https://doi.org/10.4081/gh.2021.1002
Using the location-allocation P-median model for optimising locations for health care centres in the city of Jeddah City, Saudi Arabia
Submitted: 27 March 2021
Accepted: 17 May 2021
Published: 19 October 2021
Accepted: 17 May 2021
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Considering spatial accessibility of health services is a critical part in the planning and management of health services. There is evidence that poor geographical locations can obstruct prompt basic health care services to some population sections. We developed a location-allocation P-median model for health centres after analysing their sites, demand location of health services and the road network in Jeddah, Saudi Arabia. This model attempts to optimize health care services network and to put forward location recommendations to maximise service coverage. Our model is shown to be useful as it provides a robust evidence base to urban planners and policymakers responsible for making spatial decisions for the development of the health sector. Besides, it follows the paradigm of new urbanism that encourages decentralisation of essential facilities including basic healthcare in cities, where emphasis is on offering all basic services within walkable distances of 15 min. or less.
Aljoufie M, Tiwari A,2021. Modelling road safety in car-dependent cities: case of Jeddah city, Saudi Arabia . Sustain-Basel 13:1816.
DOI: https://doi.org/10.3390/su13041816
Aljoufie M, Tiwari A, 2020. Exploring housing and transportation affordability in Jeddah. House Policy Debate 2020 [Epub ahead of print].
DOI: https://doi.org/10.1080/10511482.2020.1815070
Apparicio P, Jérémy G, Anne-Sophie D, Simon K, Lise G, Éric R, 2017. The approaches to measuring the potential spatial access to urban health services revisited: distance types and aggregation-error issues. Int J Health Geogr 16:32
DOI: https://doi.org/10.1186/s12942-017-0105-9
Carson YM, Rajan B. 1990. Locating an ambulance on the Amherst campus of the State University of New York at Buffalo. Informs J App An 20:43-9.
DOI: https://doi.org/10.1287/inte.20.5.43
Chotchoungchatchai S, Aniqa IM, Woranan W, Warisa P, Walaiporn P, Viroj T, 2020. Primary Health Care and Sustainable Development Goals. Bulletin of the WHO 98:792-800.
DOI: https://doi.org/10.2471/BLT.19.245613
Dzator M, Dzator J, 2013. An effective heuristic for the P-median problem with application to ambulance location. OPSEARCH 50:60-74.
DOI: https://doi.org/10.1007/s12597-012-0098-x
Elmes GA, 2004. GIS in public health care planning: the United States perspective. In: Maheshwaran R, Craglia M (Eds.), GIS in public health practice. CRC Press, New Delhi, India, 205 pp.
DOI: https://doi.org/10.1201/9780203720349.ch13
Euklidiadas MM, 2020. Paris wants to become a ‘15-Minute City’. Smart City Lab; 2020. Available from: https://www.smartcitylab.com/blog/governance-finance/paris-15-minute-city/ Accessed: 15 February 2021.
Gaans DV, Graeme H, Tonkin, A. 2016. The development of a spatial model of accessibility to phase 2 cardiac rehabilitation programs. J Spat Sci 61:217-31.
DOI: https://doi.org/10.1080/14498596.2015.1059375
General Authority of Statistics, 2018. Data, Riyadh. Available from: https://www.stats.gov.sa/en/node Accessed: 15 February 2021.
General Authority of Statistics, 2019. Data, Riyadh. Available from: https://www.stats.gov.sa/en/node Accessed: 20 February 2021.
Gong H, Simwanda M, Murayama Y, 2017. An Internet-based GIS platform providing data for visualization and spatial analysis of urbanization in major Asian and African cities. ISPRS Int Geo-Inf 6:257.
DOI: https://doi.org/10.3390/ijgi6080257
Guagliardo MF, 2004. Spatial accessibility of primary care: concepts, methods and challenges. INT J Health Geogr 3:3.
DOI: https://doi.org/10.1186/1476-072X-3-3
Hamid A, Peng Q, 2014. Challenges and solutions for location of healthcare facilities. Ind Eng Man 3:2.
Khashoggi BF, Murad A, 2020. Issues of healthcare planning and GIS: a review. ISPRS Int Geo-Inf 9:352.
DOI: https://doi.org/10.3390/ijgi9060352
Kim Y, Byon YJ, Yeo H. 2018. Enhancing healthcare accessibility measurements using GIS: a case study in Seoul, Korea. PLoS One 13:e0193013.
DOI: https://doi.org/10.1371/journal.pone.0193013
Kistemann T, Queste A, 2016. GIS and communicable disease control. In: Craglia M, Maheswaran R (Eds.), GIS in public health practice. CRC Press, New York, NY, USA, 81 pp.
Lefebvre B, Chapelet P, 2005. Contextualizing the urban healthcare system. Methodology for developing a geodatabase of Delhi’s healthcare system. Rajdhani Art Press, New Delhi, India.
Li Z, Serban N, Swann JL, 2015. An optimization framework for measuring spatial access over healthcare networks. BMC Health Serv Res 15:273.
DOI: https://doi.org/10.1186/s12913-015-0919-8
Luo J, Tian L, Luo L, Yi H, Wang F, 2017. Two-step optimization for spatial accessibility improvement: a case study of health care planning in rural China. Bio Med Res Int 2017:12.
DOI: https://doi.org/10.1155/2017/2094654
Macharia PM, Ouma PO, Gogo EG, Snow RW, Noor AM, 2017. Spatial accessibility to basic public health services in South Sudan. Geospat Health 12:510.
DOI: https://doi.org/10.4081/gh.2017.510
Maheshwaran R, Haining, RP. 2004. Basic issues in geographical analysis. In: Craglia M, Maheswaran R (Eds.), GIS in public health practice. CRC Press, New York, NY, USA, 13 pp.
DOI: https://doi.org/10.1201/9780203720349.pt1
McAleer WE, Naqvi IA, 1994. The relocation of ambulance stations: a successful case study. Eur J Oper Res 75:582-8.
DOI: https://doi.org/10.1016/0377-2217(94)90298-4
Ministry of Health, 2020. Caring for our health, Saudi Vision 2030; Riyadh. Available from: https://www.vision2030.gov.sa/en/node/68 Accessed: 25 February 2021.
Moreno C, Allam Z, Chabaud D, Gall C, Pratlong F, 2021. Introducing the ‘15-Minute City’: sustainability, resilience and place identity in future post-pandemic cities. Smart Cities 4:93-111.
DOI: https://doi.org/10.3390/smartcities4010006
Murad A, 2005. Using GIS for planning public general hospitals at Jeddah City. JKAU Env Design Sci 3:3-22.
DOI: https://doi.org/10.4197/env.3-1.1
Murad A, 2018. Using GIS for determining variations in health access in Jeddah City, Saudi Arabia. ISPRS Int Geo-Inf 7:254.
DOI: https://doi.org/10.3390/ijgi7070254
Murad A, 2014. Using geographical information systems for defining the accessibility to health care facilities in Jeddah City, Saudi Arabia. Geospat Health 8:661.
DOI: https://doi.org/10.4081/gh.2014.295
Naji A, Almaimani A, Khan RR. 2020. Analysis of the current development of community centres in Jeddah City. Open House Int 45:249-68.
DOI: https://doi.org/10.1108/OHI-05-2020-0044
Papanikalaou BJ, 1950. World Health Organization. Tuberculosis surveys. V. Iran, Irak, Lebanon, Saudi Arabia, Syria and Transjordan. Tubercle 31:42-5.
DOI: https://doi.org/10.1016/S0041-3879(50)80088-0
Photis YN, 2016. Disease and health care geographies: mapping trends and patterns in a GIS. Health Sci J 10:1.
Rahman R, Al-Borie HM, 2020. Strengthening the Saudi Arabian healthcare system: role of vision 2030. Int J Healthcare MGT 3:1-9.
DOI: https://doi.org/10.1080/20479700.2020.1788334
Rahman SU, Smith DK, 2000. Use of location-allocation models in health service development planning in developing nations. Eur J Oper 123:437-52.
DOI: https://doi.org/10.1016/S0377-2217(99)00289-1
RÃos-Mercado RZ, Ãlvarez-Socarrás AM, Castrillón A, López-Locés MC, 2021. A location-allocation-improvement heuristic for districting with multiple-activity balancing constraints and p-median-based dispersion minimization. Comput Oper Res 126:105106.
DOI: https://doi.org/10.1016/j.cor.2020.105106
Salehi F, Ahmadian L, 2017. The application of geographic information systems (GIS) in identifying the priority areas for maternal care and services. BMC Health Serv Res 17:482.
DOI: https://doi.org/10.1186/s12913-017-2423-9
Serra D, Marianov V, 1998. The P-median problem in a changing network: the case of Barcelona. Lect Sci 6:383-94.
DOI: https://doi.org/10.1016/S0966-8349(98)00049-7
Smith G, 2021. Decentralization, healthcare and the 15-Minute Cities. Available from: https://www.greshamsmith.com/blog/15-minute-city-healthcare/ Accessed: 22 Feb 2021.
Tao J, Tao H, Qin K, Wang Y, Liu C, Gao Q, 2014. Selecting the optimal healthcare centres with a modified P-median model: a visual analytic perspective. Int J Health Geogr 13:42.
DOI: https://doi.org/10.1186/1476-072X-13-42
Tomintz M, Clarke GP, Alfadhli N, 2015. Location-allocation models, in geocomputation: a practical primer. SAGE, London, UK, 185 pp.
DOI: https://doi.org/10.4135/9781473916432.n11
Vansynghel M, 2020. Seattle could become the next 15-Minute City. Crosscut; 2020. Available from: https://crosscut.com/focus/2020/11/seattle-could-become-next-15-minute-city Accessed: 22 February 2021.
Wang F, 2012. Measurement, optimization, and impact of health care accessibility: a methodological review. Ann Assoc Am Geogr 102:1104-12.
DOI: https://doi.org/10.1080/00045608.2012.657146
Wang F, 2020. Why public health needs GIS: a methodological overview. Ann GIS 26:1-12.
DOI: https://doi.org/10.1080/19475683.2019.1702099
WHO, 2000. The World Health Report 2000. WHO, Geneva, Switzerland. Available from: https://www.who.int/whr/2000/en/whr00_en.pdf?ua=1 Accessed: 22 February 2021.
How to Cite
Murad, A., Faruque , F. ., Naji, A., & Tiwari, A. (2021). Using the location-allocation P-median model for optimising locations for health care centres in the city of Jeddah City, Saudi Arabia. Geospatial Health, 16(2). https://doi.org/10.4081/gh.2021.1002
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