基于多源数据的街道空间绿化品质测度与设计提升——以福州市鼓楼区为例  

Measurement and Planning Design Improvement of Street Greening Quality based on Multi Source Data:A Case Study of Gulou District,Fuzhou City

作　　者：张健 

机构地区：[1]国网思极位置服务有限公司政企事业部

出　　处：《建筑与文化》2024年第10期274-277,共4页Architecture & Culture

摘　　要：街道空间绿化的品质对居民尤其是行人的生活质量至关重要,但由于传统的研究方法受到数据获取及收集难度的影响,相关研究多为定性描述。文章选取福州市鼓楼区作为研究对象,利用卫星遥感影像、腾讯街景数据和手机信令数据等多种数据源,结合传统的遥感解译方法,对比分析了鼓楼区的街道绿视率和植被覆盖率在空间分布上的差异性,并进一步将结果与鼓楼区分时段的人群分布情况耦合,最终基于人本视角提出了优化街道空间绿化品质的设计提升策略。The quality of street greening is crucial for the quality of life of residents,especially pedestrians.However,traditional research is limited by the difficulty of data acquisition,and research related to street greening is mostly qualitative.Gulou District,Fuzhou City,is used as an illustration in the paper.Satellite remote sensing images,Tencent Street View data,and mobile signaling data are combined with traditional remote sensing interpretation to measure and contrast the street green view rate and vegetation coverage rate of Gulou District,and further couple it with the population distribution of Gulou across various time periods.Finally,a design improvement strategy for intensive street greening quality is proposed.

关 键 词：绿视率(GVI) 绿化品质 街景数据 

分 类 号：TU984.113[建筑科学—城市规划与设计] TU985.2