基于多源数据的中国城市绿化水平评价与分布格局研究  

Evaluation of Greening Level and Spatial Distribution Pattern of Chinese Cities Based on Multi-Source Data

作　　者：李丰婧 王雨晴 李栋[3] LI Fengjing;WANG Yuqing;LI Dong

机构地区：[1]清华大学中国新型城镇化研究院 [2]中国科学院大学 [3]清华大学城市治理与可持续发展研究院

出　　处：《城市环境设计》2023年第4期259-265,共7页Urban Environment Design

基　　金：清华大学城市治理与可持续发展研究院首都高端智库课题(20211160001);清华大学万科公共卫生与健康学院科研基金。

摘　　要：城市绿化作为城市环境的重要组成部分,是实现生态宜居、居民生活健康的重要发展途径。本文以中国120个地级以上城市为研究对象,基于多源数据在宏观层面全景评估中国城市绿化水平。本文通过融合政府统计数据、街景数据和遥感数据,构建包括街道绿视率、增强型植被指数、人均公园绿地面积、建成区绿地率、建成区绿化覆盖率构成的城市绿化水平评价体系,综合运用功效函数法、CRITIC方法测算“多源城市绿化指数(MUGI)”对2020年城市绿化水平进行评估。同时,运用全局Moran's I和局域Getis-Ord Gi*法识别城市绿化特征水平的地理分布差异特征。研究结果表明,多源城市绿化指数(MUGI)处于良好及以上水平的城市占比为42.5%。其中,城市间街道绿视率和增强型植被指数差异相对较大。地理分布上城市绿化水平具有集聚特征,长江以南地区城市绿化水平整体较高,东北、华北地区绿化水平相对滞后。As an important part of the urban environment,urban greening is an essential development path to achieve ecological livability and healthy living for residents.Based onmulti-source data,this study takes 120 cities in China as the research objects to assess the greening level of Chinese cities in amacro-level panorama.By integrating government data,street view data,and remote sensing data,this paper constructs an urban greening level evaluation system consisting of street green view rate,enhanced vegetation index,per capita green park area,built-up area green area rate,and built-up area green coverage rate,and evaluates the urban greening level in 2020 by using the efficacy functionmethod and CRITICmethod tomeasure the"multi-source urban greening index(MUGI)".meanwhile,moran's I and Getis-Ord Gi*methods were applied to identify the characteristics of differences in the geographical distribution of urban greening characteristic levels.The results showed the percentage of cities with amulti-source urban greenness index(MUGI)at good and above levels was 42.5%.Among them,the differences in the street greening rate and enhanced vegetation index between cities are relatively great.The geographic distribution of urban greening levels has a clustering feature,with the overall urban greening level in the south of Changjiang River being higher and the greening level in the northeast and north China relatively lagging.

关 键 词：街景数据 遥感数据 多源城市绿化指数 空间集聚 

分 类 号：TU985.127[建筑科学—城市规划与设计]