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To explore the effect of transportation networks on the formation of passenger connections in urban agglomerations, this paper takes 90 counties in Guanzhong Plain urban agglomerations as the object of analysis, and extracts passenger transport connections in different periods of time by using mobile phone signaling data. GIS analysis, distance attenuation function and geographically weighted regression model were used to explore the heterogeneity of driving effects of transport network on passenger transport connections during the May Day holiday, working day and weekend. The results show that the travel of urban agglomerations is mainly concentrated in the central region of urban agglomerations, and the contact range of districts and counties is wider during the May Day holiday, and the peak value of weekday travel is higher. The passenger flow in urban agglomeration decreases with the increase of time and space distance, and the fitting degree of the power-law attenuation function is better than that of the exponential attenuation function. The ranking of the power-law attenuation coefficients of the three periods is May Day holiday < working day < weekend. The density of the main roads and the total number of bullet train connections have a positive driving effect on the total number of passenger transport connections, while the total number of common railway connections shows a suppressive effect on the total number of passenger transport connections. The driving effect of all factors on the total number of passenger transport connections has obvious heterogeneity in both time and space.
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