基于货车GPS点聚类分析的货运枢纽选址

Location of freight hub based on cluster analysis of GPS points of freight cars

文章根据货车GPS点分布情况,通过聚类分析手段,基于覆盖GPS点最多、聚类中心最少的经济效益原则建立货车GPS点聚类数量收敛模型,可初步判断适宜建设货运枢纽的位置,为货运枢纽的科学合理布局提供了一种基于大数据的理论方法。以广东省肇庆市为例,得出了初步的货运枢纽位置,结果与现行规划及政策符合,验证了模型的合理性与可靠性。

According to the distribution of GPS points of freight cars,this paper establishes a convergence model of cluster number of GPS points of freight cars by means of cluster analysis and based on the economic benefit principle of covering the most GPS points and least cluster centers,which can preliminarily judge the suitable position for building freight hubs and provide a theoretical method based on big data for the scientific and rational layout of freight hubs.Taking Zhaoqing City,Guangdong Province as an example,the preliminary location of freight hub is obtained,and the results are consistent with the current planning and policies,which verifies the rationality and reliability of the model.