Chinese City Size Evolution Under Perspective of Nighttime Light Remote Sensing

XU Huimin; HU Shougeng

doi:10.13203/j.whugis20190330

Volume 46 Issue 1

Jan. 2021

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Geomatics and Information Science of Wuhan University > 2021 > 46(1): 40-49. > DOI: 10.13203/j.whugis20190330

XU Huimin, HU Shougeng. Chinese City Size Evolution Under Perspective of Nighttime Light Remote Sensing[J]. Geomatics and Information Science of Wuhan University, 2021, 46(1): 40-49. DOI: 10.13203/j.whugis20190330

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Chinese City Size Evolution Under Perspective of Nighttime Light Remote Sensing

XU Huimin^{1, 2,},
HU Shougeng^1, ,

1.
School of Public Administration, China University of Geosciences (Wuhan), Wuhan 430074, China
2.
School of Economics, Wuhan Donghu University, Wuhan 430212, China

Funds:

The National Natural Science Foundation of China 41671518

the Open Fund of Key Laboratory of the Ministry of Land and Resources for Law Evaluation Engineering CUGFP-1804

the Open Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University 18T06

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Author Bio:
XU Huimin, PhD, associate professor, specializes in management of land resources.E-mail: xuhuimin1985_2008@163.com
Corresponding author:
HU Shougeng, PhD, professor. E-mail: husg2009@gmail.com
Received Date: August 08, 2020
Published Date: January 04, 2021

Graphical Abstract

Abstract

Abstract

In order to investigate the evolution patterns of city size in China, nighttime light images were used to analyze city size distribution and its spatiotemporal patterns for 338 prefectural cities from 1993 to 2012 based on total nighttime light index, rank-size analysis and Markov transition matrix analysis. Statistical analysis shows that, all provincial regions and economic zones have experienced nighttime light growth, with a growth rate of 257% in the Southwest and 254% in the Northwest. Tibet is the fastest growing provincial region with a growth rate of 842%. The rank-size analysis shows all the other economic zones, except for the Northeast economic zone, become less agglomerated during this period. The Markov transition matrix analysis shows the city size has inertia from 1993 to 2012. Cities in lowest level remain their levels with a probability of 82%. In addition, the size of a city may transit to the neighboring level, but the crossing-level transition rarely happens. This study reveals the city size evolution patterns in a multiple spatial scale and a long period, providing evidences to evaluate policies for Chinese urban development.
- nighttime light,
- city size distribution,
- rank-size analysis,
- Markov transition matrix

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References

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