Spatial variation of green space equity and its relation with urban dynamics: A case study in the region of Munich

Xu, Chao; Haase, Dagmar; Pribadi, Didit Okta; Pauleit, Stephan

doi:10.1016/j.ecolind.2018.05.024

Cited by 94 publications

(57 citation statements)

References 71 publications

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“…Access to green spaces as components of environmental justice has got much attention from scholars and urban planners. Many studies have examined the disparity between the provision of urban green spaces and demand populations from the perspective of socio-economic status and demographics around the world [23,27,28,29,30]. For example, Boone et al found that the whites are provided with more park acreage within walking distance than the blacks in Baltimore, Maryland [23].…”

Section: Introductionmentioning

confidence: 99%

Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China

Ren

et al. 2019

IJERPH

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Urban green spaces play a critical role in public health and human wellbeing for urban residents. Due to the uneven spatial distribution of urban green spaces in most of cities, the issue of the disparity between supply and demand has aroused public concern. In a case of Shenzhen, a modified Gaussian-based two-step floating catchment area (2SFCA) method is adopted to evaluate the disparity between park provision and the demanders in terms of accessibility at hierarchical levels under four types of distance (e.g., Euclidean distance, walking distance, bicycling distance, and driving distance), which is well aligned with hierarchical systems in urban green spaces in urban planning practice. By contrast and correlation analysis, among the four types of distance, the statistical correlations are relatively high between Euclidean distance and the other three. Nonetheless, the pattern of spatial accessibility under different type of travel distance is apparently variant. Accessibility calculated by Euclidean distance is overestimated relative to that of the other three, while the pattern of walking distance and bicycling distance is similar to each other. The choice of type of distance is worthy of caution when evaluating spatial accessibility by 2SFCA method. Results show that the accessibility to parks at all hierarchical levels is high particularly, particularly at the natural level. However, the disparity between the supply and demand is significant. The percentage of communities that have high population density but low park accessibility is over 40% (equivalent to approximately 55% of the population). The finding may provide implications on access to urban greens paces for urban planners and authorities to develop effective planning strategies.

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Section: Introductionmentioning

confidence: 99%

Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China

Ren

et al. 2019

IJERPH

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“…Urban green space system planning often lags behind urban master planning and often does not consider the coexistence and connection of various land use classification systems. As a result, urban green space system planning can be particularly passive and negative [11,12]. At present, due to rapid urbanization, the demands of the natural environment and the development intensity of various types of urban land use are rapidly changing.…”

Section: Introductionmentioning

confidence: 99%

The Development Simulation of Urban Green Space System Layout Based on the Land Use Scenario: A Case Study of Xuchang City, China

Liu

Zhang

2019

Sustainability

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The development and evolution of an urban green space system is affected by both natural effects and human intervention. The simulation and prediction of an urban green space system can enhance the foresight of urban planning. In this study, several land use change scenarios of the main urban area of Xuchang City were simulated from 2014 to 2030 based on high-resolution land use data. The layout of each scenario was evaluated using landscape indexes. A Cellular Automata–based method (i.e., future land use simulation, FLUS) was applied to develop the urban green space system, which we combined with urban land use evolution. Using recent data, the FLUS model effectively dealt with the uncertainty and complexity of various land use types under natural and human effects and solved the dependence and error transmission of multiperiod data in the traditional land use simulation process. The root mean square error (RMSE) of probability of the suitability occurrence module and the Kappa coefficient of the overall model simulation accuracy verification index both met accuracy requirements. It was feasible to combine the evolution of the urban green space system with urban land development. Moreover, under the Baseline Scenario, the urban land use layout was relatively scattered, and the urban green space system showed a disordered development trend. The Master Plan Scenario had a compact urban land use layout, and the green space system was characterized by networking and systematization, but it did not consider the service capacity of the green space. The Planning Guidance Scenario introduced constraint conditions (i.e., a spatial development strategy, green space accessibility, and ecological sensitivity), which provided a more intensive and efficient urban space and improved the service function of the green space system layout. Managers and planners can evaluate the urban future land use development mode under different constraints. Moreover, they would be able to adjust the urban planning in the implementation process. This work has transformed the technical nature of the planning work from “static results” to a “dynamic process”.

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“…Furthermore the quality of urban environment and presence of vegetation plays a major role in many aspect of climatic modification such as regulation of temperature extremes, reduction of wind velocity, reduction of pollutants, mitigation of the urban heat island effect, maintenance of ecological balance, protection of biodiversity, promotion of the quality of life and environmental-gentrification (Aronson et al 2017;Gunnarsson et al 2017;Lee et al 2017;Hwang et al, 2018;Rupprecht and Byrne, 2018) Over all urban green space contributes to the sustainable development of the urban ecosystem (Xu et al 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Rapid urbanization and the human activity has highly modified and transformed the urban environment, landscape heterogeneity, function and its uses (Vitousek et al 1997;Song et al 2017;Xu et al 2018). The existence of the green space in an urban fabric or within a city is therefore complex to study and liable to degrade with high rate.…”

Section: Introductionmentioning

confidence: 99%

“…The existence of the green space in an urban fabric or within a city is therefore complex to study and liable to degrade with high rate. This has led to loss of urban green cover that has not only threatens the urban climate and the ecosystems, but has also effected the city's image and the residential satisfaction (Wolch et al 2014;Xu et al 2018). The maintenance and development of urban vegetative area and its sustainable growth due to the fast growing cities is a major challenge for many countries (Xu et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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Green Indexing of Hisar Municipal Corporation Using Geospatial Techniques

Singh

Mondal

Hooda

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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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 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 ha with average urban green space index of 0.40. Per capita green cover for HMC was 9.69 m 2 /inhabitant, which is as per the standard reported by WHO i.e. 9 m 2 /inhabitant. Further study may suggest some other algorithm for better results and automatic green space extraction.This contribution has been peer-reviewed. https://doi.org/10.5194/isprs-archives-XLII-5-921-2018 | This contribution has been peer-reviewed. https://doi.org/10.5194/isprs-archives-XLII-5-921-2018 | © Authors 2018. CC BY 4.0 License.

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Spatial variation of green space equity and its relation with urban dynamics: A case study in the region of Munich

Cited by 94 publications

References 71 publications

Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China

Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China

The Development Simulation of Urban Green Space System Layout Based on the Land Use Scenario: A Case Study of Xuchang City, China

Green Indexing of Hisar Municipal Corporation Using Geospatial Techniques

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