Deriving intercity human flow pattern and mechanism based on cell phone location data: case study of Guangdong Province, China
Li Zhuo , Zhuo Chen , Chengzhuo Wu , Qingli Shi , Zhihui Gu , Haiyan Tao , Qiuping Li
Computational Urban Science ›› 2022, Vol. 2 ›› Issue (1) : 4
Deriving intercity human flow pattern and mechanism based on cell phone location data: case study of Guangdong Province, China
The spatial pattern and mechanism of human flow are of great significance for urban planning, economic development, transportation planning and so on. In this study, we used cell phone location data to represent the human flow network in Guangdong Province, China, using the 21 cities in Guangdong as “nodes” and the human flow intensity among them as “edges”. Then we explored macro and micro features of the human flow network, by using the index of degree distribution, alter-based centrality and alter-based power, respectively. Finally, we proposed a human flow estimation model which integrates individual urban characteristics, intercity links, and differences to further analyze the affecting factors of human flow. We found that the human flow network in this region is significantly scale-free, with Guangzhou, Shenzhen, Foshan, and Dongguan being the most important cities. We also found that the newly proposed model can explain the human flow in the study area, with an R 2 of 0.914. Analysis results show that the factors of employment in tertiary sector, intercity internet attention, intercity differences in the number of tertiary workers, differences in population size, and distance have significant impacts on the human flow. This study may provide insights into human activity mechanisms that can contribute to urban planning and management.
national natural science foundation of china,(41971372)
national key r&d program of china,(2019YFB2103103)
natural science foundation of guangdong province,(2020A1515010680)
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