GEOGRAPHICAL RESEARCH

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

情景	点位增长数	调控参数	特征描述
刺激增长情景	高	人口分布、道路阻力系数	使用2035年人口分布数据（总人口数约为22441267人）；提高生态空间阻力系数10%
自然趋势情景	中	人口分布	使用2035年人口分布数据
限制增长情景	低	人口分布、道路网密度	修正2035年人口分布数据；修正道路网密度

Tab. 4 Scenario feature description

Other figure/table from this article

Fig. 1 Logic of traversal and iterative algorithm
Tab. 1 Data source and description
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
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