Ito Hidetaka, Nishinari Katsuhiro
Department of Aeronautics and Astronautics, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan.
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Dec;92(6):062815. doi: 10.1103/PhysRevE.92.062815. Epub 2015 Dec 11.
Social activities display bursty behavior characterized by heavy-tailed interevent time distributions. We examine the bursty behavior of airplanes' arrivals in hub airports. The analysis indicates that the air transportation system universally follows a power-law interarrival time distribution with an exponent α=2.5 and an exponential cutoff. Moreover, we investigate the mechanism of this bursty behavior by introducing a simple model to describe it. In addition, we compare the extent of the hub-and-spoke structure and the burstiness of various airline networks in the system. Remarkably, the results suggest that the hub-and-spoke network of the system and the carriers' strategy to facilitate transit are the origins of this universality.
社交活动呈现出以重尾事件间隔时间分布为特征的突发性行为。我们研究了枢纽机场飞机抵达的突发性行为。分析表明，航空运输系统普遍遵循幂律到达时间分布，指数α = 2.5且存在指数截断。此外，我们通过引入一个简单模型来描述这种突发性行为，进而研究其机制。另外，我们比较了系统中枢纽辐射式结构的程度以及各航空公司网络的突发性。值得注意的是，结果表明该系统的枢纽辐射式网络以及航空公司促进中转的策略是这种普遍性的根源。
