摘要
城市空间结构识别是城市研究展开的基础,但传统识别方法存在耗时长、成本高、精度低等不足。城市空间结构是多维度的特征集合,主要存在人、地、业三种表征。使用多源数据和空间辅助分析探究人地业三种要素的空间分布和聚集情况,构建基于多源数据的城市空间结构识别理论和技术模型,得到人群活力分布、地块开发、区域核心等特征,能够准确识别城市空间结构实际状态。以邯郸市为例,识别并分析城市空间结构,提出优化策略。
Urban spatial structure identification is the basis of urban research,but traditional identification methods have shortcomings such as time-consuming,high cost,and low accuracy.The urban spatial structure is a multi-dimensional feature set,which mainly includes three kinds of representations:people,places and industries.Using multi-source data and space-assisted analysis to explore the spatial distribution and aggregation of the three elements of human,land and industry,then build a theoretical and technical model for urban spatial structure identification based on multi-source data,and obtain characteristics such as population vitality distribution,land development,and regional core,which can accurately identify the actual state of urban spatial structure.Taking Handan City as an example,the urban spatial structure is identified and analyzed,and optimization strategies are proposed.
作者
张苏妍
申双喜
王晓冬
Zhang Suyan;Shen Shuangxi;Wang Xiaodong(Hebei University of Engineering,Handan 056038,China)
出处
《廊坊师范学院学报（自然科学版）》
2022年第4期84-88,共5页
Journal of Langfang Normal University(Natural Science Edition)
基金
2020年河北省社会发展研究课题(20200302041)
2020年河北省文化艺术科学规划项目(HB20-YB099)。
关键词
多源数据
城市空间结构
识别优化
multi-source data
urban spatial structure
identification and optimization
