Neighborhood socioeconomic disadvantage and urban public green spaces availability: A localized modeling approach to inform land use policy

Li, Hongbo; Liu, Yali

doi:10.1016/j.landusepol.2016.06.015

Cited by 92 publications

(47 citation statements)

References 67 publications

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“…For example, a study on the central neighborhoods of Teheran, Iran found that low-SES people live in closer proximity to green spaces than more affluent residents [83], while an investigation on the entire metropolitan area of Teheran showed the opposite [84]. Contrasting results also emerged for Shanghai, with more studies finding inequity for green space proximity [81,82,91,98] than equity [99]. Three studies in Latin American cities (Santiago de Chile; Hermosillo, Mexico; Bogotá, Colombia) [18,38,80], and three other studies in African cities (Cairo, Egypt; Cape Town, South Africa) [21,86,96] found that high-SES people live closer to parks than low-SES people.…”

Section: Results: Do Inequities In the Global South Vary Based On Geomentioning

confidence: 97%

“…A few studies exemplify the trends displayed in Tables 4-7. For proximity, studies in six Chinese cities (e.g., Shanghai, Beijing, Zhongshan, Shenzhen, Wuhan, Macau) showed that high-SES people tend to live closer to urban green spaces than low-SES people, with effect sizes ranging from large to very small [74,81,82,91,92,94,95,97,98,100,101,103,104]. Depending on the methods and sample size, studies focusing on the same city found contrasting results.…”

Section: Results: Do Inequities In the Global South Vary Based On Geomentioning

confidence: 99%

“…The only study focusing on racial-ethnic differences found that, in Karachi, Pakistan, Pathan women felt safer in women-only-parks than Mohajir women [79]; however, the author did not discuss whether one of these ethnic groups is more advantaged in Pakistani society than the other one. [20,25,47,71,72,77,81,89,96,101,105] 100%, n = 5 [47,71,72,77,101] 80%, n = 4 [25,71,89,96] 50%, n = 4 [25,89,96,105] 100%, n = 2 [20,96] 50%, n = 1 [81] Equity 5.8%, n = 1 [104] 0%, n = 0 0%, n = 0 0%, n = 0 0%, n = 0 50%, n = 1 [104] Mixed or not sig. 29.4%, n = 5 [23,38,79,87,90] 0%, n = 0 20%, n = 1 [79] 50%, n = 4 [23,38,87,90] 0%, n = 0 0%, n = 0…”

Section: Green Space Qualitymentioning

confidence: 99%

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Access to Urban Green Space in Cities of the Global South: A Systematic Literature Review

et al. 2018

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This review examines disparities in access to urban green space (UGS) based on socioeconomic status (SES) and race-ethnicity in Global South cities. It was motivated by documented human health and ecosystem services benefits of UGS in Global South countries and UGS planning barriers in rapidly urbanizing cities. Additionally, another review of Global North UGS studies uncovered that high-SES and White people have access to a higher quantity of higher quality UGSs than low-SES and racial-ethnic minority people but that no clear differences exist regarding who lives closer to UGS. Thus, we conducted a systematic review to uncover (1) whether UGS inequities in Global North cities are evident in Global South cities and (2) whether inequities in the Global South vary between continents. Through the PRISMA approach and five inclusion criteria, we identified 46 peer-reviewed articles that measured SES or racial-ethnic disparities in access to UGS in Global South cities. We found inequities for UGS quantity (high-SES people are advantaged in 85% of cases) and UGS proximity (74% of cases). Inequities were less consistent for UGS quality (65% of cases). We also found that UGS inequities were consistent across African, Asian, and Latin American cities. These findings suggest that Global South cities experience similar inequities in UGS quantity and quality as Global North cities, but that the former also face inequities in UGS proximity.

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Section: Results: Do Inequities In the Global South Vary Based On Geomentioning

confidence: 97%

Section: Results: Do Inequities In the Global South Vary Based On Geomentioning

confidence: 99%

Section: Green Space Qualitymentioning

confidence: 99%

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Access to Urban Green Space in Cities of the Global South: A Systematic Literature Review

et al. 2018

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“…GWR is a local spatial statistical method for evaluating how the relationships between a dependent variable and one or more explanatory variables change spatially. As one of the useful tools to explore the spatial local heterogeneity, GWR has been widely used in many fields in recent years, For example, the geographic variation and impact factors of urban public green space availability [46], peri-urban agriculture [47], noise pollution [48], population [49] and resident recreation demand [50] have been investigated with GWR. The GWR method was usually compared with global spatial statistical methods, such as the ordinary least squares (OLS) regression, regression kriging, or co-kriging and the comparisons showed the advantages of GWR in improving mapping quality and exploring spatially varying local relationships [47][48][49][50][51].…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China

Yang

et al. 2017

Sustainability

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Abstract:With the rapid development of land marketization in China, the spatial patterns of residential land prices in different regions have become increasingly complicated. The very high and continuously rising residential land prices in many cities are causing significant challenges to economic development and social stability. Yet, there has only been a limited amount of attempts made to model and analyze the regional dynamic changes of residential land price systematically, especially in term of the spatially varying effects of key demographic and economic factors. In this study we provided a perspective analysis of the changes of residential land prices in 2008, 2011 and 2014 based on the land price monitoring records of 105 cities and then conducted a geographically weighted regression (GWR) analysis on the relationships between residential land price and three major impact factors (i.e., immigrant population, gross domestic product (GDP) and investment in residential buildings). Results show that the areas in which GDP had relatively strong positive impacts on residential land price expanded with time. The negative effects of immigrant population on residential land price were mainly concentrated in the cities around the Bohai Rim and the area with negative effects gradually shrank in the three studied years. Conversely, the areas with negative correlation between investment in residential buildings and residential land price gradually expanded in size over time. A geographical detector was used to examine the relative importance of factors to residential land price. It was found that the GDP had more significant influence on residential land price than other factors and the influence of the three factors to overall variation in residential land price increased over the three studied years. These results underscore the importance of taking spatially varying effects of major driving factors into account in policy-making on regional land market.

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“…(Alberti, Marzluff, 2004;Conway, et al, 2010;Colusca, Alpopi, 2011;Cohen, et al, 2012;Wolch, et al, 2014;Feltynowski, 2015;Lee, et al, 2015;Davis, 2016;Li, Liu, 2016).…”

Section: Introductionmentioning

confidence: 99%

Analysis of vegetation from satellite images correlated to the bird species presence and the state of health of the ecosystems of Bucharest during the period from 1991 to 2006

Dragoș¹,

Petrescu²,

Merciu³

2017

Geogr Pannon

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The urban vegetation needs adequate monitoring and conservation, being a critical resource of urban landscape. To its deeply esthetic values, the practical values and, respectively, ecosystem services delivered by the urban biodiversity are added (amelioration of the environment and urban microclimate, flood control, diminishing of the environmental pollution, increasing of biodiversity and habitats etc.). Accurate remote sensing techniques have been used widely in locating and mapping urban vegetation (Light Detection And Ranging-LiDAR, satellite images).The purpose of this study is to point out the vegetation status in correlation with the number of the bird species (as indicator of the ecosystem's health), using remote sensing techniques (Landsat satellite images), between 1991-2006 in Bucharest, Romania's capital. Rapid urban evolution of Bucharest led to important changes within the structure of the city, underlined by the increasing of the built area to the detriment of the green one. The intensity of the urbanization rate also led to the decreasing of the number of the bird species. The results obtained through analysis of satellite images indicate the necessity to acquire the up-to-date information related to the vegetation status in order to establish in the future, through urban landscape projects, protection measures for the vegetation cover and for the bird habitats in Bucharest Municipality.

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Neighborhood socioeconomic disadvantage and urban public green spaces availability: A localized modeling approach to inform land use policy

Cited by 92 publications

References 67 publications

Access to Urban Green Space in Cities of the Global South: A Systematic Literature Review

Access to Urban Green Space in Cities of the Global South: A Systematic Literature Review

Spatiotemporal Effects of Main Impact Factors on Residential Land Price in Major Cities of China

Analysis of vegetation from satellite images correlated to the bird species presence and the state of health of the ecosystems of Bucharest during the period from 1991 to 2006

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