Urban air pollution has been linked to various human health concerns, including cardiopulmonary diseases. Communities who suffer from poor air quality often rely on experts to identify pollution sources due to the lack of accessible tools. Taking this into account, we developed Smell Pittsburgh , a system that enables community members to report odors and track where these odors are frequently concentrated. All smell report data are publicly accessible online. These reports are also sent to the local health department and visualized on a map along with air quality data from monitoring stations. This visualization provides a comprehensive overview of the local pollution landscape. Additionally, with these reports and air quality data, we developed a model to predict upcoming smell events and send push notifications to inform communities. We also applied regression analysis to identify statistically significant effects of push notifications on user engagement. Our evaluation of this system demonstrates that engaging residents in documenting their experiences with pollution odors can help identify local air pollution patterns and can empower communities to advocate for better air quality. All citizen-contributed smell data are publicly accessible and can be downloaded from https://smellpgh.org .

中文翻译：

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闻匹兹堡

城市空气污染与各种人类健康问题有关，包括心肺疾病。由于缺乏可用的工具，空气质量差的社区往往依赖专家来确定污染源。考虑到这一点，我们开发了 闻匹兹堡 ，该系统使社区成员能够报告气味并跟踪这些气味经常集中的位置。所有气味报告数据均可在线公开访问。这些报告还会发送到当地卫生部门，并与监测站的空气质量数据一起在地图上进行可视化。这种可视化提供了当地污染景观的全面概述。此外，利用这些报告和空气质量数据，我们开发了一个模型来预测即将发生的气味事件并发送推送通知以通知社区。我们还应用回归分析来确定推送通知对用户参与度的统计显着影响。我们对该系统的评估表明，让居民记录他们对污染气味的经历可以帮助确定当地的空气污染模式，并使社区能够倡导更好的空气质量。所有公民提供的气味数据都可以公开访问，并且可以从 https://smellpgh.org .