| Citation: | LI Na, LIU Wenmin, MENG Fanrui, et al. Application of space time regional economy visualization based on telecom big data analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(2): 273-281. doi: 10.13700/j.bh.1001-5965.2020.0388(in Chinese)
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Currently, the number of mobile phone users in China has reached 1.59 billion. Under the huge population base, the telecom big data characteristics reflect the characteristics of crowd activities to a certain extent, which can reflect the development status of specific regions. The application of space time regional economy visualization processes and extracts the information from massive telecom big data by data mining technology to improve data quality and screens the data in different rules and extracts features by modeling techniques of the data. The data combined with multi-source information, such as electronic map data and traffic data are used to analyze user behavior characteristics from multiple perspectives. The application analysis makes use of the data to visualize and research the space time regional economic situation and analyze life attributes of the residents. At the same time, use the difference-in-differences (DID) model to evaluate regional economic policies. Based on the results of feature analysis, it can provide the decision-making basis for the location of regional economic development and guiding layout of urban business districts, improve the efficiency of urban system operation and expand the range of economic regional benefits.
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