International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Double Blind Reviewed

ISSN: 2319-7064

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Research Paper | Information Technology | Afghanistan | Volume 8 Issue 9, September 2019

IT Based Land Suitability Modeling for Urban Development Using GIS: A Case Study of Kabul City, Afghanistan

Hazrat Mohammad Wahdaty

Abstract: This paper was directed by using Land Suitability Analysis (LSA) to decide the best areas for urban development in Kabul city utilizing an incorporated GIS-AHP model. The outcomes of this paper showed that GIS-AHP is a helpful strategy for ecological administration and for planning urban areas. With the produced criteria, maps were standardized by utilizing the pairwise comparison matrix technique. Weights for every model were produced by contrasting each other based on their significance. Criteria weights and maps were joined utilizing Weight Age Average (OWA) and Weighted Linear Combination (WLC). For determining the suitability of land for Urban Development Six thematic layers namely (Slope, Road, Land use, River, Settlement and Elevation) were utilized to distinguish the appropriate land for urban Development. Their weighted scores were obtained by AHP as per the pairwise comparison. For multiplying the weight and score of each factor Linear combination method was used and then its result was multiplied for making the urban development suitable. The highly suitable land was 45.3 sq. km, moderately suitable land was 191.77 sq. km, marginally suitable land 72.14 sq. km and 0.79 sq. km area was not suitable.

Keywords: ICT, Urban Development, Suitable area, GIS, Analytical Hierarchy Process

Edition: Volume 8 Issue 9, September 2019,

Pages: 235 - 240

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How to Cite this Article?

Hazrat Mohammad Wahdaty, "IT Based Land Suitability Modeling for Urban Development Using GIS: A Case Study of Kabul City, Afghanistan", International Journal of Science and Research (IJSR), Volume 8 Issue 9, September 2019, pp. 235-240,

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