This paper presents a model for the expansion of transportation networks incorporating specific requirements about population coverage, budget constraints, intermediate goals and origin-destination flows, among others. The model is applicable to the current expansion project of the Spanish high-speed railway network that has been proposed by the Spanish Government under the program Strategic Planning of Infrastructure and Transport (see source [c]). Our approach looks for solutions that may be used as additional information in the decision-making process of any network expansion. We report on the application of this methodology to the Spanish railway network and on a computational experience based on simulated data varying the number of cities and time horizons which proves the efficiency of the proposed algorithm.
