A multilayer perspective for the analysis of urban transportation systems

Aleta, Alberto (Universidad de Zaragoza) ; Meloni, Sandro (Universidad de Zaragoza) ; Moreno, Yamir (Universidad de Zaragoza)
A multilayer perspective for the analysis of urban transportation systems
Financiación FP7 / Fp7 Funds
Resumen: Public urban mobility systems are composed by several transportation modes connected together. Most studies in urban mobility and planning often ignore the multi-layer nature of transportation systems considering only aggregated versions of this complex scenario. In this work we present a model for the representation of the transportation system of an entire city as a multiplex network. Using two different perspectives, one in which each line is a layer and one in which lines of the same transportation mode are grouped together, we study the interconnected structure of 9 different cities in Europe raging from small towns to mega-cities like London and Berlin highlighting their vulnerabilities and possible improvements. Finally, for the city of Zaragoza in Spain, we also consider data about service schedule and waiting times, which allow us to create a simple yet realistic model for urban mobility able to reproduce real-world facts and to test for network improvements.
Idioma: Inglés
DOI: 10.1038/srep44359
Año: 2017
Publicado en: Scientific reports 7 (2017), 44359 [9 pp.]
ISSN: 2045-2322

Factor impacto JCR: 4.122 (2017)
Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 12 / 64 = 0.188 (2017) - Q1 - T1
Factor impacto SCIMAGO: 1.533 - Multidisciplinary (Q1)

Financiación: info:eu-repo/grantAgreement/EC/FP7/317532/EU/Foundational Research on MULTIlevel comPLEX networks and systems/MULTIPLEX
Financiación: info:eu-repo/grantAgreement/ES/MINECO/FIS2014-55867-P
Tipo y forma: Article (Published version)
Área (Departamento): Área Física Teórica (Dpto. Física Teórica)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


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 Record created 2017-05-04, last modified 2019-07-09


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