Research on the Development of “Ghost City” Based on Night Light Data: Taking Sichuan Province as an Example - Open Journal of Social Sciences

JSS > Vol.7 No.12, December 2019

Research on the Development of “Ghost City” Based on Night Light Data: Taking Sichuan Province as an Example ()

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Download as PDF (Size: 1000KB) PP. 176-188

DOI: 10.4236/jss.2019.712013 510 Downloads 1,447 Views Citations

Author(s)

Qiqi Zeng¹, Wenjun Zhang²

Affiliation(s)

¹School of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang, China.
²School of Environment and Resources, Southwest University of Science and Technology, Mianyang, China.

ABSTRACT

Due to the improvement of urbanization level and unreasonable development in China, many cities have begun to appear as “Ghost City”; that is, the phenomenon of high vacancy rate and low occupancy rate in urban areas. The emergence of this phenomenon will seriously affect the healthy development of cities. Therefore, the monitoring and analysis of the urban “Ghost City” index is of great significance to urban population and urban construction. This paper uses Landsat8 remote sensing image data, night light remote sensing image data, and resident population data of various cities and counties in Sichuan Province to calculate the “Ghost City” index, and obtains the “Ghost City” Index of prefecture-level cities and county-level cities in Sichuan Province. Based on the judgment criteria of the Ghost City, the calculation results show that three cities have become “Ghost City” within the research scope; eight cities have a tendency to develop into “Ghost City”; the rest of the cities have developed well and there has not been a “Ghost City” phenomenon. According to this conclusion, this paper studies the similarities and differences between the cities that are the ghost towns or the cities with the development trend of ghost towns, analyzes the reasons for the formation of ghost towns and makes suggestions for the urbanization of Sichuan Province, and provides reference for the direction of urban development and rational planning.

KEYWORDS

Urbanization, DMSP/OLS, “Ghost City” Index, Light Gray Value

Share and Cite:

Zeng, Q. and Zhang, W. (2019) Research on the Development of “Ghost City” Based on Night Light Data: Taking Sichuan Province as an Example. Open Journal of Social Sciences, 7, 176-188. doi: 10.4236/jss.2019.712013.

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