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

Author(s):  
Iulia COROIAN ◽  
Mircea Emil NAP ◽  
Ioana Delia POP ◽  
Florica MATEI ◽  
Tudor SĂLĂGEAN ◽  
...  

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.

Vestnik MGSU ◽  
2021 ◽  
pp. 975-985
Author(s):  
Nina V. Danilina ◽  
Alireza Majorzadehzahiri

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.


2016 ◽  
Vol 45 (1) ◽  
pp. 26-43 ◽  
Author(s):  
Jun-Hyun Kim ◽  
Wei Li ◽  
Galen Newman ◽  
Sung-Ho Kil ◽  
Sun Young Park

Many empirical studies assessing the economic benefits of urban green space have continually documented that green space tends to increase both value and sale price of nearby residential properties. Previous studies, however, have not fully captured the quality of neighborhood level landscape spatial patterns on housing prices. To fill this literature gap, this study examined the association between landscape spatial patterns of urban green spaces and single-family home sale transactions using a spatial regression model. The research was conducted through the analysis of 11,326 housing transaction records from 2010 to 2012 in Austin, TX, USA. Variables measuring the structural, locational and neighborhood characteristics of housing were coupled with Geographic Information Systems, remote sensing and FRAGSTATS to calculate several landscape indices measuring the quality of existing landscape spatial patterns. After controlling for any spatial autocorrelation effects, we found that that larger tree and urban forest areas surrounding single-family homes positively contributed to property values, while more fragmented, isolated and irregularly shaped landscape spatial patterns resulted in the inverse. The results of this research increase awareness of the role of urban green spaces while informing community design/planning practices about the linkages between landscape spatial structure and economic benefits.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yilu Gong ◽  
Xueming Li ◽  
Xueping Cong ◽  
He Liu

The fractal nature of urban green spaces is the product of the self-organizing evolution of the complex urban system into a higher stage, and orderly patterns and complex structures of urban green spaces will tend to manifest after they develop to a certain stage. On the basis of GF1 satellite data in 2019 and three fractal models, the complexity of the forms and structures of a green space system in downtown Dalian, China, was studied. The results showed that the boundary dimension measured by the perimeter-scale model was 0.64–1.40, and the boundary dimension measured by the area-perimeter model was 1.79–1.99; these results indicate that the degree of human disturbance in green space boundaries was high, and the stability of the green space spatial structures was poor. The grid dimension measured by the area-scale model was 0.49–1.42, and the average radius dimension measured by the area-radius model was 0.35–0.76; these results indicate that the balance of the spatial distribution of green spaces was low, and the green spaces were excessively concentrated in the city center. Through comparisons of the scaling range among various types of green spaces, the characteristic range (gradient structure) of the spatial distribution of urban green spaces was found, which can reflect the maturity of green space growth and the quality of the green space layout. The gradient structure of green spaces in Dalian was characterized by three gradients, namely, 0–4000 m, 4000–8000 m, and 8000–16,000 m. The development of green spaces in the first gradient zone was the best, and the second and third gradient zones showed relatively large potential for improvement. These research results are of practical significance for guiding the planning and construction of green spaces in urban areas.


Author(s):  
Silvestre García de Jalón ◽  
Aline Chiabai ◽  
Alyvia Mc Tague ◽  
Naiara Artaza ◽  
Amaia de Ayala ◽  
...  

The opening up of green spaces could provide significant benefits to society. This study develops a framework to assess the economic benefits and costs of public interventions providing citizen access to urban green spaces. The Thinking Fadura project in Getxo (Spain) was used as a case study. A method for participatory benefit-cost analysis is developed, where a stakeholder-participatory evaluation is combined with a standard cost-benefit analysis. The participatory evaluation followed a bottom-up approach in a sequential evaluation including three main focal points: key stakeholders and experts, visitors and the general public. The assessment demonstrates that the Thinking Fadura project’s benefits outweigh the costs. The results suggest that projects designed with the purpose of improving green space accessibility to the general public can be beneficial from a societal perspective. The highest economic benefits were an increase in the amenity and recreational value and an increase in people’s physical activity. The participatory evaluation indicates that giving access to people of lower socio-economic status and vulnerable groups and improving recreational use were perceived as the most beneficial. An increase in noise, dirt, and risk of criminal activities as well as potential conflicts between green space users were perceived as the most negative impacts of opening a previously restricted area to the general public. The economic assessment of Thinking Fadura project could serve as a model in the decision-making process in locations where the use of greenspaces is restricted.


Forests ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 876
Author(s):  
Silvija Krajter Ostoić ◽  
Ana Marija Marin ◽  
Martina Kičić ◽  
Dijana Vuletić

Background and Objectives: Cultural ecosystem services of urban green spaces are increasingly important and often recognized as such by people living in urban areas. Qualitative studies on perception of cultural ecosystem services from urban green spaces are still rare. Previous studies addressed only certain types of urban green space and often only some services. There is a lack of understanding how people perceive cultural ecosystem services from different types of tree-based urban green spaces. Hence, the purpose of the study was to explore whether and how people perceive and use cultural ecosystem services of different types of tree-based urban green spaces. Materials and Methods: Focus groups were conducted with citizens in each city district. Interviews were recorded, transcribed and transcripts analyzed in MAXQDA software. We used bottom up code-category-theme approach to analyze the data without predefined set of codes or categories. Results: Place attachment, aesthetic and recreational services were more recognized than educational and cultural identity services. For place attachment, most important single attributes were positive memories, and good maintenance, while most important categories were facilities, existence of emotional ties, possibility of experiences, recreational use and access. Presence of specific tree species and presence of trees in general were most important attributes for aesthetic services, while possibility of experiences and trees were the most important categories. Conclusions: People perceived various cultural ecosystem services from tree-based urban green space, even though some services more than others. Recreation may be the underlying goal of our participants when interacting with tree-based urban nature. Forests, parks were recognized as those providing multiple cultural ecosystem services. However, other types of green spaces were also recognized as bearers of these services, albeit with less services and attributes attached. It supports the importance of careful planning of urban green spaces in terms of providing a variety of green space types. The study provides basis for later quantification of cultural ecosystem services (CES) from tree-based urban green space.


2015 ◽  
Vol 59 (3) ◽  
Author(s):  
Tim Aevermann ◽  
Jürgen Schmude

AbstractUrban green spaces provide ecosystem services that can be used by the local population. The valuation of these ecosystem services in urban areas gives information for stakeholders and decision-makers to improve urban planning processes. In addition, this information can be used to provide a better understanding of how urban green spaces should be managed. In this study, we quantify and monetize four ecosystem services (carbon sequestration and storage, air pollution removal, runoff reduction, groundwater recharge) provided by the urban green space of Schlosspark Nymphenburg in Munich, Germany. We classify four different land cover types (tree, grass/herbaceous, water, impervious) to calculate different amounts of ecosystem services according to the land cover type. In addition, we quantify the maintenance costs which this urban green space causes to the city of Munich. The interpretation, communication and risks of valuations studies are discussed.


2020 ◽  
Vol 26 (2) ◽  
pp. 80
Author(s):  
Prita Indah Pratiwi ◽  
Minseo Kim ◽  
Katsunori Furuya

AbstractIn Japan, where most of the population now comprises elderly people, various social problems have emerged, including lack of workers, inadequate care for elderly people, lower birthrate, the abandonment of local areas, and lack of community. In highly populated urban areas, city planners propose sustainable landscape planning but sometimes ignore the public, eliminating their sense of place. This study aimed to clarify the differences in green space perception between residents of danchi and apartments in Tokiwadaira, Matsudo, to learn what residents’ attributes may influence their perceptions, and to formulate factors of recognition and awareness of urban green spaces. The research was conducted in three stages: a recognition and awareness survey, analysis, and interpretation. A Mann-Whitney U test and Welch’s t test were applied to examine significant differences in perception level; a Chi-square test was applied to examine the relationship between residents’ attributes and volunteering activity; finally, factor analysis was applied to characterize residents’ recognition and awareness of nature and green spaces. The results demonstrated three significant differences regarding the benefits of green spaces between danchi and apartment residents, and five significant differences in their interest in green spaces. The attributes influencing danchi residents’ perceptions were gender and age, while those influencing apartment residents were age, existence of children, employment status, length of stay, and existence of green spaces. The three factors accounting for residents’ interest in green spaces and nature were: high recognition and awareness, moderate recognition and awareness, and low recognition and awareness. The results may prove useful as guidance for specific local governments in relation to urban green space planning and design. AbstrakDi Jepang di mana sebagian besar penduduknya terdiri atas orang lanjut usia, berbagai masalah sosial telah terjadi, seperti kurangnya tenaga kerja, perawatan bagi orang lanjut usia yang rendah, kelahiran anak-anak yang rendah, terabaikannya daerah setempat, dan kurangnya komunitas. Di daerah perkotaan yang berpenduduk padat, perencana kota mengusulkan perencanaan lanskap berkelanjutan, tetapi terkadang mengabaikan publik dan menghilangkan makna tempat mereka. Penelitian ini bertujuan untuk memperjelas perbedaan persepsi ruang hijau antara penghuni di kompleks rumah susun semi publik dan apartemen di Tokiwadaira, Matsudo, untuk mengetahui atribut penghuni yang dapat mempengaruhi persepsi mereka, dan untuk merumuskan faktor-faktor pengenalan dan kesadaran akan ruang hijau perkotaan. Penelitian ini dilakukan dalam tiga tahap: survei kesadaran dan pengenalan, analisis, dan interpretasi. Uji Mann-Whitney U dan Welch's t digunakan untuk menguji perbedaan level persepsi yang signifikan antara penghuni danchi dan apartemen. Uji Chi-square digunakan untuk menguji hubungan antara atribut penghuni dan kegiatan sukarela, terakhir analisis faktor digunakan untuk mengkarakterisasi pengenalan dan kesadaran penghuni terhadap alam dan ruang hijau. Hasil penelitian menunjukkan bahwa terdapat tiga perbedaan signifikan mengenai manfaat ruang hijau di antara penghuni danchi dan apartemen, dan lima perbedaan signifikan terhadap minat ruang hijau. Atribut yang mempengaruhi persepsi penduduk danchi adalah gender dan usia, sedangkan hal-hal yang mempengaruhi penghuni apartemen adalah usia, keberadaan anak, status pekerjaan, lama tinggal, dan keberadaan ruang hijau. Tiga faktor yang menentukan minat penghuni terhadap alam dan ruang hijau di antaranya: pengenalan dan kesadaran yang tinggi, pengenalan dan kesadaran yang sedang, serta pengenalan dan kesadaran yang rendah. Hasil penelitian ini dapat berguna sebagai panduan perencanaan dan desain ruang hijau kota untuk pemerintah lokal.


2019 ◽  
Vol 192 ◽  
pp. 103637 ◽  
Author(s):  
Wei Lin ◽  
Qibing Chen ◽  
Mingyan Jiang ◽  
Xiaoxia Zhang ◽  
Zongfang Liu ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
H.M.L.P. Karunarathne ◽  
U.A.D.P. Gunawardena

Urban green spaces could bring cities and their inhabitants with vitality in terms of ecological, social, and economic benefits. Recognising and estimation of economic values of parks is important for their sound management and for justification of the current use over various alternative uses. Non recognition of values of the services of such green spaces may lead to unsound management and degradation resulting in depriving urban communities of those benefits. Viharamahadevi Urban Park is the oldest and largest park in Colombo which offers recreation and green space to the inhabitants and visitors of the city. The purpose of this study is to estimate the recreational value of the Park using Individual Travel Cost Method (ITCM). Visitors of Viharamahadevi Urban Park selected using purposive sampling method were interviewed with a structured questionnaire. Data on visitation frequencies, preferences for park characteristics and socio economic parameters were collected using face-to-face interviews. In order to cater for the data issues of the ITCM, a zero truncated negative binomial regression analysis was performed in estimating the demand function. Results indicate that household income and the enjoyment of the visitors significantly and positively determine the number of visits made by the people. The annual social welfare generated from the recreational value of the Viharamahadevi Park is LKR 55.7 billion. The estimated value will be able to provide significant guidance towards future park management decisions.


Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 813
Author(s):  
Hui Dang ◽  
Jing Li ◽  
Yumeng Zhang ◽  
Zixiang Zhou

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.


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