scholarly journals Evaluation of Street in Luohu District of Shenzhen on Semantic of Street Image

2021 ◽  
Vol 2 (2) ◽  
pp. 60-67
Author(s):  
YIRAN CHAN

Based on the theoretical extension of the greening vision and the application practice of streetscape big data, the average green vision rate within the planned green area coverage block of Luohu District, Shenzhen is calculated by PHOTOSHOP and FCN software, and the differences in spatial distribution and current status characteristics between its 3D green vision rate and the management unit control guidance map of Shenzhen Green Space System Planning (2014-2030) are explored, and the results show that the green space rate in the main urban area of Luohu District, Shenzhen is 36.78%, which is much better than the average level of major cities in the world, but there is still a gap compared with the management unit control guidance map of Shenzhen Green Space System Planning (2014-2030), and this paper proposes optimization suggestions for the current deficiency.

2014 ◽  
Vol 641-642 ◽  
pp. 537-543
Author(s):  
Chen Wang ◽  
Yuan Xu Meng

Green space system planning is the most direct method to improve urban ecological environment from the perspective of planning. However, traditional way of green space system planning exposes its limitation of paying attention to only urban area, accompanied by the prominent appeal for the enhancement of urban ecological environment and living environment quality. Therefore, the study gives a preliminary discussion on the method of green spaces system planning based on GI theory by introducing the concept and characteristic of GI, and proposes urban-rural integrated green space environment formed by the organic combination of Hubs, Links, and Sites and an urban green space system able to keep the integrality and consecutiveness of natural ecological process, which offers reference for green space system planning of the new era.


2011 ◽  
Vol 368-373 ◽  
pp. 1788-1793
Author(s):  
Shi Guang Shen ◽  
Hao Wang ◽  
Jun Fei Wen ◽  
Si Hui Wang ◽  
Chen Jing Fan

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.


2014 ◽  
Vol 641-642 ◽  
pp. 502-505 ◽  
Author(s):  
Li Juan Guo ◽  
Shu Ting Li ◽  
Hong Qing Sun

Small towns in cold region own special ecological environment. Aiming at their particular climate characteristics, the green space system planning of small towns in cold region was studied. Through analyzing the problems of the green space system planning of small towns in cold region, the study proposes five levels planning strategy, including developing the regional integrated green space system planning of small towns in cold region, building the stable green network structure of town, improving quantity and quality of green space of small towns in cold region, strengthening winter landscape construction of small towns in cold region, and inheriting ice and snow culture of small towns in cold region, in order to promote the sustainable development of green space system planning of small towns in cold region.


2012 ◽  
Vol 174-177 ◽  
pp. 2298-2301
Author(s):  
Ling Yun Fan

Using remote sensing(RS) technique, this paper attempts to extract the greenbelt information in city and countryside of Suzhou in 1986, 1998 and 2006.Based on the data statistics of RS, it also analyzes the spatial sequence feature of Suzhou greenbelt ecological network evolving in the process of urban and rural integration from the spatial distribution, quantity change and reducing speed of green space, to provide basic information for greenbelt system planning of urban and rural integration, and foundation for space governance and spatial planning in city and rural area.


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