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Comprehensive Assessment of Urbanization Coordination:A Case Study of Jiangxi Province, China
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  • 英文篇名:Comprehensive Assessment of Urbanization Coordination:A Case Study of Jiangxi Province, China
  • 作者:LI ; Shu ; YING ; Zhixia ; ZHANG ; Huan ; GE ; Gang ; LIU ; Qijing
  • 英文作者:LI Shu;YING Zhixia;ZHANG Huan;GE Gang;LIU Qijing;Key Laboratory of Poyang Lake Environment and Resource Utilization (Nanchang University), Ministry of Education;Department of Environmental Science and Engineering, School of Resources Environmental and Chemical Engineering, Nanchang University;School of Life Sciences, Nanchang University;College of Forestry, Beijing Forestry University;
  • 英文关键词:urban construction land;;coupling degree model;;entropy weight method;;multi-index grading method;;Remote Sensing & Geographic Information System Technology
  • 中文刊名:ZDKX
  • 英文刊名:中国地理科学(英文版)
  • 机构:Key Laboratory of Poyang Lake Environment and Resource Utilization (Nanchang University), Ministry of Education;Department of Environmental Science and Engineering, School of Resources Environmental and Chemical Engineering, Nanchang University;School of Life Sciences, Nanchang University;College of Forestry, Beijing Forestry University;
  • 出版日期:2019-05-07
  • 出版单位:Chinese Geographical Science
  • 年:2019
  • 期:v.29
  • 基金: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)
  • 语种:英文;
  • 页:ZDKX201903011
  • 页数:15
  • CN:03
  • ISSN:22-1174/P
  • 分类号:128-142
摘要
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 km~2 in 1990 to 2896.8 km~2 in2015, and the per capita urban construction land area(PCUCLA) reached 122.9 m~2, with the maximum value of 343 m~2 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 m~2). Since there are significant spatio-temporal differences in urbanization, it is necessary to carry out a comprehensive assessment to facilitate differential urbanization strategy making.
        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 km~2 in 1990 to 2896.8 km~2 in2015, and the per capita urban construction land area(PCUCLA) reached 122.9 m~2, with the maximum value of 343 m~2 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 m~2). Since there are significant spatio-temporal differences in urbanization, it is necessary to carry out a comprehensive assessment to facilitate differential urbanization strategy making.
引文
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