A multi-criteria integrated time-satisfaction-based maximal covering location model of urban emergency shelter locations for earthquake disaster was developed to identify shelter locations and evacuee distributions. First, considering the various conditions of an integrated considering options for urban emergency shelter locations for earthquake disaster, the TOPSIS method was used for the multiple criteria decision-making and comprehensive evaluation of the possible options. Secondly, after investigation on the time-satisfaction function of the supported units, a multi-criteria integrated timesatisfactionbased maximal covering location model based on the maximal covering location model and the partial covering idea was built. The optimal objective of the model was to maximize the satisfaction of both the support department and the supported units. Finally, a hybrid intelligent algorithm based on the genetic algorithm and particle swarm optimization was provided to solve the model. The computational results proved the effectiveness of the algorithm.