Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China

Yiyi Huang, Tao Lin, Guoqin Zhang, Wei Zhu, Nicholas A.S. Hamm, Yuqin Liu, Junmao Zhang, Xia Yao

Research output: Journal PublicationArticlepeer-review

4 Citations (Scopus)

Abstract

Population spatialization data is crucial to conducting scientific studies of coupled human– environment systems. Although significant progress has been made in population spatialization, the spatialization of different age populations is still weak. POI data with rich information have great potential to simulate the spatial distribution of different age populations, but the relationship between spatial distributions of POI and different age populations is still unclear, and whether it can be used as an auxiliary variable for the different age population spatialization remains to be explored. Therefore, this study collected and sorted out the number of different age populations and POIs in 2846 county-level administrative units of the Chinese mainland in 2010, divided the research data by region and city size, and explored the relationship between the different age populations and POIs. We found that there is a complex relationship between POI and different age populations. Firstly, there are positive, moderate-to-strong linear correlations between POI and population indicators. Secondly, POI has a different explanatory power for different age populations, and it has a higher explanatory power for the young and middle-aged population than the child and old population. Thirdly, the explanatory power of POI to different age populations is positively correlated with the urban economic development level. Finally, a small number of a certain kinds of POIs can be used to effectively simulate the spatial distributions of different age populations, which can improve the efficiency of obtaining spatialization data of different age populations and greatly save on costs. The study can provide data support for the precise spatialization of different age populations and inspire the spatialization of the other population attributes by POI in the future.

Original languageEnglish
Article number215
JournalISPRS International Journal of Geo-Information
Volume11
Issue number4
DOIs
Publication statusPublished - Apr 2022

Keywords

  • China
  • county-level administrative units
  • different age populations
  • geodetector
  • points of interest
  • relationship
  • spatial distribution

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)

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