Comparison of analytic network process (ANP) and analytical hierarchy process (AHP) method in land use planning based on multi objective land allocation (MOLA) method
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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Management and planning, distributing the economic and social activities as well as clearing hidden capacities in terms of the land’s potential and needs are the main goals of Land use planning. MOLA was used in order to zoning and planning Gorgan and Aliabad cities in eight major Land-uses. The method of analytic hierarchy process (AHP) and analytic network process (ANP) and the experts’ experiences were used for weighting the three main factors including ecological, economic and social factors. Compare zoning based on two ways AHP and ANP weighting also was evaluated. The results showed that the integration of applications based on AHP and ANP different weighting methods. According to the results of the integration of applications based on ANP method compared to the AHP with respect to slope, height, density of vegetation, rainfall and erosion ability in general is more appropriate. The results showed that according to total Kappa values (0.9151), spatial Kappa (0.9524), standard Kappa (0.9323), and chance agreement (0.1111), MOLA based zoning based on AHP and ANP weights had a similarity A lot. But the difference in the use of the AHP and ANP was 88663 pixels (7979 ha). For this purpose, statistical data on slope, height, vegetation density, precipitation and erodibility were extracted based on the weight of the two methods of AHP and ANP. According to the results, the placement of land use based on the ANP method in comparison with AHP is more appropriate in general. This means that the method has better performance in the ANP have been weighted to land-uses. The results of this study, the relationship and the importance of all aspects of ecological, economic and social planning and land use planning notes.
Language:
Persian
Published:
Journal of Rs and Gis for natural Resources, Volume:10 Issue: 2, 2019
Pages:
48 to 62
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