Yakubo K, Saijo Y, Korošak D
Department of Applied Physics, Hokkaido University, Sapporo 060-8628, Japan.
University of Maribor, Slomškov trg 15, Maribor SI-2000, Slovenia.
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Aug;90(2):022803. doi: 10.1103/PhysRevE.90.022803. Epub 2014 Aug 4.
Using a geographical scale-free network to describe relations between people in a city, we explain both superlinear and sublinear allometric scaling of urban indicators that quantify activities or performances of the city. The urban indicator Y(N) of a city with the population size N is analytically calculated by summing up all individual activities produced by person-to-person relationships. Our results show that the urban indicator scales superlinearly with the population, namely, Y(N)∝N(β) with β>1, if Y(N) represents a creative productivity and the indicator scales sublinearly (β<1) if Y(N) is related to the degree of infrastructure development. These results coincide with allometric scaling observed in real-world urban indicators. We also show how the scaling exponent β depends on the strength of the geographical constraint in the network formation.
使用无标度地理网络来描述城市中人与人之间的关系,我们解释了量化城市活动或表现的城市指标的超线性和亚线性异速生长缩放。通过对人与人之间关系产生的所有个体活动进行求和,解析计算出人口规模为N的城市的城市指标Y(N)。我们的结果表明,如果Y(N)表示创造性生产力,城市指标与人口呈超线性缩放,即Y(N)∝N(β)且β>1;如果Y(N)与基础设施发展程度相关,则指标呈亚线性缩放(β<1)。这些结果与现实世界城市指标中观察到的异速生长缩放一致。我们还展示了缩放指数β如何取决于网络形成中地理约束的强度。