Urban green space optimization based on a climate health risk appraisal – A case study of Beijing city, China

Huang, Huanchun; Yang, Hailin; Chen, Yilun; Chen, Tunong; Bai, Lin; Peng, Zhong-Ren

doi:10.1016/j.ufug.2021.127154

Cited by 52 publications

(25 citation statements)

References 24 publications

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“…Similarly to finding of other researchers, a large number of green spaces largely left untouched by human activity are retained in mountainous cities and require minimal or no maintenance to provide a wide range of ES [43]. Green spaces in mountainous cities have unique structure and characteristics owing to their complex geographic and geomorphic conditions and the complex interaction between humans and the environment [30]. Due to the limitations posed by the terrain, mountainous cities are often structured as multicenter clusters.…”

Section: Structural Characteristics Of Ugs In Mountainous Areasmentioning

confidence: 89%

Optimization of Green Space Planning to Improve Ecosystem Services Efficiency: The Case of Chongqing Urban Areas

Yan

Tang

2021

IJERPH

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This paper applied landscape indexes to evaluate the size, form, and structure of green spaces in the mountainous city of Chongqing and found that green spaces benefit from certain advantages in size, but the network suffered from low heterogeneity and limited interconnectivity. To ensure the integrity and continuity of ecological processes and improve the efficiency of ecosystem services (ES), the authors used Geographic Information System (GIS) software to conduct adaptability evaluation and adjacent buffer analysis for the existing green spaces, wetlands, rivers, and other landscapes with relatively high capacity for ES. We designed a comprehensive map of potential areas for UGS expansion by superimposing the maps obtained from adaptability evaluation and buffer analysis. We also proposed some strategies that respect, consider, and evaluate aspects and special features of urban environment to optimize green space planning and improve ES efficiency, such as protection of important areas, development of green corridors, and careful consideration of ecological processes and complex functions in urban areas. Based on these strategies, the paper put forth suggestions for green space planning to improve ES efficiency that can function as foundation for subsequent green space planning.

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Section: Structural Characteristics Of Ugs In Mountainous Areasmentioning

confidence: 89%

Optimization of Green Space Planning to Improve Ecosystem Services Efficiency: The Case of Chongqing Urban Areas

Yan

Tang

2021

IJERPH

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“…The inverse correlation found for increase in stress is aligned with the conclusions drawn from previous works ( Kolokotsa et al, 2020 ; Mavoa et al, 2019 ; Poulain et al, 2020 ), which demonstrated that proximity to GI may reduce stress and improve people’s emotional status. Some investigations have associated this benefit with the thermal regulation capacity of GI, since high ambient temperature can boost negative emotions such as stress and anger ( Huang et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Spatial statistical analysis of the relationship between self-reported mental health during the COVID-19 lockdown and closeness to green infrastructure

Jato-Espino

Moscardó

Rodríguez

et al. 2022

Urban Forestry & Urban Greening

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The COVID-19 pandemic has produced alterations in the behaviour and psychological health of people, who have had to learn living under uncertain circumstances escaping their control. This situation has been aggravated in those countries applying strict home confinement rules to try bending their epidemic curve. This is the case of Spain, where the stringent lockdown period was extended over three months. This study aimed at proving a research hypothesis whereby living close to Green Infrastructure (GI) during the confinement period was beneficial for mental health. To this end, La Palma (Canary Islands) and Zaragoza (Peninsular Spain) were taken as case studies, since both locations distributed a questionnaire to address citizenry’s self-reported mental health under strict lockdown conditions. A spatial statistical analysis of the responses collected by these questionnaires revealed that variables such as stress, anger, medication use, alcohol consumption or visits to the doctor significantly decreased if citizens were close to GI, whereas people having very high expectations of enjoying the city after the confinement were positively correlated to proximity of green areas. Although these outcomes are limited by the inferential capacity of correlation analysis, they point out to a sense of relief derived from having visual contact with vegetated landscapes and feeling stimulated about using them for recreation, aesthetical or sporting purposes. The joint consideration of these psychological gains with the social and environmental benefits provided by GI emphasizes the importance of approaching urban regeneration through the design and implementation of interconnected green spaces.

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“…The first step is raw data collection and discretization of independent variable data. Prepare a complete table of raw data based on the data published by the relevant statistical websites, discrete the continuous data of the independent variables using Python, and to eliminate artificial influence, classify the data of the independent variables into 10 categories (2)(3)(4)(5)(6)(7)(8)(9)(10)(11) by the quantile method. The second step is spatial inequality analysis.…”

Section: Research Stepsmentioning

confidence: 99%

“…The urban green space (UGS) is an important part of urban ecological space, which can provide important ecosystem services (ESs). For example, it can better air quality [ 1 ] and lower the surface temperature [ 2 , 3 , 4 ] to improve the urban thermal environment and cope with climate change [ 5 , 6 ], while reducing runoff [ 7 ] and controlling flood [ 8 ], to improve the sustainability of ecological environment; meanwhile, it can help protect biodiversity [ 9 ] and improve the sustainability of the ecosystem [ 10 ]; in addition, it can promote the health of residents [ 11 ] and increase social cohesion [ 12 , 13 ], to improve the quality of life of residents and increase the sustainability of living environment [ 14 ]. The rapid development of urbanization has altered the structure and pattern of urban green space, affecting the quantity and quality of urban green space, which may lead to decreasing the supply capacity of ecosystem services, having a negative influence on urban environmental quality and human well-being.…”

Section: Introductionmentioning

confidence: 99%

Study on Spatial-Temporal Change of Urban Green Space in Yangtze River Economic Belt and Its Driving Mechanism

Chen

Zhu

2021

IJERPH

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Urban green space plays an important role in beautifying the environment, improving the quality of life of residents, and promoting sustainable urban development. Rapid urbanization has led to great changes in the spatial structure and layout of urban green space. It is urgent to put forward the sustainable development strategy of green space through the research on the change of urban green space. Based on the geographical spatial differences of urban green space and integrating the factors of economy, society, industry, land use, and the environment, we constructed a research framework of “space-supply-demand” integration of urban green space by GI and geodetector methods, and we conducted an empirical study on the spatial–temporal changes of urban green space and its driving mechanism in prefecture-level cities along the Yangtze River Economic Belt in China. First, the urban green space along the Yangtze River Economic Belt is concentrated in spatial distribution, while uneven development appears in urban greening among the zones. Second, the influence of different factors on urban green space change varies greatly and can be divided into three types: key factors, important factors, and auxiliary factors. The driving mechanism of the spatial distribution of urban green space supply and demand is quite different, but urban population and commercial service facilities land are their key influence factors, having a comprehensive influence on the spatial–temporal changes of urban green space. Third, the factors are classified into three categories of high, medium, and low levels according to the mean of interacting forces; in particular, the factors of per capita GDP, utility land, industrial smoke (dust) emissions, and other factors have a very strong interactive effect with other factors. Fourth, according to the spatial distribution characteristics of urban green space and its driving mechanism, this paper puts forward planning and policy suggestions, providing reference for other areas to deal with the green space change.

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Urban green space optimization based on a climate health risk appraisal – A case study of Beijing city, China

Cited by 52 publications

References 24 publications

Optimization of Green Space Planning to Improve Ecosystem Services Efficiency: The Case of Chongqing Urban Areas

Optimization of Green Space Planning to Improve Ecosystem Services Efficiency: The Case of Chongqing Urban Areas

Spatial statistical analysis of the relationship between self-reported mental health during the COVID-19 lockdown and closeness to green infrastructure

Study on Spatial-Temporal Change of Urban Green Space in Yangtze River Economic Belt and Its Driving Mechanism

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