| 摘要: |
| 在城市存量空间更新的进程中，社区公园作为重要
的公共空间之一，对其制定开放策略、优化空间形态和丰富人
群绿地活动方式是塑造高品质城市环境的关键。过往研究持续
聚焦于人群行为特征与风景园林空间形态布局间的关联性，但
既有研究在人群绿地行为的数据获取、分析及模拟方面还存在
方法层面的局限。引入Anylogic平台中的社会力模型，基于
社区娱乐和游戏观察系统(SOPARC)等相关理论，结合人群
绿地行为特征提出了社区公园人群行为分析技术框架并构建起
“空间布局-绿地行为”分析模型，该方法涵盖“行为特征识
别-模型构建-多时空预测”3个关键步骤，旨在实现对社区公
园人群行为的精确模拟与预测。以南京511公园为案例，验证
了该方法在分析及实操层面的有效性及运用潜力，以期为后续
社区公园的规划设计及决策提供新的量化分析途径，进而提升
绿地空间品质。 |
| 关键词: 风景园林 数字化景观 人群活动行为 模拟仿
真 社区公园 多时空 |
| DOI：10.19775/j.cla.2024.11.0015 |
| 投稿时间：2024-03-11修订日期：2024-08-13 |
| 基金项目:国家自然科学基金青年科学基金项目(52108045)；
中国博士后科学基金特别资助项目(2022T150115)；中国博
士后科学基金面上资助项目(2021M700767)；江苏省博士
后科研资助计划项目(2021K024A)；山地城镇建设与新技术
教育部重点实验室开放基金项目(LNTCCMA-20240106) |
|
| A Multi-spatiotemporal Crowd BehaviorCharacteristics Simulation Method for CommunityPark Based on the Anylogic Platform and ItsApplication: A Case Study of 511 Community Park |
| CHENG Shi,ZHANG Dunsong,ZHANG Xiaohan |
| Abstract: |
| Under the background of stock renewal, the rational
opening and crowd use of community park green space is one of
the important research topics at present. Previous studies have
shown that full consideration of crowd behavior characteristics
is the key premise of rational landscape space planning, but there
are some subjectivity and limitations in obtaining and quantifying
crowd behavior information in landscape space in previous studies.
Based on the Anylogic platform, this paper proposes a simulation
framework of "actual behavior characteristics (multi-time period) -
model construction - prediction simulation (multi-time and space)"
to make up for the deficiency of existing research. Using the System
for Observing Play and Recreation in Communities (SOPARC) to
observe and classify actual crowd activity in community parks, a
"space-behavior" model is constructed and then used for crowd
usage prediction and simulation at multiple Spatio-temporal
scenario scales. This study selected Nanjing 511 Park as an example
to validate this method and its applicability. This proposed method
can provide support for the follow-up community park space
optimization and renewal and planning and design. |
| Key words: landscape architecture digital landscape crowd activity
behavior simulation community parks multi-spatiotemporal
simulation |
