Abstract
Global urbanization has surged alongside economic growth. Cities now drive productivity and well-being but often at the expense of nature, escalating resource depletion, environmental degradation, and public health risks. Urban parks, crucial as “second nature,” mitigate these issues through green interventions. Current research on park design, focusing on aesthetics and ecology, lacks systematic methodologies, relying on subjective approaches like AHP, SBE, and SD. This paper integrates digital technologies and computational methods to enhance plant landscape design's scientific rigor. It explores using computer vision and machine learning to automate visual data extraction from images, aiming to reduce subjectivity and improve objectivity in landscape evaluation. It argues that integrating humanities into design fosters meaningful visual communication, vital for sustainable urban development Ultimately, the paper proposes a framework merging computational techniques with design sensibilities to elevate urban park ecological and aesthetic qualities.
Published Version
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