The Uniform Cost-Distance Steiner Tree Problem asks for a rooted tree that minimizes the connection cost plus a weighted sum of root-to-terminal distances. We develop an algorithm that constructs two candidate trees: one based on direct connections to the root and another that pairs selected vertices and connects each pair to the root. The algorithm selects the tree with the smaller objective value. The resulting randomized algorithm achieves expected approximation factors of $1.698$ in the spanning case and $2.041$ in the general case, and it can be derandomized in polynomial time. The pairwise matching analysis charges part of the augmentation cost directly to the connection and delay costs of an optimal solution, rather than only to the separated lower bound used in previous analyses. This allows the $1.698$ factor to fall below the maximum multiplicative gap of $1+1/\sqrt{2}$ between the optimum value and that lower bound. We give instance families with approximation-ratio lower bounds approaching $1+1/\sqrt{2}$ for cut-and-reconnect algorithms that start from a minimum spanning tree and $3/2$ for the present algorithm. Finally, we show that the Uniform Cost-Distance Steiner Tree Problem and the Steiner-tree version of the Cable-Trench Problem are approximation equivalent up to an arbitrarily small additive loss.

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