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中等规模城市居民住房条件的时空分异格局及驱动机制——以肇庆市为例

刘晔 陈安琪 刘华扬 冯志昕

热带地理2024,Vol.44Issue(1):92-105,14.
热带地理2024,Vol.44Issue(1):92-105,14.DOI:10.13284/j.cnki.rddl.003809

中等规模城市居民住房条件的时空分异格局及驱动机制——以肇庆市为例

Spatial-Temporal Differentiation Patterns and Driving Mechanisms of Residential Housing Conditions in Medium-Sized Cities:A Case Study of Zhaoqing City

刘晔 1陈安琪 1刘华扬 1冯志昕1

作者信息

  • 1. 中山大学 地理科学与规划学院,广州 510006||广东省城市化与地理环境空间模拟重点实验室,广州 510006||广东省公共安全与灾害工程技术研究中心,广州 510006
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摘要

Abstract

Academic circles have long ignored the problems of inadequate and unbalanced housing development in medium-sized cities.Based on data from the sixth and seventh national population censuses of Zhaoqing City,this study constructed the resident housing evaluation system focusing on four sub-systems:construction age,building structure,per capita floor area,and housing living facilities.Through global and local spatial autocorrelation analyses,the spatial-temporal differentiation pattern of residents'housing conditions in Zhaoqing City from 2010 to 2020 was described.An OLS regression model was used to identify the influencing factors of the comprehensive score of residents'housing conditions,revealing the driving mechanisms of the evolution of the spatial pattern of housing conditions.The results show that 1)From 2010 to 2020,the spatial difference characteristics of the housing conditions of residents in Zhaoqing City showed obvious changes,with the high score area shifting from southeast to northwest.2)The housing conditions of residents showed significant spatial agglomeration characteristics.The spatial agglomeration degree of the overall housing condition score did not change much in the past 10 years,while the spatial agglomeration degree of the construction age,building structure,and housing living facilities scores decreased significantly.3)In 2020,the housing conditions of urban residents and rural residents presented different spatial differentiation patterns.The per capita floor area subsystem of rural housing dominates the spatial differentiation pattern of housing conditions for all residents in the city.4)Regarding driving mechanisms,early urban forms constitute the historical basis of the spatial pattern of housing conditions in Zhaoqing City.Government policies and planning are the key driving forces shaping the evolution of spatial patterns,and the filtering effect of the housing market further strengthens the established spatial pattern.Based on these findings,the study proposes the following policy implications for Zhaoqing City:1)Accelerate the upgrading of the industrial structure and new type urbanization construction,and encourage the city's agricultural migrant population and migrant workers to find jobs and settle down in the central city,development zone,and county;2)Increase the supply of affordable housing with better housing quality in Zhaoqing New District and High-tech Zone to attract and retain highly skilled talents and college graduates;3)Control the supply scale of residential land in the New District and High-tech Zone,increase the supply scale of industrial land,and expedite the introduction of strategic industries;4)Conduct micro-transformations of old residential areas in the old urban areas,upgrade infrastructure and indoor living facilities,and improve the quality of the living environment.This study discusses the evolution trend and driving mechanisms of the spatial differentiation of housing conditions in small-and medium-sized cities and offers policy implications to comprehensively improve the housing conditions of Zhaoqing residents based on local conditions.This has significant reference value for promoting the optimization of housing conditions in small-and medium-sized cities and improving the overall living conditions of citizens.

关键词

住房条件/中等规模城市/信息熵/全国人口普查/肇庆市

Key words

housing condition/medium-sized cities/information entropy/national population census/Zhaoqing City

分类

社会学

引用本文复制引用

刘晔,陈安琪,刘华扬,冯志昕..中等规模城市居民住房条件的时空分异格局及驱动机制——以肇庆市为例[J].热带地理,2024,44(1):92-105,14.

基金项目

国家自然科学基金项目(42171196) (42171196)

热带地理

OACSTPCD

1001-5221

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