基于多元数据的大都市区范围划定方法研究——以武汉为例

Study on the Method of Metropolitan Area Delimitation Based on Multidata: A Case Study of Wuhan

大都市区是参与全球经济竞争的主要载体,但由于其概念内涵及界定标准仍处于研究阶段,造成对大都市区空间边界认知的不清晰。同时,传统大都市区范围划定的方法囿于数据获取的困难,其方法大多粗阔,因此所划定的都市区范围不够明晰精准。随着通信信息技术的发展,人口流、交通流、信息流等城市流数据可获取性提高,使得区域之间人口、物资、信息、技术等方面的联系得以精准、直观展示的研究方法越来越受欢迎。在此背景下提出基于遥感影像的城市土地联系分析方法、基于客运班次数据的交通联系分析方法、基于总部—支部数据的产业联系分析方法以及基于交通时间约束法、城市腹地划分法、网络搜索数据的城市联系强度综合评价法,对武汉大都市区范围划定进行了应用研究,取得了较好的成果。

Metropolitan area is the main carrier of global economic competition. Since its concept and definition standard is still at the researching stage, the cognition of metropolitan area boundary is unclear. Meanwhile, the traditional method of metropolitan area delimitation is constrained by the difficulty of data acquisition, which is too extensive to define the scope of metropolitan area accurately. With the development of Communication and Information Technology, the availability of city flow data such as the population fow, the traffc fow, the information fow is improved. It makes the research method more and more popular, which can intuitively and accurately reveal the connection between two regions in population, material, information, technology and other aspects. This paper puts forward the city land contact analysis method based on remote sensing image, the traffc contact analysis method based on passenger fight data, the industry contact method based on headquarters - branch data and the urban comprehensive evaluation method based on the web search data, the traffc time constraint method, the urban hinterland division method. Taking Wuhan as an application object, the research achieved good results.