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Topological Analysis of the Subway Network of Madrid

Authors:
Mary Luz Mouronte

Keywords: Network Science; Transport Network; Statistical Analysis

Abstract:
In this paper, we study by means of Complexity Science the topological structure of the subway network of Madrid. Different statistic features are analyzed: Degree of a Node i (Ki), Degree Probability Distribution (P(K)), Nearest Neighbour Degree (Knn(k)), Clustering Coefficient, Average Path Length (< l >), Mean Service Efficiency, Global Network Efficiency (Eglob), Correlation Coefficient (rD) and robustness of the network. This analysis will allow to obtain a deeper knowledge of this network and it will also help to improve its management: insight about connectivity, most relevant stops, efficiency, vulnerability and way of growth.

Pages: 9 to 13

Copyright: Copyright (c) IARIA, 2014

Publication date: June 22, 2014

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-346-9

Location: Seville, Spain

Dates: from June 22, 2014 to June 26, 2014