Keywords
POI
Distribution characteristics
Submitted : 2025-05-14
Accepted : 2025-05-29
Published : 2025-06-13
Abstract
This article focuses on the cultural belt of the Grand Canal in Cangzhou City, analyzing the spatial distribution and correlation of its tourism elements. Based on a total of 14,192 Points of Interest (POI) data collected through the Gaode Map Application Programming Interface (API), the study employs spatial analysis methods such as spatial syntax analysis, kernel density estimation, average nearest neighbor analysis, global spatial autocorrelation test, and bivariate spatial autocorrelation test. These methods reveal the spatial patterns and interdependencies of the six core tourism elements: food, accommodation, transportation, tourism, shopping, and entertainment. The results indicate significant agglomeration in the spatial distribution of various tourism elements, accompanied by distinct characteristics of differentiation among them. This research provides valuable insights and references for the reconstruction of tourist spaces and the coordination of functional areas within the cultural belt of the Grand Canal in Cangzhou City.
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