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Entropy and order in urban street networks

机译:城市街道网络中的熵和秩序

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摘要

Many complex networks erase parts of their geometry as they develop, so that their evolution is difficult to quantify and trace. Here we introduce entropy measures for quantifying the complexity of street orientations and length variations within planar networks and apply them to the street networks of 41 British cities, whose geometric evolution over centuries can be explored. The results show that the street networks of the old central parts of the cities have lower orientation/length entropies - the streets are more tightly ordered and form denser networks - than the outer and more recent parts. Entropy and street length increase, because of spreading, with distance from the network centre. Tracing the 400-year evolution of one network indicates growth through densification (streets are added within the existing network) and expansion (streets are added at the margin of the network) and a gradual increase in entropy over time.
机译:许多复杂的网络会随着其发展而擦除其几何结构的某些部分,因此其演化过程难以量化和追踪。在这里,我们介绍了用于量化平面网络内街道方向和长度变化的复杂性的熵测度,并将其应用于41个英国城市的街道网络,这些城市的几何演变可以探讨几个世纪。结果表明,与外围地区和较新的部分相比,城市中部旧城区的街道网络的取向/长度熵更低-街道更紧密且形成更密集的网络。由于扩散,信息熵和街道长度随着距网络中心的距离而增加。追踪一个网络的400年演变过程表明,通过密集化(在现有网络中添加了街道)和扩展(在网络边缘添加了街道)进行了增长,并且熵随着时间的推移逐渐增加。

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