电信大数据分析下的时空区域经济可视化应用

当前，国内移动电话用户已达15.9亿，在巨大的用户基数下，电信大数据呈现的特征在一定程度上反映了人群活动特征，进一步能够反映特定区域的发展状况。时空区域经济可视化应用利用数据挖掘技术对电信大数据进行处理和提取，以提高数据质量，并对数据进行不同规则的筛选，通过建模技术进行分析，结合电子地图数据、交通数据等多源信息，多角度分析用户行为特征。该应用分析对时空区域经济状况进行可视化研究，分析居民生活属性，同时，利用双重差分（DID）统计模型对区域经济政策进行评价。基于特征分析结果，为区域经济发展热点选址、指导城市商圈布局提供决策依据，提高了城市系统运行的效率，扩大了经济区域效益范围。 

Application of space time regional econo my visualization based on telecom big data analysis

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.