أهمية التمثيل السكاني الأمثل باستخدام نماذج تخصيص المواقع في نظم المعلومات الجغرافية

Abstract

The importance of population representation using Location

 Allocation models in GIS

Abstract

The representation of geographic distribution of the population is one of the main factors in determining the optimal geographic distribution of services using location allocation models. This study aims to provide scientific support for decisions to select optimal locations for facilities or services and to fill the gap in previous studies regarding the importance of optimal population representation with one of the most important Location Allocation Models in p-median model. Two types of population representation were used in this study to represent the size of the population's demand for primary health care centers in Riyadh, First, the centroid point of the residential neighborhood, secondly: the population's estimation of smaller spatial units of the neighborhoods using one of the most important and accurate Areal Interpolation Techniques, Dasymetric Mapping. The results of the study showed clear differences in the decisions to choose the optimal spatial distribution of services and geographical coverage when the p-median model was applied on the surface of the population representation at the centroid point of the residential district or on the surface of the population representation results using Dasymetric Mapping techniques. These results give a clear indication of the extent of the difference in determining the optimal geographical distribution of services for the top 10, 25 and 50 primary health care center service locations at different distances selected from 1,500 to 3,000 meters according to the geographic coverage of the population, which ranged from 1031,917 to 4153,389 people when using the centroid point, and between 656,347 and 4286,472 people for the use of the Dasymetric Mapping techniques. Dasymetric Mapping reflects the importance of optimal population representation when using location allocation models, and is very wary of using the centroid point of the neighborhood, especially as the techniques of spatial ization and accuracy of their results progress.

Kay words:

Location Allocation Models; p-median model; Areal Interpolation Techniques; Dasymetric Mapping.