Smart City Gnosys
Smart city article details
| Title | Establishing A Sustainable Development Assessment Framework For A Smart City Using A Hybrid Z-Fuzzy-Based Decision-Making Approach |
|---|---|
| ID_Doc | 24349 |
| Authors | Shao Q.-G.; Jiang C.-C.; Lo H.-W.; Liou J.J.H. |
| Year | 2023 |
| Published | Clean Technologies and Environmental Policy, 25, 9 |
| DOI | http://dx.doi.org/10.1007/s10098-023-02547-7 |
| Abstract | With the intensification of urbanization, the application of contemporary technology to make cities smarter is the key to their sustainable development (SD). This study proposes a comprehensive sustainable assessment framework for the SD level of smart cities. First, an assessment system is proposed, which is composed of built form, urban infrastructure, environmental, social, and economic dimensions. These dimensions can be subdivided into 25 indicators. Second, a Z-fuzzy-based multiple criteria decision-making (MCDM) approach is developed to clarify the internal influence of the indicators and to determine the SD performance of smart cities. The Z-based decision-making trial and evaluation laboratory (Z-DEMATEL) technique was used to determine the mutual influence relationship among the indicators and to obtain their influence weights. Moreover, the Z-based technique for order preference by similarity to the ideal solution with the aspiration level (Z-TOPSIS-AL) approach was applied to analyze the sustainable development performance of a smart city. In this paper, we selected Xiamen city as a case study. The results demonstrate that “quality of life,” “per capita gross domestic product (GDP),” and “GDP growth rate” are the top three indicators, and their influence weights are 0.05, 0.046, and 0.046, respectively. From the perspective of dimensions, “economic” is the most influential dimension in the sustainable development of Xiamen. In addition, “GDP growth rate” has the greatest room for improvement overall. This study provides a reference for follow-up-related research, and the management findings provide a basis for managers to make decisions on the development of smart cities. Graphical abstract: [Figure not available: see fulltext.]. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. |
| Author Keywords | Performance assessment; Smart city; Sustainability; Z-based decision-making trial and evaluation laboratory; Z-based technique for order preference by similarity to the ideal solution |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
38175  | 0.9 | Akila D.; Pal S.; Sarkar B.; Jayalaksshmi S.; Muthaiyah S.; Anbananthen K.S.M. | Multi-Criteria Decision-Making Model To Achieve Sustainable Developmental Goals In Industry 4.0 For Smart City Infrastructure | HighTech and Innovation Journal, 5, 4 (2024) |
| 36592 | 0.895 | Kutty A.A.; Kucukvar M.; Onat N.C.; Ayvaz B.; Abdella G.M. | Measuring Sustainability, Resilience And Livability Performance Of European Smart Cities: A Novel Fuzzy Expert-Based Multi-Criteria Decision Support Model | Cities, 137 (2023) |
| 23951 | 0.892 | Lin S.-S.; Zheng X.-J. | Enhancing Smart City Assessment: An Advanced Mcdm Approach For Urban Performance Evaluation | Sustainable Cities and Society, 118 (2025) |
| 53852 | 0.888 | Abunada Z.; Dawoud O.; Kıymaz G. | Sustainability, Resilience, And Smartness: A Novel City Characterization Approach Using Zog-Diagram | Journal of Cleaner Production, 496 (2025) |
| 38176 | 0.885 | Ye F.; Chen Y.; Li L.; Li Y.; Yin Y. | Multi-Criteria Decision-Making Models For Smart City Ranking: Evidence From The Pearl River Delta Region, China | Cities, 128 (2022) |
| 1465 | 0.884 | Skvarciany, V; Jureviciene, D; Zitkiene, R; Lapinskaite, I; Dude, U | A Different Approach To The Evaluation Of Smart Cities' Indicators | TALTECH JOURNAL OF EUROPEAN STUDIES, 11, 2 (2021) |
| 10938 | 0.88 | Krishankumar R.; Mishra A.R.; Rani P.; Ecer F.; Ravichandran K.S. | Assessment Of Zero-Carbon Measures For Sustainable Transportation In Smart Cities: A Critic-Marcos Framework Based On Q-Rung Fuzzy Preferences | IEEE Internet of Things Journal, 10, 21 (2023) |
| 24859 | 0.879 | Xu, JY; Song, R; Zhu, H | Evaluation Of Smart City Sustainable Development Prospects Based On Fuzzy Comprehensive Evaluation Method | COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022 (2022) |
| 60738 | 0.878 | Zdravković N.; Simjanović D.; Šibalija T.; Vesić N. | Utilizing Fuzzy Ahp With Spherical Numbers To Indicate Ioe Factors For Successful Smart City Development | Lecture Notes in Electrical Engineering, 1226 LNEE (2024) |
| 58386 | 0.877 | Liu J.; Chen N.; Chen Z.; Xu L.; Du W.; Zhang Y.; Wang C. | Towards Sustainable Smart Cities: Maturity Assessment And Development Pattern Recognition In China | Journal of Cleaner Production, 370 (2022) |