Spatial distribution characteristics of community service facilities in Shangcheng District of Hangzhou, China

Jianren Shi; Xiaqin Du

doi:10.1117/12.3004072

11 October 2023 Spatial distribution characteristics of community service facilities in Shangcheng District of Hangzhou, China

Jianren Shi, Xiaqin Du

Author Affiliations +

Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 128003R (2023) https://doi.org/10.1117/12.3004072
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China

Abstract

In the smart city development phase, the construction of community service facilities plays an important role in creating future communities and convenient living circles. With the continuous maturity of big data and GIS spatial analysis technologies, it is possible to make objective quantitative assessment of the construction of community service facilities and provide scientific decisions for future planning and layout. Our objective was to analyze the current spatial distribution characteristics of community service facilities in the Shangcheng District of Hangzhou, Zhejiang Province, China. We processed, counted and visualized the data from POI (Point of Interest) using the nearest-neighbor distance method and kernel density analysis in the ArcGIS platform. The results showed that, in terms of quantitative characteristics, the number of financial and cultural facilities was relatively low, making it difficult to achieve full coverage of residential land. In terms of layout, dining, transportation, shopping, and education facilities were arranged around the residential areas, while cultural, leisure and medical facilities were arranged along the city's primary roads or metro lines. In terms of clustering, the HB (Hubin) section was characterized by high density and large area clusters, indicating a highly developed system of community services and facilities. The GBNT (Genbei New Town) section showed a low-density and point pattern, indicating a poorly backward system of community services and facilities and needs to be improved and optimized.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Jianren Shi and Xiaqin Du "Spatial distribution characteristics of community service facilities in Shangcheng District of Hangzhou, China", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 128003R (11 October 2023); https://doi.org/10.1117/12.3004072

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KEYWORDS

Transportation

Roads

Geographic information systems

Spatial analysis

Analytical research

Statistical analysis

Visualization

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