Abstract
Urban managers are faced with complex decisions, including the decision to select a suitable location for service centers, based on several conflicting criteria noted. The purpose of this research is a comparative study on site selection methods for modeling hospital locating. According to the present article, new locations were found to manage better and complete Amol city coverage with eight specified criteria. The research area in terms of proximity to major roads, green spaces, fire stations and distance from the river, industrial land uses, education land uses, hospitals and sport land uses has been studied. As well as for weighing the criteria, the model of AHP was implemented. Then, using the TOPSIS model in ArcGIS software, the valuation of standards was analyzed, and suitable maps were created that show the best place for the hospital building. In the next step, using the Fuzzy Logic model in ArcGIS, another appropriate map is prepared, and the results of the two models have been compared together. The results revealed that the Multi-Criteria Decision Making (MCDM) system with GIS could be an effective hospital site selection tool. Anyway, there are some differences between the results of the models. Fuzzy Logic is better suited to the hospital locating. The location of hospitals away from existing spaces in the Fuzzy Logic model shows this model's ability in comparison with the TOPSIS model.
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References
Abdullahi, S., Rodzibin Mahmud, A., Pradhan, B.: Spatial modelling of site suitability assessment for hospitals using geographical information system-based multicriteria approach at Qazvin city, Iran. Geocarto Int. 29(2), 164–184 (2014)
Ali Akbari, A., Emadodin, A.: Quantitative and qualitative evaluation of urban land use with emphasis on distribution system and proximity patterns (case study: district 1 Gorgan City). Human Geography Res. 44(1), 157–172 (2012). (In Persian)
Beheshtifar, S., Mesgari, M.S., Veldan Zoj, M.J.: Using fuzzy logic in gis environment for site selection of gas power plant. Civil Eng. Infrastructures J. (J. Faculty of Eng.) 44, 583–595 (2010)
Bonham-Carter, G.F.: Geographic information systems for geoscientists: modelling with GIS, vol. 13. Access Online via Elsevier (1994)
Behzadi, S., Alesheikh, A.A.: Hospital site selection using a BDI agent model. Int. J. Geography Geology 2(4), 36–51 (2013)
Chen, S.J., Hwang, C.L.: Fuzzy Multiple Attribute Decision Making: Methods and Applications. Springer, Berlin (1992)
Chiu, J.E., Tsai, H.H.: Applying analytic hierarchy process to select optimal expansion of hospital location: the case of a regional teaching hospital in Yunlin. In: 2013 10th International Conference on Service Systems and Service Management, ICSSSM 2013, Hong Kong (2013)
Cox, E., O'Hagan, M., Taber, R., & O'Hagen, M., (1998). The Fuzzy Systems Handbook with Cdrom: Academic Press, Inc.
Dixon, B.: Groundwater vulnerability mapping: a GIS and fuzzy rule based integrated tool. Appl. Geogr. 25(4), 327–347 (2005)
Esri: Environmental Systems Research Institute (2011). How Fuzzy Overlay works, ArcGIS Resource Center
Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making: Methods and Applications. Springer, Berlin (1981)
Iranian Statistics Centre. (2016). General census of population and housing of Amol City
Jahanshahloo, G.R., Lotfi, F.H., Davoodi, A.: Extension of topsis for decisionmaking problems with interval data: Interval efficiency. Math. Comput. Model. 49(5), 1137–1142 (2009)
Kamran, K.V.: Comparison of boolean, overlay index and fuzzy logic methods for hazardous material disposal center site selection. Islamic Azad University-Ahar Branch Geographic Space An Approved Scientific. Res. Based J. 25, 9–24 (2008)
Kumar, P., Kumar Singh, R., Sinha, P.: Optimal site selection for a hospital using a fuzzy extended ELECTRE approach. J. Manage. Anal. 3(2), 115–135 (2016). https://doi.org/10.1080/23270012.2016.1152170
Paez, A., Mercado, R., Farber, S., Morency, C., Roorda, M.: Accessibility to healthcare facilities in Montreal Island: an application of relative accessibility indicators from the perspective of senior and non-senior residents. Int. J. Health Geogr. 9(1), 52 (2010)
Ranjbar, B., Murgante, B., Molaei, M., Rustaei, S.: A comparative study employing CIA methods in knowledge-based urban development with emphasis on affordable housing in iranian cities (Case: Tabriz). In: Gervasi, O., et al. (eds.) ICCSA 2017. LNCS, vol. 10407, pp. 485–501. Springer, Cham (2017). Doi: https://doi.org/10.1007/978-3-319-62401-3_35
Robinove, C.J.: Principles of logic and the use of digital geographic information systems: Department of the Interior, US Geological Survey (1986)
Rydin, Y.: Healthy cities and planning. Town Plann. Rev. 83, 1–6 (2012)
Rydin, Y., et al.: Shaping Cities for Health: the complexities of planning urban environments in the 21st century. Lancet 379 (Special Issue), 2079–2108 (2012)
Şahin, T., Saffet, O., Mehmet, T.: Analytic hierarchy process for hospital site selection. Health Policy Technol. 8(1), 42–50 (2019)
Sarkar, C., Webster, C., Gallacher, J.: Urban built environment configuration and psychological distress in later life: cross-sectional results from the Caerphilly Prospective Study (CaPS). Healthy Cities. Public Health through Urban Planning, pp. 255–276 (2014)
Dehghani Soufi, M., Ghobadian, B., Najafi, G., Sabzimaleki, M.R., Yusaf, T.: TOPSIS multi-criteria decision modeling approach for biolubricant selection for two-stroke petrol engines. Energies 8(12), 13960–13970 (2015)
Vahidnia, M.H., Alesheikh, A.A., Alimohammadi, A.: Hospital site selection using fuzzy AHP and its derivatives. J. Environ. Manag. 90(10), 3048–3056 (2009)
Wu, C., Lin, C., Chen, H.: Optimal selection of location for Taiwanese hospitals to ensure a competitive advantage by using the analytic hierarchy process and sensitivity analysis. 42(3), 1431–1444 (2007)
Zadeh, L.A.: Fuzzy sets. Information and control 8(3), 338–353 (1965)
Zhou, L., Wu, J.: GIS-Based Multi-Criteria Analysis for Hospital Site Selection in Haidian District of Beijing, Master thesis in Geomatics, Hogscolan I Gavlee, China (2012)
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Fang-yu, F., Qelichi, M.M., Namjooyan, F., Asadi, A. (2022). A Comparative Study on Site Selection Methods for Modeling Hospital Locating in Urban Area, A Case Study in Iran. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. Lecture Notes in Computer Science, vol 13379. Springer, Cham. https://doi.org/10.1007/978-3-031-10545-6_37
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