<p>Scientific and reasonable evaluation of the level of resilience construction of sponge cities is the basis for formulating sponge city related policies and carrying out performance evaluation. In this study, with the resilience evaluation of sponge city as the core, the resilience evaluation indicators system of sponge city is constructed from DAA framework consists of disaster defense layer (<i>D</i>), disaster absorption layer (<i>A</i>) and disaster adaptation layer (<i>A</i>). Taking the Wuhu city as the study area, the relevant data were collected of the sponge city construction during 2012–2021, and the Projection Pursuit model based real coding-based Accelerating Genetic Algorithm (PP-RAGA) model was used to measure the resilience level of the sponge city. The results showed that the road area and forest coverage in the index layer had the greatest influence on the resilience level, and the order of influence in the criterion layer was adsorption &gt; adaptation &gt; defense. This study comprehensively analyzes the role of infrastructure in resilient governance in sponge city construction, scientifically assesses the resilience of the sponge city development, and analyzes existing challenges by identifying the key obstacle factors affecting the sponge city resilience level. The findings provide valuable insights for the sponge city initiatives in China and other developing countries worldwide.</p>