Research on the Spatiotemporal Evolution of Urban Resilience Based on GA-BP Neural Network
Cities,as a complex system with multiple subsystems,are facing increasing risk pressure and disaster interference.The construction of resilient city has become an important path to promote urban safety,health,and sustainable development.The ar-ticle takes typical cities in Jiangsu and Anhui provinces as the research object,constructs an urban resilience evaluation index sys-tem.Based on the GA-BP neural network model,it analyzes the spatiotemporal evolution trend of urban resilience levels of 8 typical cities in Jiangsu and Anhui provinces from 2016 to 2020.On this basis,relevant policy recommendations for urban resilience devel-opment are proposed according to local conditions,in order to enhance the overall resilience level of cities in Jiangsu and Anhui provinces.
万方数据
维普
