scholarly journals Optimization Strategy of Landscape Ecological Planning in Urban Green Space System

2020 ◽  
Vol 474 ◽  
pp. 072005
Author(s):  
Guang Zhu ◽  
Linyan Huang ◽  
Zihan Zhang
Keyword(s):  
Green Space ◽  
Urban Green Space ◽  
Optimization Strategy ◽  
Ecological Planning ◽  
Space System ◽  
Urban Green ◽  
Landscape Ecological Planning ◽  
Landscape Ecological

Study on Urban Green Space System Planning Based on Ecological Suitability Evaluation: A Case of Luancheng City in China

2011 ◽  
Vol 368-373 ◽  
pp. 1788-1793
Author(s):  
Shi Guang Shen ◽  
Hao Wang ◽  
Jun Fei Wen ◽  
Si Hui Wang ◽  
Chen Jing Fan
Keyword(s):  
Green Space ◽  
Evaluation Model ◽  
Subjective Evaluation ◽  
Urban Green Space ◽  
Suitability Analysis ◽  
Space System ◽  
System Planning ◽  
Urban Green ◽  
Suitability Evaluation ◽  
Ecological Suitability

For a long time, planners get used to apply qualitative analysis and subjective knowledge to define urban green space system. Lacking support of quantitative analysis, the incomplete inventory will result in subjective evaluation, low pertinence. And the required depth and level for planning will not be strong enough. This study strives for introduce ecological suitability evaluation to urban green space system, derives the supporting theory, framework, and evaluation model. By using GIS, Luancheng green space system is generated based on the ecological suitability analysis. Also, this study shows that green space system planning is more operational and reliable based on ecological suitability evaluation.

Planning Vegetation on Rural-Urban Fringes for the Green Space System of Extended Built-up Area: Strategies and Measures

2011 ◽  
Vol 368-373 ◽  
pp. 1858-1861
Author(s):  
Zhao Xian Gong ◽  
Yi Deng
Keyword(s):  
Green Space ◽  
Planning Process ◽  
Transition Period ◽  
Ecological Assessment ◽  
Urban Green Space ◽  
Planning System ◽  
Space System ◽  
Urban Green ◽  
Planning Strategies ◽  
Vegetation Patches

Urban green space is vital for the livability of a city. It is important how to utilize the vegetation on rural-urban fringes to improve the green space system of an extended built-up area. In this paper, based on the analysis of the features about vegetation on fringes in its types, dynamics, and potentials, it is argued that keeping the vegetation patches be much more indigenous, well distributed and connected, and remain this status during all the transition period should be included in the planning goals at all levels; and all the planning efforts need to be taken through an approach integrated into the planning system according to particular type or level planning could take. Some key planning strategies or measures were developed, which include functioning with the ecological potentials, embedding the ecological assessment through all the planning process, and more detailed in planning.

A MSPA-Based Approach of Urban Green Space System Planning

2012 ◽  
Vol 518-523 ◽  
pp. 5972-5979
Author(s):  
Qing Chang ◽  
Yao Qiu ◽  
Xue Li ◽  
Jian Sheng Wu
Keyword(s):  
Green Infrastructure ◽  
Green Space ◽  
Life Support ◽  
Urban Green Space ◽  
Green Spaces ◽  
Spatial Pattern Analysis ◽  
Space System ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Land Use Decisions

Urban green spaces are considered as the life support system in a city, if systematically planned, developed, and maintained, they may provide various ecosystem services in a sustainable way. By integrating the morphological spatial pattern analysis (MSPA) and the green infrastructure (GI) network based on GIS, this study provided an urban green space planning method to guide urban sustainable spatial development and land use decisions in the Longgang District of Shenzhen in China. The approach has a robust performance in identifying the vital hubs and linkages in the urban green space system. It is hoped that this plan model based on MSPA, the function connectivity of urban green spaces could be farther strengthened so that some key zones in landscape pattern could be protected in the future development.

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