Due to advances in sensor technology, a mobile data collection campaign was carried out to harvest data related to Air Quality. Data reduction, filtering, analytics, and visualization techniques were applied to a big data set covering 0.5+ million records across 3000+ km of roads. Interactive maps were created to slice/dice the dataset and visualize it. A spatial modelling technique is currently underway to enable informative decisions with regard to sustainable urban transport.