Abstract This paper addresses the minimax regret sink location problem in dynamic tree networks. In our model, a dynamic tree network consists of an undirected tree with positive edge lengths and uniform edge capacity, and the vertex supply which is a positive value is unknown but only the interval of supply is known. A particular realization of supply to each vertex is called a scenario. Under any scenario, the cost of a sink location x is defined as the minimum time to complete the evacuation to x for all supplies (evacuees), and the regret of x is defined as the cost of x minus the cost of the optimal sink location. Then, the problem is to find a sink location which minimizes the maximum regret for all possible scenarios. We present an O(n² log² n) time algorithm for the minimax regret sink location problem in dynamic tree networks with uniform capacity, where n is the number of vertices in the network. As a preliminary step for this result, we also address the minimum cost sink location problem in a dynamic tree networks under a fixed scenario and present an O(n logn) time algorithm, which improves upon the existing time bound of O(n log² n) by if edges of a tree have uniform capacity.