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Journal ArticleDOI

Accessibility of public urban green space in an urban periphery: The case of Shanghai

01 Sep 2017-Landscape and Urban Planning (Elsevier)-Vol. 165, pp 177-192
TL;DR: Wang et al. as mentioned in this paper studied the accessibility of public urban green spaces in the context of rapid land transformation within the urban periphery, and illustrated how to evaluate the access to public green spaces of an urban periphery and how planning processes can influence the improvement of such access.
About: This article is published in Landscape and Urban Planning.The article was published on 2017-09-01. It has received 201 citations till now.
Citations
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Journal ArticleDOI
TL;DR: In this paper, the authors examined whether the quality of urban park systems varies depending on a city's median income and ethnic composition, and found U.S. cities with higher median incomes and lower percentages of Latino and Non-Hispanic Black residents have higher ParkScores than other cities.

223 citations

Journal ArticleDOI
TL;DR: Zhang et al. as mentioned in this paper evaluated disparities in access to public green spaces for urban residents and the spatial mismatches among public green space provision, residents' visits and the demands of socially vulnerable groups within the Central City of Shanghai.

139 citations

Journal ArticleDOI
TL;DR: Zhang et al. as mentioned in this paper used mobile phone data to determine if older people experience inequitable park access owing to their socioeconomic status, and found that housing price, the distance to commercial areas and greenspaces are significant influencing factors of the park accessibility.

110 citations

Journal ArticleDOI
TL;DR: In this paper, a case study of Shanghai, China was conducted with the use of big data, where a real-time navigation route measurement based on Amap application programming interface (AAPI) was developed to calculate green space accessibility and housing price was used to indicate dwellers' socioeconomic status.

95 citations

Journal ArticleDOI
TL;DR: In this paper, the authors quantified the changes in impervious surface area (ISA) and assessed the impacts of urbanization on vegetation greenness (enhanced vegetation index (EVI)), and gross primary production (GPP) in megacity Shanghai during 2000-2016.

82 citations

References
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Journal ArticleDOI
TL;DR: In this paper, the authors reviewed the Anglo-American literature on urban green space, especially parks, and compared efforts to green US and Chinese cities and found that the distribution of such space often disproportionately benefits predominantly white and more affluent communities.

2,459 citations

Journal ArticleDOI
TL;DR: In this paper, a conceptual framework of associations between urban green space and ecosystem and human health is proposed, which highlights many dynamic factors, and their complex interactions, affecting ecosystem health and human Health in urban areas.

2,151 citations

Journal ArticleDOI
TL;DR: In this paper, the importance of urban nature for citizens' well-being and for the sustainability of the city they inhabit is discussed, based on a survey conducted among visitors of an urban park in Amsterdam (The Netherlands).

2,027 citations

Journal ArticleDOI
TL;DR: In this paper, the authors expose the Kappa indices' properties mathematically and illustrate their limitations graphically, with emphasis on Kappa's use of randomness as a baseline, and the often-ignored conversion from an observed sample matrix to the estimated population matrix.
Abstract: The family of Kappa indices of agreement claim to compare a map's observed classification accuracy relative to the expected accuracy of baseline maps that can have two types of randomness: (1) random distribution of the quantity of each category and (2) random spatial allocation of the categories. Use of the Kappa indices has become part of the culture in remote sensing and other fields. This article examines five different Kappa indices, some of which were derived by the first author in 2000. We expose the indices' properties mathematically and illustrate their limitations graphically, with emphasis on Kappa's use of randomness as a baseline, and the often-ignored conversion from an observed sample matrix to the estimated population matrix. This article concludes that these Kappa indices are useless, misleading and/or flawed for the practical applications in remote sensing that we have seen. After more than a decade of working with these indices, we recommend that the profession abandon the use of Kappa indices for purposes of accuracy assessment and map comparison, and instead summarize the cross-tabulation matrix with two much simpler summary parameters: quantity disagreement and allocation disagreement. This article shows how to compute these two parameters using examples taken from peer-reviewed literature.

1,463 citations

Journal ArticleDOI
TL;DR: In this article, an observational study examined the influence of attractiveness on the use of POS by observing users of three pairs of high- and low-quality (based on attractiveness) POS matched for size and location.

1,413 citations