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Social Mobility Patterns in the World's Populated Cities Through COVID-19

Author

Listed:
  • Ana Lorena Jiménez-Preciado

    (Instituto Politécnico Nacional, Mexico)

  • Nora Gavira-Durán

    (Universidad de las Américas Puebla, México)

Abstract

El objetivo de la presente investigación es identificar patrones de movilidad social en las ciudades más pobladas a nivel mundial a partir del confinamiento y las medidas de distanciamiento para contrarrestar los efectos del COVID-19. Se utilizan diagramas ternarios para examinar simultáneamente el desplazamiento hacia distintos lugares (bienes, servicios, parques, lugares de trabajo, residencia y tránsito), específicamente, se utilizan diagramas de tipo crosshair y de densidad mediante un Kernel Gaussiano. De manera general, la reducción de movilidad fue entre 40% y 60% en las ciudades seleccionadas, se registran algunos casos con mayor tránsito, pero no hacia los lugares de trabajo o a residencia, por lo que la reincorporación laboral para algunas ciudades se puede estar dando en el mercado informal. La principal limitación se encuentra en el escalamiento de los datos puesto que las cifras de movilidad representan porcentajes negativos. La aportación principal y originalidad del trabajo reside en el uso de los diagramas ternarios, permitiendo identificar patrones de movilidad social en las grandes ciudades y entender la forma en cómo ha cambiado el desplazamiento a partir del COVID-19.

Suggested Citation

  • Ana Lorena Jiménez-Preciado & Nora Gavira-Durán, 2021. "Social Mobility Patterns in the World's Populated Cities Through COVID-19," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-15, Julio - S.
    • Handle: RePEc:imx:journl:v:16:y:2021:i:3:a:13
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    References listed on IDEAS

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    1. Lixing Chen & Xueliang Huang & Hong Zhang, 2020. "Modeling the Charging Behaviors for Electric Vehicles Based on Ternary Symmetric Kernel Density Estimation," Energies, MDPI, vol. 13(7), pages 1-17, March.
    2. Sterling J. Nesbitt & Richard J. Butler & Martín D. Ezcurra & Paul M. Barrett & Michelle R. Stocker & Kenneth D. Angielczyk & Roger M. H. Smith & Christian A. Sidor & Grzegorz Niedźwiedzki & Andrey G., 2017. "The earliest bird-line archosaurs and the assembly of the dinosaur body plan," Nature, Nature, vol. 544(7651), pages 484-487, April.
    3. Serina Chang & Emma Pierson & Pang Wei Koh & Jaline Gerardin & Beth Redbird & David Grusky & Jure Leskovec, 2021. "Mobility network models of COVID-19 explain inequities and inform reopening," Nature, Nature, vol. 589(7840), pages 82-87, January.
    4. Borkowski, Przemysław & Jażdżewska-Gutta, Magdalena & Szmelter-Jarosz, Agnieszka, 2021. "Lockdowned: Everyday mobility changes in response to COVID-19," Journal of Transport Geography, Elsevier, vol. 90(C).
    5. Frank Schlosser & Benjamin F. Maier & Olivia Jack & David Hinrichs & Adrian Zachariae & Dirk Brockmann, 2020. "COVID-19 lockdown induces disease-mitigating structural changes in mobility networks," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(52), pages 32883-32890, December.
    6. Beata Nowok, 2020. "A visual tool to explore the composition of international migration flows in the EU countries, 1998–2015," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(27), pages 763-776.
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    More about this item

    Keywords

    COVID-19; mobility; ternary diagrams; populated cities;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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