<p>Rapid urbanization and climate change intensified stormwater management challenges in urban areas, highlighting the need for sustainable alternatives like Integrated Green and Grey Infrastructure (IGGI). This study assessed IGGI’s spatial suitability in Addis Ababa, Ethiopia, using a GIS-based Multi-Criteria Decision Analysis (MCDA) framework combining the Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP). Twelve attributes across hydrological, topographical, socio-spatial, and accessibility domains were analyzed. Results showed that ANP model identified 59.86% of the city as suitable and 33.82% as potentially suitable for IGGI, while AHP marked 42.24% as suitable and 52.2% as potentially suitable, indicating a more conservative approach. Less than 7% of the area was non-suitable in both models. Spatial analysis indicated highly suitable zones were near roads and rivers, with moderate slopes, well-drained soils, and low population densities—emphasizing the role of topography and accessibility. Validation revealed ANP’s superior performance with an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.92 and Root Mean Square Error (RMSE) of 0.12, compared to AHP’s AUC of 0.87 and RMSE of 0.16. These findings demonstrate ANP’s enhanced spatial accuracy due to inter-attribute relationships. The study highlights the complementary strengths of AHP and ANP, offering a robust approach to urban infrastructure suitability analysis. It emphasizes IGGI’s potential to boost urban resilience and promote sustainability, contributing to Sustainable Development Goals (SDGs) 6, 11, and 13. Future research should include economic factors—such as land acquisition, construction and maintenance costs—and community acceptance to refine IGGI implementation frameworks.</p>

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Assessing green and grey infrastructure suitability in Addis Ababa, Ethiopia using GIS-Based multi-criteria analysis

  • Bilal Kemal,
  • Dereje Hailu,
  • Daneal Fekersillassie,
  • Solomon Seyoum,
  • Geremew Sahilu

摘要

Rapid urbanization and climate change intensified stormwater management challenges in urban areas, highlighting the need for sustainable alternatives like Integrated Green and Grey Infrastructure (IGGI). This study assessed IGGI’s spatial suitability in Addis Ababa, Ethiopia, using a GIS-based Multi-Criteria Decision Analysis (MCDA) framework combining the Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP). Twelve attributes across hydrological, topographical, socio-spatial, and accessibility domains were analyzed. Results showed that ANP model identified 59.86% of the city as suitable and 33.82% as potentially suitable for IGGI, while AHP marked 42.24% as suitable and 52.2% as potentially suitable, indicating a more conservative approach. Less than 7% of the area was non-suitable in both models. Spatial analysis indicated highly suitable zones were near roads and rivers, with moderate slopes, well-drained soils, and low population densities—emphasizing the role of topography and accessibility. Validation revealed ANP’s superior performance with an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.92 and Root Mean Square Error (RMSE) of 0.12, compared to AHP’s AUC of 0.87 and RMSE of 0.16. These findings demonstrate ANP’s enhanced spatial accuracy due to inter-attribute relationships. The study highlights the complementary strengths of AHP and ANP, offering a robust approach to urban infrastructure suitability analysis. It emphasizes IGGI’s potential to boost urban resilience and promote sustainability, contributing to Sustainable Development Goals (SDGs) 6, 11, and 13. Future research should include economic factors—such as land acquisition, construction and maintenance costs—and community acceptance to refine IGGI implementation frameworks.