摘要
为了精准识别和评估城市低效用地,提升城市现有土地利用效率,文章采用标准差椭圆分析、核密度分析法和GIS加权叠加分析方法,对张家口市桥东区低效用地进行了识别与再开发潜力测算研究.分析结果表明:(1)桥东区低效用地图斑数量较少,但面积占比较大,主要为工业用地和城镇住宅用地;(2)桥东区低效用地主要集中在三个区域:桥东区与桥西区交界处、桥东区北部和空港经济开发区,具有一定的空间聚集的特征;(3)桥东区低效用地再开发潜力较大,其中住宅用地和工业用地的再开发潜力最大.因此,相较于传统的低效用地识别与再开发潜力测算方法,多源数据的应用将大幅提升低效用地识别与再开发潜力测算的精确性和科学性,并具有较强的可操作性.
To accurately identify and assess urban low-utility land,improve the efficiency of existing land use in the city,and promote high-quality urban development.Standard deviation ellipse analysis,kernel density analysis method,and GIS weighted overlay analysis method were used to conduct a study on identifying and measuring the redevelopment potential of low utility land in Qiaodong District,Zhangjiakou City.The analysis results show that:(1)the number of low-utility land patches in Qiaodong District is relatively small,but the area accounts for a large proportion of the land,mainly industrial land and urban residential land;(2)the low-utility land in Qiaodong District is mainly concentrated in three areas:the border between Qiaodong District and Qiaoxi District,the northern part of Qiaodong District,and the Airport Economic Development Zone,which is characterized by a certain spatial agglomeration;(3)the low utility land in Qiaodong District has a large potential for redevelopment,with the greatest potential for redevelopment in the areas of residential land and industrial land.industrial land has the greatest redevelopment potential.Therefore,compared with the traditional method of identifying and measuring the redevelopment potential of low-utility land,the application of multi-source data will greatly improve the accuracy and scientificity of the identification and measurement of the redevelopment potential of low-utility land and has a strong operability.
作者
唐天鹏
崔英伟
李静
TANG Tianpeng;CUI Yingwei;LI Jing(School of Architecture and Art,Hebei Institute of Architecture and Engineering,Zhangjiakou 075000,China)
出处
《西安文理学院学报(自然科学版)》
2024年第2期103-111,共9页
Journal of Xi’an University(Natural Science Edition)
基金
河北建筑工程学院研究生创新基金资助项目(XY202271)
关键词
城市低效用地
多源数据
用地识别
潜力测算
urban low-utility land
multi-source data
site identification
potential calculation