Research on constructing sponge city indicator and decision evaluation model with fuzzy multiple criteria method

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13 Citations (Scopus)

Abstract

Cities face acute shock like hurricanes and floods, and chronic stresses such as droughts, water shortages, urban floods, and urban using water. How cities can create a development model in which the water and environment can coexist to alleviate the problem with urban water has become a common problem faced by countries or cities. Sponge city construction becomes a possible option to meet these challenges. According to the dimensions of pre-assessment, this article constructs the sponge city assessment indicator which is divided into three aspects: water ecosystem, socioeconomic system, and institutional and mechanism system; then, the degree of importance and degree of satisfaction are applied as the evaluation framework for the fuzzy multiple criteria to perform the comparison between the government officials and the public regarding the evaluation to analyze group differences. The results are that the difference in the evaluation dimensions between the officials and the public is between 0.8 and 1, but there exists difference in the degree of importance of water management and water use, and in the degree of satisfaction with water development, water efficiency, and mechanism. This result is helpful to find the problems and provide a decision basis for the further exploration. Practitioner points: Constructed indicators for sponge city construction, which can be used to evaluate stormwater management. Using fuzzy multiple criteria to compare officials and public can be used as a basis for decision-making in water management. Constructed three indicators of sponge city: water ecosystem, socioeconomic system, and institutional and mechanism system.

Original languageEnglish
Pages (from-to)1910-1921
Number of pages12
JournalWater Environment Research
Volume92
Issue number11
DOIs
Publication statusPublished - 2020 Nov 1

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Ecological Modelling
  • Water Science and Technology
  • Waste Management and Disposal
  • Pollution

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