Markov Chains for Investigating and Predicting Migration: A Case from Southwestern China

2017 International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Qin, Bo^1 ; Wang, Yiyu^2 ; Xu, Haoming^3

School of Foreign Languages, University of Electronic Science and Technology of China, Chengdu, China^1

Research Administration Office, Party School of Sichuan Provincial Committee of C.P.C for Provincial Authorities, Chengdu, China^2

Department of Modern Science and Technology, Chengdu Administration Institute, Chengdu, China^3

关键词: Local government;    Local people;    Mathematical method;    Social and economic development;    Western China;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/322/5/052001/pdf
DOI  :  10.1088/1757-899X/322/5/052001

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In order to accurately predict the population's happiness, this paper conducted two demographic surveys on a new district of a city in western China, and carried out a dynamic analysis using related mathematical methods. This paper argues that the migration of migrants in the city will change the pattern of spatial distribution of human resources in the city and thus affect the social and economic development in all districts. The migration status of the population will change randomly with the passage of time, so it can be predicted and analyzed through the Markov process. The Markov process provides the local government and decision-making bureau a valid basis for the dynamic analysis of the mobility of migrants in the city as well as the ways for promoting happiness of local people's lives.