PMID- 37865638 OWN - NLM STAT- MEDLINE DCOM- 20231102 LR - 20231117 IS - 2045-2322 (Electronic) IS - 2045-2322 (Linking) VI - 13 IP - 1 DP - 2023 Oct 21 TI - Research on the location decision-making method of emergency medical facilities based on WSR. PG - 18011 LID - 10.1038/s41598-023-44209-0 [doi] LID - 18011 AB - The need for emergency medical services increased drastically during disaster relief. Poor location selection of emergency medical facilities may harm the interests of healthcare workers and patients, leading to unnecessary waste of costs. It involves multiple stakeholders' interests, a typical multi-criteria decision-making problem. Based on multiple-criteria decision-making technology, most current location selection decisions methods comprehensively consider the evaluation criteria of "issue" and "problem" simultaneously and establish mathematical models to achieve the results. Such methods are difficult to take into account the influence of different attribute factors on the final location selection results in practice. Therefore, in this study, we used the WSR methodology as a guide to divide the factors of location selection into "Wuli", "Shili" and "Renli", and proposed the WSR methodology-based multi-criteria decision-making (MCDM) framework for selecting the appropriate location for emergency medical facilities. The integrated framework consists of the Entropy Weight Method, Best-Worst Method, and interval type-2 fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodologies. Combined with the comparative analysis of actual cases, the results under the guidance of this framework were consistent with practicalities. Also, the sensitivity analysis showed that the location selection ranking fluctuations were not apparent with the fluctuation of criteria weights. Wherefore, the validation of the proposed method's effectiveness, feasibility, and robustness was proved, which provided a valuable reference for the location selection of emergency medical facilities. CI - (c) 2023. Springer Nature Limited. FAU - Wang, Hao AU - Wang H AD - School of Architecture, Harbin Institute of Technology, Harbin, 150001, China. AD - Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150001, China. AD - School of Design and Environment, National University of Singapore, Singapore, 117548, Singapore. FAU - Luo, Peng AU - Luo P AD - School of Architecture, Harbin Institute of Technology, Harbin, 150001, China. pengluo@hit.edu.cn. AD - Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150001, China. pengluo@hit.edu.cn. FAU - Wu, Yimeng AU - Wu Y AD - School of Design and Environment, National University of Singapore, Singapore, 117548, Singapore. AD - College of Architecture and Urban Planning, Tongji University, Shanghai, China. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20231021 PL - England TA - Sci Rep JT - Scientific reports JID - 101563288 SB - IM MH - Humans MH - *Decision Making MH - *Models, Theoretical MH - Health Facilities PMC - PMC10590399 COIS- The authors declare no competing interests. EDAT- 2023/10/22 00:41 MHDA- 2023/11/02 12:42 PMCR- 2023/10/21 CRDT- 2023/10/21 23:17 PHST- 2023/04/17 00:00 [received] PHST- 2023/10/05 00:00 [accepted] PHST- 2023/11/02 12:42 [medline] PHST- 2023/10/22 00:41 [pubmed] PHST- 2023/10/21 23:17 [entrez] PHST- 2023/10/21 00:00 [pmc-release] AID - 10.1038/s41598-023-44209-0 [pii] AID - 44209 [pii] AID - 10.1038/s41598-023-44209-0 [doi] PST - epublish SO - Sci Rep. 2023 Oct 21;13(1):18011. doi: 10.1038/s41598-023-44209-0.