A Generative Urban Space Design Method Based on Shape Grammar and Urban Induction Patterns

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Abstract

This paper focuses on how to solve the demand of how to quickly explore more urban space design and layout in terms of the conservation and reuse of historical blocks under computer-aided design technology. Referring to urban inductive patterns, the author establishes an urban space design grammar of historical districts based on shape grammar and pattern language. It forms a complete generative urban space design method involving morphological analysis, rule-making, and scheme generation. Furthermore, taking the typical Russian-style historical block along the Chinese Eastern Railway—the historical district in front of Anda Station as an application example—this paper completed the generative urban space design process of block redevelopment and environmental reconstruction, which, using computer-aided technology, was under the premise of protecting the original historic block fabric. The final two group results of the experimental plot and the other plots of the historical district show that this method can quickly and accurately generate lots of urban space design schemes that meet the designers’ pre-thinking, and these schemes can be modified by real-time calculation and interactive operation.

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APA

Yang, L., Li, J., Chang, H. T., Zhao, Z., Ma, H., & Zhou, L. (2023). A Generative Urban Space Design Method Based on Shape Grammar and Urban Induction Patterns. Land, 12(6). https://doi.org/10.3390/land12061167

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