随机平面图与伦敦街道网络
Random planar graphs and the London street network
摘要：
在本文中，我们分析了伦敦的街道网络在其主要和双重表示。为了理解它的性质，我们考虑三个理想化的模型的基础上的网格，一个静态的随机平面图和一个不断增长的随机平面图。比较模型和街道网络，我们发现，伦敦的街道形成了一个自组织的系统，其增长的特点是由一个严格的相互作用的度量和信息空间。特别是，最小努力原则似乎在城市导航所需的体力和脑力之间创造了一种平衡。
英文摘要：
In this paper we analyse the street network of London both in its primary and dual representation. To understand its properties, we consider three idealised models based on a grid, a static random planar graph and a growing random planar graph. Comparing the models and the street network, we find that the streets of London form a self-organising system whose growth is characterised by a strict interaction between the metrical and informational space. In particular, a principle of least effort appears to create a balance between the physical and the mental effort required to navigate the city.
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。
