馮文　李佳龍　付瑞

摘 要：承運(yùn)線路科學(xué)定價(jià)問題成為了眾多無車承運(yùn)人平臺(tái)亟待解決的問題，是一個(gè)值得研究的課題，本文圍繞該問題，建立主成分分析模型，借助SPSS軟件對(duì)數(shù)據(jù)進(jìn)行挖掘處理，確定了9個(gè)因素為主層次分析模型的變量。帶入模型計(jì)算，得到三個(gè)主成分，對(duì)各主成分與變量的相關(guān)系數(shù)分析，最終確定出五個(gè)最主要因素，并量化出了5個(gè)因素的重要程度，量化結(jié)果為：總里程：總成本：調(diào)價(jià)比例：業(yè)務(wù)類型：需求緊急程度=0.989：0.987：0.792：0.615：0.606，成功的分析出了影響定價(jià)的主要因素。

關(guān)鍵詞：主成分分析

Research on the Pricing Problem of Car-free Carrier Platform Route

Feng Wen，Li Jialong，F(xiàn)u 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