摘要
城市化水平高企背景下的高密度城区公园绿地是城市中稀缺的绿色开放空间,其有效、高效利用至关重要。文章以北京市属公园绿地为例,通过多元线性回归方法,探索标示城市公园绿地景观结构及其功能的环境特征指标与访客数量的相关关系。首先得到访客量预测方程并进行误差分析,其次通过预测方程计算访客量与实际访客量对比分析,验证方程可靠性并进行优化,最终得到预测公园绿地年访客量模型为V=-1098.020+3.047A-9.250A_(A)+31.784R_(P)+13.944R_(W)。研究定量化阐释公园绿地环境特征与访客数量的耦合作用机制,为高密度城区公园绿地基于高效利用的景观更新优化设计提供科学依据。
High-density urban park green spaces in the context of high urbanization levels are scarce green open spaces in cities,and their effective and efficient use is crucial.This paper explores the correlation between the environmental characteristics of urban park green spaces and the number of visitors at the level of landscape structure and landscape function by means of multiple linear regression,obtains a prediction equation for the number of visitors and conducts error analysis,and verifies the reliability of the equation by comparing the number of visitors calculated by the prediction equation with the actual number of visitors.The final model for predicting annual park visitor numbers was obtained as V=-1098.020+3.047A-9.250A_(A)+31.784R_(P)+13.944R_(W).The study quantifies the coupling mechanism between the environmental characteristics of park green spaces and the number of visitors,and the results provide a scientific basis for the optimal design of landscape renewal based on efficient use of existing park green spaces in urban highdensity areas.
作者
朱丹莉
潘剑彬
许传青
ZHU Danli;PAN Jianbin;XU Chuanqing
出处
《现代城市研究》
北大核心
2023年第10期119-123,132,共6页
Modern Urban Research
基金
国家自然科学基金项目“基于负氧舒适度的建筑室外绿地参数化景观设计基础研究”(51641801)
北京未来城市设计高精尖创新中心2019年度课题(UDC2019021824)
陕西省教育厅科研计划项目(自然科学专项)(21JK0727)。
关键词
高密度城区
公园规划设计
多元线性回归
景观偏好
high density urban areas
park planning and design
multiple linear regression
landscape preference