A tourist flows analysis system based on phone big data

The analysis of tourist flows behavior can help to achieve the reasonable allocation of social resources for tourist area and respond effectively to the tourist destination traffic pressure, maintain social public security, etc. The traditional manual analysis methods, such as questionnaire survey, have the characters of the high cost and low efficiency. With the development and popularity of smart phones in the daily life, on the one hand, it brings convenience for people. On the other hand, the user mobile trajectory data provides the effective analysis of tourist flows behavior. This paper presents a framework for the analysis of the distributed tourist flows, and uses the multi-node processing tasks, thus to improve the performance and scalability of the algorithm. It takes advantage of the mobile track data provided by the mobile phone operators to analyze the tourist flows, and establish several models, including the vacation destination's tourist flows behavior analysis model and habitual residence's tourists analysis model. Compared with the traditional methods, this scheme has lower cost, higher efficiency and wider coverage.