This material is based upon work supported by the National ScienceFoundation under Grant Number SBE-1444755, which established the471A. Baker et al. / Science of the Total Environment 664 (2019) 461â€“473 Urban Resilience to Extremes Sustainability Research Network.
Science of the Total Environment
Landscape assessment, Sustainable development, Green infrastructure, Geographic information systems, Environmental justice, Urban runoff -- Management
This study explores the spatial distribution of green stormwater infrastructure (GSI) relative to sociodemographic and landscape characteristics in Portland, OR, and Baltimore, MD, USA at census block group (CBG) and census tract scales. GSI density is clustered in Portland, while it is randomly distributed over space in Baltimore. Variables that exhibit relationships with GSI density are varied over space, as well as between cities. In Baltimore, GSI density is significantly associated with presence of green space (+), impervious surface coverage (+), and population density (âˆ’) at the CBG scale; though these relationships vary over space. At the census tract scale in Baltimore, a different combination of indicators explains GSI density, including elevation (+), population characteristics, and building characteristics. Spatial regression analysis in Portland indicates that GSI density at the CBG scale is associated with residents identifying as White (âˆ’) and well-draining hydrologic soil groups A and B (âˆ’). At both census tract and CBG scales, GSI density is associated with median income (âˆ’) and sewer pipe density (âˆ’). Hierarchical modelling of GSI density presents significant spatial dependence as well as group dependence implicit to Portland at the census tract scale. Significant results of this model retain income and sewer pipe density as explanatory variables, while introducing the relationship between GSI density and impervious surface coverage. Overall, this research offers decision-relevant information for urban resilience in multiple environments and could serve as a reminder for cities to consider who is inherently exposed to GSI benefits.
Locate the Document
Baker, A., Brenneman, E., Chang, H., McPhillips, L., & Matsler, M. (2019). Spatial analysis of landscape and sociodemographic factors associated with green stormwater infrastructure distribution in Baltimore, Maryland and Portland, Oregon. Science of The Total Environment, 664, 461-473.
Available for download on Sunday, January 31, 2021