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基于空间优先级的快速城市化地区绿色基础设施网络构建——以南京市浦口区为例

Urban green infrastructure building for sustainability in areas of rapid urbanization based on evaluating spatial priority: a case study of Pukou in China

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【作者】 魏家星宋轶王云才象伟宁

【Author】 WEI Jiaxing;SONG Yi;WANG Yuncai;XIANG Weining;College of Horticulture, Nanjing Agricultural University;College of Architecture and Urban Planning, Tongji University;School of Geography and Earth Sciences, University of North Carolina at Charlotte 28223-0001;

【通讯作者】 王云才;

【机构】 南京农业大学园艺学院同济大学建筑与城市规划学院美国北卡罗莱纳大学夏洛特分校

【摘要】 绿色基础设施是一个由自然区域和其他开放空间相互联系的网络。在城市空间极为有限的情况下,如何有效构建城市绿色基础设施网络并识别那些具关键性景观生态功能的网络要素显得极为重要。为了给城市绿色基础设施网络的建设和管理提供新的建模与分析理念,以快速城市化的南京市浦口区为例,采用MSPA方法并结合景观连通性指数,遴选出了对维持景观连通性贡献最大的生境斑块作为绿色基础设施网络的网络中心,进而采用最小路径方法构建了研究区潜在的绿色基础设施网络,并尝试利用空间句法分析,基于结构优化视角对绿色基础设施网络进行优先级的识别,从而使绿色基础设施网络的构建更科学。研究结果可为快速城市化地区绿色基础设施网络的构建提供一种研究思路与方法,对绿色基础设施网络要素的优先级评价也具有一定的借鉴意义。

【Abstract】 Rapid urbanization has being highlighted the limitations on the sustainable development of cities due to the fragmentation of restricted urban green space in recent two decades. Green infrastructure(GI) is considered generally to involve all natural, semi-natural, and artificial ecosystems within and between urban areas at all spatial scales. The concept of GI emphasizes the quality and quantity of urban and peri-urban green spaces, as well as their multiple functions and the importance of interconnections between them. GI does not mean to build an entirely new landscape system, but enhance the connectivity of already existing green spaces and build strong ecological services of ecosystem. In the case of strong limited urban space, it is extremely important to build effectively urban green infrastructure networks based on evaluating its spatial priority. Constructing green infrastructure requires consideration of effectiveness and efficiency of the GI network, as well as current situations of the city to ensure operability. MSPA is a morphological spatial pattern analysis approach that divides the green space into seven categories that do not overlap each other through a series of image operations, which can quickly identify the important structural elements relating to the GI network. "Space syntax" proposes a series of morphological variables, such as "connection value", "depth value", "integration degree", "comprehension value", which are quantitative descriptions of the spatial structure. The combination of them can provide a new perspective for the spatial configuration quantization and spatial priority recognition of GI. In order to provide new modeling and analysis concepts for the construction and management of urban green infrastructure network, this paper takes Pukou District of Nanjing being rapid urbanization now as an example. Firstly, selecting the habitat patch with the greatest contribution to maintain landscape connectivity as hubs of the green infrastructure network through applying the MSPA method combined with the landscape connectivity index. Then constructing the potential GI corridors through applying the minimum green path method. Thirdly, identifying the priority of "Green Trail" from the perspective of spatial accessibility using the space syntax, and optimizing and controlling GI network planning combined with the urban ecological red line and green space system planning. Finally proposing optimization approach to green network for spatial structures that make the construction of GI network more scientific and easier to implement in a focused and staged path. The results show that:(1) Pukou District is the core area of Nanjing Jiangbei New District(National New District), Where has a big gap for urban construction land use and it is not practical to carry out completely the urban ecological construction on large scale. Therefore, it is economically feasible to use the existing resources to optimize the urban green infrastructure network by extracting important core areas and bridge areas through the MSPA method.(2) The syntax variables, such as "general integration value" and "choice", are used as quantitative values to evaluate the priority of GI spatial structure based on the theory of space syntax. These variables provided an important reference for the network optimization of GI. The method combining MSPA, landscape connectivity and space syntax quantifies the spatial characteristics and provides a new research path for network optimization of urban green infrastructure. The research would do good to understand the spatial distribution and priority assessment for green infrastructure network planning, and provide a model for other cities in the course of rapid urbanization to build ecological security patterns and green space systems in urban areas.

【基金】 国家重点研发计划课题(2017YFC0505705)
  • 【文献出处】 生态学报 ,Acta Ecologica Sinica , 编辑部邮箱 ,2019年04期
  • 【分类号】TU984.2
  • 【被引频次】29
  • 【下载频次】1318
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