Randomized trial establishes a segmented fractal model for road network distribution features, indicating improved analysis methods.
Key Points
This study aims to develop a segmented fractal model to better represent the spatial distribution of urban road networks.
Established a segmented fractal model to analyze road networks from developed cities and characterized spatial distribution features.
Divided road networks into two regions based on a segmented point and assessed fractal dimensions for each region.
Analyzed correlations between segmented point parameters and spatial distribution metrics including standard distance and axes.
The segmented fractal model effectively reflects nonuniform spatial distributions, dividing networks into two growth regions.
Fractal dimensions indicated heterogeneity in road networks' length growth, with significant positive correlations: 0.89 (standard distance), 0.92 (semi-major), and 0.85 (semi-minor) with the segmented point.
The segmented point serves as a valuable quantitative reference, enhancing urban transport planning strategies.