Impacts of distance and memory in the emergence of scaling mobility pattern of human

In this paper, we propose a novel dynamical task-based model to investigate the origin of non-Poisson properties in human mobility pattern. Considering the distance and the memory effects in the decision of human travel, our model simulates the walking process of a walker in a two dimension square landscape. In the walking process, the nearer and more familiar places usually have more possible to be chosen as the aim location of travel. Simulation results indicate that our model can generate not only the power-law displacement distribution, but also the localization property and non-homogeneous visiting frequency distribution. These results in agreement most of conclusions of the empirical statistics, imply the impacts of distance and memory are important in the emergence of non-Poisson property in human mobility pattern.