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Dataset Information

Association of Neighborhood Racial and Ethnic Composition and Historical Redlining With Built Environment Indicators Derived From Street View Images in the US.


ABSTRACT:

Importance

Racist policies (such as redlining) create inequities in the built environment, producing racially and ethnically segregated communities, poor housing conditions, unwalkable neighborhoods, and general disadvantage. Studies on built environment disparities are usually limited to measures and data that are available from existing sources or can be manually collected.

Objective

To use built environment indicators generated from online street-level images to investigate the association among neighborhood racial and ethnic composition, the built environment, and health outcomes across urban areas in the US.

Design, setting, and participants

This cross-sectional study was conducted using built environment indicators derived from 164 million Google Street View ima

SUBMITTER: Yang Y 

PROVIDER: S-EPMC9856713 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature