摘要
城市公园作为城市空间要素的关键一环,对了解公园使用的影响因素具有重要意义。基于百度热力图数据对广州老城区46个公园的使用时空特征进行了剖析,并构建了地理加权回归(GWR)模型来探究公园内部因素和周边环境因素对公园使用的空间异质性。结果表明:公园规模、公园设施、建筑密度、路网密度、人口密度及土地利用混合度的边际作用表现出显著的空间异质性。通过对影响因素的深入了解,可为城市公园的规划和设计提供参考。
As a key part of urban space elements,urban parks have received much attention.It is of great significance to understand the factors affecting park use.However,the spatial heterogeneity of the relationship between the influencing factors and park use has been less touched.Therefore,46 parks in Guangzhou old town were selected as the research objects,and the Baidu heat map was used to analyze spatiotemporal distribution characteristics of park use.Then,the internal factors and surrounding environment factors were further explored the relationship with park use based on the geographically weighted regression(GWR)model.The study found that:There were differences in temporal and spatial characteristics of park use;The internal factors of parks and the surrounding environmental factors played an equally important role;The marginal effects of park size,park facilities,building density,road density,population density,and land use mixing exhibited significant spatial heterogeneity.The paper aims to provide suggestions and implications for the urban planner,designer,and manager through an in-depth understanding of the factors affecting park use.
作者
彭一升
王江萍
任亚鹏
Peng Yisheng;Wang Jiangping;Ren Yapeng(School of Urban Design,Wuhan University,Wuhan,Hubei 430072,China)
出处
《绿色科技》
2022年第9期1-7,14,共8页
Journal of Green Science and Technology
基金
国家自然科学基金面上项目(编号:52078388)。
关键词
公园使用
时空特征
百度热力图
地理加权回归
广州老城区
park use
temporal-spatial characteristics
Baidu heat map
spatial heterogeneity
geographically weighted regression