Smart Spatial Planning in Egypt: An Algorithm-Driven Approach to Public Service Evaluation in Qena City

• URL: http://arxiv.org/abs/2512.06431v1
• Date: Sat, 06 Dec 2025 13:36:57 GMT
• Title: Smart Spatial Planning in Egypt: An Algorithm-Driven Approach to Public Service Evaluation in Qena City
• Authors: Mohamed Shamroukh, Mohamed Alkhuzamy Aziz,
• Abstract summary: This study develops a tailored planning model for Qena City.<n>Ambulance stations demonstrated the highest efficiency (99.8%) due to recent upgrades.<n>Parks and open spaces recorded the lowest coverage (10%) caused by limited land availability.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: National planning standards for public services in Egypt often fail to align with unique local characteristics. Addressing this gap, this study develops a tailored planning model for Qena City. Using a hybrid methodology (descriptive, analytical, and experimental), the research utilizes Python programming to generate an intelligent spatial analysis algorithm based on Voronoi Diagrams. This approach creates city-specific planning criteria and evaluates the current coverage of public facilities. The primary contribution of this study is the successful derivation of a localized planning standards model and the deployment of an automated algorithm to assess service efficiency. Application of this model reveals a general service coverage average of 81.3%. Ambulance stations demonstrated the highest efficiency (99.8%) due to recent upgrades, while parks and open spaces recorded the lowest coverage (10%) caused by limited land availability. Spatial analysis indicates a high service density in midtown (>45 services/km^2), which diminishes significantly towards the outskirts (<5 services/km^2). Consequently, the Hajer Qena district contains the highest volume of unserved areas, while the First District (Qesm 1) exhibits the highest level of service coverage. This model offers a replicable framework for data-driven urban planning in Egyptian cities.

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