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。 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.
出处 《中国园林》 CSCD 北大核心 2021年第4期69-74,共6页 Chinese Landscape Architecture
基金 国家自然科学基金重点项目(编号51838003) 中央高校基本科研业务费专项资金项目 江苏省普通高校研究生科研创新计划资助项目(编号KYLX16_0294)共同资助。
关键词 风景园林 城市公园 数字技术 行为模拟 优化设计 landscape architecture urban park digital technology behavior simulation optimization
