A case study in Milan discovered the urban spatiotemporal variations of activity intensity . The intensity of activity locations is further used to locate hot spots and identify city structure by analyzing spatiotemporal signatures of Erlang data, which is a measurement of network bandwidth . Gonzlez et al. revealed a highly regulated human mobility pattern from 100,000 mobile phone users trajectories, and Calabrese et al. established a multivariate regression model to predict daily human mobility . Hasan et al. examined both aggregate and individual activity patterns from social media check-in data.