Analyzing spatial and temporal dynamics of crowds and spatial agglomeration variations between the daytime and nighttime population within city—a case study in Wuhan

doi:10.11947/j.AGCS.2023.20210514

Abstract

Abstract: Cities are spatial-temporal agglomerations of population and resources, and population spatial-agglomeration at daytime and nighttime is one of the most basic, dominant, and frequent spatio-temporal variation patterns for urban population distribution, which is the basic microscopic mechanism for understanding complicated urban development. Lack of advanced technical tools, it is often impossible to truly record and measure the individual flows and overall trends of urban population, and our understanding of the spatial clustering of urban population at daytime and nighttime is still very limited. Based on the temporal and geographical aspects of urban groups behaviors, this paper mines and simulates the social spatial and temporal behaviors of urban dwellers from urban big data. Based on this basis to simulate the spatial and temporal distribution of urban population agglomeration at daytime and nighttime, and to analyze the urban population agglomeration at daytime and nighttime in the main urban area of Wuhan city. The results show:①In the study area, the relationship between population density and area display a power-law model: Clark distribution. ②Population distribution gradient based on Fourier transform can reveal the main direction and extension of the variation.③The population cluster is obvious at nighttime than at daytime, and the daytime and nighttime population flows are mainly internal to the city. Five patterns of urban population between the daytime and nighttime concentration differences are summarized: traffic line, sandwich, halo, pepper and salt, single, which are closely related to urban evolution and spatial patterns, among which the traffic line pattern is the one with the largest urban population between the daytime and nighttime differences in the study area.

Key words: daytime and nighttime population spatialization, spatio-temporal scene, spatial gradient, urban scaling laws

CLC Number:

P237

SUN Lijian, MA Zhiyong, CHANG Yinghui, GUO Qingsheng, ZHANG Yu. Analyzing spatial and temporal dynamics of crowds and spatial agglomeration variations between the daytime and nighttime population within city—a case study in Wuhan[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(3): 464-477.

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