中国城市蔓延时空动态识别及驱动因素探测

doi:10.13959/j.issn.1003-2398.2021.04.014

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Abstract Urban sprawl has become a key issue of global concern as a special phenomenon related to abnormal urbanization. DMSP/OLI nighttime light data, NPP/VIIRS nighttime light data, and LandScan population distribution data were used to extract urban areas in China from 2000 to 2017 using the mutation detection method. After this, 343 cities at prefecture-level and above in China were taken as study units and the population sprawl index and the land sprawl index-which together constitute the urban sprawl index (USI)-were modeled to subdivide the differences in density within the cities. The evolutionary trend and spatiotemporal pattern of urban sprawl in China were then analyzed using trend analysis and exploratory spatiotemporal data analysis, while Geodetector was applied to probe the factors driving the changes. The results show the following. 1) There has been moderate or high urban sprawl development in China from 2000 to 2017. In terms of spatial distribution, the USI was high in the northwest and low in the southeast; 2) In 47.2% of the cities studied, the spread index has hardly changed in 18 years. 3) The local spatial stability of the USI gradually decreased from southeast to northwest and northeast. 4) The gross regional product (GRP) of tertiary industry, the general GRP, and investment in real estate development are the most important factors affecting the sprawl in cities at the prefecture level and above in China.

Key words： urban sprawl ESTDA Geodetector driving factor China

Received: 07 September 2020

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F291

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	ZHANG Xin
	PAN Jing-hu

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ZHANG Xin,PAN Jing-hu. IDENTIFICATION OF SPATIO-TEMPORAL DYNAMICS AND DETECTION FOR DRIVING FACTORS OF URBAN SPRAWL IN CHINA[J]. HUMAN GEOGRAPHY, 2021, 36(4): 114-125.

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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2021.04.014 OR http://rwdl.xisu.edu.cn/EN/Y2021/V36/I4/114

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