Abstract: Based on geographic information spatial analysis and mathematical and statistical methods, this study takes a district in the south of Beijing as the research object, relies on data from nine types of underground pipelines, including water supply, reclaimed water, stormwater, sewage, gas, heating, electricity, telecommunications, and broadcasting, to analyze the spatial planning and design characteristics of these pipelines. The study finds that: ① According to the Pearson correlation coefficient, the underground pipelines of various specializations in the district exhibit a spatial distribution pattern of “sparser in the south and denser in the north, radiating outward from the center.” ②Based on the global and local Moran's I and Getis-Ord Gi^* indices, the pipelines in the district form two clusters of “high and low” along a northwest-southeast axis and one area with a significant dispersion trend. The distribution of cold and hot spots is largely consistent with the spatial clustering pattern, indicating a spatial dependency. ③The pipeline coverage in urban streets is significantly higher than in southern townships, showing a pronounced polarization. This study can provide important spatial analysis foundations and empirical data support for the management and planning of underground pipelines in the district, offering reference and guidance for enhancing the sustainable use of underground space, ensuring high-quality development of underground spaces, and optimizing infrastructure layout.

Key words: underground pipelines, spatial autocorrelation, hotspot analysis, spatial pattern, GIS