PMID- 38165977 OWN - NLM STAT- MEDLINE DCOM- 20240104 LR - 20240106 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 19 IP - 1 DP - 2024 TI - Optimizing health service location in a highly urbanized city: Multi criteria decision making and P-Median problem models for public hospitals in Jeddah City, KSA. PG - e0294819 LID - 10.1371/journal.pone.0294819 [doi] LID - e0294819 AB - Rapid urbanization and population growth have increased the need for optimizing the location of health services in highly urbanized countries like Kingdom of Saudi Arabia (KSA). This study employs a multiple-criteria decision making (MCDM) approach, e.g., fuzzy overlay technique by combining the P-Median location-allocation model, for optimizing health services. First, a geodatabase, containing public hospitals, road networks and population districts, was prepared. Next, we investigated the location and services of five public hospitals in Jeddah city of KSA, by using a MCDM model that included a fuzzy overlay technique with a location-allocation model. The results showed that the allocated five hospitals served 94 out of 110 districts in the study area. Our results suggested additional hospitals must be added to ensure that the entire city is covered with timely hospital services. To improve the existing situation, we prioritized demand locations using the maximize coverage (MC) location problem model. We then used the P-Median function to find the optimal locations of hospitals, and then combined these two methods to create the MC-P-Median optimizer. This optimizer eliminated any unallocated or redundant information. Health planners can use this model to determine the best locations for public hospitals in Jeddah city and similar settings. CI - Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. FAU - Murad, Abdulkader AU - Murad A AUID- ORCID: 0000-0001-9197-5062 AD - Department of Urban and Regional Planning, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, KSA. FAU - Faruque, Fazlay AU - Faruque F AD - Department of Preventive Medicine, UMMC, Jackson, Mississippi, United States of America. FAU - Naji, Ammar AU - Naji A AD - Department of Urban and Regional Planning, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, KSA. FAU - Tiwari, Alok AU - Tiwari A AD - Department of Urban and Regional Planning, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, KSA. FAU - Qurnfulah, Emad AU - Qurnfulah E AD - Department of Urban and Regional Planning, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, KSA. FAU - Rahman, Mahfuzur AU - Rahman M AD - Department of Civil Engineering, International University of Business Agriculture and Technology, Dhaka, Bangladesh. FAU - Dewan, Ashraf AU - Dewan A AD - Spatial Sciences Discipline, School of Earth and Planetary Sciences, Curtin University, Bentley, Western Australia, Australia. LA - eng PT - Journal Article DEP - 20240102 PL - United States TA - PLoS One JT - PloS one JID - 101285081 SB - IM MH - Humans MH - Saudi Arabia/epidemiology MH - *Health Services MH - Cities MH - *Hospitals, Public MH - Confusion MH - Decision Making PMC - PMC10760729 COIS- The authors have declared that no competing interests exist. EDAT- 2024/01/03 09:42 MHDA- 2024/01/04 11:44 PMCR- 2024/01/02 CRDT- 2024/01/02 13:53 PHST- 2023/05/16 00:00 [received] PHST- 2023/11/09 00:00 [accepted] PHST- 2024/01/04 11:44 [medline] PHST- 2024/01/03 09:42 [pubmed] PHST- 2024/01/02 13:53 [entrez] PHST- 2024/01/02 00:00 [pmc-release] AID - PONE-D-23-14949 [pii] AID - 10.1371/journal.pone.0294819 [doi] PST - epublish SO - PLoS One. 2024 Jan 2;19(1):e0294819. doi: 10.1371/journal.pone.0294819. eCollection 2024.