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Arid Land Geography ›› 2025, Vol. 48 ›› Issue (7): 1255-1266.doi: 10.12118/j.issn.1000-6060.2024.601

• Tourism Geography • Previous Articles     Next Articles

Spatial distribution characteristics and influencing factors of tourism elements in counties of Inner Mongolia based on POI data

TIAN Zhifu1(), YU Yajuan1,2, HUANG Chenyu1   

  1. 1. College of Tourism, Inner Mongolia University of Finance and Economics, Hohhot 010070, Inner Mongolia, China
    2. Inner Mongolia Industrial Development Research Base, Hohhot 010070, Inner Mongolia, China
  • Received:2024-10-09 Revised:2024-11-05 Online:2025-07-25 Published:2025-07-04

Abstract:

Based on the “six elements” theory of tourism, this study explores the spatial distribution characteristics and influencing factors of tourism elements in the counties of Inner Mongolia, China, in 2023. Specifically, it utilizes tourism point of interest data at the county level and employs methods such as the nearest neighbor index, kernel density estimation, entropy method, comprehensive index, spatial autocorrelation, and geographical detector. The findings reveal the following. (1) The tourism elements in counties of Inner Mongolia exhibit significant clustering characteristics, with “food”, “accommodation”, and “shopping” being the most clustered elements, followed by “entertainment” and “transportation”, whereas the “tourism” element is relatively dispersed. (2) An imbalance in the density distribution of tourism elements is observed, where areas south of the fitting line (Alagxa Left Banner to Jalaid Banner) generally have higher densities than those in the northern regions. Notably, cities such as Hohhot-Baotou-Erdos, Chifeng, and Tongliao, have dense clusters of tourism elements. (3) Tourism elements demonstrate significant positive global autocorrelation, which includes four local autocorrelation patterns: low-low, low-high, high-high, and high-low. (4) The factors influencing the spatial distribution characteristics of tourism elements in the counties of Inner Mongolia span multiple dimensions, including economic, social, cultural, and natural environments, with economic and cultural factors identified as the core influences.

Key words: tourism elements, POI data, spatial distribution, Inner Mongolia