AHP with GIS for a Preliminary Site Selection of Wind Turbines in the North West of Jordan

Al‐Shabeeb, Abdel Rahman; Al‐Adamat, Rida; Mashagbah, Atef F. Al

doi:10.4236/ijg.2016.710090

Cited by 33 publications

(9 citation statements)

References 25 publications

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“…For example, a hybrid method combining interpretive structural modeling (ISM), fuzzy analytic network process and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) was used to select the best site for a photovoltaic solar plant (Lee et al , 2017). Eight papers incorporated the geographical information system (GIS) into their decision support systems for site selection (Algarni and Awasthi, 2017; Al-Shabeeb et al , 2016; Gigović et al , 2017; Guptha et al , 2015; Noorollahi et al , 2016; Sánchez-Lozano et al , 2016; Vasileiou et al , 2017; Villacreses et al , 2017).…”

Section: Resultsmentioning

confidence: 99%

A systematic review of the applications of multi-criteria decision-making methods in site selection problems

Yap

Ting

2019

BEPAM

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Purpose The purpose of this paper is to perform a systematic review on the application of different multi-criteria decision-making (MCDM) methods in solving the site selection problem across multiple problem domains. The domains are energy generation, logistics, public services and retail facilities. This study aims to answer the following research questions: Which evaluating criteria were used for each site selection problem domain? Which MCDM methods were frequently applied in a particular site selection problem domain? Design/methodology/approach The goals of the systematic review were to identify the evaluating criteria as well as the MCDM method used for each problem domain. A total of 81 recent papers (2014–2018) including 32 papers published in conference proceedings and 49 journal articles from various databases including IEEE Xplore, PubMed, Springer, Taylor and Francis as well as ScienceDirect were evaluated. Findings This study has shown that site selection for energy generation facilities is the most active site selection problem domain, and that the analytic hierarchy process (AHP) method is the most commonly used MCDM method for site selection. For energy generation, the criteria which were most used were geographical elements, land use, cost and environmental impact. For logistics, frequently used criteria were geographical elements and distance, while for public services population density, supply and demand, geographical layout and cost were the criteria most used. Criteria useful for retail facilities were the size (space) of the store, demographics of the site, the site characteristics and rental of the site (cost). Research limitations/implications This study is limited to reviewing papers which were published in the years 2014–2018 only, and only covers the domains of energy generation, logistics, public services and retail facilities. Practical implications MCDM is a viable tool to be used for solving the site selection problem across the domains of energy generation, logistics, public services and retail facilities. The usage of MCDM continues to be relevant as a complement to machine learning, even as data originating from embedded IoT devices in built environments becomes increasingly Big Data like. Originality/value Previous systematic review studies for MDCM and built environments have either focused on studying the MCDM techniques itself, or have focused on the application of MCDM for site selection in a single problem domain. In this study, a critical review of MCDM techniques used for site selection as well as the critical criteria used during the MCDM process of site selection was performed on four different built environment domains.

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Section: Resultsmentioning

confidence: 99%

A systematic review of the applications of multi-criteria decision-making methods in site selection problems

Yap

Ting

2019

BEPAM

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“…AHP is based on the principle that decision maker's experience and knowledge are as important as the available data. Various studies have applied this method 36‐38 . The current methodology is based on the construction of a hierarchical model to implement the problem, which allows pairwise comparisons, that are based on a fundamental comparison scale introduced by Saaty 24 and it is shown in Table 2.…”

Section: Methodsmentioning

confidence: 99%

Multi‐criteria analysis and Geographic Information Systems methods for wind turbine siting in a North Aegean island

Bertsiou

Theochari

Baltas

2020

Energy Science & Engineering

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The need for energy independence of small remoted islands, promote the exploration of renewable energy sources. Greek islands have rich wind potential and subsequently, the attention is being drawn to the use of wind turbines to meet their energy needs. However, the optimal location of wind turbines installation is the basis for the exploitation of high wind potential in combination with the current legislation framework. This paper presents a combined use of Multi‐Criteria Decision‐Making (MCDM) and Geographic Information Systems (GIS) for the evaluation of eligible sites for wind turbine installation in North Aegean island, in Greece. Criteria weights are estimated for three scenarios using the Analytic Hierarchy Process (AHP) for the illustration of the impact on the final design. The minimum distance from the main settlement of the island constitutes an extra constraint for the investigation of the capability of installing wind farms with the lowest possible energy losses due to power transmission via cables. In all scenarios, the prohibited zone corresponds to 27.9% of the total area of the island. Also, sites with high wind potential can be combined with lower altitudes and can give even more suitable locations for installation, reducing, thus, the installation cost. Economic‐oriented scenario appears to combine both low cost and larger surface area for installation. A sensitivity analysis is performed, for determining the impact of the criteria on the suitability of a site. It seems that new suitability maps are affected greater by the type of the chosen criterion rather than the weight.

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“…Moreover, a procedure through which an index of consistency, known as a CR, was produced. The CR indicates the probability that the matrix judgments were generated randomly [99]. Spatial Analyst Tools ArcGIS 10.7 software was used to reclassify each cell of the final map into five categories and values assigned ranging from 1 to 5, representing very low to very high in the LSM.…”

Section: Landslide Susceptibility Assessmentmentioning

confidence: 99%

Evaluation of the Effect of Hydroseeded Vegetation for Slope Reinforcement

Emeka

Nahazanan

Kalantar

et al. 2021

Land

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A landslide is a significant environmental hazard that results in an enormous loss of lives and properties. Studies have revealed that rainfall, soil characteristics, and human errors, such as deforestation, are the leading causes of landslides, reducing soil water infiltration and increasing the water runoff of a slope. This paper introduces vegetation establishment as a low-cost, practical measure for slope reinforcement through the ground cover and the root of the vegetation. This study reveals the level of complexity of the terrain with regards to the evaluation of high and low stability areas and has produced a landslide susceptibility map. For this purpose, 12 conditioning factors, namely slope, aspect, elevation, curvature, hill shade, stream power index (SPI), topographic wetness index (TWI), terrain roughness index (TRI), distances to roads, distance to lakes, distance to trees, and build-up, were used through the analytic hierarchy process (AHP) model to produce landslide susceptibility map. Receiver operating characteristics (ROC) was used for validation of the results. The area under the curve (AUC) values obtained from the ROC method for the AHP model was 0.865. Four seed samples, namely ryegrass, rye corn, signal grass, and couch, were hydroseeded to determine the vegetation root and ground cover’s effectiveness on stabilization and reinforcement on a high-risk susceptible 65° slope between August and December 2020. The observed monthly vegetation root of couch grass gave the most acceptable result. With a spreading and creeping vegetation ground cover characteristic, ryegrass showed the most acceptable monthly result for vegetation ground cover effectiveness. The findings suggest that the selection of couch species over other species is justified based on landslide control benefits.

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AHP with GIS for a Preliminary Site Selection of Wind Turbines in the North West of Jordan

Cited by 33 publications

References 25 publications

A systematic review of the applications of multi-criteria decision-making methods in site selection problems

A systematic review of the applications of multi-criteria decision-making methods in site selection problems

Multi‐criteria analysis and Geographic Information Systems methods for wind turbine siting in a North Aegean island

Evaluation of the Effect of Hydroseeded Vegetation for Slope Reinforcement

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