Street-view greenspace distribution across racial/ethnic, neighborhood income, and individual education subgroups.

ABSTRACT:

Background

The maldistribution of greenspaces across Black, Hispanic, and low-income communities can contribute to health disparities. It is unclear whether the interaction of race/ethnicity and socioeconomic status may explain the maldistribution of greenspace, or whether the maldistribution varies by type of greenspace.

Methods

Applying deep learning algorithms to street-view images, we calculated percentages of specific types of residential greenspace (i.e., %Trees, %Grass) for each Multi-Ethnic Study of Atherosclerosis participant (N = 5,858; 2000-2002). We used multilevel analysis of individual heterogeneity and discriminatory accuracy to quantify inequities in greenspace type by intersecting stratum of race/ethnicity (Black, Chinese American, Hispanic, and White), educ

SUBMITTER: Jenson TE 

PROVIDER: S-EPMC12626759 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature