Possess of locating the elementary schools using combined FAHP-Fuzzy logic in the GIS

M. Mohammadi Ramandi, B. Ghermez Cheshme


According to population growth and consequently students growth and on the other hand lack of educational spaces, imbalance in supply (students) and demand (educational centers), it causes high population density of students in classrooms, beyond standards. In addition, imbalanced population density causes accessibility problems to these centers and also spending a lot of students’ time and money. The mentioned problems are due to weaknesses in the construction of schools in appropriate locations. Lots of urban dilemmas such as traffic, pollution, Social and cultural issues and security can reduce by choosing appropriate location for construction of schools. There are different methods for determining the appropriate locations for the construction of schools, among which the most important is the hierarchical process analysis method. In this study, using Fuzzy logic in the geographical information system (GIS), space Distribution and Location of deployment and Functional radius of the elementary schools in the Qazvin city have investigated  and also in the network analysis method, areas out of schools coverage have been specified. Then, using Fuzzy Analytical Hierarchy Process, layers, criteria and also effective sub-criteria in choosing location of elementary schools, weighted and combined each other and appropriate and inappropriate locations for construction of elementary schools, especially in areas that placed out of schools coverage, have obtained. Results show that the elementary schools of the Qazvin city aren’t enough for covering all of the total area, and some of the northern, eastern and western neighborhoods despite having the necessary student density, are deprived of having elementary school and also are out of the coverage of existing schools.


locating of schools; fuzzy logic; FAHP; Qazvin city

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DOI: http://dx.doi.org/10.15421/2018_210

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© 2017 Ukrainian Journal of Ecology. ISSN 2520-2138