Analysis of intercity highway traffic trip based on spatial autocorrelation model: an empirical study using mobile signaling data

Intercity transportation in urban agglomerations has the characteristics of large travel scale, diversified travel modes, diversified travel purposes, unbalanced temporal and spatial distribution and so on. Based on the mobile signaling data, this paper calculates the intercity travel volume and external traffic travel volume of the Beijing-Tianjin-Hebei urban agglomeration through data cleaning, processing, fusion and mining. Using the spatial autocorrelation analysis method, the spatial effect of intercity highway traffic travel is analyzed. The results indicate that the intercity highway travel volume of adjacent cities shows a significant positive correlation, and intercity highway travel is positively correlated with population, economic development level, urbanization development level and residents' income level.