Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on Tianjin
Fundamental medical facilities, as a crucial component of public service infrastructure, contribute significantly to social welfare and serve as a basis for enhancing living standards and ensuring stable economic development. This paper developed a logical framework of “spatial accessibility-resourc...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-07-01
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| Series: | Journal of Asian Architecture and Building Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/13467581.2025.2527286 |
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| Summary: | Fundamental medical facilities, as a crucial component of public service infrastructure, contribute significantly to social welfare and serve as a basis for enhancing living standards and ensuring stable economic development. This paper developed a logical framework of “spatial accessibility-resource allocation-site optimization,” using Tianjin as a case study. Initially, we examined the existing configuration of fundamental medical facilities concerning spatial accessibility; subsequently, we assessed the rationality of medical resource distribution at the subdistrict level utilizing the Gini coefficient, Lorenz curve, and other mathematical and statistical analyses, and developed a supply-demand coupling coordination model to evaluate the interplay between facility supply and resident demand. Ultimately, we identified supply-lagged subdistricts, developed a multi-objective optimization site selection model, and employed the genetic algorithm (NSGA-II) within PyCharm to provide optimization recommendations and strategies. The study reveals significant deficiencies in the spatial arrangement of fundamental medical facilities in Tianjin regarding supply and demand alignment, exhibiting a gradient that diminishes from the city center to the periphery. Over half of the subdistricts experience a supply-demand disparity, with 76 subdistricts lagging in supply, constituting over 60% of the total. Thus, the efficiency of fundamental medical facility utilization dictates the degree of medical resource equalization. |
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| ISSN: | 1347-2852 |