论文标题
码头分享系统中缩放的出现
Emergence of scaling in dockless bike-sharing systems
论文作者
论文摘要
已经对人类流动性的基本定律进行了广泛的研究，但是我们仍然缺乏对共享运输方式的流动性模式的全面理解。由于旅行者在不久的将来可能不再拥有自己的运输工具，因此旅行者与共享自行车之间的相互作用是发展更可持续的运输的主要问题。记录每次旅行的详细信息的无码头自行车共享系统为我们提供了一个独特的机会，可以揭示骑行活动背后的隐藏模式。通过将每辆自行车视为个体实体，我们揭示了自行车的移动性指标的分布与人类完全不同。整个城市的流动模式甚至不一致。以上差异的所有上述差异都可以通过以通用缩放为特征的选择模型来很好地解释。我们的模型揭示了在最新的自行车中选择的，而是在使用条件条件下选定的自行车的等级值的分布表现出截短的幂律，并且尽管各种多样性各不相同，但在几个城市中还是很稳定。我们的框架将对共享经济产生广泛的影响，并有助于发展一个更绿色，更健康，更可持续的未来城市。
Fundamental laws of human mobility have been extensively studied, yet we are still lacking a comprehensive understanding of the mobility patterns of sharing conveyances. Since travellers would highly probably no longer possess their own conveyances in the near future, the interplay between travellers and sharing bikes is a central question for developing more sustainable transportation. Dockless bike-sharing systems that record detailed information of every trip provide us a unique opportunity for revealing the hidden patterns behind riding activities. By treating each bike as an individual entity, we reveal that distributions of mobility indicators of bikes are quite different from humans; and mobility patterns are even inconsistent across cities. All above discrepancies can be well explained by a choice model that is characterized by a universal scaling. Our model unveils that instead of choosing among the newest bikes, the distribution of rank values of selected bikes on usage condition manifests a truncated power-law and is quite stable across several cities despite various diversities. Our framework would have broad implications in sharing economy and contribute towards developing a greener, healthier, and more sustainable future city.
