Generating Random Hyperfractal Cities
Geoffrey Deperle (TRiBE), Philippe Jacquet (TRiBE)

TL;DR
This paper introduces a method for generating realistic, interconnected hyperfractal city models by extending simple fractal models with tiling structures, enabling detailed urban segmentation and visualization.
Contribution
It presents a novel approach to model complex cities using hyperfractals and tiling, allowing for interactive generation and segmentation of urban layouts.
Findings
Successfully generates interconnected hyperfractal city models
Enables city segmentation into districts via fractal analysis
Provides tools for numerical city generation
Abstract
This paper focuses on the challenge of interactively modeling street networks. In this work, we extend the simple fractal model, which is particularly useful for describing small cities or individual districts, by constructing random cities based on a tiling structure over which hyperfractals are distributed. This approach enables the connection of multiple hyperfractal districts, providing a more comprehensive urban representation. Furthermore, we demonstrate how this decomposition can be used to segment a city into distinct districts through fractal analysis. Finally, we present tools for the numerical generation of random cities following this model.
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Taxonomy
TopicsUrban Design and Spatial Analysis · Human Mobility and Location-Based Analysis · Data Management and Algorithms
