2026-09-14T12:43:43Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1611302025-07-31T07:33:49Zcom_10366_4074com_10366_4055com_10366_3946com_10366_3823col_10366_4075

Mariñas del Collado, Irene Frutos Bernal, Elisa Santos Martín, María Teresa Martín del Rey, Ángel María Casado-Vara, Roberto Gil González, Ana Belén 2021-02-27 [EN]The knowledge of the topological structure and the automatic fare collection systems in urban public transport produce many data that need to be adequately analyzed, processed and presented. These data provide a powerful tool to improve the quality of transport services and plan ahead. This paper aims at studying, from a mathematical and statistical point of view, the Barcelona metro network; specifically: (1) the structural and robustness characteristics of the transportation network are computed and analyzed considering the complex network analysis; and (2) the common characteristics of the different subway stations of Barcelona, based on the passenger hourly entries, are identified through hierarchical clustering analysis. These results will be of great help in planning and restructuring transport to cope with the new social conditions, after the pandemic. http://hdl.handle.net/10366/161130 eng MDPI A Mathematical Study of Barcelona Metro Network info:eu-repo/semantics/article TEXT Gredos. Repositorio Documental de la Universidad de Salamanca Hispana