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Title	Research On The Allocation Of Medical Facilities Based On The Smart City
ID_Doc	45682
Authors	Zhang Y.; Wu T.; Wang Y.; Tan Y.
Year	2025
Published	Proceedings of SPIE - The International Society for Optical Engineering, 13575
DOI	http://dx.doi.org/10.1117/12.3062111
Abstract	With the development of society, technologies such as big data, artificial intelligence, the Internet of Things (IoT), and various information systems have provided more precise and intelligent data support for urban development. These technologies offer crucial technical backing for smart city implementation, which has become a key approach to improving urban management and service efficiency. The of smart cities aims to leverage multiple information technologies to promote sustainable urban development. This paper takes Fengxian District, one of the five new towns in Shanghai, as an example. Using data collected via self-compiled Python code on the names, locations, and other information of neighborhoods and medical facilities, combined with multisource data such as statistical yearbooks and road networks, we applied a modified two-step floating catchment area (2SFCA) method to analyze accessibility. The findings suggest that introducing a referral system for accessing healthcare services can significantly improve the efficiency with which elderly residents utilize medical facilities. The research results contribute to the scientific and refined planning of medical facilities, thus improving the precision of urban management. © 2025 SPIE.
Author Keywords	Medical Facilities; Modified Two-Step Floating Catchment Area; Multisource Data; Smart City

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