Green gentrification or gentrified greening: Metropolitan Melbourne

Sharifi, Farahnaz; Nygaard, Christian; Stone, Wendy; Levin, Iris

doi:10.1016/j.landusepol.2021.105577

Cited by 45 publications

(18 citation statements)

References 54 publications

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“…Some studies took a time-series approach and compared how indicators changed over time (Anguelovski et al, 2017; Braswell, 2018; Rigolon and Németh, 2020). Others employed a difference-in-difference approach, where “treatment” and “control” groups (determined based on proximity to greening) were compared to control for site and time-specific factors and make more robust causal inferences (Park and Kim, 2019; Black and Richards, 2020; Sharifi et al, 2021). Changes in indicator variables were typically examined over one time period, usually 5–10 years in length, occurring sometime between 2000 and 2015.…”

Section: Resultsmentioning

confidence: 99%

How well do we know green gentrification? A systematic review of the methods

Quinton¹,

Nesbitt²,

Sax³

2022

Progress in Human Geography

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This systematic literature review identifies and critiques methodological trends in green gentrification research (focusing on studies of vegetative greening) and provides suggestions for advancing this field. Findings reveal (1) research has largely focused on U.S. case studies; (2) early work employed qualitative methods but quantitative analyses have become more common; (3) little attention has been paid to the influence of greening characteristics/functions and non-greening factors on gentrification; (4) the mechanisms through which greening leads to gentrification are not well understood, particularly on the demand side; and (5) despite being the main concern of green gentrification, displacement has not been well-documented.

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Section: Resultsmentioning

confidence: 99%

How well do we know green gentrification? A systematic review of the methods

Quinton¹,

Nesbitt²,

Sax³

2022

Progress in Human Geography

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“…The existence of inequality in the distribution of green space in different neighborhoods of a city is not a new phenomenon in any city in the world (Sharifi et al, 2021). This inequality and imbalance in cities are a natural thing and it is impossible to eliminate it if it is not exaggerated; but it can be done as little as possible.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of urban green space per capita with new remote sensing and geographic information system techniques and the importance of urban green space during the COVID-19 pandemic

Pouya

Aghlmand

2022

Environ Monit Assess

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A recently conducted study by the Centers for Disease Control and Prevention encouraged access to urban green space for the public over the prevalence of COVID-19 in that exposure to urban green space can positively affect the physical and mental health, including the reduction rate of heart disease, obesity, stress, stroke, and depression. COVID-19 has foregrounded the inadequacy of green space in populated cities. It has also highlighted the extant inequities so as to unequal access to urban green space both quantitatively and qualitatively. In this regard, it seems that one of the problems related to Malatya is the uncoordinated distribution of green space in different parts of the city. Therefore, knowing the quantity and quality of these spaces in each region can play an effective role in urban planning. The aim of the present study has been to evaluate urban green space per capita and to investigate its distribution based on the population of the districts of Battalgazi county in Malatya city through developing an integrated methodology (remote sensing and geographic information system). Accordingly, in Google Earth Engine by images of Sentinel-1 and PlanetScope satellites, it was calculated different indexes (NDVI, EVI, PSSR, GNDVI, and NDWI). The data set was prepared and then by combining different data, classification was performed according to support vector machine algorithm. From the landscaping maps obtained, the map was selected with the highest accuracy (overall accuracy: 94.43; and kappa coefficient: 90.5). Finally, by the obtained last map, the distribution of urban green space per capita and their functions in Battalgazi county and its districts were evaluated. The results of the study showed that the existing urban green spaces in the Battalgazi/Malatya were not distributed evenly on the basis of the districts. The per capita of urban green space is twenty-four regions which is more than 9m 2 and in twenty-three ones is less than 9m 2 . The recommendation of this study was that Türkiye city planners and landscape designers should replan and redesign the quality and equal distribution of urban green spaces, especially during and following COVID-19 pandemic. Additionally, drawing on the Google Earth Engine cloud system, which has revolutionized GIS and remote sensing, is recommended to be used in land use land cover modeling. It is straightforward to access information and analyze them quickly in Google Earth Engine. The published codes in this study makes it possible to conduct further relevant studies.

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“…In fact, several studies have indicated the same issue ( Feng et al, 2019 ; Liu et al, 2021 ). Areas with high-income levels or larger amounts of open greenspace are likely to have more inequality, which may cause environmental injustice or green gentrification problems ( Gould and Lewis, 2012 ; Sharifi et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Realising the Sustainable Development Goal 11.7 in the post-pandemic era – A case study of Taiwan

Hsu

Lin

2022

Environment and Planning B: Urban Analytics and City Science

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The COVID-19 pandemic has dramatically impacted our daily lives worldwide. For instance, pandemic-prevention policies restrict people’s mobility, which causes problems in accessing urban greenspaces. Indeed, unequal access to urban greenspace has been accentuated during the most stringent lockdowns of 2020 and 2021. Amid such challenging circumstances, there has been a growing attention placed on Sustainable Development Goal (SDG) 11.7, which has brought opportunities for urgent action. In this paper, we applied the Gini coefficient to our analysis of unequal access to urban greenspaces across all urban planning areas in six special municipalities in Taiwan. Moreover, we also conducted comparative analyses between the Gini coefficient and other socio-economic factors. The results show that approximately 63.98% of the urban planning area suffers from unequal access to greenspaces. In addition, urban greenspace provision and household income show significant positive correlations with the Gini coefficient, which reflects Taiwan’s environmental injustice. Furthermore, these findings can help city planners and decision-makers evaluate levels of equality in each urban planning area and decide which priority areas should be improved. Finally, this study can also be used as a reference for decision-makers to realise SDG 11.7 in the post-pandemic era.

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Green gentrification or gentrified greening: Metropolitan Melbourne

Cited by 45 publications

References 54 publications

How well do we know green gentrification? A systematic review of the methods

How well do we know green gentrification? A systematic review of the methods

Evaluation of urban green space per capita with new remote sensing and geographic information system techniques and the importance of urban green space during the COVID-19 pandemic

Realising the Sustainable Development Goal 11.7 in the post-pandemic era – A case study of Taiwan

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