Can I read How spatial patterns affect urban green space equity at different equity levels: A Bayesian quantile regression approach on EtoBox?

How spatial patterns affect urban green space equity at different equity levels: A Bayesian quantile regression approach by Jianxing Guan; Runzi Wang; Derek Van Berkel; Zhongyao Liang is a Environmental Science article available to read on EtoBox.

What is How spatial patterns affect urban green space equity at different equity levels: A Bayesian quantile regression approach about?

In many cities, urban green space (UGS) is not evenly distributed, and marginalized communities often lack UGS due to legacies of disinvestment. Existing research mainly focused on the effect of socioeconomic factors to understand the disparity in access to UGS. However, little is known on how spatial patterns affect UGS equality at the regional and subregional levels. Moreover, the potential quantile effects in the UGS pattern and equality relationship remain unclear. Here, we explored how UGS equality varied among UGS spatial patterns and socioeconomic gradients in seven counties (1,227 census tracts) in Southeast Michigan. First, we quantified UGS equality of each tract with a spatially explicit Gini coefficient and UGS spatial patterns via landscape metrics. Then, we applied a Bayesian quantile regression model to investigate the nonlinear relationship between spatial pattern and UGS equality in the whole study area and its three subregions of different population density. Our results showed that spatial patterns had quantile effects on UGS equality. At the regional scale, patch density and the largest patch index had significant positive effects on UGS equality at all equality

Who reads How spatial patterns affect urban green space equity at different equity levels: A Bayesian quantile regression approach?

Author

Jianxing Guan; Runzi Wang; Derek Van Berkel; Zhongyao Liang

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Environmental Science (Physical Sciences)