影响因子：4.3

DOI码：10.1007/s11442-025-2350-3

发表刊物：Journal of Geographical Sciences

关键字：cross-city patient mobility; healthcare services; coupling coordination degree model; coupling rela-tionship; spatial analysis

摘要：The uneven distribution of medical resources has led to increasingly frequent pa-tient mobility; however, the interaction between this phenomenon and the healthcare sup-ply-demand relationship remains underexplored. The present study constructed the 2023 Cross-City Patient Mobility Network in China using one million patient mobility data records obtained from online healthcare platforms. We applied urban network analysis to uncover mobility patterns and used the coupling coordination degree model to assess healthcare supply-demand relationships before and after patient mobility. Explainable machine learning further revealed the impact of supply-demand coupling on patient mobility. The results indi-cated the following: Patient mobility followed administrative boundaries, although megacities serve areas beyond provincial borders; The scale of healthcare supply and demand displayed a multi-centric spatial pattern with a general decline from east to west, and these character-istics of demand distribution were further solidified by patient mobility; Cities with low sup-ply-demand coupling and undersupply experienced patient outflows, while cities with high coupling and oversupply attracted them. In turn, patient mobility helped balance healthcare supply and demand, optimising the coupling relationship across cities. Thus, this research not only provides a methodological reference for understanding the interaction between patient mobility and healthcare systems but also offers empirical insights for public health policy.

合写作者：GUO Fang,HONG Mengyao

论文类型：期刊论文

通讯作者：WEI Wei

论文编号：J. Geogr. Sci. 2025, 35(4): 867-885

卷号：35

期号：04

页面范围：867-885

字数：15000

是否译文：否

发表时间：2025-03-21

收录刊物：SCI