Articles producció científica> Economia

Metropolitan areas in the world. Delineation and population trends

  • Datos identificativos

    Identificador: imarina:6389838
    Handle: http://hdl.handle.net/20.500.11797/imarina6389838
  • Autores:

    Veneri P
    Schiavina M
    Moreno-Monroy AI
  • Otros:

    Autor según el artículo: Veneri P Schiavina M Moreno-Monroy AI
    Departamento: Economia
    Autor/es de la URV: MORENO MONROY, ANA ISABEL
    Resumen: © 2020 This paper presents a novel method to delineate metropolitan areas – or functional urban areas (FUAs) – in the entire world and assesses their population trends. According to the definition developed by the OECD and the European Union, FUAs are composed of high-density urban centres with at least 50 thousand people plus their surrounding commuting zones. The latter represent the urban centres’ areas of influence in terms of labour market flows. The proposed method combines a functional and a morphological approach to overcome the dependency on travel-to-work data to define commuting zones and allow a global delineation. It relies on a probabilistic approach and the use of population and travel impedance gridded data across the globe. Results show that around 3.9 billion people, making up 53% of the world population, live in 8,790 FUAs, out of which 17% live in their commuting zones. Between 2000 and 2015, population growth was higher in larger FUAs, highlighting a general trend toward higher concentration of the metropolitan population. Commuting zones grew faster than urban centres, though with heterogeneous patterns across world regions, income levels and metropolitan size.
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: anaisabel.moreno@urv.cat
    ISSN: 10959068
    Fecha de alta del registro: 2020-07-26
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.sciencedirect.com/science/article/pii/S0094119020300139
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.1016/j.jue.2020.103242
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2020
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Economics,Economics and Econometrics,Urban Studies
    10959068
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