国内大学校园的规划布局量形数据集构建及应用
Construction and Application of Index and Form Dataset for Chinese Domestic University Campuses layout
Citation
汪瑜娇, 陈宇龙, 唐芃. 国内大学校园的规划布局量形数据集构建及应用[C]// 2023计算性设计学术论坛暨中国建筑学会计算性设计学术委员会年会.数智赋能·设计未来：2023计算性设计学术论坛暨中国建筑学会计算性设计学术委员会年会论文集.中国矿业大学出版社,2024.ISBN:978-7-89537-034-0.
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摘要
当下中国大学校园建设规模庞大、功能复杂，大学校园的规划设计需充分考虑建设指标、城市环境及校园形态设计要求，综合决策校园的功能、体量、布局等。面对大量建设的需求和复杂的设计要求，大学校园规划工作流程的清晰化、高效化亟需实现。本研究提出一种用于描述校园规划阶段多层级的建设信息的结构化的数据集，尝试辅助一般的大学校园规划的初期建设量规划和量形统筹问题。首先，以功能分区作为校园规划阶段量形交互的媒介，构建了“校园—分区—建筑列表—建筑”的数据结构；其次，通过解析一般工作方法和校园建设规范，程序化转译建设量配置的过程，由预定义的规范和建设目标快速计算各项指标填充数据集，并将数据转化为用地和建筑的三维模型呈现。在该方法基础上设计人机交互界面，提供快速计算校园建设信息、调节建筑和用地指标并实时三维 的交互工具。最后，基于一项生成的校园数据集实例，利用二次分配的生成算法生成了一系列规则限定的结果。实验表明，本研究形成的校园数据集构建方法具有准确性、高效性，能够为校园规划后续布局设计或生成的提供可靠的基础。
关键词
大学校园规划； 量形转化； 数据驱动； 人机交互
Abstract
The current construction of Chinese university campuses exhibits immense scale with intricate functions, necessitating meticulous consideration of various factors during the planning phase. Comprehensive decision-making is crucial in determining the campus’s functions, scale, and layout, integrating construction indicators, urban context, and morphological design requirements. Thus, there is an urgent need to streamline and enhance the efficiency of the campus planning workflow. To address these challenges, this study introduces a structured campus dataset tailored for capturing multi-level construction information, to support the initial stages of construction volume planning and the integration of index and form considerations. First, a hierarchical data structure, spanning from the overall campus level down to individual buildings is developed with functional zones as the media between index and form. By analyzing established work methods and adhering to campus construction specifications, the dataset is populated with metrics calculated based on predefined standards and construction demands. These data are then translated into three-dimensional models, representing both land use and building configurations. The visual representation facilitates decision-making and communication. Furthermore, a user-friendly human-computer interaction interface is designed to enhance the usability of the dataset. A case study is conducted using a generated campus dataset and MQP is employed to generate a range of rule-based outcomes. Experimental results demonstrate the accuracy and efficiency of the dataset construction method, highlighting its potential to provide a solid foundation for subsequent layout design or generation in campus planning.
Keywords
Historic residential area; Conservation and renewal; Multi-scale hierarchy; Typo-morphology; Analytic model
