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Figure/Table detail
Research on optimal allocation of medical resources in Beijing based on multi-cycle Acc-Cost model
FANG Guodong, YANG Yuanyuan, SUN Wei
GEOGRAPHICAL RESEARCH
, 2025, 44(
2
): 603-618. DOI:
10.11821/dlyj020240787
数据类型
数据名称
年份
来源
POI数据
三甲医院POI数据
2021年
百度POI
综合医院POI数据
2021年
百度POI
人口数据
北京市人口分布栅格数据
2021年
百度慧眼2021年11月移动大数据
北京市SSPs
情景人口预测数据
2035年
清华大学蔡闻佳课题组数据集
(
https://doi.org/10.6084/m9.figshare.c.4605713
)
交通数据
北京市交通网络矢量数据
2021年
OSM官网(www.openstreetmap.org)
土地利用数据
北京市土地利用数据
2020年
中科院地理所/地理国情监测云平台
(
http://www.dsac.cn/
)
Tab. 1
Data source and description
Other figure/table from this article
Fig. 1
Logic of traversal and iterative algorithm
Fig. 2
Research division and the distribution of the population served by tertiary hospitals
Tab. 2
Statistics of the spatial population distribution by Voronoi diagram
Tab. 3
Road speed and coefficient of influencing factors
Fig. 3
The first calculation results of the Acc-Cost model
Fig. 4
Statistical chart of accessibility of medical facilities at all levels
Fig. 5
The optimal position and iterative process of adding new medical facilities
Tab. 4
Scenario feature description
Fig. 6
Optimization logic of medical resource layout under the scenario of “Limiting Growth”
Fig. 7
Standard deviation ellipse before and after evacuation
Fig. 8
Results of scenario forecast
Fig. 9
Optimization configuration pattern of graded medical facilities in Beijing
Fig. 10
Model optimization effect