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《Acta Scientiarum Naturalium Universitatis Pekinensis》 2012-02
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Spatial Analysis of Urban Residential Ecological Quality:A Case Study of Shenzhen

TAO Jingxian1,WANG Yanglin1,,LIU Zhenhuan1,2 1.College of Urban and Environment Sciences,Laboratory for Earth Surface Processes,Peking University,Beijing 100871;2.Shenzhen Graduate School,Key Laboratory for Environmental and Urban Sciences,Peking University,Shenzhen 518055  
Based on the relevant theories of environmental economics and ecosystem services and functions,the article evaluates residential ecological quality within the Shenzhen city using the methods of mathematical statistics and GIS analysis,which helps to demonstrate the spatial distribution of the life quality of the citizens,and thus provide solid evidence for urban planning and policy making.The research is also helpful to other areas in China in that it makes efforts to predict the changing trend of living environment in relatively typical and quickly-developed cities,which reveals the causes and the solutions to the problems.The result shows that the residential ecological quality of Shenzhen decreases all along the southeast area to the northwest area of the whole region in the year of 2005,and meanwhile,communities inside the special zone,on the general,enjoy better living environment than those outside the special zone.As to the cause of the spatial distribution,while the urban plan serve as the fundamental factor and plays a vital role,the way in which the city develops also play active roles in the forming of this pattern.Furthermore,the analyses also shed light on the recipe to improve the current unsatisfying status: planning for more ecological lands like wetlands and forests,combined with adjusting the structure of local industries to decrease the pollution released by manufacturing in this region will serve as two efficient policy direction,which is sure to bring about a better living environment and contribute to a better life standard for all of the citizens in Shenzhen.
【Fund】: 国家自然科学基金(40635028 40801066);; 国家基础科学人才培养基金项目(J0630531)资助
【CateGory Index】: X826
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