IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i12p2251-d1550069.html
   My bibliography  Save this article

Digital Characteristics of Spatial Layout in Urban Park Scene Space: Spatial Classification, Quantitative Indicators, and Design Applications Based on Completed Park Cases

Author

Listed:
  • Boqing Fan

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Jia Gu

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Shucheng Ai

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Xi Chen

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Siying Du

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Yuning Cheng

    (School of Architecture, Southeast University, Nanjing 210096, China)

Abstract

Urban parks are important components of the urban green space system, providing residents with a variety of leisure options. The design’s focal point is the spatial layout of the different use scenarios within these parks. Previous studies have largely concentrated on the scene and macro layout of urban public spaces but have not thoroughly investigated the digital characteristics and corresponding parametric methods for the layout of different internal use scenes in urban green spaces. This research selected 18 urban parks from various global regions as case samples and categorized eight typical park scene space types based on common activity scene requirements in park design using AutoCAD to identify vector boundaries in each sample. To examine the digital characteristics of these scene space types, a quantitative index system was established, including spatial density and scale indicators, spatial connection relationship indicators, and spatial unit morphology indicators. The analysis of these indicators across the samples shows that the number of scene spaces is positively correlated with the total park area, while natural experience scenes constitute the largest proportion of urban parks. Different scene types exhibit distinct spatial layouts; for example, circulation spaces demonstrate high connectivity due to their role in directing visitor flow. Some spaces exhibit a more fixed scale and size, while others vary considerably. Finally, this research develops a parametric design framework using the Grasshopper platform. By taking a park in Nanjing as a case study, this paper illustrates how to utilize digital layout features to generate scene space layouts, offering insights into intelligent generative design. This approach provides a structured method to enhance urban park design through the application of digital and parametric tools, contributing to the broader field of urban park design.

Suggested Citation

  • Boqing Fan & Jia Gu & Shucheng Ai & Xi Chen & Siying Du & Yuning Cheng, 2024. "Digital Characteristics of Spatial Layout in Urban Park Scene Space: Spatial Classification, Quantitative Indicators, and Design Applications Based on Completed Park Cases," Land, MDPI, vol. 13(12), pages 1-28, December.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2251-:d:1550069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/12/2251/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/13/12/2251/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoxiang Tang & Cheng Zou & Chang Shu & Mengqing Zhang & Huicheng Feng, 2024. "Research on Site Selection Planning of Urban Parks Based on POI and Machine Learning—Taking Guangzhou City as an Example," Land, MDPI, vol. 13(9), pages 1-18, August.
    2. Qin Li & Shuangning Lv & Zonghao Chen & Jingya Cui & Wenlong Li & Yijun Liu, 2024. "Traditional Villages’ Cultural Tourism Spatial Quality Evaluation," Sustainability, MDPI, vol. 16(17), pages 1-19, September.
    3. Junze Liu & Xiaoyuan Huang & Huijun Guo & Zhuoya Zhang & Xiaona Li & Mengxiao Ge, 2022. "Study on Functional Zoning Method of National Park Based on MCDA: The Case of the Proposed “Ailaoshan-Wuliangshan” National Park," Land, MDPI, vol. 11(11), pages 1-15, October.
    4. Yijing Wang & Yuning Cheng & Sisi Zlatanova & Shi Cheng, 2024. "Quantitative Analysis Method of the Organizational Characteristics and Typical Types of Landscape Spatial Sequences Applied with a 3D Point Cloud Model," Land, MDPI, vol. 13(6), pages 1-19, May.
    5. Dan McCole & Tatiana A. Iretskaia & Elizabeth E. Perry & Jungho Suh & John Noyes, 2022. "Park Design Informed by Stated Preference Choice: Integrating User Perspectives into the Development of an Off-Road Vehicle Park in Michigan," Land, MDPI, vol. 11(11), pages 1-18, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bin Zhao & Hao Zheng & Xuesong Cheng, 2024. "A Machine Learning Approach to Predict Site Selection from the Perspective of Vitality Improvement," Land, MDPI, vol. 13(12), pages 1-31, December.
    2. Asyma Koshim & Aigul Sergeyeva & Yerkin Kakimzhanov & Aliya Aktymbayeva & Mereke Sakypbek & Akmaral Sapiyeva, 2023. "Sustainable Development of Ecotourism in “Altynemel” National Park, Kazakhstan: Assessment through the Perception of Residents," Sustainability, MDPI, vol. 15(11), pages 1-18, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2251-:d:1550069. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.