RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2019, Vol. 28 >> Issue (05): 1070-1079.doi: 10.11870/cjlyzyyhj201905007

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Characteristics and Optimization of Geographical Space in Urban Agglomeration in the Upper Reaches of the Yangtze River Based on the Function of  “Production Living Ecological”

WEI Xiao-fang 1, ZHAO Yu-luan1,2, LI Xiu-bin2, XUE Chao-lang 1,XIA Si-you3   

  1. (1.School of Geographical Environmental Science, Guizhou Normal University, Guiyang 550001,  China; 2.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences, Beijing 100101, China; 3.School of Geography Science, Nanjing Normal University, Nanjing 210023,  China)
  • Online:2019-05-20 Published:2019-05-22

Abstract: Land space is the carrier of human production, living activities and ecological civilization construction,however,how to promote the orderly, moderate and sustainable development and utilization of land space that is a scientific problem needs to be solved urgently.This paper based on the perspective of “Production Living Ecological”,which using entropy weight method and function evaluation analyzes the spatial characteristics of urban agglomerations in the upper reaches of the Yangtze river,and using the spatial function comparative advantage index, system clustering methods exploring its land space characteristics and optimization plan.The result are as follows:(1)The “ProductionLivingEcological”of the urban agglomerations is characterized by “less strong and weaker”in the upper reaches of the Yangtze River,the urban function measurement value in space shows not only decreasing trend from the core urban area to the peripheral area,but also lowvalue area overall distribution;(2)The ecological function measurement value is increasing from the core city to the peripheral area,and the contradiction between the construction of regional ecological security pattern and economic development is obvious;(3)Dividing the land space of the upper reaches of the Yangtze River into four dominant functional areas and proposed its the optimization plan.

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