Leakage and energy consumption in urban water distribution networks (WDNs) have been receiving increasing attention, and pressure management based on district metered areas (DMAs) can effectively control leakage and save energy. In this paper, a new design method for establishing DMAs and carrying out pressure management is proposed. First, the combination of the non-dominated sorting genetic algorithm (NSGA-III) and spectral clustering algorithms, considering the partition cost, operation and management difficulty, post-partition water quality safety, and network water supply capacity factors, identifies the best DMA layouts and the corresponding boundary pipes with the help of multicriteria decision making (MCDM) methods. Second, the non-dominated sorting genetic algorithm (NSGA-II) is used to solve the optimal arrangement model of valves and flow meters on the boundary pipes, and the optimal arrangement is determined based on the equipment cost, water quality safety, and leakage control effect after partition. Finally, pressure reducing valves (PRVs) are installed at the inlet of the DMAs, and a genetic algorithm is used to solve the joint scheduling optimization model of the PRVs and pump station in WDNs to determine the optimal scheduling strategy for the PRVs and the fixed and variable speed pumps for leakage control and energy saving. The proposed method is applied to the SH town network. Results reveal that the method can establish DMAs considering multiple objectives. Furthermore, pressure management in DMAs can not only significantly reduce leakage and energy consumption of pumping stations but also improve the water quality of networks. Therefore, this method can provide a reference for water utilities in establishing DMAs and carrying out pressure management in WDNs in the future.