Research of urban green space distribution based on convex programming model

2014 ◽  
Author(s):  
Yue Xiao-ning ◽  
Wu Meng-xiang ◽  
Ding Yue
Keyword(s):  
Convex Programming ◽  
Green Space ◽  
Programming Model ◽  
Urban Green Space ◽  
Space Distribution ◽  
Urban Green

scholarly journals ASSESSING URBAN GREEN SPACE DISTRIBUTION IN A COMPACT MEGACITY BY LANDSCAPE METRICS

2017 ◽  
Vol 25 (1) ◽  
pp. 64-74 ◽  
Author(s):  
Huilin LIANG ◽  
Di CHEN ◽  
Qingping ZHANG
Keyword(s):  
Landscape Metrics ◽  
Green Space ◽  
Urban Green Space ◽  
Space Distribution ◽  
Compact City ◽  
Spatial Metrics ◽  
Urban Green ◽  
Innovative Method ◽  
Research Gap ◽  
And Cluster Analysis

The pattern and structure of urban green space (UGS) plays a significant role in the landscape and ecological quality (LEQ) of UGS, especially in a compact city with limited space. Based on landscape metrics, this study proposes an innovative method to quantify the effects of UGS pattern and structure on LEQ. Taking Shanghai, China as the study area, we calculated all landscape-level spatial metrics in FRAGSTATS, used correlation analysis in SPSS for data reduction, and adopted factor analysis and cluster analysis to statistically analyze the metrics and assesse the LEQ of UGS. These methods bridge the research gap of UGS distribution assessment for LEQ value by landscape metrics. Results showed that new districts usually have higher LEQ of UGS than old towns. Of the 17 districts in Shanghai, Chongming has the highest LEQ of UGS and Hongkou has the lowest. For the UGS pattern and structure, the eight old towns are similar, in contrast to the new districts of Chongming and Pudong, which are more dissimilar than the other districts for LEQ of UGS. The findings could help compact cities having limited UGS to develop and achieve better LEQ.

scholarly journals Urban Green Space Arrangement for an Optimal Landscape Planning Strategy for Runoff Reduction

Land ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 897
Author(s):  
Byungsun Yang ◽  
Dongkun Lee
Keyword(s):  
Green Infrastructure ◽  
Urban Areas ◽  
Green Space ◽  
Water Cycle ◽  
Urban Green Space ◽  
Space Distribution ◽  
Urban Water ◽  
Stormwater Treatment ◽  
Urban Green ◽  
Urban Water Cycle

Increased impervious surfaces due to urbanization have reduced evaporation and infiltration into the soil compared with existing natural water cycle systems, which causes various problems, such as urban floods, landslides, and deterioration of water quality. To effectively solve the urban water cycle issue, green infrastructure using urban green space has emerged to reduce runoff and increase evaporation. It has the advantage of restoring the water cycle system of urban areas by complementing the failure of conventional stormwater treatment systems. However, urban areas under high-density development have limited green space for stormwater treatment. Hence, it is necessary to efficiently utilize street trees and small green spaces to improve the urban water cycle through green space. In this study, we simulated different green space distribution scenarios in the virtual domain to find the optimal strategy of green space planning. Compared to clustered scenarios, dispersed green space distribution scenarios and placing green space downstream were more effective in reducing the runoff amount. The paper provides insights into the considerations for determining green space spatial plan and zoning regulations for stormwater treatment by green infrastructure.

scholarly journals Carbon Sequestration Capability Analysis of Urban Green Space Using Geospatial Data

2018 ◽  
Vol 73 ◽  
pp. 03009
Author(s):  
Linda Azaria ◽  
Adi Wibowo ◽  
Iqbal Putut Ash Shidiq ◽  
Rokhmatuloh
Keyword(s):  
Open Space ◽  
Green Space ◽  
Anthropogenic Activities ◽  
Urban Green Space ◽  
Space Distribution ◽  
Primary Sources ◽  
Area Index ◽  
Urban Green ◽  
Ground Measurement ◽  
Capability Analysis

Indonesia is the world’s sixth largest producer of Carbon Dioxide (CO2) emissions. Jakarta is one of the cities in Indonesia with the highest amount of CO2 emission, due to the growing number of population within the city. Anthropogenic activities in the form of industry, transportation, and housing have become one of the primary sources of CO2 emission. The emission is an urban natural hazard, and it needs to addressed immediately. Green open space is the fundamental solution to this problem. The presence of urban green space will reduce the amount of CO2 emission. Unfortunately, the extent of reduction remains unclear, especially in South Jakarta. The study aims to analyze the capability of urban green space in sequestering CO2 from anthropological aspects such as some population and vehicle in South Jakarta. The sequestration capability of each green open space is measured using the Leaf Area Index generated from remote sensing imagery. The CO2 emission was calculated from some population and the number of vehicles collected from statistical data and ground measurement, respectively. The result shows that green open space distribution significantly correlated with the CO2 sequestration (with the value of 0.79). This study shows that the number of urban green space is one of the solutions to reduce CO2 emissions.

scholarly journals Urban Green Space Distribution Related to Land Values in Fast-Growing Megacities, Mumbai and Jakarta–Unexploited Opportunities to Increase Access to Greenery for the Poor

2020 ◽  
Vol 12 (12) ◽  
pp. 4982 ◽  
Author(s):  
Yun Hye Hwang ◽  
Ivan Kurniawan Nasution ◽  
Deepika Amonkar ◽  
Amy Hahs
Keyword(s):  
Green Space ◽  
Wealth Inequality ◽  
Urban Green Space ◽  
Space Distribution ◽  
Vegetation Coverage ◽  
Land Values ◽  
Land Value ◽  
Urban Green ◽  
The Poor ◽  
The Relationship

Many studies on disparities in the distribution of urban green space (UGS) focus on the quantity and accessibility of designated open spaces. However, when all types of UGS, including unmanaged green areas, are accounted for, claims of green space distributive injustice become more complicated. We conducted a preliminary investigation questioning the common Global North assumption that the poor have less access to the benefits of green space, using the cities of Mumbai and Jakarta as case studies as, in their respective countries, wealth inequality has grown at a higher rate than in other Asian countries. We employed four sets of geospatial data to analyze green space distribution patterns and probe the relationship with UGS inequity in different land value districts. We found that the lower land value districts had more vegetation coverage with a higher vegetation density, mainly due to a large quantity of unmanaged greenery. The relationship between the status of urban development and the land values in a district is not necessarily reflective of the UGS distribution once unmanaged vegetation is considered. We conclude by discussing ways to optimize the use of unmanaged UGS as a socioecological asset for poorer districts, and we point to the practical consequences of incorporating the study’s findings into policy and planning towards the creation of ecologically inclusive cities.

scholarly journals Evaluation of the Equity and Regional Management of Some Urban Green Space Ecosystem Services: A Case Study of Main Urban Area of Xi’an City

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 813
Author(s):  
Hui Dang ◽  
Jing Li ◽  
Yumeng Zhang ◽  
Zixiang Zhou
Keyword(s):  
Ecosystem Services ◽  
Carbon Sequestration ◽  
Urban Areas ◽  
Green Space ◽  
Well Being ◽  
Urban Green Space ◽  
Green Spaces ◽  
Deposition Flux ◽  
Urban Green ◽  
Xi’An City

Urban green spaces can provide many types of ecosystem services for residents. An imbalance in the pattern of green spaces leads to an inequality of the benefits of such spaces. Given the current situation of environmental problems and the basic geographical conditions of Xi’an City, this study evaluated and mapped four kinds of ecosystem services from the perspective of equity: biodiversity, carbon sequestration, air purification, and climate regulation. Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP) was used to obtain the partition groups of ecosystem services. The results indicate that first, the complexity of the urban green space community is low, and the level of biodiversity needs to be improved. The dry deposition flux of particulate matter (PM2.5) decreases from north to south, and green spaces enhance the adsorption of PM2.5. Carbon sequestration in the south and east is higher than that in the north and west, respectively. The average surface temperature in green spaces is lower than that in other urban areas. Second, urban green space resources in the study area are unevenly distributed. Therefore, ecosystem services in different areas are inequitable. Finally, based on the regionalization of integrated ecosystem services, an ecosystem services cluster was developed. This included 913 grid spaces, 12 partitions, and 5 clusters, which can provide a reference for distinct levels of ecosystem services management. This can assist urban managers who can use these indicators of ecosystem service levels for planning and guiding the overall development pattern of green spaces. The benefits would be a maximization of the ecological functions of green spaces, an improvement of the sustainable development of the city, and an improvement of people’s well-being.

scholarly journals Urban green space soundscapes and their perceived restorativeness

2021 ◽  
Author(s):  
Konrad Uebel ◽  
Melissa Marselle ◽  
Angela J. Dean ◽  
Jonathan R. Rhodes ◽  
Aletta Bonn
Keyword(s):  
Green Space ◽  
Urban Green Space ◽  
Urban Green
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