Assessing the citizens' views on the establishment of health center and determining the optimal locations in second district of of Fuladshahr city using spatial decision-making models
Subject Areas :hojat sadeghi 1 , Shohreh Omidi 2 , Fatemeh Abbasi 3
1 - Assistant Professor ,Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran
2 - Postgraduate Student, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran
3 - Postgraduate Student, Faculty of Geographical Sciences and Planning, University of Isfahan, Isfahan, Iran
Keywords: Optimal location l, urban development, spatial decision-making model.,
Abstract :
Nowadays, given the rapid growth of urbanization, the development of urban services, especially health and medical services, has gained significant importance. In this context, Fooladshahr, due to its peripheral position near the metropolis of Isfahan and its considerable population absorption, requires the expansion of healthcare services and the establishment of a new hospital. This study aimed to identify and prioritize optimal locations for constructing a hospital in District 2 of Fooladshahr. The research method was descriptive-analytical, and the data were analyzed using ArcGIS, Expert Choice, and SPSS software. For this purpose, raster layers of various criteria were prepared, standardized, and weighted through the AHP model. Subsequently, by overlaying the layers and applying the calculated weights, the final location map was produced.The results of the one-sample t-test indicated that at a significance level of less than 0.05, citizens considered the establishment of a new hospital an essential necessity. Furthermore, the analysis of the criteria showed that distance from existing healthcare centers with a weight of 0.362 and proximity to residential areas with a weight of 0.202 were the most influential factors in hospital site selection. Based on the generated maps, three suitable locations were proposed for the new hospital, with the most suitable area covering more than 12.83% of District 2. In addition, the results of the TOPSIS model revealed that location number one, with a weight of 0.573, was selected as the first priority, as it was identified to have favorable conditions in terms of spatial and temporal accessibility as well as the absence of land-related problems. The findings indicate that proper site selection can be an effective step toward the sustainable development of healthcare services in Fooladshahr.
Extended Abstract
Introduction
Nowadays, due to the rapid growth of urbanization, the development of urban services is very important and necessary. Based on this, the development of health-treatment services based on spatial and justice-oriented models can be a step towards the future. Hospitals are considered vital centers of cities and their optimal location can be very effective. In this regard, various human and natural factors are influential. The geographic information system and related methods have the ability to evaluate urban uses to create a new hospital. In this regard, to locate the hospital, it is necessary to examine various criteria. Considering different criteria can lead to determining the best location and decision. As one of the peripheral cities of Isfahan metropolis, Fuladshahr has a major role in attracting the population, and because of this role, the expansion of services, including medical services, is an undeniable necessity for this city. Therefore, considering the increase in population and future perspective in this field, the establishment of a new hospital can be effective in the sustainable development of this city. The purpose of this research is to determine and prioritize the optimal locations for the establishment of a hospital in two district of Fuladshahr.
Methodology
The research method is descriptive-analytical and based on spatial data. Data analysis was done by pairwise comparison method in Arc GIS and Expert Choice software. Raster layers associated with each criterion were prepared in the software and standardized through weighting operations. Also, AHP model was used to compare criteria and sub-criteria. By overlaying the layers and applying the calculated weights, the final map was prepared.The data have been prepared and analyzed through documentary and organizational methods. The basic data for the preparation of the maps was the location data obtained from the municipality of Fuladshahr. The criteria used in this research are 1- slope, 2- proximity to residential areas, 3- proximity to green space (park), 4- proximity to main streets, 5- distance from educational centers, 6- distance from religious centers. Mosque), 7-distance from commercial centers, 8-distance from existing health centers.
Results and discussion
First, the classes of the criteria were determined in Arc GIS software, and then based on the opinion of the experts and in the Expert Choice software, the options (classes) were compared in pairs and their final weight was calculated. Next, in the GIS environment, the weights were applied to the corresponding layers. Based on the results, appropriate to inappropriate areas have been determined for each criterion. For example, the highest weight for the slope index related to the interval or slope class of 0 to 35.4% was 0.474; Because the lower the slope, the better the situation for building a hospital. In the following, 8 main criteria are evaluated through the pairwise comparison method in order to determine their importance relative to each other in order to locate the new hospital. The results showed that the most important criterion in locating the new hospital was the distance criterion from the existing health centers with a weight of 0.362. In fact, the new hospital should have a suitable distance from the existing centers in order to be able to cover the entire urban area. Proximity to residential areas with a weight of 0.202 from the point of view of experts is known as another important criterion that has won the second rank. According to the prepared map, the green areas are known as the best areas for building a new hospital. These areas are located in the southeast, south and almost east of the urban area. According to the area index, the most suitable area for the construction of a new hospital occupies more than 12.83% of the urban area. This area is generally scattered in three parts of the southeast and south of the urban area. Also, the area suitable for establishing a hospital includes 8.07% of the entire urban area. After the new places to establish a hospital in two districts of Fuladshahr were determined, these places were prioritized using the TOPSIS decision-making method. To evaluate the 3 proposed locations, five indicators of location accessibility, time accessibility, centrality, proximity to wasteland and lack of land problems were emphasized. Based on the results, from the point of view of experts, the barren land index with a weight of 0.342, and then the location accessibility index with a weight of 0.224 are known as the most important indicators in prioritizing the three proposed locations. According to the results of the weighted matrix, location one with a weight of 0.182 has the best position in the location accessibility index. Also, in terms of the centrality index, location two with a weight of 0.155 had the best conditions. After going through various stages of evaluation of the proposed locations using the TOPSIS method, it was finally determined that location 1 with a weight of 0.573 was recognized as the first priority for establishing a hospital. This place has two establishments in the southeast part and near the street in the urban area.
Conclusion
According to the results, it can be concluded that distance from existing health centers with a weight of 0.362 and then proximity to residential areas with a weight of 0.202 were recognized as the most important criteria in locating a new hospital. Also, based on the weighted map, three places have been proposed for the construction of a new hospital in two districts of Fuladshahr, and the most suitable area for the establishment of a hospital has been allocated more than 12.83% of the urban area. According to the results of the TOPSIS model, the first priority for the construction of a new hospital is location 1 with a weight of 0.573, which is known to be in a favorable condition in terms of location accessibility, time accessibility and lack of land problems.
1. Adalı, E. A., & Tuş, A. (2021). Hospital site selection with distance-based multi-criteria decision-making methods. International Journal of Healthcare Management, 14(2), 534-544. doi.org/10.1080/20479700.2019.1674005
2. Ağaç, G., & Şimşir, İ. (2022). Optimal site selection of a pandemic hospital using multi-criteria decision-making approach. International Journal of the Analytic Hierarchy Process, 14(1),1-27. https://ijahp.org/index.php/IJAHP/article/download/946/793
3. Almansi, K.Y., Shariff, A.R., Abdullah, A.F., & Syed Ismail, S.N. (2021). Hospital Site Suitability Assessment Using Three Machine Learning Approaches: Evidence from the Gaza Strip in Palestine. Applied Sciences,11(2),1-22. doi.org/10.3390/app112211054
4. Bagheri, F., Dehghan, M., & Ziaratban, M. (2017). Selecting the most proper location to construct hospitals and health centers in a city by Genetic Algorithm. Jorjani Biomedicine Journal, 5(2), 78-90. http://goums.ac.ir/jorjanijournal/article-1-562-en.html
5. Boyacı, AÇ., Şişman, A.(2022). Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets, Environ Sci Pollut Res Int. 29(2),1985-1997.doi. 10.1007/s11356-021-15703-7
6. Chatterjee, D., Mukherjee, B .(2013). Potential hospital location selection using AHP: A study in rural India. Int J Comput Appl, 71(17), 1–7. https://core.ac.uk/download/pdf/228546495.pdf
7. Daneshpour, h., Caviani, S., Shahriari, S. (2022). Locating healthcare centers using AHP hierarchical analysis process and GIS software (Case example: District 6 of Shiraz). The second international conference on architecture, civil engineering, urban planning, environment and horizons of Islamic art in the statement of the second step of the revolution. https://civilica.com/doc/1614060/[In Persian].
8. Freddy, H. T. R., Achmad, W., & Nasution, M. S. (2022). The Effectivity Of Public Services Based On Smart Goverment In Bukit Raya Distric Pekanbaru City. Journal of Governance, 7(1), 239-259. https://jurnal.untirta.ac.id/index.php/jog/article/view/14557
9. Garvelink, M. M., Emond, J., Menear, M., Brière, N., Freitas, A., Boland, L., ... & Légaré, F. (2016). Development of a decision guide to support the elderly in decision making about location of care: an iterative, user-centered design. Research Involvement and Engagement, 2, 1-16. https://link.springer.com/article/10.1186/s40900-016-0040-0
10. Haase, D. (2021). Integrating Ecosystem Services, Green Infrastructure and Nature-Based Solutions—New Perspectives in Sustainable Urban Land Management: Combining Knowledge About Urban Nature for Action. Sustainable Land Management in a European Context: A Co-design Approach, 305-318. DOI:10.1007/978-3-030-50841-8_16
11. Hajinejad, A., Tulabinejad, M., Sadeghi, K. (2019). Optimum location and health and treatment centers using ANP and GIS (case study: Rashtkhar District, Razavi Khorasan). Journal of Human Settlement Planning Studies. (51) 15, 79-100. http://jshsp.iaurasht.ac.ir[In Persian].
12. Hamta, N., Saghari, M., Ehsanifar, M. (2020). Optimal location of the hospital using the combined approach of ANP and GIS in the fuzzy environment (case study: Arak city). Structural Engineering and Construction, 8(6), 301-324. . 10.22065/JSCE.2020.183168.1844[In Persian].
13. Heydari Arjalo, T., Masheksar, p., Ghanbari, F. (2023). Evaluation of citizens' satisfaction with the performance of urban management in the field of urban services (case study of District 2 of Shiraz Municipality). Journal of Urban Future Studies. 3(2), 88-114. 10.30495/UF.2023.1983252.1113 [In Persian].
14. Ismail, S. N. S., & Ueda, N. (2022). Performance evaluation of hospital site suitability using multilayer perceptron (MLP) and analytical hierarchy process (AHP) models in Malacca, Malaysia. Sustainability. 14(7), 6-32. https://www.mdpi.com/2071-1050/14/7/3731
15. Jamini, A., Jamshidi, A., Ismaili, Z. (2021). Investigation and analysis of the state of the happy city and identification of its determinants in small urban spaces (case study: Ravansar city), urban environment planning and development, 1(4), 15-28. 20.1001.1.27833496.1400.1.4.2.6[In Persian].
16. Jodaki, A. (2019). Locating healthcare centers using AHP method in GIS environment (case study: Semnan city). Environmental studies magazine. (51) 13, 83-63. https://www.sid.ir/paper/393516/fa[In Persian].
17. Kaveh, M., Kaveh, M., Mesgari, MS., Paland, RS. (2020). Multiple criteria decision-making for hospital location-allocation based on improved genetic algorithm. Appl Geomatics , 12(1), 291–306.doi. 10.1007/s12518-020-00297-5
18. Khoshnaw, A. K. A. (2019). Analysis and evaluation of soil and water geography in distribution of health services in rania district by using geographic information system (Master's thesis, Fen Bilimleri Enstitüsü). https://acikbilim.yok.gov.tr/handle/20.500.12812/69927
19. Kim, J. I., Senaratna, D. M., Ruza, J., Kam, C., & Ng, S. (2015). Feasibility study on an evidence-based decision-support system for hospital site selection for an aging population. Sustainability, 7(3), 2730-2744. https://doi.org/10.3390/su7032730
20. Lai, C. S., Jia, Y., Dong, Z., Wang, D., Tao, Y., Lai, Q. H., ... & Lai, L. L. (2020). A review of technical standards for smart cities. Clean Technologies, 2(3), 290-310. doi.org/10.3390/cleantechnol2030019
21. Lim, Y., Edelenbos, J., & Gianoli, A. (2019). Identifying the results of smart city development: Findings from systematic literature review. Cities, 95, 102397. doi.org/10.1016/j.cities.2019.102397
22. Lindgren, I., Madsen, C. Ø., Hofmann, S., & Melin, U. (2019). Close encounters of the digital kind: A research agenda for the digitalization of public services. Government information quarterly, 36(3), 427-436. doi.org/10.1016/j.giq.2019.03.002
23. Mahmoud, M. S. A., Ibrahim, M., Magid, A., Abdullah, S. M. A., & El-Tayeb, N. M. (2015). Development of Health Care Systems in Subareas of KSA Using GIS Concept. Journal of Information Sciences and Computing Technologies, 1(1), 7-53. https://core.ac.uk/download/pdf/267832032.pdf
24. Maliki Nizamabad, R., Ziari, K., Dadashzadeh, A. (2019). Spatial prioritization of the development of healthcare service centers using AHP (case study: Miandoab city). Journal of Human Geographical Research. (3) 54, 953-967. https://doi.org/10.22059/jhgr.2020.104886.1006794[In Persian].
25. Mehrafzon, M. (2016). Explaining the role of distribution of urban services in the development of urban economy (case study of Borujerd city), Journal of geography and urban planning of Zagros perspective, 9(33), 189-212. https://zagros.borujerd.iau.ir/article_537732.html[In Persian].
26. Mikaniki, J., Sadeghi, H. (2011). Locating health-treatment centers (hospitals) in Birjand city, through the integration of network analysis process (ANP) and pairwise comparison in GIS environment, Journal of environmental research, 19(4), 121-142. magiran.com/p1122565[In Persian].
27. Mosadeghrad, A. M., Dehnavi, H., & Darrudi, A. (2020). Equity in geographical distribution of hospital beds in Khuzestan Province. EBNESINA, 22(2), 44-55. https://ebnesina.ajaums.ac.ir/article-1-840-en.html
28. Motamedi, M., Rasouli, H., Nasiri, M. (2018). Evaluation of citizens' satisfaction with the performance of urban management in the field of urban services, case study: Faruj city. Applied Research Journal of Geographical Sciences, 19(55), 116-99. 10.30495/UF.2023.1983252.1113[In Persian].
29. Mustafa, D., Farida, U., & Yusriadi, Y. (2020). The effectiveness of public services through E-government in Makassar City. International Journal of Scientific & Technology Research, 9(1), 1176-1178. DOI: 10.1080/01900692
30. Noh, T. R., & Lee, S. J. (2021). A Case Study and Implications on Improvements in Environmental Design of Outpatient Department and Health Examination Center in Mental Health Hospital-For Health Promotion Department of National Mental Health Center. Journal of The Korea Institute of Healthcare Architecture, 27(3), 17-26.https://doi.org/10.15682/jkiha.2021.27.3.17
31. Nsaif, QA., Khaleel, SM., Khateeb ,AH. (2020). Integration of GIS and remote sensing technique for hospital site selection in Baquba district. Journal of Eng Sci Technol, 15(3),1492–1505. https://jestec.taylors.edu.my/Vol%2015%20issue%203%20June%202020/15_3_3.pdf
32. Parvin, F., Ali, S. A., Hashmi, S. N. I., & Khatoon, A. (2021). Accessibility and site suitability for healthcare services using GIS-based hybrid decision-making approach: a study in Murshidabad, India. Spatial Information Research, 29, 1-18.doi. 10.1007/s41324-020-00330-0
33. Pınar, M. İ. Ç., & Antmen, Z. F. (2019). A healthcare facility location selection problem with fuzzy TOPSIS method for a regional hospital. Avrupa Bilim ve Teknoloji Dergisi, 16(2), 750-757. doi.org/10.31590/ejosat.584217
34. Pineda, V. S., & Corburn, J. (2020). Disability, urban health equity, and the coronavirus pandemic: promoting cities for all. Journal of Urban Health, 97, 336-341.doi. 10.1007/s11524-020-00437-7
35. Pourshikhian, A., Amar, T., Ebrahimi, A. (2011). Analysis of the location criteria of health-treatment centers in Bandar Anzali city. Journal of the Zagros of Geographical Landscape, 7(21), 88-100. 20.1001.1.25385968.1391.7.21.8.8[In Persian].
36. Ramzi, A. I., & El-Bedawi, M. A. L. (2019). Towards integration of remote sensing and GIS to manage primary health care centers. Applied Computing and Informatics, 15(2), 109-113. doi.org/10.1016/j.aci.2017.12.001
37. Rezayee, M .(2020). Hospital site selection in Iskandar Malaysia using GIS-multi criteria analysis. Int J Basic Sci Appl Comput , 2(10), 8–15. https://www.ijbsac.org/wp-content/uploads/papers/v2i10/K01590121020.pdf
38. Rezayee, M. (2020). Hospital site selection in Iskandar Malaysia using GIS- Multi criteria Analysis. International Journal Of Basic Sciences And Applied Computing. 10(2), 8-15. https://www.ijbsac.org/wp-content/uploads/papers/v2i10/K01590121020.pdf
39. Rimal, B., Sharma, R., Kunwar, R., Keshtkar, H., Stork, N. E., Rijal, S., ... & Baral, H. (2019). Effects of land use and land cover change on ecosystem services in the Koshi River Basin, Eastern Nepal. Ecosystem services, 38(1),23-42. doi.org/10.1016/j.ecoser.2019.100963
40. Sadeghi, H. (2024). Comparative Evaluation of Fuzzy Overlay Models for Identifying Potential Sites for Tourist Accommodation in Dezpart Region Using Gamma and Sum Models. Spatial Planning, 13(4), 1-22. doi: 10.22108/sppl.2023.138669.1759[In Persian].
41. Şahin, T., Ocak, S., Top, M.(2019). Analytic hierarchy process for hospital site selection. Health Policy Technol, 8(2),42–50. doi.org/10.1016/j.hlpt.2019.02.005
42. Samadi, M., Moradi, N., Ghorbani, R. (2021). Locating the hospital in Mallard city using AHP Fuzzy model in Arc GIS environment. Journal of Geography and Human Relations. (3) 4, 205-223. https://dorl.net/dor/20.1001.1.26453851.1400.4.3.13.9[In Persian].
43. Sanders, C. L., & McKay, K. H. (2013). The Search for “Strong Medicine”: Pathways to healthcare development in remote Nepal using GIS. Technology & Innovation, 15(2), 109-124. DOI: https://doi.org/10.3727/194982413X13650843068799
44. Sarvar, H. (2022). An analysis on the spatial distribution of hospital centers and providing an optimal model of access (case study: Marand city), Geography Magazine (Regional Planning), 12(49), 124-140. 10.22034/JGEOQ.2023.207587.2184[In Persian].
45. Shafii, M., Afrazandeh, S. M., CharRahi, Z., Al-Modaresi, S. A., & Askari, R. (2023). The Optimized Location of Hospitals Using an Integrated Approach GIS and Analytic Hierarchy Process: A Case Study in Iran. Iranian Journal of Health Sciences, 11(3), 195-206. https://jhs.mazums.ac.ir/article-1-871-en.html
46. Sharma, P. (2020). Opportunities and struggles of decentralized governance reform for urban municipalities in India. World Development Perspectives, 17(1),21-38. doi.org/10.1016/j.wdp.2020.100174
47. Sharmin, N., & Neema, M. N. (2013). A GIS-based multi-criteria analysis to site appropriate locations of hospitals in Dhaka City. Hospital, 8, 1-37. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=6275527f0f9b6711ea343451a7f168235ec0f2f7
48. Soltani, A., Marandi, EZ .(2011). Hospital site selection using two-stage fuzzy multi-criteria decision making process. J Urban Environ Eng, 5(1),32–43. https://www.jstor.org/stable/26203354
49. Todorov, L., & Todorova, E. (2023). GIS-based location analysis for hospital site selection: A case study on National Children’s Hospital in Sofia, Bulgaria. Journal of the Bulgarian Geographical Society. 49(2), 3-15. https://doi.org/10.3897/jbgs.e108502
50. Vahidnia, MH., Alesheikh, AA., Alimohammadi ,A. (2009). Hospital site selection using fuzzy AHP and its derivatives. J Environ Manag, 90,3048–3056. doi.org/10.1016/j.jenvman.2009.04.010
51. Yang, C., Zeng, W., & Yang, X. (2020). Coupling coordination evaluation and sustainable development pattern of geo-ecological environment and urbanization in Chongqing municipality, China. Sustainable Cities and Society, 61(2),29-45. doi.org/10.1016/j.scs.2020.102271
52. Zhang, X., Chen, N., Sheng, H., Ip, C., Yang, L., Chen, Y., ... & Niyogi, D. (2019). Urban drought challenge to 2030 sustainable development goals. Science of the Total Environment, 693(1),1-20. doi.org/10.1016/j.scitotenv.2019.07.342
