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City composition and accessibility statistics in and around Paris.
Marie-Olive Thaury1, Simon Genet1, Léopold Maurice1
1ENSAE, Institut Polytechnique de Paris, Palaiseau, France.
Frontiers in Big Data
|March 18, 2024
Summary
The 15-minute city concept in Paris reveals significant inequalities, with the city center being more accessible than the periphery. Implementing this urban planning model requires addressing socio-economic disparities and considering the wider metropolitan area.
Area of Science:
- Urban Planning
- Geographic Information Systems (GIS)
- Socio-economic Geography
Background:
- The 15-minute city concept, aiming for accessible amenities within a short walk or bike ride, was a key policy in Paris.
- Previous assessments of the 15-minute city's feasibility in Paris, considering its urban structure, were lacking.
Purpose of the Study:
- To assess the suitability of the 15-minute city concept within Paris's existing urban fabric.
- To analyze the spatial distribution of essential amenities and their accessibility across different socio-economic areas of Paris.
Main Methods:
- Integration of open map data from a participatory project.
- Utilization of geo-localized socio-economic data from official statistics.
- Spatial analysis of amenity accessibility and urban structure.
Main Results:
- Paris exhibits internal inequalities, with a more accessible city center and a less-equipped periphery often housing lower-income populations.
- Accessibility and amenity distribution vary significantly, even within the relatively homogeneous city center.
- Including the surrounding "Petite Couronne" area reveals greater heterogeneity due to commuter populations.
Conclusions:
- Successful implementation of the X-minute city concept necessitates addressing pre-existing socio-economic inequalities.
- For large cities, the X-minute city model should extend beyond municipal boundaries to encompass the broader metropolitan region.
- Urban planning initiatives must consider the interplay between accessibility, amenity distribution, and socio-economic factors.
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