江苏省土地城镇化的空间分异及其主导因素探测

doi:10.13959/j.issn.1003-2398.2018.04.013

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人文地理 ›› 2018, Vol. 33 ›› Issue (4) : 88-94,112. DOI: 10.13959/j.issn.1003-2398.2018.04.013

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江苏省土地城镇化的空间分异及其主导因素探测

吕立刚^1,2, 隋雪艳³, 汪翔⁴, 周兵兵⁵, 孙燕¹, 李永乐¹

作者信息 +

SPATIAL VARIATION OF LAND URBANIZATION IN JIANGSU AND DOMINANT DRIVERS

LV Li-gang^1,2, SUI Xue-yan³, WANG Xiang⁴, ZHOU Bing-bing⁵, Sun Yan¹, LI Yong-le¹

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文章历史 +

摘要

实现新型城镇化战略的重要前提是科学认识土地城镇化的特征及机制，其难点在于识别影响土地城镇化的主导因素以进行针对性调控。基于空间自相关分析、地理探测器等方法，识别江苏省土地城镇化水平的空间分异特征及其主导因素。结果显示：①江苏省的土地城镇化水平为38.90%，呈现出南高北低的梯度分异格局。②土地城镇化水平的热点区、次热点区集中分布在苏南以及苏中的南通市区、泰州市区及其周围县（市），次冷点区包围着冷点区主要分布苏北的县（市）及苏中的宝应县。③人口集聚类、经济发展类、社会投资类的因素对土地城镇化空间分异影响最为显著；基础设施类、开放水平类的部分因素的对土地城镇化空间分异有一定的解释能力。

Abstract

A prerequisite for implementing China's New Type Urbanization is the comprehensive understanding of land urbanization's characteristics and underlying mechanisms. In this regard, a major challenge is how to identify the dominant drivers of land urbanization for targeted management. Adding to existing approaches (e.g., qualitative analysis, univariate regression and econometric modeling) that are not sufficient enough to addressing the spatial dimension of land urbanization, the present study adopted a multi-method approach that combines geo-spatial auto-correlation analysis, optimized hot/cold spot analysis and geo-detector analysis. The methodology was demonstrated through a county-scale case study of Jiangsu Province in the economically developed eastern China, by using fairly accessible land use change cadastral data and socioeconomic data.

导出引用

吕立刚, 隋雪艳, 汪翔, 周兵兵, 孙燕, 李永乐. 江苏省土地城镇化的空间分异及其主导因素探测[J]. 人文地理. 2018, 33(4): 88-94,112 https://doi.org/10.13959/j.issn.1003-2398.2018.04.013

LV Li-gang, SUI Xue-yan, WANG Xiang, ZHOU Bing-bing, Sun Yan, LI Yong-le. SPATIAL VARIATION OF LAND URBANIZATION IN JIANGSU AND DOMINANT DRIVERS[J]. HUMAN GEOGRAPHY. 2018, 33(4): 88-94,112 https://doi.org/10.13959/j.issn.1003-2398.2018.04.013

中图分类号： F291

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