Fractal-Based Exponential Distribution of Urban Density and Self-Affine Fractal Forms of Cities

TL;DR

This paper reveals that urban density follows a fractal-based exponential distribution, indicating self-affine scaling and fractal properties in city structures, with empirical validation from Hangzhou, China.

Contribution

It introduces a fractal perspective to urban density distribution, linking exponential models to self-affine fractal structures and proposing a three-layer city model.

Findings

Urban density exhibits self-affine fractal scaling.

The scale parameter varies with the urban field.

A three-ring city model is proposed.

Abstract

Urban population density always follows the exponential distribution and can be described with Clark's model. Because of this, the spatial distribution of urban population used to be regarded as non-fractal pattern. However, Clark's model differs from the exponential function in mathematics because that urban population is distributed on the fractal support of landform and land-use form. By using mathematical transform and empirical evidence, we argue that there are self-affine scaling relations and local power laws behind the exponential distribution of urban density. The scale parameter of Clark's model indicating the characteristic radius of cities is not a real constant, but depends on the urban field we defined. So the exponential model suggests local fractal structure with two kinds of fractal parameters. The parameters can be used to characterize urban space filling, spatial correlation, self-affine properties, and self-organized evolution. The case study of the city of Hangzhou, China, is employed to verify the theoretical inference. Based on the empirical analysis, a three-ring model of cities is presented and a city is conceptually divided into three layers from core to periphery. The scaling region and non-scaling region appear alternately in the city. This model may be helpful for future urban studies and city planning.