Frontiers in Big Data (Mar 2024)

City composition and accessibility statistics in and around Paris

  • Marie-Olive Thaury,
  • Simon Genet,
  • Léopold Maurice,
  • Paola Tubaro,
  • Sarah J. Berkemer,
  • Sarah J. Berkemer

DOI
https://doi.org/10.3389/fdata.2024.1354007
Journal volume & issue
Vol. 7

Abstract

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IntroductionIs Paris a 15-min city, where inhabitants can access essential amenities such as schools and shops with a 15-min walk or bike ride? The concept of a 15-min (more generally, X-minute) city was launched in the French capital and was part of the current mayor's plan in her latest re-election campaign. Yet, its fit with the existing urban structure had not been previously assessed.MethodsThis article combines open map data from a large participatory project and geo-localized socio-economic data from official statistics to fill this gap.ResultsWe show that, while the city of Paris is rather homogeneous, it is nonetheless characterized by remarkable inequalities between a highly accessible city center (though with some internal differences in terms of types of amenities) and a less well-equipped periphery, where lower-income neighborhoods are more often found. The heterogeneity increases if we consider Paris together with its immediate surroundings, the "Petite Couronne," where large numbers of daily commuters and other users of city facilities live.DiscussionWe thus conclude that successful implementation of the X-minute-city concept requires addressing existing socio-economic inequalities, and that especially in big cities, it should be extended beyond the narrow boundaries of the municipality itself to encompass the larger area around it.

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