
Research Article
Analysis of Medical Service Utilization Differences Between Floating and Registered Populations Based on Mobile Signaling Data
@INPROCEEDINGS{10.4108/eai.17-1-2025.2355249, author={Qiqi Yan and Yan Yu and Yaxin Xu and Liangze Lin and Zhixiang Huang}, title={Analysis of Medical Service Utilization Differences Between Floating and Registered Populations Based on Mobile Signaling Data}, proceedings={Proceedings of the 4th International Conference on Computing Innovation and Applied Physics, CONF-CIAP 2025, 17-23 January 2025, Eskişehir, Turkey}, publisher={EAI}, proceedings_a={CONF-CIAP}, year={2025}, month={4}, keywords={medical service floating population mobile signaling data ningbo}, doi={10.4108/eai.17-1-2025.2355249} }
- Qiqi Yan
Yan Yu
Yaxin Xu
Liangze Lin
Zhixiang Huang
Year: 2025
Analysis of Medical Service Utilization Differences Between Floating and Registered Populations Based on Mobile Signaling Data
CONF-CIAP
EAI
DOI: 10.4108/eai.17-1-2025.2355249
Abstract
Accurately assessing the utilization of medical services in floating and registered populations is crucial for the sustainable use of urban healthcare resources and the social equity. At present, the research on medical resource allocation lacks attention to the utilization of medical services by the floating population, especially long-staying population, which affects the fairness of medical resource allocation. This study constructs an approach for identifying the floating population using mobile signaling data and then investigates their duration of stay, spatial distribution, and clustering patterns. On this basis, the criteria for assessing healthcare-seeking behavior are developed to compare the behaviors of cross-province long-staying floating populations with those of registered residents, offering deeper insights into the medical behaviors of the floating population. This study takes Ningbo City as a case, providing valuable insights into its healthcare development. The findings aim to offer a scientific basis for urban medical reforms and the effective allocation of public healthcare services.