Understanding the changes in spatial fairness of urban greenery using time-series remote sensing images: A case study of Guangdong-Hong Kong-Macao Greater Bay

Guang, Yang; Zhao, Yaolong; Xing, Hanfa; Fu, Yingchun; Liu, Guilin; Kang, Xiaoning; Mai, Xin

doi:10.1016/j.scitotenv.2020.136763

Cited by 44 publications

(27 citation statements)

References 75 publications

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“…The preliminary analysis selected a set of candidate factors, including the climatic variables (precipitation and surface temperature), terrain (DEM and slope), transportation impact (density of railways, roads, and waterways), and urbanization level (in the proxy of the normalized difference built-up index or NDBI). Those factors have proved to be related to the changes of the urban greenness landscape by many other studies [3,20]. The combination of those economic and environmental factors may provide a more comprehensive view for understanding the driving forces for the urban greenness space.…”

Section: Factor Analysis For the Dynamics Of The Urban Greennessmentioning

confidence: 95%

“…The World Urbanization Prospects 2018 estimated that 68% of the world's population would dwell in cities by 2050 [2]. In the past few decades, urban land across the globe has expanded dramatically from urbanization [3], which is also often accompanied by spatially fragmented and socially uneven urbanized areas [4]. The process of urbanization deeply affected vegetation patterns and ecosystem services, as it could significantly update the material circulation and energy flow of an area [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…The importance of urban greenspace is similarly reflected from the increase of the capitalized value for areas with more convenient access to urban greenness [11,17]. Understanding the dynamics of urban greenness space is a prerequisite to propose a greening policy aimed at sustainable urban development [3,18].…”

Section: Introductionmentioning

confidence: 99%

“…In arid regions, water shortage placed a critical constraint for both natural and urban vegetation [20]. Second, the urban greenness space could be significantly altered by human activities [3,8]. While cities have provided more convenience for the inhabitants, urbanization has converted significant amounts of vegetation cover into environmentally unfriendly built-up areas [14,21].…”

Section: Introductionmentioning

confidence: 99%

“…The nature of urbanization inevitably transforms into built-up land from other land cover types, which are likely dominated by vegetation. It is vital to understand the driving forces that alter urban greenness and design well-defined plans and policies to satisfy urban greenness service [3].…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Dynamics of Urban Greenness Space and Their Driving Factors Using Geographically Weighted Regression: A Case Study in Wuhan Metropolis, China

Yang

Sha

2020

Land

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Urban greenness plays a vital role in supporting the ecosystem services of a city. Exploring the dynamics of urban greenness space and their driving forces can provide valuable information for making solid urban planning policies. This study aims to investigate the dynamics of urban greenness space patterns through landscape indices and to apply geographically weighted regression (GWR) to map the spatially varied impact on the indices from economic and environmental factors. Two typical landscape indices, i.e., percentage of landscape (PLAND) and aggregation index (AI), which measure the abundance and fragmentation of urban greenness coverage, respectively, were taken to map the changes in urban greenness. As a case study, the metropolis of Wuhan, China was selected, where time-series of urban greenness space were extracted at an annual step from the Landsat collections from Google Earth Engine during 2000–2018. The study shows that the urban greenness space not only decreased significantly, but also tended to be more fragmented over the years. Road network density, normalized difference built-up index (NDBI), terrain elevation and slope, and precipitation were found to significantly correlate to the landscape indices. GWR modeling successfully captures the spatially varied impact from the considered factors and the results from GWR modeling provide a critical reference for making location-specific urban planning.

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Section: Factor Analysis For the Dynamics Of The Urban Greennessmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Exploring the Dynamics of Urban Greenness Space and Their Driving Factors Using Geographically Weighted Regression: A Case Study in Wuhan Metropolis, China

Yang

Sha

2020

Land

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Analysis of the Impact of Park Scale on Urban Park Equity Based on 21 Incremental Scenarios in the Urban Core Area of Chongqing, China

Diao

2021

Advanced Sustainable Systems

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some positive signs toward reducing inequality in some dimensions, inequality still persists. Inequalities are deepening for vulnerable populations. Refugees and migrants, as well as indigenous peoples, elder individuals, people with disabilities and children are particularly at risk of being left behind. Urban park is an important kind of public resource, boasting economic, aesthetic, health and ecological values and providing indispensable space for urban residents' life. [1] However, an increasingly number of studies have revealed that the problem of inequitably distributed urban parks across socioeconomic groups presents a challenge to cities. [2][3][4] Particularly in developing countries which are undergoing rapid urbanization, such inequalities may have been aggravated. [5] Studies of urban park equity have generally investigated the difference of spatial accessibility of urban parks taking account of population with socioeconomic attributes. Such studies perform classification based on different attributes such as incomes, ages, and ethnic groups to quantitatively analyze the relationship between spatial distribution of urban parks and spatial clustering of social groups, so as to estimate the disparities in spatial provision. For developed counties in Europe and the United States, many studies have revealed that the groups of the ethnic minorities and the lowincome have less access to green space or parks compared with the groups of white people and the high-income. [1,4,6,7] Whilst black communities have less distance from residence to the nearest park, white communities are benefiting from parks with much larger areas, causing more crowded park space accessed by black communities. [8] Moreover, many low-income group people are forced to move to suburb because of trends such as urban deindustrialization, white migration, and urban center gentrification, which bring high pressure to provision of parks in urban suburb. [9,10] In Chinese literature, however, there is no consensus among scholars about the urban park equity with the socioeconomic status of residents. Parks and green spaces could be equally distributed with good access for vulnerable groups in some cities [11][12][13] but others could not. [14,15] Many studies have further investigated the driving factors to the urban park equity, such as physical, transport, social, and Whilst many cities have implemented strategies for urban park supply, the expected outcome may be productively poor, aggravating the inequality. However, little evidence of reducing urban park inequality through regulating urban park scale has been presented. The indicators of accessibility per capita park area, Gini coefficient, and accessible park share are adopted to assess the urban park inequality in Chongqing and examine park scale impacts, through 21 incremental scenarios. Whilst the overall urban park equity is relatively reasonable in Chongqing's core area, the park accessibility is markedly unequal in distribution. There is no significant difference between the age-...

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Urban Forests: Importance, Challenges and Opportunities

Singh,

Shukla,

Singh

et al. 2024

Urban Forests, Climate Change and Environmental Pollution

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Understanding the changes in spatial fairness of urban greenery using time-series remote sensing images: A case study of Guangdong-Hong Kong-Macao Greater Bay

Cited by 44 publications

References 75 publications

Exploring the Dynamics of Urban Greenness Space and Their Driving Factors Using Geographically Weighted Regression: A Case Study in Wuhan Metropolis, China

Exploring the Dynamics of Urban Greenness Space and Their Driving Factors Using Geographically Weighted Regression: A Case Study in Wuhan Metropolis, China

Analysis of the Impact of Park Scale on Urban Park Equity Based on 21 Incremental Scenarios in the Urban Core Area of Chongqing, China

Urban Forests: Importance, Challenges and Opportunities

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