Research on Innovative Strategies of Artificial Intelligence Technology in Smart City Management and Its Practical Effects

Smart city management is the construction direction of the city in the new era, this paper improves the work on smart city management and establishes a smart city management evaluation system. Adopting the method of combining case and empirical research, City A is selected as the research object to construct a performance evaluation system with 17 performance evaluation indexes from five aspects: infrastructure, smart government, people-friendly services, security and development. The hierarchical analysis method and entropy weight method are used to derive the sovereign weight and objective weight respectively, and the two are combined to derive the comprehensive weight, and the Topsis model is used to evaluate the performance level of smart city management in City A. The final performance evaluation results are obtained after obtaining the closeness of each indicator in City A to the ideal solution and comparing the size of the closeness to the ideal solution of different cities. The safeguard index and beneficiary service index are the most and least weighted ones in the criterion layer, respectively. City A ranks fourth in the overall evaluation of smart management performance. There is still room for improvement in the smart government indicators and safeguard indicators. It has advantages in infrastructure indicators, people-friendly service indicators, and developmental indicators. In addition, the combined effect of multiple factors is much greater than the effect of single factors in enhancing the occurrence of spatial differentiation in the smart management performance of City A.