Abstract：
Under international advocacy for a low-carbon and healthy lifestyle, ambient PM2.5 pollution poses a dilemma for urban residents who wish to engage in outdoor exercise and adopt active low-carbon commuting. In this study, an Urban Air Health Navigation System (UAHNS) was designed and proposed to assist users by recommending routes with the least PM2.5 exposure and dynamically issuing early risk warnings based on topologized digital maps, an application programming interface (API), an eXtreme Gradient Boosting (XGBoost) model, and two-step spatial interpolation. A test of the UAHNS\'s functions and applications was carried out in Wuhan city. The results showed that, compared with trained random forest (RF), LightGBM, Adaboost models, etc., the XGBoost model performed better, with an R2 exceeding 0.90 and an RMSE of approximately 15.74 μg/m3, based on data from national air and meteorological monitoring stations. Further, the two-step spatial interpolation model was adopted to dynamically generate pollution distribution at a spatial resolution of 300 m*300 m. Then, an exposure comparison was performed under randomly selected commuting routes and times in Wuhan, showing the recommended routes for lower PM2.5 exposure made effectively help. And the route difference ratios of about 14.9 % and 16.9 % for riding and walking, respectively. Finally, the UAHNS platform was integrally realized for Wuhan, consisting of a real-time PM2.5 query, a one-hour PM2.5 prediction function at any location, health navigation on city map, and a personalized health information query.
摘要：
在国际上倡导低碳健康的生活方式，环境PM2.5污染给希望从事户外运动和采取积极低碳通勤的城市居民带来了困境。在这项研究中,设计并提出了城市空气健康导航系统（UAHNS），以通过推荐PM2.5暴露最少的路线并基于拓扑数字地图动态发布早期风险警告来帮助用户，应用程序编程接口(API)，极限梯度提升(XGBoost)模型，和两步空间插值。在武汉市对UAHNS的功能和应用进行了测试。结果表明,与经过训练的随机森林(RF)相比，LightGBM,Adaboost模型，等。,XGBoost模型表现更好，根据国家空气和气象监测站的数据，R2超过0.90，RMSE约为15.74μg/m3。Further,采用两步空间插值模型，以300m*300m的空间分辨率动态生成污染分布。然后，在武汉随机选择的通勤路线和时间下进行了暴露比较，显示较低PM2.5暴露的推荐途径有效地帮助。骑乘和步行的路线差异率约为14.9%和16.9%，分别。最后,UAHNS平台在武汉整体实现，由实时PM2.5查询组成，任何地点的一小时PM2.5预测功能，城市地图上的健康导航，和个性化的健康信息查询。
