Mobile Phone Data Based Urban Functional Area Land Use Classification Algorithm

摘要

With the development of big data, mobile phone data are used to study the characteristic of transportation system in the last few years. Since the land use is important for urban planning and development, in this paper, an algorithm of determining urban functional area classification is proposed based on mobile phone data. Firstly, the number of residents in different period are selected to characterize semantics of land. Then, an unsupervised k-means clustering algorithm is applied to identify urban functional area. Four patterns of urban functional area could be identified such as workspace, residence, temporary workspace, and mixed area. All these findings could be helpful to the government for urban planning in the future.