摘要
为了得到交通物流节点枢纽城市宏观布局方案,进而为不同区域交通物流节点规划提供科学决策和目标管理的依据。提出可以将多元统计中的因子分析与聚类分析综合运用。首先对原始数据进行标准化处理,再对经过标准化处理的数据做因子分析,求得因子得分;然后以因子得分作为输入变量,利用离差平方和法(WardgMethod)进行层次聚类分析。并根据陕西的交通物流节点枢纽城市现状进行了实证分析和结果验证,证明此类问题解决的方法是可行的和有效的。
In order to get the hub cities'macro - layout scheme of traffic logistics nodes, and then provide scientific decision and target management basis for different regional transportation logistics nodes design. This dissertation puts forward comprehensive application of factor analysis and cluster analysis in multivariate statistics. Firstly, the raw data is standardized and then conducted in factor analysis to obtain factor scores; secondly hierarchical clustering analysis is done using Ward~ Method with the factor scores as input variables, and finally it proves that the resolutions to the problems is feasible and effective according to the hub cities' status of Shaanxi transportation logistics nodes and the empirical analysis and results
出处
《陕西交通职业技术学院学报》
2012年第4期32-37,61,共7页
Journal of Shaanxi College of Communication Technology