Spatial analysis of Haikou third-level first-class hospitals based on geographic information system

Yilan Bu

doi:10.1117/12.2667356

10 February 2023 Spatial analysis of Haikou third-level first-class hospitals based on geographic information system

Yilan Bu

Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520K (2023) https://doi.org/10.1117/12.2667356
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China

Abstract

Nowadays, spatial geographic data analysis and GIS related software are more and more applied to the planning of urban public facilities. Under the COVID-19, people pay more attention to the protection of medical facilities for people's health, and a reasonable distribution of hospital facilities is conducive to people's health. Taking Haikou City as an example, this research will optimize the location of hospital space layout according to the existing third-level first-class general hospitals in Haikou City by using GIS software, road analysis, spatial analysis, and other methods. The results show that the existing hospitals in Haikou are too concentrated in the central urban area, the overall distribution of medical facilities is lack of balance, and there is a serious lack of medical facilities in new urban development areas and suburbs. According to the comparison between population density analysis and traffic analysis and the service scope of existing hospitals, the author finds out the scope of hospitals that need to be supplemented, and then calculates the scope of service area after taking several random points within the scope, and finally finds the one with the largest service scope is the optimal location. The results obtained by optimizing the site selection can provide a scientific reference for the rational layout of medical facilities in Haikou City in the future.

Citation Download Citation

Yilan Bu "Spatial analysis of Haikou third-level first-class hospitals based on geographic information system", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520K (10 February 2023); https://doi.org/10.1117/12.2667356

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KEYWORDS

Geographic information systems

Spatial analysis

Transportation

Data analysis

Data conversion

Data acquisition

Satellites

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