Scaling Beyond Cities
Scaling Beyond Cities
复制标题
超越城市
DOI：
10.3389/fphy.2022.858307
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
S. Bishop
中科院分区：
文献类型：
--
作者：
R. Prieto Curiel;C. Cabrera;S. Bishop
在试图了解城市生活时，城市人口规模是一个至关重要的衡量标准。许多社会经济指标与城市规模呈超线性关系，而一些基础设施指标与城市规模呈次线性关系。然而，规模的影响也超出了城市的限制。在这里，我们通过考虑附近城市的出现和发展来分析城市边界以外的规模行为。基于非洲大陆城市的城市网络，我们构造了一个算法来创建城市的影响区域。然后在城市规模的背景下分析受影响区域内的城市数量和人口。我们的结果与随机排列的网络进行了比较，表明观察到的城市促进城市崛起和增长的伸缩力并不是随机性的结果。通过改变城市的影响半径，我们观察到了三个制度。大城市往往在很短的距离内被许多小城镇包围。对于中等距离(114公里以上)，大城市被许多其他人口众多的城市所包围。大城市促进了城市的兴起和发展(甚至超过190公里)，但它们的扩展能力随着距离的增加而减弱。
City population size is a crucial measure when trying to understand urban life. Many socio-economic indicators scale superlinearly with city size, whilst some infrastructure indicators scale sublinearly with city size. However, the impact of size also extends beyond the city’s limits. Here, we analyse the scaling behaviour of cities beyond their boundaries by considering the emergence and growth of nearby cities. Based on an urban network from African continental cities, we construct an algorithm to create the region of influence of cities. The number of cities and the population within a region of influence are then analysed in the context of urban scaling. Our results are compared against a random permutation of the network, showing that the observed scaling power of cities to enhance the emergence and growth of cities is not the result of randomness. By altering the radius of influence of cities, we observe three regimes. Large cities tend to be surrounded by many small towns for small distances. For medium distances (above 114 km), large cities are surrounded by many other cities containing large populations. Large cities boost urban emergence and growth (even more than 190 km away), but their scaling power decays with distance.
DOI：
10.1016/j.physa.2006.01.051
发表时间：
2006-04-15
影响因子：
3.3
作者：
Lämmer, S;Gehlsen, B;Helbing, D
通讯作者：
Helbing, D
非洲城市增长的空间模式建模。
影响因子：
4.9
作者：
Linard, Catherine;Tatem, Andrew J.;Gilbert, Marius
通讯作者：
Gilbert, Marius