摘要
多中心城市空间结构的测度与识别是城乡规划研究的热点议题:对此,论文首先从功能、等级、形态3个维度概述了多中心城市研究的内容;其次分析了用于多中心识别的数据类型,包括地理信息数据、位置大数据以及经济社会数据;最后将识别内容与数据类型进行关联,认为数据类型的选择应同识别中心的功能、等级、形态相一致,而数据类型、规模、更新周期则限制了识别类型的多样性:基于此,对我国多中心城市研究提出展望和优化建议。
It is very important to identify and measure for the spatial structure of poly-center cities,because it is one of the hottest topics for urban and village planning.In the paper,the authors summarize the contents of the studying poly-center cities on three dimensions,which are function,rank and form.And the authors analyze the data types for identifying multicenter,including geographic information data,location data,economic and social data.So,by associating the identified content with the data type,the authors think that the selecting types of data should be consistent with the function,grade and morphology of the identification center,while the data type,scale and update period limit the diversity of the identification types.At last,the authors put forward the prospect and optimization suggestions for studying poly-center cities in China.
出处
《现代城市研究》
北大核心
2022年第6期47-53,共7页
Modern Urban Research
基金
国家自然科学基金项目“城市多中心开发对破源碳汇的影响机制与政策响应”(41871216)。
关键词
多中心识别
功能
等级
形态
数据类型
polycentric recognition
function
grade
shape
data type