scholarly journals The Spatial Optimization and Evaluation of the Economic, Ecological, and Social Value of Urban Green Space in Shenzhen

2020 ◽  
Vol 12 (5) ◽  
pp. 1844 ◽  
Author(s):  
Yuhan Yu ◽  
Wenting Zhang ◽  
Peihong Fu ◽  
Wei Huang ◽  
Keke Li ◽  
...  
Keyword(s):  
Land Surface ◽  
Green Space ◽  
Economic Value ◽  
Housing Prices ◽  
Spatial Optimization ◽  
Urban Green Space ◽  
Social Value ◽  
Urban Systems ◽  
Ecological Value ◽  
Urban Green

Urban green space (UGS) is important in urban systems, as it benefits economic development, ecological conservation, and living conditions. Many studies have evaluated the economic, ecological, and social value of UGS worldwide, and spatial optimization for UGS has been carried out to maximize its value. However, few studies have simultaneously examined these three values of UGS in one optimization system. To fill this gap, this study evaluated the economic value of UGS in terms of promoting housing prices, its ecological value through the relief of high land surface temperature (LST), and its social value through the provision of recreation spaces for residents within a 255 m distance. Subsequently, these three values were set as objectives in a genetic algorithm (GA)-based multi-objective optimization (MOP) system. Shenzhen was taken as the case study area. The results showed that the influencing distance of UGS in Shenzhen for house prices was 345 m, and the influencing distance of UGS for LST was 135 m. Using MOP, the Pareto solutions for increasing UGS were identified and presented. The results indicate that MOP can simultaneously optimize UGS’s economic, ecological, and social value.

Separate and combined effects of 3D building features and urban green space on land surface temperature

2021 ◽  
Vol 295 ◽  
pp. 113116
Author(s):  
Bo Yuan ◽  
Liang Zhou ◽  
Xuewei Dang ◽  
Dongqi Sun ◽  
Fengning Hu ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Green Space ◽  
Urban Green Space ◽  
Combined Effects ◽  
Urban Green

scholarly journals Integrating Quantity and Quality to Assess Urban Green Space Improvement in the Compact City

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1367
Author(s):  
Shanshan Chen ◽  
Dagmar Haase ◽  
Bing Xue ◽  
Thilo Wellmann ◽  
Salman Qureshi
Keyword(s):  
Land Surface ◽  
Green Space ◽  
Land Use Changes ◽  
Urban Ecosystems ◽  
Urban Green Space ◽  
Hotspot Analysis ◽  
Local Conditions ◽  
Urban Green ◽  
Neighbourhood Scale

Urban green space (UGS) has gained much attention in terms of urban ecosystems and human health. Measures to improve green space in compact cities are important for urban sustainability. However, there is a knowledge gap between UGS improvement and planning management. Based on the integration of quantity and quality, this research aims to identify UGS changes during urban development and suggest ways to improve green space. We analyse land use changes, conduct a hotspot analysis of land surface temperature (LST) between 2005 and 2015 at the city scale, and examine the changes in small, medium and large patches at the neighbourhood scale to guide decision-makers in UGS management. The results show that (i) the redevelopment of urban brownfields is an effective method for increasing quantity, with differences depending on regional functions; (ii) small, medium and large patches of green space have significance in terms of improving the quality of temperature mitigation, with apparent coldspot clustering from 2005 to 2015; and (iii) the integration of UGS quality and quantity in planning management is beneficial to green space sustainability. Green space improvement needs to emphasize the integration of UGS quantity and quality to accommodate targeted planning for local conditions.

scholarly journals THE EFFECT OF GREEN SPACE ON THE LAND SURFACE TEMPERATURE IN HUE CITY

2018 ◽  
Vol 55 (4C) ◽  
pp. 129
Author(s):  
Nguyen Bac Giang
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Urban Areas ◽  
Green Space ◽  
Satellite Image ◽  
Urban Green Space ◽  
Landsat 8 ◽  
Urban Green ◽  
Study Results

This paper presents the analysis of the effect of urban green space types on land surface temperature in Hue city. Data are collected with temperature monitoring results from each green space type and the interpretation of surface temperature based on Landsat 8 satellite image data to determine temperatures at different times of the year. Results showed that there was a significant correlation between types of urban green space and the surface temperature. Types of green space with a large area and vegetation indexes have a greater effect on temperature than areas with a smaller green space do. Green space types including forest green space, dedicated green space and agriculture green space have the most effect on the surface temperature. The forest area has the greatest influence on the temperature with a temperature difference of more than 1.6 degrees Celsius at 9:00 in the daytime. Besides, the results extracted from satellite images also show that the area of urban green space going to be reduced makes a contribution to increase the surface temperature of urban areas. The study results have established foundation for planning the green spaces in climate change challenges in Hue City.

Impact of Urban Green Space on Residential Housing Prices: Case Study in Shenzhen

2015 ◽  
Vol 141 (4) ◽  
pp. 05014023 ◽  
Author(s):  
Jiansheng Wu ◽  
Meijuan Wang ◽  
Weifeng Li ◽  
Jian Peng ◽  
Li Huang
Keyword(s):  
Green Space ◽  
Housing Prices ◽  
Urban Green Space ◽  
Residential Housing ◽  
Urban Green

scholarly journals Urban Green Space Growth Impact on Surface Temperature Distribution

2018 ◽  
Vol 3 (10) ◽  
pp. 198-207
Author(s):  
Siti Nor Afzan Buyadi ◽  
Wan Mohd Naim Wan Mohd ◽  
Alamah Misni
Keyword(s):  
Urban Development ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Green Space ◽  
Publishing House ◽  
Urban Green Space ◽  
Mature Trees ◽  
Commercial Development ◽  
Urban Green

Trees and vegetation play a vital role to mitigate urban heat island (UHI) effects. Land use, vegetation growth detection and land surface temperature (LST) maps of two different dates are generated from Landsat 5 TM (1991 and 2009) in the city of Shah Alam. The conversion of natural green areas into residential and commercial development significantly increases the LST. The result reveals that mature trees in urban green space help to mitigate the effects of UHI as well as to sustain the urban development. Keywords: trees; land surface temperature (LST); urban; development. eISSN 2514-751X © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/aje-bs.v3i10.327

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