Decision-makers (DMs) will face severe challenges when selecting optimal alternative for emergency response over multiple time periods. The aim of this paper is to develop a novel dynamic emergency decision-making method with probabilistic hesitant fuzzy information for handling emergencies. Firstly, an approach based on GM(1,1) model for predicting the decision-making information at the next stage is proposed. Secondly, a new probabilistic hesitant fuzzy distance measure based on the hesitant degree of probabilistic hesitant fuzzy element (PHFE) is put forward, and a mathematical programming model to determine the stage weights is established. What’s more, the closeness degree between each alternative and ideal alternative is calculated and the emergency alternatives are ranked on the strength of TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method. Moreover, a practical example is used to verify the feasibility and rationality of the proposed method.