基于核函数聚类的重庆市图书馆均等配置及优化

Equal Optimal Allocation of Chongqing Library Based on Kernel Function Clustering

以重庆市图书馆为例,从居民视角出发,应用公共设施区位理论,提出了核函数聚类法,优化图书馆空间配置。引入多种优化模型,与核函数聚类法进行了对比分析,以期最大程度地优化重庆市图书馆的空间配置。结果表明:用不同方法进行图书馆空间配置优化,核函数聚类法覆盖的总人口数最多,受距离影响较小,优化的空间配置更均等;P-中心模型受空间分布影响较大;P-中位模型易受距离影响;MCLP模型较适合中距离优化的选择。模型间交通可达性的差异并不明显,可用于优化决策提供参考辅助。该核函数聚类法可为公共服务设施空间布局的均等优化或规划提供理论依据。

Taking Chongqing Library as an example,this paper applies the location theory of public facilities from the perspective of residents and proposes a kernel function clustering method to optimize the spatial allocation of libraries.To optimize the spatial allocation of Chongqing Library to the greatest extent,a variety of optimization models are introduced and compared with the kernel function clustering method.The results show that the kernel function clustering method covers the largest total population,which is less affected by distance,and the optimized spatial configuration is more equal.The P-center model is greatly affected by spatial distribution.The P-median model is susceptible to distance;MCLP model is more suitable for the selection of medium distance optimization.The difference of traffic accessibility between models is not obvious,which can be used to provide a reference for optimization decision-making.The kernel function clustering method proposed in this paper can provide a theoretical basis for the equal optimization or planning of the spatial layout of public service facilities.