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.
The increasing demand of humankind has caused a large number of land use changes, which pose a direct or indirect threat to the environment while promoting economic growth. The lack of risk-oriented land use changes may increase the disaster risk in the region. Therefore, how to study the relationship between land use change and disaster risk deserves attention. In this study, a research framework with quantitative relationship between land use change and disaster risk was constructed from the perspective of efficiency. The framework integrated land use change, disaster losses and environment variable (runoff increment) into a three-stage data envelopment analysis (DEA) assessment model to dynamically evaluate the impact of land use changes on disasters. The main conclusions include: (I) after the influence of runoff increment and random error was excluded, the overall risk score of counties and cities in Taiwan is 0.643, which represents a relatively high level, indicating that land use changes have caused high disaster risk; and (II) the vulnerability of land development in each county and city can be obtained through the comprehensive score of disaster risk the amount of unused input. The results of this study can help government agencies to rank various types of land development and then determine the acceptable risk level and incorporate disaster risk into land development.
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