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Simulation study demonstrates improved landscape generation efficiency and natural similarity in residential communities, highlighting computational fractal modeling for urban design.
To address the limitations of natural simulation and personalized adaptability in landscape design, this paper proposes a fractal geometry-based virtual generation scheme that integrates fractal spatial logic and multi-scale geometric modeling to enhance the spatial efficiency and aesthetic complexity of residential environments. By integrating the iteration principle of the Mandelbrot set and parallel computing technology, a multi-scale fractal landscape generation model is constructed to realize the parametric generation and dynamic optimization of landscape elements such as terrain, vegetation and water bodies. Taking 3 typical residential communities as empirical objects, the effectiveness of the technology is verified through comparative experiments: after optimization, the landscape generation efficiency is increased by 61.8%, the natural similarity score is increased by 23.4 points, and the space utilization rate is improved by 18.7%. The research shows that fractal geometry technology can significantly enhance the natural attributes of residential landscapes by simulating complex self-similar spatial structures, providing a new technical path for improving the functional value of residential landscape design.
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Han et al. (2026) studied this question.
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