Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (9): 1827-1847.doi: 10.11947/j.AGCS.2022.20220020

• Review •     Next Articles

Research progress on spatio-temporal distribution estimation of urban population

WU Huayi1,2,3, HU Qiushi1, LI Rui1,2,3, LIU Zhaohui1   

  1. 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. Hubei Luojia Laboratory, Wuhan 430079, China;
    3. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
  • Received:2022-01-12 Revised:2022-05-25 Online:2022-09-20 Published:2022-09-29
  • Supported by:
    The National Natural Science Foundation of China (Nos. U20A2091;41771426)

Abstract: The urban population is the social subject of the city and the most active factor in urban development. The urban management needs to understand the distribution of urban population in different areas of the city at different time points, which is collectively known as the spatio-temporal distribution of urban population. Accurate and refined urban population distribution data is of great significance to urban management and planning, urban economic development and people's life. Therefore, the estimation of urban population spatio-temporal distribution is one of the hot issues in urban geography. This paper reviews from the following key aspects:① The construction method of spatial distribution units; ② The main models or methods are summarized and described in detail from the perspective of the development process of model ideas and estimation objects; ③ The main application of estimation results in urban development. On this basis, this paper points out the existing problems in the construction of spatial units, modeling data, modeling ideas and results verification in the current research on the spatio-temporal distribution of population, and discusses future research directions.

Key words: spatio-temporal distribution of population, spatial distribution unit, estimation methods and models, urban population application, review

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