基于机器学习语言的我国地区快递发展问题研究  

Research on China’s Regional Express Development Based on Machine Learning Language

作　　者：何峻 黄思刚[1] HE Jun;HUANG Si-gang(School of Economics,Guizhou University,Guiyang 550025,China)

机构地区：[1]贵州大学经济学院,贵州贵阳550025

出　　处：《物流工程与管理》2021年第5期33-35,共3页Logistics Engineering and Management

摘　　要：近些年快递行业在我国发展迅猛,但在发展过程中依然面临很多问题,影响行业的健康发展,文中以邮政快递的快递损毁申诉率、快递丢失短少申诉率和快递投递服务申诉率为研究对象,通过聚类分析的方法将各地区邮政快递发展存在的问题把全国31个省(地区)分为三类,研究发现除了贵州、新疆和西藏这几个地方用户的申诉率普遍较高以外,邮政快递在全国的其它地区用户的申诉率都比较低,最后根据各地区分类的申诉率特征给出相关可行的建议。in recent years,the express industry has developed rapidly in our country,but it still faces many problems in the process of development,which affects the healthy development of the industry.This paper takes the express damage complaint rate,express loss complaint rate and express delivery service complaint rate as the research object,and uses the method of cluster analysis to analyze the problems existing in the development of regional postal express in 31 provinces of China,It is found that except for Guizhou,Xinjiang and Tibet,the complaint rate of postal express users in other regions of the country is rlelatively low.Finally,according to the characteristics of the complaint rate of each region,the relevant feasible suggestions are given.

关 键 词：地区快递 聚类分析 政策建议 

分 类 号：F614[经济管理—产业经济]