Understanding the interplay between urban segregation and accessibility to services with network analysis

The 15-minute city concept has gained momentum as an urban planning strategy to enhance livability, inclusiveness, and sustainability by ensuring that essential services are within a short walk or bike ride from home. However, while hyper-proximity is often promoted as desirable, its potential side effects on spatial segregation and social exclusion remain underexplored. In this paper, we propose a network-based analytical framework to investigate whether hyper-proximity models - such as the 15-minute city - may inadvertently reinforce spatial segregation by shaping service accessibility and urban transport connectivity. We model cities as complex spatial networks, quantify accessibility using the distribution of relevant Points of Interest (PoIs) and employ closeness centrality as a proxy for connectivity across multiple scales, from residential addresses to network-derived clusters and entire cities. Our results show that areas with better access to services generally exhibit higher connectivity and vice versa. However, this tendency is uneven when looking at socio-demographic factors. Some neighborhoods, particularly lower-income ones, experience both lower accessibility and weaker connectivity. In contrast, certain higher-income neighborhoods display low accessibility and limited connectivity, suggesting patterns of voluntary isolation. These findings indicate that hyper-proximity alone does not guarantee inclusiveness and may mask underlying socio-economic inequalities.

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Journal
PLoS ONE
Published
2026-04-01
DOI
https://doi.org/10.1371/journal.pone.0342156
Primary Topic
Urban Transport and Accessibility
Type
article
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article

Understanding the interplay between urban segregation and accessibility to services with network analysis

Giancarlo Ruffo, Mirko Lai, Massimo Canonico, Federica Cena et al.
PLoS ONE
Urban Transport and Accessibility
article

Understanding the interplay between urban segregation and accessibility to services with network analysis

Giancarlo Ruffo, Mirko Lai, Massimo Canonico, Federica Cena, Salvatore Vilella, Anna Sapienza
article en

Abstract

The 15-minute city concept has gained momentum as an urban planning strategy to enhance livability, inclusiveness, and sustainability by ensuring that essential services are within a short walk or bike ride from home. However, while hyper-proximity is often promoted as desirable, its potential side effects on spatial segregation and social exclusion remain underexplored. In this paper, we propose a network-based analytical framework to investigate whether hyper-proximity models - such as the 15-minute city - may inadvertently reinforce spatial segregation by shaping service accessibility and urban transport connectivity. We model cities as complex spatial networks, quantify accessibility using the distribution of relevant Points of Interest (PoIs) and employ closeness centrality as a proxy for connectivity across multiple scales, from residential addresses to network-derived clusters and entire cities. Our results show that areas with better access to services generally exhibit higher connectivity and vice versa. However, this tendency is uneven when looking at socio-demographic factors. Some neighborhoods, particularly lower-income ones, experience both lower accessibility and weaker connectivity. In contrast, certain higher-income neighborhoods display low accessibility and limited connectivity, suggesting patterns of voluntary isolation. These findings indicate that hyper-proximity alone does not guarantee inclusiveness and may mask underlying socio-economic inequalities.

PLoS ONEVol. 21(4)
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), University of Turin (IT)
Reduced inequalities
Openalex Percentile: Top 37%
Urban Transport and Accessibility
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Understanding the interplay between urban segregation and accessibility to services with network analysis — Giancarlo Ruffo, Mirko Lai, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS