Multifractal scaling analyses of urban street network structure: The cases of twelve megacities in China.

ABSTRACT: Traffic networks have been proved to be fractal systems. However, previous studies mainly focused on monofractal networks, while complex systems are of multifractal structure. This paper is devoted to exploring the general regularities of multifractal scaling processes in the street network of 12 Chinese cities. The city clustering algorithm is employed to identify urban boundaries for defining comparable study areas; box-counting method and the direct determination method are utilized to extract spatial data; the least squares calculation is employed to estimate the global and local multifractal parameters. The results showed multifractal structure of urban street networks. The global multifractal dimension spectrums are inverse S-shaped curves, while the local singularity spectrums are a

SUBMITTER: Long Y 

PROVIDER: S-EPMC7891711 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature