  Uncovering the mechanism behind the scaling law in human trajectories is of
fundamental significance in understanding many spatio-temporal phenomena. In
combination of the exploration and the preferential returns, we propose a
simple dynamical model mainly based on the cascading processes to capture the
human mobility patterns. By the numerical simulations and analytical studies,
we show more than five statistical characters that are well consistent with the
empirical observations, including several type of scaling anomalies, and the
ultraslow diffusion property, implying the cascading processes associated with
the other two mechanisms are indeed a key in the understanding of human
mobility activities. Moreover, both of the diverse individual mobility and
aggregated scaling move-lengths, bridging the micro and macro patterns in human
mobility. Our model provides deeper understandings on the emergence of human
mobility patterns.
