Department of Physics, Pohang University of Science and Technology, Pohang, Republic of Korea.
Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea.
PLoS One. 2019 Jun 6;14(6):e0218028. doi: 10.1371/journal.pone.0218028. eCollection 2019.
Understanding the mechanisms behind human mobility patterns is crucial to improve our ability to optimize and predict traffic flows. Two representative mobility models, i.e., radiation and gravity models, have been extensively compared to each other against various empirical data sets, while their fundamental relation is far from being fully understood. In order to study such a relation, we first model the heterogeneous population landscape by generating a fractal geometry of sites and then by assigning to each site a population independently drawn from a power-law distribution. Then the radiation model on this population landscape, which we call the radiation-on-landscape (RoL) model, is compared to the gravity model to derive the distance exponent in the gravity model in terms of the properties of the population landscape, which is confirmed by the numerical simulations. Consequently, we provide a possible explanation for the origin of the distance exponent in terms of the properties of the heterogeneous population landscape, enabling us to better understand mobility patterns constrained by the travel distance.
理解人类移动模式背后的机制对于提高我们优化和预测交通流量的能力至关重要。两种有代表性的移动模型,即辐射模型和引力模型,已经被广泛地相互比较,以适应各种经验数据集,而它们的基本关系远未被完全理解。为了研究这种关系,我们首先通过生成一个分形的站点几何图形,并为每个站点分配一个独立从幂律分布中抽取的人口,从而对异质的人口景观进行建模。然后,我们将这个人口景观上的辐射模型称为辐射景观模型(RoL),并将其与引力模型进行比较,以根据人口景观的性质推导出引力模型中的距离指数,这一点通过数值模拟得到了验证。因此,我们提供了一个可能的解释,即距离指数的起源可以用异质人口景观的性质来解释,这使我们能够更好地理解受旅行距离约束的移动模式。