Scholarlink

<p>Rapid urbanization in arid megacities like Riyadh makes it difficult for people to access urban green space (UGS), which is essential for making cities livable and keeping people healthy. This study analyses the specific equity of urban green space (UGS) distribution across age and gender demographics. The study used 2020 demographic data and high-resolution greenspace mapping, applied to a 1&#xa0;km² fishnet grid, using a special autocorrelation methodology. While the WorldPop demographic dataset retains its original 0.01&#xa0;km² (100&#xa0;m) resolution before aggregation, a 1&#xa0;km² fishnet grid was employed in this study for spatial analysis. Per capita green space availability was assessed against WHO standards, followed by bivariate LISA and Moran’s I to quantify spatial mismatch between demographic density and UGS. Results show central and northwestern districts i.e. Diriyah and Al Murabba containing large continuous patches (&gt; 338,190&#xa0;m²), while peripheral zones like Bawdah and Al Haeer consists of lesser UGS area (&lt; 20,919&#xa0;m²). Children are the most disadvantageous groups with particularly in central and southern Riyadh (e.g., Al Murabba, Al Aziziyah) falling in the vulnerable 0–9&#xa0;m² per capita category i.e. below the WHO guideline of 20&#xa0;m². Global bivariate Moran’s I (-0.0699, <i>p</i> = 0.001) and highly negative z-scores confirm a strong inverse spatial association between population concentration and UGS. Local LISA maps show High-Low clusters (high population, low green space) concentrated in inner, eastern, and southeastern zones, while Low-High clusters dominate peripheral areas, indicating underused resources. This suggests that space is not vacant and green resources are underutilized. To address these disparities, decentralized greening strategies such as pocket parks, green corridors, and neighbourhood-level interventions targeting child-dense and working districts are imperative to align urban planning with SDG 11, SDG 13, and SDG 3.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Assessing Spatial Inequities in Public Green Space Provision by Age and Gender in Riyadh Using Remote Sensing and Spatial Statistics

  • 期刊论文

  • 发表日期：

    2026年3月2日

查看全文
  • Javed Mallick,
  • Saeed Alqadhi,
  • Majed Alsubih,
  • Hoang Thi Hang

摘要

Rapid urbanization in arid megacities like Riyadh makes it difficult for people to access urban green space (UGS), which is essential for making cities livable and keeping people healthy. This study analyses the specific equity of urban green space (UGS) distribution across age and gender demographics. The study used 2020 demographic data and high-resolution greenspace mapping, applied to a 1 km² fishnet grid, using a special autocorrelation methodology. While the WorldPop demographic dataset retains its original 0.01 km² (100 m) resolution before aggregation, a 1 km² fishnet grid was employed in this study for spatial analysis. Per capita green space availability was assessed against WHO standards, followed by bivariate LISA and Moran’s I to quantify spatial mismatch between demographic density and UGS. Results show central and northwestern districts i.e. Diriyah and Al Murabba containing large continuous patches (> 338,190 m²), while peripheral zones like Bawdah and Al Haeer consists of lesser UGS area (< 20,919 m²). Children are the most disadvantageous groups with particularly in central and southern Riyadh (e.g., Al Murabba, Al Aziziyah) falling in the vulnerable 0–9 m² per capita category i.e. below the WHO guideline of 20 m². Global bivariate Moran’s I (-0.0699, p = 0.001) and highly negative z-scores confirm a strong inverse spatial association between population concentration and UGS. Local LISA maps show High-Low clusters (high population, low green space) concentrated in inner, eastern, and southeastern zones, while Low-High clusters dominate peripheral areas, indicating underused resources. This suggests that space is not vacant and green resources are underutilized. To address these disparities, decentralized greening strategies such as pocket parks, green corridors, and neighbourhood-level interventions targeting child-dense and working districts are imperative to align urban planning with SDG 11, SDG 13, and SDG 3.