【作者】 韩筱璞； 汪秉宏；

【Author】 Xiao-Pu Han~1,Bing-Hong Wang~(1,2) 1 Department of Modern Physics,University of the Science and Technology of China,Hefei 230026,China 2 Research Center for Complex System Science,University of Shanghai for Science and Technology,Shanghai 200093, China

【机构】 中国科学技术大学近代物理系； 上海系统科学研究院；

【摘要】 本文提出了一个新的动力学模型来研究人类空间运动斑图统计特性中的非泊松现象。该模型主要考虑了现实中人们选择出行目标时所常常考虑的空间距离因素和时间记忆因素,即人们倾向于选择路程较近和较熟悉的地点出行。基于这样的假设,该模型模拟了个体在2维平面四方空间中的运动过程。通过数值模拟发现,该模型中个体的运动不但具有幂律形式的行程分布,还具有明显的局域性和不均匀的抵达概率分布,这些结果可以覆盖目前的实证统计结果,暗示空间距离因素和时间记忆因素的影响可能是形成人类空间运动行为的非泊松性统计特性的主要机制。更多还原

【Abstract】 In this paper,we propose a new dynamical model to investigate the origin of non-Poisson properties in human mobility pattern.Considering the distance and the memory of the aim generally are main factors when human decide the aim of travel,namely the nearer and more familiar places usually have more possible be chosen as aim of travel,our model simulates the walking process of a walker in a 2 Dimension square field.Simulation results indicate that our model can generate not only the power-law displacement distribution,but also the localization property and non-homogeneous arrival frequency distribution.These results can cover most of conclusions of the empirical statistics,imply the factor of distance and memory could be important roles in the emergence of non-Poisson property in human mobility pattern.更多还原