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.

翻译：我们研究利用来自人行道项目(WA)的大型开放的人群源码人行道数据研究西雅图人行道分布和状况的可能性,虽然与专业收集的人行道数据集相比,众源数据可能更能引起注意,但能够进行大规模、跨区域的研究,否则成本会很高,而且难以管理。作为初步案例研究,我们研究西雅图人行道质量的空间模式及其与种族多样性、收入水平、建筑密度和中转模式的关系。我们最后思考了我们的方法、关键限制和今后工作的机会。