论文部分内容阅读
摘 要：承運线路科学定价问题成为了众多无车承运人平台亟待解决的问题，是一个值得研究的课题，本文围绕该问题，建立主成分分析模型，借助SPSS软件对数据进行挖掘处理，确定了9个因素为主层次分析模型的变量。带入模型计算，得到三个主成分，对各主成分与变量的相关系数分析，最终确定出五个最主要因素，并量化出了5个因素的重要程度，量化结果为：总里程：总成本：调价比例：业务类型：需求紧急程度=0.989：0.987：0.792：0.615：0.606，成功的分析出了影响定价的主要因素。
关键词：主成分分析
Research on the Pricing Problem of Car-free Carrier Platform Route
Feng Wen，Li Jialong，Fu Rui
Abstract：The problem of scientific pricing of carrier routes has become an urgent problem for many car-free carrier platforms， and it is a topic worthy of study. This article focuses on this problem， establishes a principal component analysis model， and uses SPSS software to mine and process data， and determine 9 factors， which are the variables of the main hierarchical analysis model. The article brings into the model calculations to obtain three principal components， analyzes the correlation coefficients of each principal component and the variables， and finally determines the five most important factors， and quantifies the importance of the five factors. The quantified result is： total mileage： total cost： price adjustment ratio： business type： urgency of demand=0.989：0.987：0.792：0.615：0.606. The main factors affecting pricing have been successfully analyzed.
Key words：principal component analysis
关键词：主成分分析
Research on the Pricing Problem of Car-free Carrier Platform Route
Feng Wen，Li Jialong，Fu Rui
Abstract：The problem of scientific pricing of carrier routes has become an urgent problem for many car-free carrier platforms， and it is a topic worthy of study. This article focuses on this problem， establishes a principal component analysis model， and uses SPSS software to mine and process data， and determine 9 factors， which are the variables of the main hierarchical analysis model. The article brings into the model calculations to obtain three principal components， analyzes the correlation coefficients of each principal component and the variables， and finally determines the five most important factors， and quantifies the importance of the five factors. The quantified result is： total mileage： total cost： price adjustment ratio： business type： urgency of demand=0.989：0.987：0.792：0.615：0.606. The main factors affecting pricing have been successfully analyzed.
Key words：principal component analysis