摘要
大数据时代来临,基于地理位置信息的大数据为人居环境学科的研究者提供了全新的视角。大量文献证明大数据在公园绿地的研究中具有重大的理论意义和实践价值。该文以武汉市主城区公园绿地为研究对象,利用百度地图热力图移动大数据进行绿地使用研究,分析了武汉市主城区公园绿地使用空间分布特征。研究结果表明:武汉市主城区内公园绿地高热区域主要集中在汉口中心城区和武珞路—珞瑜路沿线,绿地周边人口密度和综合通配套对使用率有极大影响;公园绿地单体面积对空间使用率有较强影响,单体面积较大的公园绿地内部空间更为功能多样化,普遍空间使用率偏低。在工作日、周末、假日一天内公园绿地使用面积变化规律基本相似,但在使用面积和热度聚集特征上表现出较大差异。
With the advent of the big data era, big data based on location information provide a new perspective for researchers in the field of human settlements. A large number of documents prove that big data has great theoretical and practical value in the study of green space. In this paper, the main city green space of Wuhan as the research object, using the Baidu heat map data for green space use research, we analyze the green space distribution characteristics. The results show that the high heat area of green space in the main urban area of Wuhan is mainly concentrated in the central urban area of Hankou and the both sides of Wuluo Road-Luoyu Road, the population density and comprehensive matching around the green space have a great impact on the utilization rate. The single green space area has a strong influence on the space use rate, and the space of the park green space with large area is more functional and diversified, and the space use rate is low. During the working day, weekend and holiday, the change rule of the use area of green space is basically similar, but it shows great difference in the use area and accumulation characteristics.
作者
刘育晖
章迟
侯云鹏
Liu Yuhui;Zhang Chi;Hou Yunpeng
出处
《华中建筑》
2018年第11期77-81,共5页
Huazhong Architecture
基金
湖北省自然科学基金资助项目(编号:2016CFB618)
