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

Author

Listed:
  • Ling Yang

    (School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou 310023, China
    Center of Urban and Rural Development, Zhejiang University of Science and Technology, Hangzhou 310023, China)

  • Jian Li

    (Planning & Design Headquarters, Beijing Infrastructure Investment Co., Ltd., Beijing 100101, China)

  • Hsiao-Tung Chang

    (Department of Architecture and Urban Design, Chinese Culture University, Taipei 11114, Taiwan)

  • Zhiqing Zhao

    (School of Architecture, Harbin Institute of Technology, Harbin 150001, China)

  • He Ma

    (School of Architecture, Harbin Institute of Technology, Harbin 150001, China)

  • Libin Zhou

    (College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou 350118, China)

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.

Suggested Citation

  • Ling Yang & Jian Li & Hsiao-Tung Chang & Zhiqing Zhao & He Ma & Libin Zhou, 2023. "A Generative Urban Space Design Method Based on Shape Grammar and Urban Induction Patterns," Land, MDPI, vol. 12(6), pages 1-21, June.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1167-:d:1161677
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    References listed on IDEAS

    as
    1. Haifeng Luo & Bor-Shuenn Chiou, 2021. "Framing the Hierarchy of Cultural Tourism Attractiveness of Chinese Historic Districts under the Premise of Landscape Conservation," Land, MDPI, vol. 10(2), pages 1-24, February.
    2. Robert Knippschild & Constanze Zöllter, 2021. "Urban Regeneration between Cultural Heritage Preservation and Revitalization: Experiences with a Decision Support Tool in Eastern Germany," Land, MDPI, vol. 10(6), pages 1-12, May.
    3. Elie Daher & Sylvain Kubicki & Annie Guerriero, 2017. "Data-driven development in the smart city: Generative design for refugee camps in Luxembourg," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 4(3), pages 364-379, March.
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    Cited by:

    1. Qin Li & Zonghao Chen & Jingya Cui & Jiaqi Lin & Wenlong Li & Yijun Liu, 2024. "Beijing Symbiotic Courtyard Model’s Post Evaluation from the Perspective of Stock Renewal," Sustainability, MDPI, vol. 16(14), pages 1-20, July.

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