• 论文 •

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

LI Shu1,2, YING Zhixia1,3, ZHANG Huan1,3, GE Gang1,3, LIU Qijing2,4

1. 1. Key Laboratory of Poyang Lake Environment and Resource Utilization(Nanchang University), Ministry of Education, Nanchang 330031, China;
2. Department of Environmental Science and Engineering, School of Resources Environmental and Chemical Engineer-ing, Nanchang University, Nanchang 330031, China;
3. School of Life Sciences, Nanchang University, Nanchang 330031, China;
4. College of Forestry, Beijing Forestry University, Beijing 100083, China
• 收稿日期:2018-05-10 出版日期:2019-06-27 发布日期:2019-05-06
• 通讯作者: LIU Qijing. E-mail:liuqijing@bjfu.edu.cn E-mail:liuqijing@bjfu.edu.cn
• 基金资助:

Under the auspices of open foundation of The Key Laboratory of Poyang Lake Environment and Resource Utilization (Nanchang University), Ministry of Education, China (No. PYH2015-02)

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

LI Shu1,2, YING Zhixia1,3, ZHANG Huan1,3, GE Gang1,3, LIU Qijing2,4

1. 1. Key Laboratory of Poyang Lake Environment and Resource Utilization(Nanchang University), Ministry of Education, Nanchang 330031, China;
2. Department of Environmental Science and Engineering, School of Resources Environmental and Chemical Engineer-ing, Nanchang University, Nanchang 330031, China;
3. School of Life Sciences, Nanchang University, Nanchang 330031, China;
4. College of Forestry, Beijing Forestry University, Beijing 100083, China
• Received:2018-05-10 Online:2019-06-27 Published:2019-05-06
• Contact: LIU Qijing. E-mail:liuqijing@bjfu.edu.cn E-mail:liuqijing@bjfu.edu.cn
• Supported by:

Under the auspices of open foundation of The Key Laboratory of Poyang Lake Environment and Resource Utilization (Nanchang University), Ministry of Education, China (No. PYH2015-02)

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.

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.