Abstract: Analysis on urban population flow can help to make rational distribution of social resources, cope with traffic pressure and maintain public order, etc. The traditional manual analysis methods, such as questionnaire and interview, can not deal with this task efficiently. The continuous development and prevalence of smart phones bring great convenience to people′s daily life and users′ trajectory data generated by the connection between smart phones and base stations, which makes it possible to implement this task. However, trajectory data is massive and has low quality, which brings great challenge to related work. We propose a distributed framework for population flow analysis by using multiple computing nodes, thus greatly enhancing efficiency and scalability. In this paper, we use the massive trajectory data to analyze the behavior of urban population flow. We model flowing behavior among cities and among innercity districts, and decide the work place and living place of each person. Compared with the traditional methods, our method is cheaper and more efficient.

Key words: population flow, trajectory data, distributed framework