主成分聚类法在安徽省区域物流规划中的应用  

Application of Principal Component Clustering in Regional Logistics Planning of Anhui Province

作　　者：段若男[1] 盛武[1] 王锟[1] 

机构地区：[1]安徽理工大学经济与管理学院,安徽淮南232001

出　　处：《安徽科技学院学报》2016年第5期79-84,共6页Journal of Anhui Science and Technology University

基　　金：安徽省高校省级自然科学研究重点项目(KJ2016A205);安徽理工大学博士启动基金

摘　　要：通过对区域物流规划发展水平的影响因素进行筛选,最终选取5个二级指标以及13个影响因素,构成了评价影响区域物流规划发展的水平的指标体系。以安徽省为例,以SPSS 19.0为软件处理平台,用主成分法对原来的指标体系降维处理,以此获得新的综合主成分指标和新的样本矩阵。再选用类平均法的聚类法对安徽省内的16个市区的域物流发展水平进行分类和综合评价。依据聚类谱系图以及区位坐标,可将安徽省划分为五大物流片区,进而从中选出东南片区的芜湖市、东北片区的蚌埠市、中部片区的合肥市、西南片区的安庆市、西北片区的阜阳市等五个物流枢纽城市。By screening the influencing factors on the development level of regional logistics planning, finally selected 5 level second class targets and 13 factors constitute the evaluation index system of regional logistics development planning level. Taking Anhui Province as an example, using SPSS 19.0 as the software platform, to reduce the dimensionality of the original index system by principal component in order to obtain the comprehensive principal components method, the new index and a new sample matrix. The classification and comprehensive evaluation method is used to select the cluster average method to the Anhui Province 16 city regional logistics development level. Based on the hierarchical clustering map and location coordinates, Anhui province can be divided into five major logistics area, and then select Wuhu City of the southeast area , Bengbu City of the northeast area , Hefei City of the central area, Anqing City of the southwest area, the Fuyang City of the northwest area, five logistics hub city.

关 键 词：主成分分析 区域物流 聚类分析 物流规划 

分 类 号：F252[经济管理—国民经济]