scholarly journals Temporal Changes of Per Capita Green Space of Colombo District, Sri Lanka

2016 ◽  
Author(s):  
Lin Li ◽  
Pgrni Pussella
Keyword(s):  
Sri Lanka ◽  
Green Space ◽  
Vital Role ◽  
Green Spaces ◽  
Landsat Images ◽  
Gradual Decline ◽  
Rapid Urbanization ◽  
Per Capita ◽  
Harmful Effects ◽  
Ndvi Differencing

Green spaces take part a vital role in reducing the harmful effects occurred through the process of rapid urbanization. This study focuses on evaluating the change of green space and per capita green space in Colombo District, Sri Lanka in between 2008 and 2015 using Landsat images. The NDVI differencing method and classification method were used to detect the change of land cover. According to the results, a gradual decline of green space from 629.1km2 to 591.16km2 with a rate of 6.03% can be depicted. The change is considerable in Kaduwela, Moratuwa and Maharagama DSDs and quite better in the areas such as Avissawella, Homagama and Padukka. The per capita green space has been decreased from 272.361 m2 to 248.811 m2. Though these rates are very well higher than the UN, EU and WHO standards for the district, Colombo DSD do not comply with UN and EU standards. The case would turn into worst in 2025, as the predictions with current rates. Therefore, the study recommends taking immediate actions to make a greener city. Further, a tax system is proposed to get the attraction of the general public.

scholarly journals Spatiotemporal Dynamics of Green Spaces in the Beijing–Tianjin–Hebei Region in the Past 20 Years

2018 ◽  
Vol 10 (8) ◽  
pp. 2949 ◽  
Author(s):  
Huaizhi Tang ◽  
Wenping Liu ◽  
Wenju Yun
Keyword(s):  
Green Space ◽  
Green Spaces ◽  
Cultivated Land ◽  
Mountainous Areas ◽  
Accurate Identification ◽  
Rapid Urbanization ◽  
The Past ◽  
Spatiotemporal Changes ◽  
Elevation Data ◽  
Peripheral Areas

Rapid urbanization has caused the reduction of green spaces in most cities, disrupting the structure and process of urban and rural ecosystems. The accurate identification of spatiotemporal changes in green spaces is important to delineate future management and planning. We investigated green space types of the Beijing–Tianjin–Hebei region in 1995, 2000, 2005, 2010, and 2015 based on the elevation data and land use/cover for those years. Spatiotemporal changes in these identified green spaces between 1995 and 2015 were evaluated as well as the spatial hotspots of disappeared and unstable green patches. The results indicate that the cultivated land in plains and forests and cultivated land in medium-high mountainous areas were the main green space types in the Beijing–Tianjin–Hebei region during the period from 1995 to 2015. A large number of green spaces, in particular cultivated lands, in the peripheral areas of big cities were replaced by construction sites over the past 20 years. Hotspots of unstable green spaces were mainly distributed in the western and northern mountainous areas of the Beijing–Tianjin–Hebei region, where green spaces changed from one type to another. These findings provide an important reference for the management and planning of land and green spaces towards an integrative and collaborative development of the Beijing-Tianjin-Hebei region.

scholarly journals Analysis situation of urban green space framework in Tehran

Vestnik MGSU ◽  
2021 ◽  
pp. 975-985
Author(s):  
Nina V. Danilina ◽  
Alireza Majorzadehzahiri
Keyword(s):  
Spatial Distribution ◽  
Lorenz Curve ◽  
Green Space ◽  
Concentration Level ◽  
Green Spaces ◽  
Location Quotient ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Level Method ◽  
Per Capita

Introduction. In recent years, the development of cities and the increase in urban population has upset the balance of urban ecology in Iran. The destruction of agricultural fields and natural areas, as well as changes in the function of urban green spaces have caused environmental problems. Therefore, the main purpose of this study is to investigate the distribution of green space in Tehran with an environmental sustainability approach. Materials and methods. The research method is applied in terms of purpose and descriptive-analytical in terms of method. Basic information has been obtained through library studies and Tehran Municipality and using GIS, mathematical and statistical methods such as entropy coefficient, Concentration level method, Lorenz curve, Location quotient (L.Q) method, Distribution quotient (D.Q) method distribution of Tehran green space function were analyzed. Results. The results show the unbalanced and inappropriate spatial distribution of green space and the critical environmental situation in the 22 districts of Tehran. According to the entropy coefficient model, district 18 is the most unbalanced distribution and in contrast, district 2 has the most balanced distribution. The results of the concentration level method based on the value of C obtained for each of the districts showed that districts 4 and 1 with the level of 2.141 and 2.103 have the highest concentration level and other districts have much less concentration level than these districts. The Lorenz curve also indicates that the distribution of urban green spaces in 22 districts of Tehran is different from the uniform distribution, and in some districts, it is higher than the uniform distribution and, in some districts, it is lower, which indicates an unbalanced distribution between the districts. Location quotient (L.Q) method and distribution quotient (D.Q) method also showed that the concentration and density of green space use in different districts of Tehran was inappropriate and unbalanced. Conclusions. This research show that according to the 8 million population in Tehran, its per capita green space is 16.27 square meters and its distribution is unbalanced in 22 districts. Also districts 1 and 22 with a per capita of 33.85 and 58.67 square meters and having 204 and 77 green spaces in the suitable situation and districts 10 and 11 districts with a per capita of 2.58 and 4.96 and having 51 and 30 green spaces are in the unsuitable situation. And according to the statistical methods used, the green space of the districts has an unbalanced spatial distribution. In the 1990s and 2000s, there was a greater tendency for construction in the northern districts and about 45 % of the city’s gardens were destroyed during these years, and most of the destruction occurred in the northern districts.

scholarly journals GREEN INDEXING OF HISAR MUNICIPAL CORPORATION USING GEOSPATIAL TECHNIQUES

2018 ◽  
Vol XLII-5 ◽  
pp. 921-927
Author(s):  
D. Singh ◽  
S. Mondal ◽  
R. S. Hooda
Keyword(s):  
Green Space ◽  
Urban Green Space ◽  
Green Spaces ◽  
World Health ◽  
Support Vector ◽  
Open Spaces ◽  
Relative Deviation ◽  
Rapid Urbanization ◽  
Urban Green ◽  
Urban Green Spaces

<p><strong>Abstract.</strong> Urban Green Space (UGS) enhances the structure of the landscape of a city. It provides economic, social and health benefits to the inhabitants. Rapid urbanization and increase in population has put extreme pressure on urban green spaces. Therefore, mapping of urban green spaces is important to facilitate the urban planning sustainably. This study has been taken up to map the UGS in the Hisar Municipal Corporation (HMC) area of Haryana State constituting an area of 4197.32<span class="thinspace"></span>ha using high resolution LISS-IV data of November, 2017. Three different methods namely (a) Onscreen Digitization (b) Support Vector Machine-based classification (SVM) and (c) Multi Resolution Segmentation (MRS) have been tested to extract the green spaces. The onscreen digitization method has been considered as best method as compared to SVM and MRS because of the intervention of human mind and full control on manual editing. The SVM under estimated the green space for HMC with average relative deviation of 15%. However, it extracted the green area precisely without mixing of open spaces. MRS have given good results in terms of total area (relative deviation was 5%), however, spatial distribution of green spaces have been mixed with open spaces. The study identified the green index of HMC and suggested the suitability and sustainability of the city based on World Health Organization (WHO) defined standards. Green space for Hisar Municipal Corporation was 1690.96<span class="thinspace"></span>ha with average urban green space index of 0.40. Per capita green cover for HMC was 9.69<span class="thinspace"></span>m<sup>2</sup>/inhabitant, which is as per the standard reported by WHO i.e. 9<span class="thinspace"></span>m<sup>2</sup>/inhabitant. Further study may suggest some other algorithm for better results and automatic green space extraction.</p>

scholarly journals Green space: A Luxury or a Necessity? Green Spaces in Condominium Sites in Sri Lanka

2018 ◽  
Vol 3 (1) ◽  
pp. 49
Author(s):  
Nadeeka Jayaweera ◽  
Supun Rodrigo ◽  
Jeyanthi Nadaraja ◽  
Upendra Rajapaksha ◽  
Chathuri Jayasinghe
Keyword(s):  
Sri Lanka ◽  
Green Space ◽  
Green Spaces

scholarly journals Modern Compact Cities: How Much Greenery Do We Need?

2018 ◽  
Vol 15 (10) ◽  
pp. 2180 ◽  
Author(s):  
Alessio Russo ◽  
Giuseppe Cirella
Keyword(s):  
Ecosystem Services ◽  
Urban Design ◽  
Health Risks ◽  
Green Space ◽  
Vital Role ◽  
Compact City ◽  
Urban Green ◽  
Health And Wellbeing ◽  
Mixed Use ◽  
Per Capita

The modern compact city is identified as a high-density and mixed-use pattern. Its features are believed to contribute to a form of functional urban design that supports sustainability and, restresses, the importance of ecosystem services. Urban green space (UGS) plays a vital role in the design and impact on how compact cities have developed and triggered a scientific discord on the amount of greenery individuals require and to what extent contemporary approaches address the question. Research points to at least 9 m2 of green space per individual with an ideal UGS value of 50 m2 per capita. An examination on the perception, use, quality, accessibility and health risks of urban green and blue spaces is explored, alongside the availability of novel UGS and greenery-related approaches that investigate compact city design and planning for health and wellbeing. The amount of ‘green’ and relating UGS availability in cities indicates vital knowledge modern compact cities must consider.

scholarly journals Socio-Demographic Factors Influencing the Extent of Residential Green Spaces in Galle City, Sri Lanka

2021 ◽  
Vol 10 (1) ◽  
pp. 58-83
Author(s):  
Buddhini Chathurika Jayasinghe ◽  
G. P. T. S. Hemakumara ◽  
Piyadasa Hewage
Keyword(s):  
Sri Lanka ◽  
Green Space ◽  
Occupational Status ◽  
Demographic Factors ◽  
Green Spaces ◽  
Rapid Decline ◽  
Relative Value ◽  
Socio Demographic Factors ◽  
Residential Garden

Due to increasing urbanization, the distribution of human settlements is changing and this has led to the rapid decline of vegetation cover in cities and townships. Urbanization tends to decrease the proportion of land that is dedicated to public green spaces. Therefore, residential gardens (private gardens) will need to play a major role in contributing to urban green space in future though presently little attention is given to their relative value and importance. Several factors influence the function of residential gardens in an urban area. The main objective of this paper is to evaluate the socio demographic factors that influence the size and presence of residential green spaces in an urban residential zone. As a case study, this research selected a primary residential zone in Galle City, Sri Lanka. Every housing unit (n=280) in a residential zone was surveyed to collect the data for multiple regression analysis. The analysis showed that factors such as land extent (LE), nature orientation (NO), perceptions about advantages of growing residential greenery (PA), perception about disadvantages resulting from residential garden (PDA), occupational status (husband and wife are not occupied) (D1), and their educational level (higher than degree) (D2) significantly affect to the extent of green area maintained by an urban residence. The relationship between extent of residential green space (EGA) and socio demographic factors can be explained by this model: EGA = 0.091 + 0.003LE + 0.060NO + 0.030PA – 0.040PDA + 0.198D1 + 0.240D2.

The effect of green space behaviour and per capita area in small urban green spaces on psychophysiological responses

2019 ◽  
Vol 192 ◽  
pp. 103637 ◽  
Author(s):  
Wei Lin ◽  
Qibing Chen ◽  
Mingyan Jiang ◽  
Xiaoxia Zhang ◽  
Zongfang Liu ◽  
...  
Keyword(s):  
Green Space ◽  
Green Spaces ◽  
Psychophysiological Responses ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Per Capita

scholarly journals Using GIS Analysis to Assess Urban Green Space in Terms of Real Estate Development

2021 ◽  
Vol 78 (1) ◽  
pp. 36
Author(s):  
Iulia COROIAN ◽  
Mircea Emil NAP ◽  
Ioana Delia POP ◽  
Florica MATEI ◽  
Tudor SĂLĂGEAN ◽  
...  
Keyword(s):  
Real Estate ◽  
Urban Areas ◽  
Green Space ◽  
Economic Benefits ◽  
Real Estate Market ◽  
Green Spaces ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Area Of Interest ◽  
Per Capita

Urban green spaces (UGS) contribute to the development of the ecosystem, especially in crowded urban areas such as cooling effect, air and noise pollution mitigation, recreation, aesthetic pleasure, quality of life and public health, as well as economic benefits, such as raising the price of the real state in the vicinity of UGS. The aim of the paper is to realize a study on green spaces and an urban distribution of the size of a systematic planning of functional and aesthetic qualities. This study examines the distribution and amount of green space, as well as the size and rates per capita are assessed. Even the distribution of distance and the accessibility of green areas throughout the city are closely linked to ensuring recreational needs. Spatial statistics using GIS have made possible the development of correct, coherent explanatory UGS variables such as distance, size, density, connectivity, sight and accessibility. The parks and all green spaces composed of polygons were digitized from the ArcGIS Attribute Table for the evaluation of per capita rates and the execution of a plan to combat the deficit of green spaces. In order to make an assessment of the green spaces, a comparative study of the area of interest from 2010 and 2020 was considered. According to the spatial analyses from ArcGis, during the 10 years, an intense real estate market was developed, affecting the distribution of green spaces per capita.

scholarly journals Urban Public Green Space Equity against the Context of High-Speed Urbanization in Wuhan, Central China

2020 ◽  
Vol 12 (22) ◽  
pp. 9394
Author(s):  
Hongzan Jiao ◽  
Chengcong Li ◽  
Yang Yu ◽  
Zhenghong Peng
Keyword(s):  
High Speed ◽  
Industrial Development ◽  
Green Space ◽  
Urban Expansion ◽  
Spatial Inequality ◽  
Central China ◽  
Green Spaces ◽  
Rapid Urbanization ◽  
The Relationship ◽  
Public Green Space

This study examines the relationship between equity of public green space and urban expansion/sprawl under high-speed urbanization. Equity of urban public green space indicates the degree to which urban public green spaces are distributed spatially in an equal way, with regard to the spatial variation of residents’ “need” for green space. In emerging economies such as China, especially in developing or underdeveloped cities such as Wuhan, central China, rapid urban growth challenges the capacity of the state to provide infrastructure and services for its urbanites equally. In order to research the relationship between industrial development and green space equity under the background of rapid urbanization, the use of quantitative methods to more accurately measure the degree of spatial inequality is essential. In this study, the accessibility of urban public green space in Wuhan is examined based on the two-step floating catchment area method (2SFCA) method at multilevel radius; the urban public green space accessibility of Wuhan in 2013 and 2016 are acquired, and the link between changes in accessibility of urban public green spaces and urban expansion in Wuhan is discussed. It is found that industrial development takes precedence over green space. With its vigorous development, industrial land attracts increasing population, resulting in the drastic decline of the service capacity of green spaces, which is not conducive to the long-term development of the city.

scholarly journals Using SPOT Data and FRAGSTAS to Analyze the Relationship between Plant Diversity and Green Space Landscape Patterns in the Tropical Coastal City of Zhanjiang, China

2020 ◽  
Vol 12 (21) ◽  
pp. 3477
Author(s):  
Xia-Lan Cheng ◽  
Mir Muhammad Nizamani ◽  
C.Y. Jim ◽  
Kelly Balfour ◽  
Liang-Jun Da ◽  
...  
Keyword(s):  
Species Richness ◽  
Plant Diversity ◽  
Green Space ◽  
Urban Green Space ◽  
Landscape Patterns ◽  
Green Spaces ◽  
Rapid Urbanization ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Spot Data

Urban green spaces provide a host of ecosystem services, the quantity and structure of which play an important role in human well-being. Rapid urbanization may modify urban green spaces, having various effects on plant diversity. Tropical coastal cities have urbanized rapidly in recent decades, but few studies have been conducted with a focus on their green spaces. We studied the responses of cultivated and spontaneous plants, both key components of urban flora, to the landscape structure of urban green spaces and possible social drivers. We analyzed existing relationships between plant diversity indices, urban green space landscape metrics (using Systeme Probatoire d’Observation de la Terre (SPOT) data,), and social factors, including the type, population density, construction age, and GPS coordinates of each Urban Functional Unit, or UFU. We found that UFUs with more green space patches had higher cultivated and spontaneous species richness than those with fewer green space patches. Spontaneous species richness decreased when green space patches became fragmented, and it increased when green space patches were more connected (e.g., via land bridges). Conversely, cultivated species richness increased with green space patch fragmentation. The phylogenetic diversity of both cultivated and spontaneous plants were weakly associated with green space structure, which was strongly driven by land use. Old UFUs and those with larger populations had more green space patches overall, although they tended to be small and fragmented. Green space patch density was found to increase as the UFU age increased. From the viewpoint of knowledge transfer, understanding the effects and drivers of landscape patterns of urban green spaces could inform the development of improved policies and management of urban green space areas.

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