摘要
城市内部居住环境的客观性评价有助于发现城市发展中暴露出的问题,有针对性地进行调整进而改善城市环境。以福州市中心城区为研究区,居住区为研究单元,利用气象监测数据、遥感影像数据、地图兴趣点数据、国土规划数据等多源数据,从环境健康舒适性、交通便捷性、城市安全性和生活方便性4方面构建城市人居环境监测体系,并使用优劣解距离法进行人居环境质量综合评价。结果表明:福州市中心城区人居环境水平差异性较大,整体上呈现出中心区域高、边缘地区低的特点。城区中部人居环境指数较高,东部和南部区域较低,西部和北部区域人居环境高值与低值混杂分布。各指标层中,交通便捷性和生活方便性的高-高集聚以及低-低集聚特征与人居环境高低值聚类分布较为一致,便捷的交通以及完备的服务设施对人居环境评价的影响较大;环境健康舒适性呈现城市内部低、边缘高的特点,而城市安全性呈现内部高、边缘低的特点。
The objective evaluation of human settlement in cities helps find the problems exposed in urban development and make targeted adjustments to improve urban environment.Taking the downtown of Fuzhou as the research area,the residential area as the research unit,using multi-source data such as meteorological monitoring data,remote sensing imagery,map points of interest data(POI),and land planning data,we constructed monitoring system of urban human settlement from four aspects:environmental health and comfort,traffic convenience,city safety,and life conve-nience.The TOPSIS method was used to conduct a comprehensive evaluation of human settlement.The results showed that the human settlement level of downtown Fuzhou was quite different,which was high in the central area and low in the peripheral areas.The human settlement index was high in the middle of the urban area,low in the eastern and southern areas,with mixed high and low values in the western and northern areas.In each index layer,the characteristics of high-high agglomeration and low-low agglomeration of traffic convenience and life convenience were consistent with the distribution of high and low value clusters of the human settlement.Convenient transportation and complete service facilities had a greater impact on human settlement.The environmental health and comfort were characterized by interior low and edge high of the city,while city safety was characterized by interior high and edge low.
作者
朱玉娇
姚晓婧
陈伟
何贞健
陈六嘉
杨丽娜
陈曙光
池天河
ZHU Yu-jiao;YAO Xiao-jing;CHEN Wei;HE Zhen-jian;CHEN Liu-jia;YANG Li-na;CHEN Shu-guang;CHI Tian-he(Institute of Information Technology Innovation,Chinese Academy of Sciences,Beijing 100094,China;School of Earth Science and Surveying Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China;Fuzhou Land and Resources Surveying and Mapping Team,Fuzhou National Land and Resources Big Data Manage-ment Center,Fuzhou 350007,China;Telihui Information Technology Co.,Ltd.,Fuzhou 350003,China)
出处
《应用生态学报》
CAS
CSCD
北大核心
2020年第8期2721-2730,共10页
Chinese Journal of Applied Ecology
基金
国家自然科学基金项目(41701438)
福州宜居指标评估项目(Y9B0530)资助。
