-Making Methods and Evaluating the Quality of Life at Different Spatial Levels

Author

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  • Samira Vakilipour

    (Geoinformation Tech. Center of Excellence, Faculty of Geodesy & Geomatics Engineering, K. N. Toosi University of Technology, Tehran 19697, Iran
    These authors contributed equally to this work.)

  • Abolghasem Sadeghi-Niaraki

    (Geoinformation Tech. Center of Excellence, Faculty of Geodesy & Geomatics Engineering, K. N. Toosi University of Technology, Tehran 19697, Iran
    Department of Computer Science and Engineering, and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 143-747, Korea
    These authors contributed equally to this work.)

  • Mostafa Ghodousi

    (Geoinformation Tech. Center of Excellence, Faculty of Geodesy & Geomatics Engineering, K. N. Toosi University of Technology, Tehran 19697, Iran)

  • Soo-Mi Choi

    (Department of Computer Science and Engineering, and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 143-747, Korea)

Abstract

Achieving a good urban form has been a problem since the formation of the earliest cities. The tendency of human populations toward living in urban environments and urbanization has made the quality of life more prominent. This article aimed to calculate the quality of life in an objective way. For this purpose, the technique for order preferences by similarity to ideal solution (TOPSIS), vlseKriterijumsk optimizacija kompromisno resenje (VIKOR), simple additive weighted (SAW), and elimination and choice expressing reality (ELECTRE) have been utilized. Quality of life was assessed at three spatial levels. In this regard, socioeconomic, environmental, and accessibility dimensions were considered. As a result, in the first level of comparison, sub-districts in District 6 were ranked higher than that of District 13. On the second level, for District 6, vicinity sub-districts had higher rankings than the center, and for District 13, sub-districts near the center of the city had higher rankings. In the third level, District 6 had a higher quality of life. The results of the comparison between research methods showed that the SAW method performs better in terms of stability. Based on the results of correlation tables, there was a strong and direct relationship between each pair of methods at three spatial levels. In addition, as the study area became smaller, the similarity between the methods increased.

Suggested Citation

  • Samira Vakilipour & Abolghasem Sadeghi-Niaraki & Mostafa Ghodousi & Soo-Mi Choi, 2021. "Comparison between Multi-Criteria Decision-Making Methods and Evaluating the Quality of Life at Different Spatial Levels," Sustainability, MDPI, vol. 13(7), pages 1-36, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:4067-:d:530989
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    References listed on IDEAS

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    Cited by:

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    2. Ahmed M. A. Shohda & Mahrous A. M. Ali & Gaofeng Ren & Jong-Gwan Kim & Ahmed M. Abdo & Wael R. Abdellah & Abbas M. Hassan, 2022. "Sustainable Assignment of Egyptian Ornamental Stones for Interior and Exterior Building Finishes Using the AHP-TOPSIS Technique," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    3. Mir Seyed Mohammad Mohsen Emamat & Caroline Maria de Miranda Mota & Mohammad Reza Mehregan & Mohammad Reza Sadeghi Moghadam & Philippe Nemery, 2022. "Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-35, December.
    4. Francesco Ciardiello & Andrea Genovese, 2023. "A comparison between TOPSIS and SAW methods," Annals of Operations Research, Springer, vol. 325(2), pages 967-994, June.
    5. Maria Julia Xavier Belem & Milton Vieira Junior & Giovanni Mummolo & Francesco Facchini, 2021. "An AHP-Based Procedure for Model Selection for Eco-Efficiency Assessment," Sustainability, MDPI, vol. 13(21), pages 1-21, November.
    6. Jana Coronicova Hurajova & Zuzana Hajduova, 2021. "Multiple-Criteria Decision Analysis Using TOPSIS and WSA Method for Quality of Life: The Case of Slovakia Regions," Mathematics, MDPI, vol. 9(19), pages 1-11, October.
    7. Marian Lubag & Joph Bonifacio & Jasper Matthew Tan & Ronnie Concepcion & Giolo Rei Mababangloob & Juan Gabriel Galang & Marla Maniquiz-Redillas, 2023. "Diversified Impacts of Enabling a Technology-Intensified Agricultural Supply Chain on the Quality of Life in Hinterland Communities," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    8. Katerina Kabassi, 2021. "Comparing Multi-Criteria Decision Making Models for Evaluating Environmental Education Programs," Sustainability, MDPI, vol. 13(20), pages 1-17, October.

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