大型街道网络中人类流动模式的特征
Characterizing Human Mobility Patterns in a Large Street Network
摘要：
以往的研究经验表明，人类流动表现出利维飞行行为。然而，我们的知识的机制，管理这种利维飞行行为仍然有限。在这里，我们分析了超过72 000人的移动轨迹，从50辆出租车在6个月内在一个大型的街道网络，并说明了人类流动模式，或利维飞行行为，主要是由于底层的街道网络。换句话说，人类运动的目标导向性质对整体交通分布几乎没有影响。我们进一步模拟了大量随机步行者的移动性，发现（1）模拟的随机步行者可以再现相同的人类流动模式，（2）随机步行者的模拟移动率与观察到的人类流动率相关性很好（R平方达0.87）。
英文摘要：
Previous studies demonstrated empirically that human mobility exhibits Levy flight behaviour. However, our knowledge of the mechanisms governing this Levy flight behaviour remains limited. Here we analyze over 72 000 people's moving trajectories, obtained from 50 taxicabs during a six-month period in a large street network, and illustrate that the human mobility pattern, or the Levy flight behaviour, is mainly attributed to the underlying street network. In other words, the goal-directed nature of human movement has little effect on the overall traffic distribution. We further simulate the mobility of a large number of random walkers, and find that (1) the simulated random walkers can reproduce the same human mobility pattern, and (2) the simulated mobility rate of the random walkers correlates pretty well (an R square up to 0.87) with the observed human mobility rate.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
