A multi-indicator distributive justice approach to assess school-related green infrastructure benefits in Brussels

Our analysis on the spatial distribution of schools’ outdoor environmental quality using indicators related to green infrastructure elements, regulating ecosystem services, environmental hazards, and socio-economic background for nearly all primary school settings (n = 408) located in the Brussels Capital Region, just got published in the Ecosystem Services journal !

Elsa Gallez, Frank Canters, Sylvie Gadeyne and Francesc Baró (2024). A multi-indicator distributive justice approach to assess school-related green infrastructure benefits in Brussels. Ecosystem Services, 70, 101677.

Available here in Open Access: https://www.sciencedirect.com/science/article/pii/S2212041624000846  

Highlights

• Children in Brussels face school-related socio-environmental inequities.

• 47% of Brussels schoolyards are characterized by less than 30% vegetation cover.

• Schools on the outskirts of Brussels benefit from higher levels of regulating ecosystem services.

• Children from wealthier families benefit from greener and healthier school settings.

• School greening initiatives should prioritize schools with underprivileged children.

Abstract

Environmental justice considerations in ecosystem service research have increased in recent years, especially in urban assessments. Many studies have focused on the unequal distribution of urban green infrastructure and related ecosystem services from a residential perspective. However, for certain population groups, such as children, considering other frequently visited urban settings (e.g. school environments) is also essential to assess distributive environmental justice. While there is an increasing number of studies measuring children’s access and exposure to green infrastructure in school environments, most of these assessments rely on coarse metrics of greenness (e.g. NDVI). In this research, we propose a multi-indicator distributive justice approach to assess schools’ outdoor environmental quality. More specifically, our study examines the spatial distribution of nine school-related socio-environmental indicators, including green infrastructure elements (n = 3), regulating ecosystem services (n = 2), environmental hazards (n = 2), and socio-economic background (n = 2) for nearly all primary school settings (n = 408) located in the Brussels Capital Region, Belgium. Bivariate and spatial regression analyses show that schoolchildren from wealthier families usually attend schools with greener and better outdoor environmental quality, generally characterized by more vegetation in and around the school settings, higher levels of regulating ecosystem services provision, and lower exposure to environmental hazards. We argue that addressing these multi-faceted environmental disparities should be prioritized when planning new school greening initiatives.

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