  The ever-accelerating process of globalization enables more than half the
population to live in cities. Thus, the air quality in cities exerts critical
influence on the health status of more and more urban residents. In this
article, based on urban air quality data collected through meteorological
sites, mobile crowdsourcing, and IoT sensing, along with users' body signals,
we propose an urban healthcare big data system named UH-BigDataSys. In this
article, we first introduce a method of integrating multi-source air quality
data for the data preparation of artificial-intelligence-based smart urban
services. Then a testbed of UH-BigDataSys is set up with the deployment of
air-quality-aware healthcare applications. Finally, we provide health guidance
for urban residents in aspects of respiratory diseases, outdoor travel, sleep
quality, and so on. The ultimate goal of UH-BigDataSys is for urban residents
to lead healthier lives.
