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...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-07-01
|
| Series: | Journal of Asian Architecture and Building Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/13467581.2025.2527286 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839635029831974912 |
|---|---|
| author | Sheng Zhang Yongsheng Ma Juan Ren Hui Liu Lei Cui Zizhao Fan |
| author_facet | Sheng Zhang Yongsheng Ma Juan Ren Hui Liu Lei Cui Zizhao Fan |
| author_sort | Sheng Zhang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-14cec099f3d74a8aa85f78fd7f3ad7dc |
| institution | Matheson Library |
| issn | 1347-2852 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Asian Architecture and Building Engineering |
| spelling | doaj-art-14cec099f3d74a8aa85f78fd7f3ad7dc2025-07-09T13:40:42ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522025-07-010012310.1080/13467581.2025.25272862527286Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on TianjinSheng Zhang0Yongsheng Ma1Juan Ren2Hui Liu3Lei Cui4Zizhao Fan5Tianjin Chengjian UniversityTianjin Chengjian UniversityTianjin Chengjian UniversityTianjin Chengjian UniversityTianjin Urban Planning and Design InstituteTianjin Chengjian UniversityFundamental 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.http://dx.doi.org/10.1080/13467581.2025.2527286fundamental medical facilitiesresource allocationsupply-demand couplingaccessibilitynsga-ii |
| spellingShingle | Sheng Zhang Yongsheng Ma Juan Ren Hui Liu Lei Cui Zizhao Fan Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on Tianjin Journal of Asian Architecture and Building Engineering fundamental medical facilities resource allocation supply-demand coupling accessibility nsga-ii |
| title | Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on Tianjin |
| title_full | Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on Tianjin |
| title_fullStr | Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on Tianjin |
| title_full_unstemmed | Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on Tianjin |
| title_short | Research on the spatial allocation of fundamental medical facilities utilizing multi-objective optimization–a case study on Tianjin |
| title_sort | research on the spatial allocation of fundamental medical facilities utilizing multi objective optimization a case study on tianjin |
| topic | fundamental medical facilities resource allocation supply-demand coupling accessibility nsga-ii |
| url | http://dx.doi.org/10.1080/13467581.2025.2527286 |
| work_keys_str_mv | AT shengzhang researchonthespatialallocationoffundamentalmedicalfacilitiesutilizingmultiobjectiveoptimizationacasestudyontianjin AT yongshengma researchonthespatialallocationoffundamentalmedicalfacilitiesutilizingmultiobjectiveoptimizationacasestudyontianjin AT juanren researchonthespatialallocationoffundamentalmedicalfacilitiesutilizingmultiobjectiveoptimizationacasestudyontianjin AT huiliu researchonthespatialallocationoffundamentalmedicalfacilitiesutilizingmultiobjectiveoptimizationacasestudyontianjin AT leicui researchonthespatialallocationoffundamentalmedicalfacilitiesutilizingmultiobjectiveoptimizationacasestudyontianjin AT zizhaofan researchonthespatialallocationoffundamentalmedicalfacilitiesutilizingmultiobjectiveoptimizationacasestudyontianjin |