  Recently, a series of models have been proposed to predict future movements
of people. Meanwhile, dictionary coding algorithms are used to estimate the
predictability limit of human mobility. Although dictionary coding is optimal,
it takes long time to converge. Consequently, it is ineffective to infer
predictability through dictionary coding algorithms. In this report, we
illustrate this ineffectiveness on the basis of human movements in urban space.
