Land · 2024 · 11 citations · 67 references
Social SciencesUrban PlanningUrban StudiesEnvironmental JusticeSpatial AnalysisSpatial StatisticsGreen SpaceUrban Environmental GeographyUrban Environmental IssuesUrban Environmental JusticeUrban Park DesignUrban Tree CanopyGreen Space AllocationGreen Space DistributionGreen Space InequityGreen Space QualityParks AllocationUrban JusticeUrban Park PlanningUrban Tree Canopy Cover
Access and exposure to urban green space—the combination of parks and vegetative cover in cities—are associated with various health benefits. As urban green space is often unequally distributed throughout cities, understanding how it is allocated across socio-demographic populations can help city planners and policy makers identify and address urban environmental justice and health equity issues. To our knowledge, no studies have yet combined assessments of park quality, park availability, and green cover to inform equitable urban green space planning. To this end, we developed a comprehensive methodology to identify urban green space inequities at the city scale and applied it in Portland, OR, USA. After auditing all public parks in Portland and gathering green cover data from publicly accessible repositories, we used a suite of statistical tests to evaluate distribution of parks and green cover across Census block groups, comprising race, ethnicity, income, and educational attainment characteristics. Right-of-way tree canopy cover was the most significant urban green space inequity identified in bivariate analysis (rs = −0.73). Spatial autoregressive models identified that right-of-way, private, and overall tree canopy cover (Nagelkerke pseudo-R2 = 0.66, 0.77, and 0.67, respectively) significantly decreased with the proportion of minoritized racial population and increased with median income. The results were then used to identify priority locations for specific urban green space investments. This research establishes a process to assess intra-urban green space inequities, as well as identify data-informed and spatially explicit planning priorities to promote health equity and environmental justice.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Simple Features for R: Standardized Support for Spatial Vector Data
Edzer Pebesma · The R Journal · 2018 · 4.6K citations · Full text
Descriptive statistics and normality tests for statistical data
Anshul Gupta, Prabhakar Mishra, Uttam Singh et al. · Annals of Cardiac Anaesthesia · 2019 · 2.5K citations · Full text
Natural Sciences, Mathematics, Categorical Data Analysis +15