Combined Location Set Covering Model and Multi-Criteria Decision Analysis for Emergency Medical Service Assessment
DOI:
https://doi.org/10.31181//sems2120249aKeywords:
EMS; AHP; LSCM; response time; MCDMAbstract
Arranging medical resources under emergency needs is a crucial aspect of emergency management. This paper presents a hybrid model that integrates a combined location set covering model and analytics hierarchy process (AHP) method. The model aims to evaluate the existing medical resource situation, provide multiple scenarios, and assist emergency decision-makers in making the appropriate choice. An analysis of the current situation in the study area shows that the coverage rate of the current emergency stations is 98% in the 10-minute response time and 57% in the five-minute response time. This means that there is a part of the area that is not covered in these two spans of times. Using the proposed model, a minimum number of stations is obtained; i.e. three stations with a response time of 10 minutes as well as eight stations with a response time of five minutes with a coverage rate of 100% of the total area of the city. The second scenario is obtained by adding one center with a response time of 10 minutes, and six additional stations with a response time of five minutes to cover 100% of the study area. After obtaining the three scenarios, AHP is used to obtain the best decision considering five criteria.Downloads
References
Badi, I., A. Abdulshahed, and E. Alghazel. (2023). Using Grey-TOPSIS approach for solar farm location selection in Libya. Reports in Mechanical Engineering. 4(1), 80-89. https://doi.org/10.31181/rme040129062023b
Badi, I., Pamučar, D., Stević, Ž., & Muhammad, L. J. (2023). Wind farm site selection using BWM-AHP-MARCOS method: A case study of Libya. Scientific African, 19, e01511. https://doi.org/10.1016/j.sciaf.2022.e01511
Ahmadi, H., Jelokhani-Niaraki, M., Argany, M., & Ghanbari, A. (2024). Optimizing locations of emergency medical stations for rural areas: A case study in Iran. International Journal of Disaster Risk Reduction, 104336. https://doi.org/10.1016/j.ijdrr.2024.104336
Jánošíková, Ľ., Jankovič, P., Kvet, M., & Zajacová, F. (2021). Coverage versus response time objectives in ambulance location. International Journal of Health Geographics, 20: 1-16. https://doi.org/10.1186/s12942-021-00285-x
Luo, W., Yao, J., Mitchell, R., & Zhang, X. (2020). Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals. International journal of health geographics, 19, 1-14. https://doi.org/10.1186/s12942-020-00249-7
Alosta, A., O. Elmansuri, and I. Badi. (2021). Resolving a location selection problem by means of an integrated AHP-RAFSI approach. Reports in Mechanical Engineering, 2(1), 135-142. https://doi.org/10.31181/rme200102135a
Wang, W., Wu, S., Wang, S., Zhen, L., & Qu, X. (2021). Emergency facility location problems in logistics: Status and perspectives. Transportation research part E: logistics and transportation review, 154, 102465. https://doi.org/10.1016/j.tre.2021.102465
Rodriguez, S.A., A. Rodrigo, and M.M. Aguayo. (2020). A facility location and equipment emplacement technique model with expected coverage for the location of fire stations in the Concepción province, Chile. Computers & Industrial Engineering, 147, 106522. https://doi.org/10.1016/j.cie.2020.106522
Han, Z., Cui, C., Kong, Y., Li, Q., Chen, Y., & Chen, X. (2023). Improving educational equity by maximizing service coverage in rural Changyuan, China: An evaluation-optimization-validation framework based on spatial accessibility to schools. Applied Geography, 152, 102891. https://doi.org/10.1016/j.apgeog.2023.102891
Murray, A.T. (2016). Maximal coverage location problem: impacts, significance, and evolution. International Regional Science Review, 39(1), 5-27. https://doi.org/10.1177/0160017615600222
Wei, R. (2016). Coverage location models: alternatives, approximation, and uncertainty. International Regional Science Review, 39(1), 48-76. https://doi.org/10.1177/0160017615571588
Kar, B., Mohapatra, B., Kar, S., & Tripathy, S. (2023). Small and medium enterprise debt decision: A best-worst method framework. Operational Research in Engineering Sciences: Theory and Applications, 6(1), 20-43. https://doi.org/10.31181/oresta280922001k
Moslem, S. and F. Pilla. (2024). Planning location of parcel lockers using group Analytic Hierarchy Process in Spherical Fuzzy environment. Transportation Research Interdisciplinary Perspectives, 24, 101024. https://doi.org/10.1016/j.trip.2024.101024
Ortega, J. and S. Moslem (2023). Decision support system for evaluating park & ride system using the analytic hierarchy process (AHP) method. Urban, Planning and Transport Research, 11(1), 2194362. https://doi.org/10.1080/21650020.2023.2194362
Badi, I. and M. Kridish (2020). Landfill site selection using a novel FUCOM-CODAS model: A case study in Libya. Scientific African, 9, e00537. https://doi.org/10.1016/j.sciaf.2020.e00537
Yılmaz, M. and T. Atan. (2021). Hospital site selection using fuzzy EDAS method: case study application for districts of Istanbul. Journal of Intelligent & Fuzzy Systems, 41(2), 2591-2602. https://doi.org/10.3233/JIFS-201757
Kahraman, C., Keshavarz Ghorabaee, M., Zavadskas, E. K., Cevik Onar, S., Yazdani, M., & Oztaysi, B. (2017). Intuitionistic fuzzy EDAS method: an application to solid waste disposal site selection. Journal of Environmental Engineering and Landscape Management, 25(1), 1-12. https://doi.org/10.3846/16486897.2017.1281139
Deveci, M., Özcan, E., John, R., Pamucar, D., & Karaman, H. (2021). Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS. Applied Soft Computing, 109, 107532. https://doi.org/10.1016/j.asoc.2021.107532
Stevic, Z., Mujakovic, N., Goli, A., & Moslem, S. (2023). Selection of logistics distribution channels for final product delivery: FUCOM-MARCOS model. J. Intell. Manag. Decis, 2, 172-178. https://doi.org/10.56578/jimd020402
Wang, C. N., Chung, Y. C., Wibowo, F. D., Dang, T. T., & Nguyen, N. A. T. (2023). Site selection of solar power plants using hybrid MCDM models: a case study in Indonesia. Energies, 16(10), 4042. https://doi.org/10.3390/en16104042
Zewdie, M.M. and S.M. Yeshanew. (2023). GIS based MCDM for waste disposal site selection in Dejen town, Ethiopia. Environmental and Sustainability Indicators, 18, 100228. https://doi.org/10.1016/j.indic.2023.100228
Mozaffari, M., Bemani, A., Erfani, M., Yarami, N., & Siyahati, G. (2023). Integration of LCSA and GIS-based MCDM for sustainable landfill site selection: A case study. Environmental monitoring and assessment, 195(4), 510. https://doi.org/10.1007/s10661-023-11112-0
Yaman, A., A. (2024). GIS-based multi-criteria decision-making approach (GIS-MCDM) for determination of the most appropriate site selection of onshore wind farm in Adana, Turkey. Clean Technologies and Environmental Policy, 1-24. https://doi.org/10.1007/s10098-024-02866-3
Hassan, I., I. Alhamrouni, and N.H. Azhan. (2023). A CRITIC–TOPSIS multi-criteria decision-making approach for optimum site selection for solar PV farm. Energies, 16(10), 4245. https://doi.org/10.3390/en16104245
Kang, Y. O., Yabar, H., Mizunoya, T., & Higano, Y. (2024). Optimal landfill site selection using ArcGIS Multi-Criteria Decision-Making (MCDM) and Analytic Hierarchy Process (AHP) for Kinshasa City. Environmental Challenges, 14, 100826. https://doi.org/10.1016/j.envc.2023.100826
Liu, Y., M. Wang, and Y. Wang. (2024). Location Decision of Emergency Medical Supply Distribution Centers Under Uncertain Environment. International Journal of Fuzzy Systems, 1-37. https://doi.org/10.1007/s40815-024-01689-0
Abdollahi, M., M. Faizi, and M. Naghibi. (2024). Applying analytic hierarchy process for site selection of a recreational-educational children complex in Shiraz City, Iran. Landscape Online, 98, 1120. https://doi.org/10.3097/LO.2024.1120
Motamedi, Z. and K. Kianfar. (2023). Locating Fire Stations using Deterministic and Fuzzy Multiple Criteria Decision Making Methods and GIS Information: A Case Study of Isfahan City. Journal of Industrial Management Perspective, 13(2), 65-98. https://doi.org/10.48308/jimp.13.2.65
Saha, A., Pamucar, D., Gorcun, O. F., & Mishra. (2023). A. R., Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach. Expert Systems with Applications, 211, 118497. https://doi.org/10.1016/j.eswa.2022.118497
Samastı, M., Türkan, Y. S., Güler, M., Ciner, M. N., & Namlı, E. (2024). Site selection of medical waste disposal facilities using the interval-valued neutrosophic fuzzy EDAS Method: the case study of Istanbul. Sustainability, 16(7), 2881. https://doi.org/10.3390/su16072881
Çetinkaya, C., Erbaş, M., Kabak, M., & Özceylan, E. (2023). A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach. Socio-Economic Planning Sciences, 85, 101376. https://doi.org/10.1016/j.seps.2022.101376
Keroglou, I. and T. Tsoutsos. (2024)., Optimal siting of solar desalination plants in Crete, Greece employing a GIS/MCDM approach. Renewable Energy, 120168. https://doi.org/10.1016/j.renene.2024.120168
Bouraima, M.B., Jovčić, S., Švadlenka, L., Simic, V., Badi, I., & Maraka, N. D. (2024). An integrated multi-criteria approach to formulate and assess healthcare referral system strategies in developing countries. Healthcare Analytics, 5, 100315. https://doi.org/10.1016/j.health.2024.100315
Sivakumar, G., E. Almehdawe, and G. Kabir. (2021). Developing a decision-making framework to improve healthcare service quality during a pandemic. Applied System Innovation, 5(1), 3. https://doi.org/10.3390/asi5010003
Jansson, J., M. Larsson, and J. Nilsson. (2021). Advanced paramedics and nurses can deliver safe and effective pre‐hospital and in‐hospital emergency care: An integrative review. Nursing Open, 8(5), 2385-2405. https://doi.org/10.1002/nop2.866
McCarthy, J., A.P. Patel, and A.E. Spain. (2020). Pre-hospital Care: Emergency Medical Services. Comprehensive Healthcare Simulation, InterProfessional Team Training and Simulation, 285-303. https://doi.org/10.1007/978-3-030-28845-7_19
Bouraima, M. B., Gore, A., Ayyildiz, E., Yalcin, S., Badi, I., Kiptum, C. K., & Qiu, Y. (2023). Assessing of causes of accidents based on a novel integrated interval-valued Fermatean fuzzy methodology: towards a sustainable construction site. Neural computing and applications, 35(29), 21725-21750. https://doi.org/10.1007/s00521-023-08948-5
Badi, I. and M.B. Bouraima. (2023). Development of MCDM-based frameworks for proactively managing the most critical risk factors for transport accidents: a case study in Libya. Spectrum of engineering and management sciences, 1(1), 38-47. https://doi.org/10.31181/sems1120231b
Badi, I., Ž. Stević, and B. Novarlić. (2017). Emergency Medical Service Location Problem: a Case Study in Misurata, Libya. Transport & Logistics: The International Journal, 17(43), 30-36.
Ye, H. and H. Kim. (2016). Locating healthcare facilities using a network-based covering location problem. GeoJournal, 81, 875-890. https://doi.org/10.1007/s10708-016-9744-9
Sitepu, R., Puspita, F. M., Romelda, S., Fikri, A., Susanto, B., & Kaban, H. (2019). Set covering models in optimizing the emergency unit location of health facility in Palembang. in Journal of Physics. IOP Publishing. https://doi.org/10.1088/1742-6596/1282/1/012008
Toregas, C., Swain, R., ReVelle, C., & Bergman, L. (1971). The location of emergency service facilities. Operations research, 19(6), 1363-1373. https://doi.org/10.1287/opre.19.6.1363
Trivedi, P., Shah, J., Moslem, S., & Pilla, F. (2023). An application of the hybrid AHP-PROMETHEE approach to evaluate the severity of the factors influencing road accidents. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e21187
Badi, I. and A. Abdulshahed. (2021). Sustainability performance measurement for libyan iron and steel company using rough AHP. Journal of Decision Analytics and Intelligent Computing, 1(1), 22-34. https://doi.org/10.31181/jdaic1001202222b
Eshtaiwi, M., Badi, I., Abdulshahed, A., & Erkan, T. E. (2017). Determination of key performance indicators for measuring airport success: A case study in Libya. Journal of Air Transport Management, 68, 28-34. https://doi.org/10.1016/j.jairtraman.2017.12.004
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Spectrum of Engineering and Management Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.
