scholarly journals GIS-Based Decision Support System for Safe and Sustainable Building Construction Site in a Mountainous Region

2022 ◽  
Vol 14 (2) ◽  
pp. 888
Author(s):  
Javed Mallick ◽  
Abdulaziz Awad Ibnatiq ◽  
Nabil Ben Kahla ◽  
Saeed Alqadhi ◽  
Vijay P. Singh ◽  
...  
Keyword(s):  
Decision Making ◽  
Protected Areas ◽  
Linear Combination ◽  
Site Selection ◽  
Fuzzy Ahp ◽  
Building Construction ◽  
Weighted Linear Combination ◽  
Safe Site ◽  
Suitable Site ◽  
Very High

The site selection process for a building entails evaluating a variety of factors with varying degrees of importance or percentage influence. In order to ensure that critical site selection factors are not overlooked, a methodology for calculating a building’s safe site selection must be developed. The study identified three broad aspects widely considered in site selection, namely environmental, physical, and socioeconomic criteria. To assess the safest site selection of residential building construction for sustainable urban growth, we used GIS-based multi-criteria decision-making approach that combined Fuzzy-AHP and weighted linear combination (WLC) aggregation method used to calculate the SSPZ. The final safe site suitability map was generated by aggregating all aspects such as geophysical, socio-economic and Geo-environmental thematic layers and their associated Fuzzy-AHP weights using the weighted linear combination method. The sites potential index’s mean value of 0.513 with standard deviation of 0.340, minimum and maximum GeoPhySSSI are 0.0 and 0.91, respectively, SSS index is classified into zones by histogram profile using natural breaks (jenks)” Subsequently, safe sites identified and divided into six classes namely no construction, very low suitable site low suitable site, moderate suitable site, high suitable site, and very high suitable site.“ According to the statistical analysis, 3.64% and 32.12% of the total area were under very high and high SSSZ, while 26.40% and 6.22% accounted to the moderate and low suitable potential, respectively” Our findings suggest that integrating the fuzzy collection with AHP is highly desirable in terms of alternative and decision-making effectiveness. The study reveals that the areas of high and moderate suitability are located near existing habitant area, major roads, and educational and health services; they are not located in restricted/protected areas or are vulnerable to natural hazards. The findings indicate that unsuitable and less-suitable land uses such as vegetation, protected areas, and agriculture lands cover nearly one-third area of Abha-Khamis Mushyet regions, implying that using Fuzzy-AHP and GIS techniques will significantly aid in the conservation of the environment. This would significantly mitigate adverse effects on the ecosystem and climate.

scholarly journals GIS-SUPPORTED MAPPING OF SUITABLE PARKING AREAS USING AHP METHOD: THE CASE OF KONYA

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 51-56
Author(s):  
T. Alkan ◽  
S. S. Durduran
Keyword(s):  
Decision Making ◽  
Information System ◽  
Analytical Hierarchy Process ◽  
Site Selection ◽  
Multi Criteria Decision Making ◽  
Situation Analysis ◽  
Ahp Method ◽  
Criteria Weights ◽  
Suitable Site ◽  
Hierarchy Process

Abstract. The increase in the number of vehicles with the increasing population has caused the problem of parking insufficiency. This problem necessitate situation analysis of existing parking areas and site selection analyses for new parking areas. It is possible to make suitable site selections with spatial analysis supported by Geographic Information System (GIS). In this study, available parking areas in Selçuklu district of Konya province were evaluated and suitable parking areas were determined in line with the needs. The criteria affecting the parking areas site selection were determined and the importance levels of the criteria were detected by using the Analytical Hierarchy Process (AHP) which is one of the Multi-Criteria Decision Making (MCDM) methods. Density analyses were carried out with GIS and suitable parking areas map was produced considering the criteria weights obtained.

scholarly journals GIS-BASED SITE SELECTION FOR UNDERGROUND NATURAL RESOURCES USING FUZZY AHP-OWA

2017 ◽  
Vol XLII-4/W4 ◽  
pp. 463-468 ◽  
Author(s):  
A. R. Sabzevari ◽  
M. R. Delavar
Keyword(s):  
Decision Making ◽  
Natural Gas ◽  
Site Selection ◽  
Fuzzy Ahp ◽  
Distribution Networks ◽  
Multi Criteria Decision Making ◽  
Gas Reservoirs ◽  
Process Gas ◽  
Selection For ◽  
Natural Gas Reservoirs

Fuel consumption has significantly increased due to the growth of the population. A solution to address this problem is the underground storage of natural gas. The first step to reach this goal is to select suitable places for the storage. In this study, site selection for the underground natural gas reservoirs has been performed using a multi-criteria decision-making in a GIS environment. The “Ordered Weighted Average” (OWA) operator is one of the multi-criteria decision-making methods for ranking the criteria and consideration of uncertainty in the interaction among the criteria. In this paper, Fuzzy AHP_OWA (FAHP_OWA) is used to determine optimal sites for the underground natural gas reservoirs. Fuzzy AHP_OWA considers the decision maker’s risk taking and risk aversion during the decision-making process. Gas consumption rate, temperature, distance from main transportation network, distance from gas production centers, population density and distance from gas distribution networks are the criteria used in this research. Results show that the northeast and west of Iran and the areas around Tehran (Tehran and Alborz Provinces) have a higher attraction for constructing a natural gas reservoir. The performance of the used method was also evaluated. This evaluation was performed using the location of the existing natural gas reservoirs in the country and the site selection maps for each of the quantifiers. It is verified that the method used in this study is capable of modeling different decision-making strategies used by the decision maker with about 88 percent of agreement between the modeling and test data.

Site selection of nursing homes based on interval type-2 fuzzy AHP, CRITIC and improved TOPSIS methods

2021 ◽  
pp. 1-16
Author(s):  
Huaige Zhang ◽  
Xuyang Bai ◽  
Xianpei Hong
Keyword(s):  
Decision Making ◽  
Nursing Homes ◽  
Site Selection ◽  
Fuzzy Ahp ◽  
Multicriteria Decision Making ◽  
Integrated Approach ◽  
Multicriteria Decision ◽  
The Difference ◽  
Interval Type ◽  
Selection Of

With the rise in the global aging population, selecting sites for nursing homes for old-age care has become critical and challenging. The site selection of a nursing home can be considered as a multicriteria decision-making. Because of the increasing complexity and uncertainty of the socioeconomic environment, standard assessments cannot handle this multicriteria decision-making. Therefore, this study provides a multi-criteria decision-making method based on Interval 2 Fuzzy Sets (IT2FS). It obtains comprehensive weights through the AHP method and the CRITIC method. Compared with the traditional TOPSIS, the improved TOPSIS method reduces the difference between the evaluation results. This method is suitable for the site selection of nursing homes in a certain area. We use the data of nursing homes to show the application of these methods. By comparing with traditional methods, we find that the integrated approach can consider more uncertainties.

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