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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.

Due to the many large earthquakes that have occurred in recent years, the role of seismic risk reduction in building resilient cities has become a matter of concern. The serious disaster damage brought by seismic hazards causes the adoption of migration policies such as building control in the preparedness phase. However, the restricted budget of governments resulting from the global state of economic distress generates a prioritization problem. A decision support framework could be helpful for governments to systematically integrate the complex information when implementing disaster risk reduction policies toward sustainable development. The purpose of this study was to construct an analytical framework based on Geographic Information System (GIS) and Data Envelopment Analysis (DEA) for addressing the prioritization problem by calculating policy efficiency. The spatial DEA-based framework combines indices calculation, spatial database construction, and DEA. Taiwan is an island located in the Circum-Pacific Belt, and has paid long-term attention to adopting policies for earthquake disaster prevention. A policy of earthquake-oriented urban renewal combining enhanced building capacity and city resilience has recently been implemented. A case study of the Yongkang district of the Tainan Metropolis in Taiwan was conducted in this study. The results show an operable framework and propose a suggestion for planning efficient policy priorities in each decision-making unit. In sum, the analytical framework proposed in this study could be a component of a decision support system for governments to adopt disaster risk reduction policies in the process of policy-making and implementation.