Spatial analysis of landscape and sociodemographic factors associated with green stormwater infrastructure distribution in Baltimore, Maryland and Portland, Oregon.

摘要: Abstract This study explores the spatial distribution of green stormwater infrastructure (GSI) relative to sociodemographic and landscape characteristics in Portland, OR, Baltimore, MD, USA at census block group (CBG) tract scales. GSI density is clustered while it randomly distributed over space Baltimore. Variables that exhibit relationships with are varied space, as well between cities. In significantly associated presence (+), impervious surface coverage population (−) CBG scale; though these vary space. At scale a different combination indicators explains density, including elevation characteristics, building characteristics. Spatial regression analysis Portland indicates residents identifying White well-draining hydrologic soil groups A B (−). both scales, median income sewer pipe Hierarchical modelling presents significant dependence implicit scale. Significant results this model retain explanatory variables, introducing relationship coverage. Overall, research offers decision-relevant information for urban resilience multiple environments could serve reminder cities consider who inherently exposed benefits.