Uncovering income and racial spatial inequalities and segregation patterns with a potential accessibility network index

Revelando desigualdades espaciais de renda e raciais e padrões de segregação com um indicador configuracional de acessibilidade potencial.

Abstract

Urban segregation has been a central challenge in the pursuit of equity and sustainability, especially in Latin American cities. The existing body of research on segregation, however, has predominantly focused on cities in the United States and Europe. Most existing metrics on segregation do not usually explicitly address the spatial dimension and diversity of cities’ spatial structures. As a result, there is still a gap in the methods to properly capture the spatial relationships implied in segregation. This paper proposes and applies a network-based method for assessing the inequalities in access to opportunities for different social groups (income and race), and the patterns of socio-spatial segregation based on urban accessibility levels. We apply the method to the city of Pelotas, Brazil, combining the street network configuration with population densities and spatial distribution of urban opportunities. Results revealed that high-income white groups dominate the accessibility levels, benefiting from a concentration of opportunities in the central district, while low-income non-white groups experience poorer accessibility. The method allowed to uncover a center-periphery segregation pattern, although more complex and spatially diversified, providing valuable insights that can inform urban planning and policy-making efforts at the intraurban scale.

Keywords:
Socio-spatial segregation; Spatial inequalities; Potential accessibility; Urban networks