用智能算法评估埃及城市公共服务，发现覆盖不均问题
Smart Spatial Planning in Egypt: An Algorithm-Driven Approach to Public Service Evaluation in Qena City
- 基于沃罗诺伊图构建城市定制化规划算法
- 全市服务平均覆盖81.3%，公园仅10%且边缘区严重不足
- 适合城市规划者参考，可复制到其他埃及城市
埃及国家公共服务规划标准常忽视地方差异。本研究针对基纳市开发了定制化规划模型，采用描述性、分析性和实验性混合方法，利用Python编程构建基于沃罗诺伊图的智能空间分析算法，生成本地化规划标准并评估现有公共设施覆盖率。主要贡献在于成功建立本地化规划标准，并部署自动化算法评估服务效率。应用结果显示，全市服务平均覆盖率达81.3%；救护车站因近期升级效率最高（99.8%），而公园与开放空间覆盖率最低（10%），主因是土地资源有限。空间分析显示市中心服务密度超45处/km²，边缘区不足5处/km²。哈杰尔基纳区未覆盖面积最多，第一区（Qesm 1）覆盖率最高。该模型为埃及城市数据驱动规划提供了可复用框架。
原文摘要 · Abstract (English)
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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