NONE 20260625125317499 wseas/wseas content-registration-form@crossref.org content-registration-form EARTH SCIENCES AND HUMAN CONSTRUCTIONS 2944-9154 2944-9006 Olisa Chiamaka Lovelyn Admiralty University of Nigeria Ibusa Delta State NIGERIA Nigeria’s rapid urbanization is changing the quantity, quality, and spatial distribution of urban blue-green spaces (UBGS), which comprises water bodies and vegetated areas. These changes have implications for ecosystem services, urban resilience, and human well-being. This study presents a rigorous, spatially explicit framework to investigate how population pressure produces heterogeneous patterns of urban blue-green spaces availability in Akure. The assumption of spatial stationarity and homogeneity rarely holds in urban socio-ecological systems, where processes operate differently across neighbourhoods, necessitating locally adaptive modelling approaches such as Geographically Weighted Regression (GWR). GWR explicitly models spatial non-stationarity and is appropriate for examining how drivers such as population density relate locally to Urban blue-green space (UBGS) metrics. The GWR method was used to study the impacts of population density interactions on UBGS across the nine political wards in the study area. The Normalized Difference Vegetation Index (NDVI) spectral index was used to analyze vegetation distribution using Landsat OLI 2024 imagery. Using a combination of remote sensing and GIS analysis, field surveys, and demographic and planning data, the study analysed the spatial dynamics of urban blue-green space distribution in relation to population density. Using standard GWR with adaptive bi-square kernel and AICc bandwidth selection, applied across nine administrative wards, the model explains 26.9% of the spatial variance in UBGS distribution (R² = 0.269). Local population coefficients range from approximately 61 to 110 across wards, confirming spatially heterogeneous ecological stress. The GWR results confirm that the relationship between population density pressure and urban blue-green space in Akure is spatially heterogeneous, with pronounced hotspots of ecological stress in the inner-city transition zones and rapidly urbanising wards, emphasizing the need for neighbourhood-based solutions tailored towards the peculiarity of ecological stress, which varies spatially across a city, and the mainstreaming of blue-green infrastructure into urban expansion corridors. These findings align with the SDG 11 (Sustainable Cities) and SDG 15 (Life on Land) policy frameworks, and suggest that Akure’s UBGS trajectory reflects broader patterns of rapid ecological depletion in informally urbanizing Sub-Saharan African cities. 06 25 2026 06 25 2026 1 1 https://creativecommons.org/licenses/by/4.0/deed.en_US 10.37394/232024.2026.6.1 https://wseas.com/journals/eshc/2026/a02eshc-001(2026).pdf UN Habitat. (2023). Financing sustainable urbanization: Counting the costs and closing the gap. United Nations Human Settlements Programme. https://unhabitat.org/financingsustainable- urbanization-counting-the-costsand- closing-the-gap World Health Organization. (2020). Urban green space interventions and health: A review of impacts and effectiveness. WHO Regional Office for Europe. https://www.who.int/europe/publicatio ns/m/item/urban-green-space-interventions and-health--a-review-of- impacts-andeffectiveness UN Habitat. (2025). Global urban trends and Sustainable Development Goal 11: Sustainable cities and communities. Swedish International Development Cooperation Agency (2016). Urban Development, Biodiversity and Ecosystems, SIDA, Stockholm. Husqvarna Group. (2024). Urban Green Space Report 2024. Husqvarna Group. https://www.husqvarnagroup.com/en/press/new -satellite-data-showing-urban-green-spacescontinue-decline-across-world-2279198 Wolman, M. G. (1964). Problems posed by sediment derived from construction activities in Maryland (Report No. 125). Maryland Water Pollution Control Commission. Kennedy, R. E., Cohen, W. B., & Schroeder, T. A. (2007). Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sensing of Environment,110(3), 370–386. https://doi.org/10.1016/j.rse.2007.03.010 Forman, R.T.T. (1995). Land Mosaics: The Ecology of Landscapes and Regions. Cambridge University Press. Schlosberg, D. (2007). Defining environmental justice: Theories, movements, and nature. Oxford University Press.https://doi.org/10.1093/acprof:oso/97801 99286294.001.0001 Chiamaka Lovelyn Olisa, Michael Ajide Oyinloye, Ayo Emmanuel Olajuyigbe, Samuel Olumide Akande, Babatope Sunday Olisa, (2023). "Changing Patterns of Urban Green Spaces in Akure, Nigeria," WSEAS Transactions on International Journal of Environmental Engineering and Development, vol. 1, pp. 157-174, DOI:10.37394/232033.2023.1.18 Saidur, Selim, Md Senaul, Ruishan, & Pankaj, & Pankaj, K. (2020). Spatio-temporal changes of green spaces and their impact on the urban environment of Mumbai, India. Springer Nature, Environment Development and Sustainability 23(12). WHO. (2022). “Urban nature, green spaces and health”. Webinar. Retrieved from https://ufmsecretariat.org/form-ufm-whowebinar-on-urban-nature-green-space-andhealth/ World Bank. (2024). Financing climate resilient and inclusive cities in Africa. World Bank. Fotheringham, A.S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. Zhou, Y., et al. (2025). Multiscale GWR assessment of green space exposure in highdensity cities Urban Climate. Jessica LaReaux &, David Watkins (2025). Geospatial analysis for promoting urban green space equity: Case study of Detroit, Michigan, USA Wang, H., et al. (2024). Blue-green infrastructure and urban temperature regimes: A GWR approach. Habitat International Li, J., & Chen, S. (2023). Driving factors of urban greenness: A GWR perspective. Land Use Policy Kim, S., & Nicholls, S. (2016). Green access equity: A GWR application. Journal of Leisure Research World Health Organization. (2016). Urban green spaces and health: A review of evidence. WHO Regional Office for Europe.https://www.who.int/europe/publication s/i/item/WHO-EURO-2016-3352-43111-60341