  We examine the potential of using large-scale open crowdsourced sidewalk data
from Project Sidewalk to study the distribution and condition of sidewalks in
Seattle, WA. While potentially noisier than professionally gathered sidewalk
datasets, crowdsourced data enables large, cross-regional studies that would be
otherwise expensive and difficult to manage. As an initial case study, we
examine spatial patterns of sidewalk quality in Seattle and their relationship
to racial diversity, income level, built density, and transit modes. We close
with a reflection on our approach, key limitations, and opportunities for
future work.
