| 摘要: |
| 行为模拟是对城市公园规划设计方案未来实际使用
情况的预期和研判，也是辅助方案优化调整的关键步骤。采用
集群智能方法及其微粒群算法，从微观视角模拟使用人群的漫
游行为，并随着模拟过程的推进观察使用者的动态活动轨迹与
分布特征，及时发现设计方案中存在的问题。在此基础上，进
一步利用空间句法分析，通过调整局部道路结构，改变待优化
区域与邻近人流密集区域之间拓扑深度的方式，实现方案优化
设计，从而形成自下而上行为模拟与自上而下空间分析相结合
的方案优化思路。以期为提高城市公园利用效率、建设优质的
景观空间提供新思路。 |
| 关键词: 风景园林 城市公园 数字技术 行为模拟 优
化设计 |
| DOI： |
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| 基金项目: |
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| Research on Optimization of Urban Park DesignBased on Swarm Intelligent Simulation and SpatialSyntax Analysis |
| MA Jie,CHENG Yuning |
| Abstract: |
| Behavior simulation is not only the expectation and
judgment of the future practical use of the urban green park
planning and design scheme, but also the key content of the
optimization and adjustment of the scheme design. Through the
cluster intelligence method and its particle swarm optimization
algorithm, the roaming behavior of users is simulated from a micro
perspective, and with the advancement of the simulation process,
the activity track is observed to find some forgotten landscape areas
in the planning scheme. On this basis, through further use of space
syntax, the optimal design is achieved by adjusting the local road
structure, and changing the topological depth between the area to
be optimized and the adjacent densely populated areas. Thus, the
optimization idea is developed by combining bottom-up behavior
simulation and top-down spatial analysis, which aims to provide a
new idea to improve the utilization efficiency of urban parks, and
build high-quality landscape space. |
| Key words: landscape architecture urban park digital technology behavior simulation optimization |
