摘要
随着上海迈入人口深度老龄化阶段,上海市各区的养老问题呈现不同的特征,而民政数据海中蕴含着老年人口的大量信息.如何利用民政业务数据海挖掘价值信息是当前养老服务的重点研究内容.本文采用系统聚类方法对养老服务数据进行分析,根据确立的聚类指标体系将上海市各区分为三类,聚类结果很好地反应了不同区域特征.同时,针对不同的养老服务特征提出了基于问题导向的养老服务资源配置建议,为有针对性地提供相应的服务指明方向.此外,聚类结果可以为政府合理构建养老保障体系提供一定的参考.
As Shanghai enters the stage of population aging,the characteristics of the problems of old-age care vary in different districts.Since the data in the business data sea of Shanghai Civil Affairs Bureau contains a lot of information about the elderly population,therefore how to use the data to mine value information is the key research content of the current old-age service.This paper adopts the hierarchical cluster method to analyze elderly service data.According to the establishment of the clustering index system,Shanghai is divided into three categories,The clustering results reflect well the characteristics of different regions.At the same time,according to different characteristics of old-age services,aproblem-oriented advice on the allocation of old-age service resources is proposed,which points out the direction for providing targeted services.In addition,the clustering results can provide a certain reference for the government to rationally construct the old-age security system.
作者
余莹
熊红林
樊重俊
黄爱国
陈震
Yu Ying;Xiong Honglin;Fan Chongjun;Huang Aiguo;Chen Zhen(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China;Shanghai Civil Affairs Information Research Center,Shanghai 200125,China;Wonders Information Co.,Ltd.,Shanghai 201112,China)
出处
《数学理论与应用》
2019年第2期121-128,共8页
Mathematical Theory and Applications
基金
上海市民政局科研课题项目支持
关键词
系统聚类
养老区域划分
数据海
数据挖掘
Hierarchical cluster method
old-age regional division
Data sea
Data mining
