Abstract
A transportation service must be sustainable, respectful of the environment, and socially and economically responsible. These requirements make metro networks the ideal candidate as the most efficient mean of transport in our society. Now, a correct management of this type of infrastructures entails the analysis of the structure and robustness of these networks. This allows us to detect malfunctions and, above all, to design in the most appropriate way the expansion of subway networks. This is one of the major challenges facing the study of transport networks in sustainable smart cities. In this sense, the complex network analysis provides us with the necessary scientific tools to perform both quantitative and qualitative analysis of metro networks. This work deals with Madrid metro network, which is the largest in Spain. The main structural and topological characteristics, and robustness features of Madrid metro network were studied. The results obtained were analyzed and some conclusions were derived.
Highlights
One of the central pillars on which sustainability is based is the design and implementation of procedures that allow us to manage in an efficient way the public resources, services and infrastructures
As these infrastructures can be mathematically modeled in terms of graphs, the complex network analysis plays a very important role in their study
Depending on the role played by the associated station, every node of the network can be classified into three classes: monotonic nodes, transfer nodes and termini nodes
Summary
One of the central pillars on which sustainability is based is the design and implementation of procedures that allow us to manage in an efficient way the public resources, services and infrastructures. One of the major concerns is the efficient management of such transportation networks As these infrastructures can be mathematically modeled in terms of graphs, the complex network analysis plays a very important role in their study. The knowledge about the structural properties and robustness characteristics of such transport networks play a fundamental role in the optimization of resources (both, material and economic) for its efficient maintenance. In this way, it is necessary to identify the stations and links of major structural importance within the whole network and whose malfunction modifies its robustness.
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