4.7 Article

Inequities in the quality of urban park systems: An environmental justice investigation of cities in the United States

期刊

LANDSCAPE AND URBAN PLANNING
卷 178, 期 -, 页码 156-169

出版社

ELSEVIER
DOI: 10.1016/j.landurbplan.2018.05.026

关键词

Urban green space; Urban parks; Environmental justice; Equity; Access to green space

向作者/读者索取更多资源

A growing body of research shows affluent White neighborhoods have more acres of parks and more park facilities than low-income ethnic minority communities in many Global North cities. Most of these investigations focused on neighborhood-level differences and did not analyze broader inequities across cities. This is a particularly significant limitation in the U.S., where changes in the political economy of parks due to a reduced local tax base have led cities to compete against each other to secure park funding from national nonprofits and public agencies. To address this gap, we examined whether the quality of urban park systems - measured through The Trust for Public Land's ParkScore - varies depending on a city's median income and ethnic composition. Based on multivariate regressions in which we control for features of the urban fabric, we found U.S. cities with higher median incomes and lower percentages of Latino and Non-Hispanic Black residents have higher ParkScores than other cities. Some inequities also emerged for park coverage, park spending per person, and park facilities, with majority-Latino cities being particularly disadvantaged. These findings echo the results of neighborhood-level studies in Global North contexts, suggesting neighborhood-level inequities in park provision might scale up to inequities across cities. This study contributes to environmental justice theory and advocacy by demonstrating the importance of scaling up analyses of park provision to cross-city comparisons. Implications for landscape planning, public policy, and grant-making are discussed.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据