scholarly journals Implications of a Spatial Multicriteria Decision Analysis for Urban Development in Ulaanbaatar, Mongolia

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Purevtseren Myagmartseren ◽  
Myagmarsuren Buyandelger ◽  
S. Anders Brandt
Keyword(s):  
Urban Development ◽  
Decision Analysis ◽  
Geographical Information Systems ◽  
New Technology ◽  
Multicriteria Decision Analysis ◽  
Geographical Information ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Elevation Data ◽  
Hierarchy Process

New technology has provided new tools for effective spatial planning. Through the example of locating suitable sites for urban development in Ulaanbaatar, this paper illustrates how multicriteria decision analysis and geographical information systems can be used for more effective urban planning. Several constraint and factor criteria were identified, transformed into map layers, and weighted together using the analytic hierarchy process. Besides localization results, this study shows the effect of using poor elevation data and how a sensitivity analysis can be applied to yield further information, spot weighting weaknesses, and assess the quality of the criteria.

GIS-based analytic hierarchy process as a multicriteria decision analysis instrument: a review

2012 ◽  
Vol 6 (8) ◽  
pp. 3059-3066 ◽  
Author(s):  
Imtiaz Ahmed Chandio ◽  
Abd Nasir B. Matori ◽  
Khamaruzaman B. WanYusof ◽  
Mir Aftab Hussain Talpur ◽  
Abdul-Lateef Balogun ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Analysis Instrument ◽  
Hierarchy Process

IMPLEMENTATION OF GIS-BASED MULTICRITERIA DECISION ANALYSIS WITH VB IN ArcGIS

2011 ◽  
Vol 10 (06) ◽  
pp. 1023-1042 ◽  
Author(s):  
DERYA OZTURK ◽  
FATMAGUL BATUK
Keyword(s):  
Decision Analysis ◽  
Geographical Information Systems ◽  
Weighted Average ◽  
Multicriteria Decision Analysis ◽  
Geographical Information ◽  
Scale Transformation ◽  
Linear Scale ◽  
Validity And Reliability ◽  
Flood Vulnerability ◽  
Multicriteria Decision

This article focuses on the integration of multicriteria decision analysis (MCDA) and geographical information systems (GIS) and introduces a tool, GIS–MCDA, written in visual basic in ArcGIS for GIS-based MCDA. The GIS–MCDA deals with raster-based data sets and includes standardization, weighting and decision analysis methods, and sensitivity analysis. Simple additive weighting, weighted product method, technique for order preference by similarity to ideal solution, compromise programming, analytic hierarchy process, and ordered weighted average for decision analysis; ranking, rating, and pairwise comparison for weighting and linear scale transformation for standardization can be applied by using this tool. The maximum score and score range procedures can be used for linear scale transformation. In this article also an application of the GIS–MCDA to determine the flood vulnerability of the South Marmara Basin in Turkey is examined. To check the validity and reliability of the results, the flood vulnerability layer is compared with flood-affected areas.

scholarly journals Geographical Information System (GIS) Based Multi-Criteria Decision Analysis for Categorization of the Villages: In the Case of Kabul New City Villages

Urban Science ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 65
Author(s):  
Said Mustafa Habibi ◽  
Hiroko Ono ◽  
Ashutosh Shukla
Keyword(s):  
Decision Analysis ◽  
Geographical Information ◽  
Analytic Hierarchy ◽  
Multi Criteria Decision Analysis ◽  
Final Output ◽  
Development Plans ◽  
Urban Problems ◽  
New City ◽  
The Government ◽  
Hierarchy Process

Kabul is experiencing the most powerful wave of urbanization in its history. With the rapid increase of population, typical urban problems such as lowering of the groundwater table, an influx of returnees, traffic jams, deterioration of sanitation, etc., are becoming critical. In 2006, to decrease the pressure from existing Kabul and take measurements for future urbanization process, an independent board was established for the development of a new city adjacent to the existing Kabul by the name of Kabul New City (KNC). There were already 54 villages that existed there. Due to smoothly implementing the master plan and supporting the existing villages, it was necessary to prepare village development plans. As each village has its own characteristics from the urban planning perspective, therefore this research explains a method for categorization of villages through multi-criteria decision analysis; seven potential criteria were identified and rated in collaboration with experts, and Super Decision software was used as an Analytic Hierarchy Process (AHP) tool to weight the criteria. The final output is a map showing different categories of villages. It will assist the government and urban planners in choosing a clear strategy and platform for developing each individual village to be sustainable and applicable.

scholarly journals Using GIS & Multicriteria Decision analysis in landslide susceptibility mapping - a case study in Messinia prefecture area (SW Peloponnesus, Greece)

2007 ◽  
Vol 40 (4) ◽  
pp. 1973 ◽  
Author(s):  
I. Ladas ◽  
I. Fountoulis ◽  
I. Mariolakos
Keyword(s):  
Decision Analysis ◽  
Land Use Planning ◽  
Landslide Susceptibility ◽  
Construction Projects ◽  
Multicriteria Decision Analysis ◽  
Combination Method ◽  
Landslide Susceptibility Mapping ◽  
Susceptibility Map ◽  
Analytic Hierarchy ◽  
Multicriteria Decision

The purpose of this study is to assess the susceptibility of landslides at the eastern part of Messinia prefecture using GIS and Multicriteria Decision Analysis. Analytic Hierarchy Process and Weighted Linear Combination method were used to create a landslide susceptibility map for the study area. The produced map provides valuable information concerning the stability conditions of the territory and may serve as the first step in a complete hazard assessment towards the mitigation of natural landslide disasters in Messinia Prefecture area. Particularly the intention is to transfer effectively information regarding slope stability to non-geologists who take decisions for future land use planning processes and major construction projects.

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