| Title | Establishing a sustainable development assessment framework for a smart city using a hybrid Z-fuzzy-based decision-making approach |
|---|---|
| ID_Doc | 38316 |
| Authors | Shao, QG; Jiang, CC; Lo, HW; Liou, JJH |
| Title | Establishing a sustainable development assessment framework for a smart city using a hybrid Z-fuzzy-based decision-making approach |
| Year | 2023 |
| Published | Clean Technologies And Environmental Policy, 25, 9 |
| 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. |
| https://www.researchsquare.com/article/rs-1210313/latest.pdf |
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