Hospital accessibility by Ga2SFCA

Ensuring equitable access to health services is crucial for public welfare and social equity, and is a key objective of the United Nations' Sustainable Development Goals (SDGs). However, existing datasets often define hospital accessibility using travel time to hospitals in geographic dimension only, without considering the supply (hospital capacity) and demand (population distribution) dynamics. To overcome this limitation, we developed and validated a national-scale 1 KM map of both hospital travel time and hospital accessibility in China. We used Gaussian two-step floating catchment area (Ga2SFCA) model to calculate hospital accessibility, incorporating hospital capacity and service population. Various file types and statistical indicators are provided, making the dataset highly accessible for non-specialists. The dataset fills the gap in publicly available nationwide hospital accessibility data for China and can serve as a critical tool in optimizing resource allocation and developing targeted strategies to improve healthcare equity.

保障医疗服务公平可及性，对于公共福祉与社会公平至关重要，亦是联合国可持续发展目标（SDGs）的核心目标之一。然而，现有数据集往往仅从地理维度，以抵达医院的出行时长定义医院可及性，未兼顾供给侧（医院承载能力）与需求侧（人口分布）的动态变化。为克服这一局限，本研究构建并验证了覆盖中国全域的1公里分辨率医院出行时长与医院可及性地图数据集。研究采用高斯两步移动搜索区（Ga2SFCA）模型，结合医院承载能力与服务人口规模计算医院可及性水平。本数据集提供多种文件格式与统计指标，大幅降低了非专业人士的使用门槛。该数据集填补了中国全域公开医院可及性数据的空白，可作为优化医疗资源配置、制定针对性策略以提升医疗公平性的关键工具。

搜集汇总

背景与挑战

背景概述

该数据集提供了中国全国范围内的1公里分辨率医院可及性地图，采用Ga2SFCA模型计算，综合考虑了医院容量和人口分布。数据集填补了中国医院可及性公开数据的空白，适用于优化医疗资源分配和提升医疗公平性。