Spatial distribution pattern and driving mechanism of tourist attractions in Gansu Province based on POI data.

ABSTRACT: The article utilizes POI (Point of Interest) data of tourist attractions in Gansu Province in 2021, adopts Moran's I and kernel density analysis to study the spatial distribution pattern of tourist attractions in Gansu Province, and uses spatial autoregressive modeling to explore the driving mechanism affecting their spatial distribution pattern. The results show that: (1) Gansu Province has a large number and rich types of tourist attractions, and there are differences in the number of different types of tourist attractions; (2) The spatial distribution pattern of different types of tourist attractions in different cities and towns shows the phenomenon of both agglomeration and dispersion, with a higher degree of agglomeration in the central and northwestern regions of the province and a

SUBMITTER: Peng R 

PROVIDER: S-EPMC10553315 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature