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Spatial Distribution Characteristics and Optimization Strategies of Medical Facilities in Kunming Based on POI Data

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The 10th International Conference on Computer Engineering and Networks (CENet 2020)

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Abstract

Based on the POI data of medical facilities and residential quarters in Kunming in 2018, using GIS spatial analysis methods such as Kernel Density Estimation, Average Nearest Distance, and Direction Distribution were used to study the spatial distribution characteristics of Kunming medical facilities and propose optimization strategies. The results show that: (1) From the perspective of spatial structure, the spatial distribution of medical facilities in Kunming is relatively uneven, with the main urban in the city as a “single-center” cluster, there are four characteristics have emerged: 1) Urban crowding 2) The suburbs are empty 3) Old city crowded 4) New city zone is empty. (2) From the degree of regional agglomeration, the concentration of medical facilities in Kunming is high. The concentration of Special Hospitals are higher than that of Grade A Class Three Hospitals, General Hospitals and Community Hospitals. (3) From the perspective of spatial development direction, medical facilities develop along the “northwest southeast” direction, which is consistent with the direction of spatial expansion of residential quarters and the direction of urban expansion.

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Funding

This research was funded by National Natural Science Foundation of China, grant numbers 51878591.

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Correspondence to Jian Xu .

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Shan, X., Xu, J., Du, Y., Wang, R., Deng, H. (2021). Spatial Distribution Characteristics and Optimization Strategies of Medical Facilities in Kunming Based on POI Data. In: Liu, Q., Liu, X., Shen, T., Qiu, X. (eds) The 10th International Conference on Computer Engineering and Networks. CENet 2020. Advances in Intelligent Systems and Computing, vol 1274. Springer, Singapore. https://doi.org/10.1007/978-981-15-8462-6_197

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  • DOI: https://doi.org/10.1007/978-981-15-8462-6_197

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  • Print ISBN: 978-981-15-8461-9

  • Online ISBN: 978-981-15-8462-6

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