Analysis of city centrality based on entropy weight TOPSIS and population mobility:A case study of cities in the Yangtze River Economic Belt

作     者：LUO Jing CHEN Siyun SUN Xuan ZHU Yuanyuan ZENG Juxin CHEN Guangping 罗静;陈四云;孙璇;朱媛媛;曾菊新;陈广平

作者机构：Key Laboratory for Geographical Process Analysis&Simulation of Hubei ProvinceCentral China Normal UniversityWuhan 430079China The College of Urban&Environmental SciencesCentral China Normal UniversityWuhan 430079China Academy of Wuhan Metropolitan AreaHubei Provincial Development and Reform Commission/Central China Normal UniversityWuhan 430079China Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China School of Earth SciencesZhejiang UniversityHangzhou 310027China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2020年第30卷第4期

页      面：515-534页

核心收录：

学科分类：0303[法学-社会学] 12[管理学] 1204[管理学-公共管理] 03[法学] 030302[法学-人口学] 

基　　金：National Natural Science Foundation of China,No.41871176 The“Hua Bo”Plan of Central China Normal University Postgraduate Education Innovation Subsidy Project of Central China Normal University,No.2018CXZZ004 

主　　题：city centrality entropy weight TOPSIS population mobility Yangtze River Economic Belt obstacle degree model 

摘      要：Based on statistical data and population flow data for 2016,and using entropy weight TOPSIS and the obstacle degree model,the centrality of cities in the Yangtze River Economic Belt(YREB)together with the factors influencing centrality were *** addition,data for the population flow were used to analyze the relationships between cities and to verify *** results showed that:(1)The pattern of centrality conforms closely to the pole-axis theory and the central geography *** axes,corresponding to the Yangtze River and the Shanghai-Kunming railway line,interconnect cities of different *** the whole,the downstream cities have higher centrality,well-defined gradients and better development of city infrastructure compared with cities in the middle and upper reaches.(2)The economic scale and size of the population play a fundamental role in the centrality of cities,and other factors reflect differences due to different city *** most of the coastal cities or the capital cities in the central and western regions,factors that require long-term development such as industrial facilities,consumption,research and education provide the main competitive *** cities that are lagging behind in development,transportation facilities,construction of infrastructure and fixed asset investment have become the main methods to achieve development and enhance competitiveness.(3)The mobility of city populations has a significant correlation with the centrality score,the correlation coefficients for the relationships between population mobility and centrality are all greater than 0.86(P0.01).The population flow is mainly between high-class cities,or high-class and low-class cities,reflecting the high centrality and huge radiating effects of high-class ***,the cities in the YREB are closely linked to Guangdong and Beijing,reflecting the dominant economic status of Guangdong with its geographical proximity to the YREB and Beijing s e