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Several Multiplexes in the Same City: The Role of Socioeconomic Differences in Urban Mobility

  • Laura Lotero
  • Alessio Cardillo
  • Rafael Hurtado
  • Jesús Gómez-GardeñesEmail author
Chapter
Part of the Understanding Complex Systems book series (UCS)

Abstract

In this work we analyze the architecture of real urban mobility networks from the multiplex perspective. In particular, based on empirical data about the mobility patterns in the cities of Bogotá and Medellín, each city is represented by six multiplex networks, each one representing the origin-destination trips performed by a subset of the population corresponding to a particular socioeconomic status. The nodes of each multiplex are the different urban locations whereas links represent the existence of a trip from one node (origin) to another (destination). On the other hand, the different layers of each multiplex correspond to the different existing transportation modes. By exploiting the characterization of multiplex transportation networks combining different transportation modes, we aim at characterizing the mobility patterns of each subset of the population. Our results show that the socioeconomic characteristics of the population have an extraordinary impact in the layer organization of these multiplex systems.

Keywords

Cluster Coefficient Mobility Pattern Average Path Length Transportation Mode Subset Versus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We acknowledge financial support from the European Commission through FET IP projects MULTIPLEX (Grant No. 317532) and PLEXMATH (Grant No. 317614), from the Spanish MINECO under projects FIS2011-25167 and FIS2012-38266-C02-01, from the Departamento de Industria e Innovación del Gobierno de Aragón and Fondo Social Europeo (Grupo FENOL), and from the Universidad Nacional de Colombia under grants HERMES 19010 and HERMES 16007. JGG is supported by the Spanish MINECO through the Ramón y Cajal program. AC acknowledge the financial support of SNSF through the project CRSII2_147609. We thank Area Metropolitana del Valle de Aburrá, in Medellín, and Secretaría Distrital de Movilidad, in Bogotá, for the Origin-Destination Surveys Datasets.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Laura Lotero
    • 1
  • Alessio Cardillo
    • 2
    • 3
  • Rafael Hurtado
    • 4
  • Jesús Gómez-Gardeñes
    • 3
    • 5
    Email author
  1. 1.Departamento de Ciencias de la Computación y de la DecisiónMedellínColombia
  2. 2.Laboratoire de Biophysique StatistiqueÉcole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
  3. 3.Instituto de Biocomputación y Física de Sistemas ComplejosUniversidad de ZaragozaZaragozaSpain
  4. 4.Departamento de FísicaUniversidad Nacional de ColombiaBogotáColombia
  5. 5.Departamento de Física de la Materia CondensadaUniversidad de ZaragozaZaragozaSpain

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