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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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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