Correlation Analysis of Urban Agglomeration Travel and Business Connections Based on Big Data

Urban agglomerations are becoming the main engines for the development of the national economy. As the cooperation and interaction between cities are continuously strengthened, transportation planning and development in urban agglomeration are becoming increasingly important. Studying the passenger flow network structure and business relationship of urban agglomeration is helpful for analyzing and predicting the intercity travel demand. In this paper, one-month mobile phone data and industrial and commercial data of more than 120,000 enterprises are used to study the intercity travel and enterprise connection in the Yangtze River Delta Agglomeration of China. Through the Quadratic Assignment Procedure (QAP) method, it is found that there is a significant correlation between passenger flow and the enterprise connection network. The results of this study are useful for the transportation planning of urban agglomeration.