大数据在绿地规划设计中多尺度应用进展综述  

The Multi-Scale Application Summary on Big Data in Green Space Planning and Design

作　　者：李凤仪 李方正[2] LI Fengyi;LI Fangzheng

机构地区：[1]青岛农业大学园林与林学院 [2]北京林业大学园林学院

出　　处：《西部人居环境学刊》2019年第5期63-71,共9页Journal of Human Settlements in West China

基　　金：青岛农业大学高层次人才科研基金（663/1118019）;教育部人文社科基金项目（19YJC760042）;北京市自然科学基金资助项目（8194071）;中国博士后科学基金资助项目（2018M641222）;中央高校基本科研业务费专项资金资助（BLX201808）

摘　　要：大数据技术实现了风景园林规划的技术革新以及规划设计参与主体的拓展,为绿地规划设计带来了新的机遇.本文较为全面地总结了大数据在绿地规划设计领域应用的方式和思路,从宏观、中观、微观三种尺度分析绿地规划设计中大数据的应用:在宏观尺度上,大数据可用于研究城市范围内不同绿地使用的规律以及导致绿地使用空间差异性的影响因素,也可以帮助决策绿地规划选址;在中观尺度上,大数据可用于指导绿道、风景名胜区规划等风景园林专类规划;在微观尺度上,可利用大数据分析游客在绿地中的活动行为与空间喜好,以指导绿地设计与改造.本文以期为在绿地规划设计中更科学有效地应用大数据提供新的思路.With the development of ICT(information and communications technology) and Io T(Internet of Things) technology and the promotion of data publicity, the breakthrough and application of data acquisition, processing and visualization technology, the world has entered the era of big data. Landscape Architecture, as an applied discipline, is becoming more and more important to quantitatively measure the function and use of green space. Big data makes up for the shortage of traditional data, and provides a scientific and effective research basis for green space planning and design. Therefore, the application of big data in green space planning and design has been paid more attention to, and has launched exploration and practice. Based on the clue of the development of multi-scale application of big data in green space planning and design, this paper summarized the sources and application of big data in green space planning and design, the research route of big data, the multi-scale application of big data in green space planning and design, the limitations and improvement measures of big data, and the application trend of big data in green space planning and design.According to the time characteristics of data generation, this paper divided data into realtime collected activity data and post-uploaded activity information data. The former can also be divided into spatial location data and behavior trajectory data. The data characteristics and application modes were analyzed in this paper.Traditional research methods of landscape architecture are mostly based on sampling data, which is totally different from the research route and process of big data. The research of big data adopts as many data as possible. Its research process can be divided into four steps: determine big data type, data acquisition and integration to form data resources, data mining and analysis, data result analysis.Under the background of smart cities construction, massive, high-precision and effective human activity data can be used to analyze and

关 键 词：大数据 城市绿地 多尺度 风景园林 

分 类 号：TU984.182[建筑科学—城市规划与设计]