Evaluation of factors found to influence urban flood resilience in China

This study combines a more comprehensive evaluation of resilience levels with a study of the structural factors of flood resilience. In countries with major flood-prone cities, such as China, further research is necessary to allow urban communities to coexist with flood threats. In this research, the index system of urban flood resilience is further perfected, and a new comprehensive evaluation model is developed by integrating interpretative structural modeling (ISM), the analytic network process (ANP) and the technique for order preference by similarity to an ideal solution (TOPSIS)

The results show that the levels of rainfall and vulnerability of groups were the fundamental factors affecting urban flood resilience. Indicators such as average annual rainfall, fixed-asset investments, and emergency rescue capabilities were also found to have a greater impact on urban flood resilience. In the study area, Xi’an was found to have a higher level of resilience due to having strong ecological environmental resilience.