2026-05-12T15:24:23Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/72352023-01-14T01:05:15Zcom_10259_3847com_10259_5086com_10259_2604col_10259_3848

Mariñas Collado, Irene Frutos Bernal, Elisa Santos Martín, María Teresa Martín del Rey, Ángel Casado Vara, Roberto Gil González, Ana Belén Complex network analysis Centrality measures Network robustness Rideship patterns Clustering analysis Passenger flow Barcelona underground 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. 2023-01-13 2023-01-13 2021-02 info:eu-repo/semantics/article http://hdl.handle.net/10259/7235 10.3390/electronics10050557 2079-9292 eng Electronics. 2021, V. 10, n. 5, e557 https://doi.org/10.3390/electronics10050557 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Atribución 4.0 Internacional MDPI