Population Classification Model of Liaoning Province Based on Cluster Analysis

Abstract

Aiming at the problem of urban shrinkage in Liaoning Province, this paper established a population classification model by systematic clustering method. Based on two indicators of population contraction and GDP contraction, we defined the shrinkage rate, and classified 30 cities in Liaoning Province according to the shrinkage rate. Firstly, the weights of population contraction and GDP contraction were calculated by using the analytic hierarchy process. Secondly, the average annual growth rate of the two is weighted, and the shrinkage rate is defined as the weighted value. Then, based on the systematic clustering method, the population classification model was established by using the classical Euclidean distance, and the 30 cities were classified by SPSS software. The results of this paper on shrinking cities have important reference value for examining the future development trend of a city.