TY - JOUR
T1 - A multi-indicator distributive justice approach to assess school-related green infrastructure benefits in Brussels
AU - Gallez, Elsa
AU - Canters, Frank
AU - Gadeyne, Sylvie
AU - Baró, Francesc
N1 - Funding Information:
We are very thankful to Amy Phillips for proofreading our manuscript. This paper builds on the COOLSCHOOLS project ( www.coolschools.eu ; \u201CRealizing potentials of nature-based climate shelters in school environments for urban transformation\u201D) and has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No 101003758 via a subsidy from the Brussels Capital Region research and innovation agency Innoviris (ERA-NET Cofund URBAN TRANSFORMATION CAPACITIES call).
Funding Information:
We are very thankful to Amy Phillips for proofreading our manuscript. This paper builds on the COOLSCHOOLS project (www.coolschools.eu; \u201CRealizing potentials of nature-based climate shelters in school environments for urban transformation\u201D) and has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101003758 via a subsidy from the Brussels Capital Region research and innovation agency Innoviris (ERA-NET Cofund URBAN TRANSFORMATION CAPACITIES call).
Publisher Copyright:
© 2024 The Authors
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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.
KW - Children’s geographies
KW - Nature-based solutions
KW - Primary schools
KW - Geospatial analysis
KW - Urban resilience
KW - Climate change adaptation
UR - http://www.scopus.com/inward/record.url?scp=85208197582&partnerID=8YFLogxK
U2 - 10.1016/j.ecoser.2024.101677
DO - 10.1016/j.ecoser.2024.101677
M3 - Article
SN - 2212-0416
VL - 70
JO - Ecosystem Services
JF - Ecosystem Services
M1 - 101677
ER -