Mega-towns in China: Their spatial distribution features and growth mechanisms

doi:10.1007/s11442-020-1770-3

	Mega-towns in China: Their spatial distribution features and growth mechanisms
	Wang Xueqin 1,2,3; Liu Shenghe 2,3; Qi Wei 2,3
刊名	JOURNAL OF GEOGRAPHICAL SCIENCES
	2020-07-01
卷号	30 期号:7 页码:1060-1082
关键词	mega-town features spatial distribution growth mechanism China
ISSN号	1009-637X
DOI	10.1007/s11442-020-1770-3
通讯作者	Liu Shenghe(liush@igsnrr.ac.cn)
英文摘要	As a special outcome of urbanization, mega-towns not only play an important role in the process of socio-economic development, but also are important contributors to urbanization. Based on a spatial database of mega-towns in China, this paper explores the spatial distribution features and growth mechanisms of China's 238 mega-towns using the nearest neighbour distance method, kernel density estimation, regression analysis, global autocorrelation, local autocorrelation and other spatial analysis methods. Results of spatial distribution features show that: (1) on the national scale, the existing 238 mega-towns mainly gathered in the southeast coastal areas of China; they formed two spatial core agglomerations, several secondary ones and a southeast coastal agglomeration belt; (2) on the regional scale, each economic region's index was less than 1, indicating that mega-towns in each region tended to be spatially agglomerated due to the close relationship with regional development level and their number; (3) on the provincial scale, 68% of provincial-level units in China tended to be a spatial agglomeration of mega-towns; only one province had a random distribution; the number of mega-towns in those evenly-distributed provinces was generally small. The growth of mega-towns was determined by a combination of various natural and humanistic factors, including topography, location, economy, population, traffic, and national policy. This paper chose digital elevation model (DEM), location advantage, economic density, population density, and highway density distribution as corresponding indicators as quantitative factors. By combining their local autocorrelation analysis, these factors all showed certain influence on the spatial growth of mega-towns and together scheduled it. In the future, provinces and cities should make full use of the mega-town functions to promote their socioeconomic development, especially the central and western regions in China.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040402] ; National Natural Science Foundation of China[41771180] ; National Natural Science Foundation of China[41661144023] ; National Natural Science Foundation of China[41701165]
WOS关键词	SMALL CITIES
WOS研究方向	Physical Geography
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000562447500002
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/157994]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu Shenghe
作者单位	1.Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wang Xueqin,Liu Shenghe,Qi Wei. Mega-towns in China: Their spatial distribution features and growth mechanisms[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2020,30(7):1060-1082.
APA	Wang Xueqin,Liu Shenghe,&Qi Wei.(2020).Mega-towns in China: Their spatial distribution features and growth mechanisms.JOURNAL OF GEOGRAPHICAL SCIENCES,30(7),1060-1082.
MLA	Wang Xueqin,et al."Mega-towns in China: Their spatial distribution features and growth mechanisms".JOURNAL OF GEOGRAPHICAL SCIENCES 30.7(2020):1060-1082.