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.
Analysis of intercity highway traffic trip based on spatial autocorrelation model: an empirical study using mobile signaling data
International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021) ; 2021 ; Zhengzhou,China
Proc. SPIE ; 12165
2022-03-14
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
British Library Conference Proceedings | 2022
|Study on the Model of Intercity Passengers' Trip Mode Choice Based on Cluster Analysis Method
Trans Tech Publications | 2012
|Highway traveler -- Greyhound's new intercity bus
Engineering Index Backfile | 1949
|Study of Intercity Travel Based on GIS Spatial Analysis
Trans Tech Publications | 2014
|