Abstract
The rational allocation of medical service resources can affect the convenience of residents to obtain health care services. Therefore, the uneven distribution of medical resources is currently a prominent problem in the process of building medical and health services in China. The spatial accessibility analysis can assess areas of lack of medical resources and serve as a scientific measure for assessing the rationality of spatial allocation of medical services. This study uses the route planning module based on the online map API to calculate the distance of residents arriving at medical institutions, through the spatial accessibility analysis method based on the gravity model, and use ArcGIS to geographically visualize the results. The spatial accessibility in the northeastern part of Tianhe was much lower than that in the southwestern part, indicating that there is still a large spatial accessibility difference in medical facilities in Tianhe District, and the layout of medical facilities lacks certain rationality. Where healthcare service resources are concentrated but medical care is crowded, hospital pressure should be minimized and some patients should be referred to the surrounding areas. At the same time more medical services should be offered to improve the allocation of local medical resources where medical resources are scarce.
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The authors would like to acknowledge the reviewers and editor for their insightful and constructive comments. The presented work has been funded by the National Natural Science Foundation of China (PM. Juhua Wu, NO. 71771059), the Philosophy and Social Science Foundation of Guangzhou (PM. Juhua Wu, NO. 502170111), and the Key Laboratory of Guangdong Science and Technology Finance and Big Data Analysis (NO. 2017B030301010).
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Wu, J., Zhao, Z., Jiang, S., Tao, L. (2019). The Research on Spatial Accessibility to Healthcare Services Resources in Tianhe, Guangzhou. In: Chen, H., Zeng, D., Yan, X., Xing, C. (eds) Smart Health. ICSH 2019. Lecture Notes in Computer Science(), vol 11924. Springer, Cham. https://doi.org/10.1007/978-3-030-34482-5_9
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