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Comprehensive Assessment of Urbanization Coordination: A Case Study of Jiangxi Province, China

  • Shu Li
  • Zhixia Ying
  • Huan Zhang
  • Gang Ge
  • Qijing LiuEmail author
Article
  • 21 Downloads

Abstract

In order to make assessment on urbanization coordination, we developed a comprehensive model by integrating entropy weight method (EWM), coupling degree model (CDM), coupling coordination degree model (CCDM), multi-index grading method (MIGM) and Remote Sensing & Geographic Information System (RS & GIS) technology. Then we applied this integrated model to a case study in Jiangxi Province, China. Our study finds that: 1) EWM, CDM and CCDM can evaluate the temporal dynamic of urbanization. Urbanization process of Jiangxi Province can be divided into three periods, the stable development period (1990–2001), the accelerated development period (2002–2009) and the rapid development period (2010–2015). Coordinated development of urbanization in Jiangxi Province can be divided into two phases, an increasingly coordinated phase (1990–2003) and an increasingly incongruous phase (2003–2015). The state transition was due to low development rate of population urbanization. 2) RS & GIS technology is an effective tool for detecting urban growth. Urban construction land area of Jiangxi Province increased from 615.8 km2 in 1990 to 2896.8 km2 in 2015, and the per capita urban construction land area (PCUCLA) reached 122.9 m2, with the maximum value of 343 m2 in Gongqingcheng City. 3) MIGM and RS & GIS technology can analyze spatial difference of urbanization. There is a significant spatial difference in socioeconomic development at county scale, with the maximum value six times the minimum value for both PCUCLA and per capita GDP in 2015. Population urbanization lag and excessive land use are the main reasons for uncoordinated urbanization. There were 15 counties with a lag in demographic urbanization and 33 counties where PCUCLA exceeded the national standard in 2015, among which 20 exceeded the national standard of PCUCLA by 50% (≥165 m2). Since there are significant spatio-temporal differences in urbanization, it is necessary to carry out a comprehensive assessment to facilitate differential urbanization strategy making..

Keywords

urban construction land coupling degree model entropy weight method multi-index grading method Remote Sensing &Geographic Information System Technology 

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Notes

Acknowledgement

We would like to thank the anonymous reviewers and editors for their valuable comments and suggestions, which greatly improved the quality of this paper. We also thank Dr. Lan Zhichun and Prof. Huang Min for their constructive discussions and assistance.

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Copyright information

© Science Press and Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Shu Li
    • 1
    • 2
  • Zhixia Ying
    • 1
    • 3
  • Huan Zhang
    • 1
    • 3
  • Gang Ge
    • 1
    • 3
  • Qijing Liu
    • 2
    • 4
    Email author
  1. 1.Key Laboratory of Poyang Lake Environment and Resource Utilization (Nanchang University)Ministry of EducationNanchangChina
  2. 2.Department of Environmental Science and Engineering, School of Resources Environmental and Chemical EngineeringNanchang UniversityNanchangChina
  3. 3.School of Life SciencesNanchang UniversityNanchangChina
  4. 4.College of ForestryBeijing Forestry UniversityBeijingChina

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