Water (Aug 2023)

Enhancing Sustainable Urban Planning through GIS and Multiple-Criteria Decision Analysis: A Case Study of Green Space Infrastructure in Taif Province, Saudi Arabia

  • Sahl Abdullah Waheeb,
  • Bilel Zerouali,
  • Ahmed Elbeltagi,
  • Mamdooh Alwetaishi,
  • Yong Jie Wong,
  • Nadjem Bailek,
  • Ahmad Ameen AlSaggaf,
  • Sahar I. M. Abd Elrahman,
  • Celso Augusto Guimarães Santos,
  • Abdulrahman Abdulaziz Majrashi

DOI
https://doi.org/10.3390/w15173031
Journal volume & issue
Vol. 15, no. 17
p. 3031

Abstract

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Ecotourism in Saudi Arabia (KSA) is gaining significant attention due to the country’s diverse natural landscapes, rich biodiversity, and efforts to preserve and display its environmental treasures. This study presents a comprehensive assessment of urban green space (UGS) suitability in the Taif region of Saudi Arabia using a geographic information system (GIS) combined with a multiple-criteria decision-analysis-based analytic hierarchy process (AHP). The integration of various morphologic, topographic, climatic, and land use/land change (LULC) maps provided a robust framework for evaluating the suitability of UGSs. In the framework of this study, ten criteria were used to elaborate on UGS suitability. The results indicate that distance to water, distance to road, rainfall, and LULC were the most influential criteria in determining UGS suitability. Distance to road emerged as the most significant criterion, emphasizing the importance of accessibility and visibility for attracting the public to green spaces. The Taif region demonstrated fair suitability for UGS development across 56.4% of its total area. However, large areas of barren land in the central and northeastern parts were rendered unsuitable for UGS development, while the southwestern part showed higher percentages of good and excellent suitability. This study highlights the importance of considering the visibility and awareness aspects of UGS planning, as it serves as a visual reminder of the value of nature in urban settings. The results obtained by this research may help managers and decision makers with future planning for GI areas in the Taif region.

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