首页|珠三角城市群建设用地开发强度时空格局演化及影响因素分析

珠三角城市群建设用地开发强度时空格局演化及影响因素分析

扫码查看
建设用地开发强度作为区域城市现代化水平的综合反映及衡量指标,进行其时空变化的测度及影响因素的分析对国土空间合理优化管控具有重要作用;虽然相关研究日益丰富完善,但研究尺度多以城市为单位,方法层面多利用地理加权回归模型进行要素空间异质性的探究.本文以珠三角城市群为研究区域,构建建设用地开发强度模型体系,计算2010~2020年珠三角各县(区)建设用地开发强度指数,通过空间自相关分析、普通最小二乘法与多尺度地理加权回归对开发强度空间特征以及各影响因素的时空格局演化进行探究.结果表明:①2010~2020年珠三角城市群建设用地开发强度总体呈增长态势,空间差异显著;高强度区主要集中于广州市、深圳市等中心地区,低强度区主要集中于肇庆市、江门市等周围地区;②珠三角建设用地开发强度正向空间集聚效益显著,冷热点空间分布格局与对应开发强度数值空间分布格局基本一致;③固定资产投资、地方财政支出及社会消费品零售总额是影响珠三角建设用地开发强度时空异质性的主导因素,三者均为社会经济影响要素,在各县区中影响程度存在差异性与不稳定性.
Spatiotemporal pattern evolution and influencing factors analysis of construction land development intensity in the Pearl River Delta urban agglomeration
The expansion of urban land use has brought about a series of urban problems.Among them,the problem of inefficient and careless land use for construction is very prominent.This means that urban planning needs to develop in the direction of"stocking".The development intensity of construction land is a comprehensive reflection of the modernization level of regional cities.At the same time,it is also an important research object for the optimization and control of land space.Therefore,it is necessary to measure the development intensity of regional construction land.In this paper,the proportion of construction land,industrial structure,and population carrying capacity were considered to construct a land use intensity modeling system,and the PRD urban agglomeration was used as the study area to calculate the index of construction land use intensity in the PRD from 2010 to 2020.Based on this,spatial autocorrelation is used to analyze its spatial characteristics and agglomeration.Subsequently,the corresponding influencing factors of economic development,industrial structure,construction investment,financial investment,residential consumption,and geographic environment are selected,and the ordinary least square method(OLS)and multiscale geographic weighted regression(MGWR)are used to identify the influencing factors of the spatial and temporal pattern of the development intensity evolution.① Between 2010 and 2020,there was a general upward trend in the development intensity of construction land within the PRD urban agglomeration,with notable spatial disparities observed.The high-intensity areas are mainly concentrated in the central areas of Guangzhou and Shenzhen,while the low-intensity areas are concentrated in the surrounding areas of Zhaoqing,Jiangmen,and Huizhou.② The positive spatial concentration of construction land development intensity in the PRD is significant.Hot spots are stabilized in the central counties and districts such as Yuexiu District in Guangzhou and southern counties and districts such as Futian District in Shenzhen,while cold spots are stabilized in counties and districts under Zhaoqing and Jiangmen.③ Fixed asset investment,local financial expenditure,and total retail sales of consumer goods are the dominant influencing factors in the PRD.And these three factors have different degrees of influence in different counties and districts,and some of them are unstable.This study aims to analyze the spatial and temporal fluctuations in construction land development intensity within urban agglomerations,alongside investigating the correlation between this intensity and influencing factors.The findings contribute valuable insights into understanding the spatiotemporal pattern of construction land development intensity within significant urban agglomerations in China,spatial agglomeration,and spatial heterogeneity of the influencing factors,as well as to provide a certain reference for the coordinated and sustainable development of the urban agglomerations and rational planning.

development intensity of construction landspatiotemporal patterninfluencing factorsMGWRPearl River Delta urban agglomeration

董泽楷、王海军、彭小桃、孙端、谭紫玲、王权、曾丹旦

展开 >

武汉大学 资源与环境科学学院,武汉 430079

自然资源部华南热带亚热带自然资源监测重点实验室,广州 510663

广东省国土资源测绘院,广州 510663

贵州财经大学 公共管理学院,贵阳 550025

武汉东湖学院 经济学院,武汉 430212

展开 >

建设用地开发强度 时空格局 影响因素 多尺度地理加权回归 珠三角城市群

自然资源部华南热带亚热带自然资源监测重点实验室开放基金

2023NRMK02

2024

地理信息世界
中国地理信息产业协会 黑龙江测绘地理信息局

地理信息世界

CSTPCD
影响因子:0.826
ISSN:1672-1586
年,卷(期):2024.31(2)
  • 29