Alternative suitable landfill site selection using analytic hierarchy process and geographic information systems: a case study in Istanbul

Güler, Doğuş; Yomralıoğlu, Tahsin

doi:10.1007/s12665-017-7039-1

Cited by 65 publications

(38 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Also, all raster-based spatial analyses are carried out by using 30 m x 30 m cell resolution. This resolution is determined according to both previous works and large scale study extent (Güler and Yomralıoğlu 2017). The next step in the workflow is to compose the pairwise comparison matrices of AHP and FAHP in order to get the weight of each criterion.…”

Section: Methodsmentioning

confidence: 99%

Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS

Güler

Yomralıoğlu

2020

Annals of GIS

Self Cite

View full text Add to dashboard Cite

Electric vehicles arouse interest since they not only contribute economies of countries in the context of dependency to oil but also support to more livable and sustainable urban areas. The location selection of electric vehicle charging stations is one of the most vital topics in order to enhance the use of electric vehicles. In this sense, the aim of this paper is to propose an approach that integrates Geographic Information System (GIS) techniques and Multi-Criteria Decision Making (MCDM) methods for finding suitable locations of the electric vehicle charging stations. In this regard, the Analytic Hierarchy Process (AHP) and the Fuzzy Analytic Hierarchy Process (FAHP) methods are used to calculate the weights of criteria. While the two different weights for each criterion are obtained by means of AHP in terms of environmental impact and accessibility, another weight for each criterion is obtained as a means of applying the FAHP. The intersection of three different suitability indexes is determined so as to achieve a holistic, credible result. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to rank the alternative locations. The results show that the proposed approach offers a notable solution to be selected suitable charging station locations. Moreover, policymakers and administrators could benefit from these results in order to make efficient decisions for forward planning and strategies.

show abstract

Section: Methodsmentioning

confidence: 99%

Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS

Güler

Yomralıoğlu

2020

Annals of GIS

Self Cite

View full text Add to dashboard Cite

show abstract

“…Higher the ground water level, it was least considerable. Permeability of the strata above the aquifers determines the percolation properties (Guler et al, 2017). Soil permeability: Properties of the strata such as depth of overburden and type of soil determine the permeability of the strata to leachate released from the landfill.…”

Section: Fmentioning

confidence: 99%

“…Landfill sites must be located near to an existing road as sitting of a landfill site in an area not serviced by the existing road network will incur an additional cost for the construction of a new road linking the landfill with the existing network. Hence landfill location must be close to road network for ease of transportation and consequently to reduce the cost (Sener et al, 2004;Guiqinet et al, 2009;Sener et al, 2011;Hejal and Monereh, 2013;Pradhan and Samanta, 2015;Rahmat et al, 2016;Samiullah et al, 2016;Guler, 2017). For same layer Euclidean distance were generated in GIS domain among which lowest distance from road was considered as a most suitable, hence reclassified 1 (0-1137 m) field in distance from roads was given as highest scale value 9which is given in Table 3, (Fig.…”

Section: Fmentioning

confidence: 99%

GIS based modeling using Analytic Hierarchy Process (AHP) for optimization of landfill site selection of Rohtak city, Haryana (India)

Deswal

Laura

2018

JANS

View full text Add to dashboard Cite

Landfills are the most common method for the disposal of municipal solid waste the world over, as well as in India due to their low technical and economic requirements. The selection of an appropriate site for the establishment of a landfill is a complex process because it must combine social, environmental and technical parameters. The scientific selection of landfill site is based on several diverse criteria (Land Use and Land Cover, ground water table depth, soil permeability, surface water, roads distance, slop etc) and regulations. The study presents the selection of a site for the establishment of a landfill based on several criteria using geographic information system (GIS) based site suitability modeling and analytical hierarchy process (AHP). Site suitability modeling was implemented using Boolean and Index overlay models. Each criterion and sub criteria was evaluated with the aid of AHP to assign a relative weightage in the index overlay model. Rules and criteria's set by Central Pollution Control Board (CPCB) and Central Public Health and Environmental Engineering Organisation (CPHEEO) were implemented through Boolean model. The combination of the results of the two models generated a map with several suitable sites. Further selection was done on basis of the size requirement of the site, to handle Municipal solid waste (MSW) for next ten years. Two sites having the maximum suitability and also fulfilling the size requirement were shortlisted. Final selection from the two sites was done by a field survey of the sites. Finally the site B was selected on the basis of field survey which revealed it being better on account of certain factors discussed and social acceptability.

show abstract

“…Risk decision-making is uncertain because risks are themselves uncertain and dynamic [9,10]. The analytic hierarchy process (AHP) is a widely used quantitative and qualitative analysis method suitable for situations in which the results of decisions are difficult to measure directly and accurately (Table 1) [11][12][13][14]. However, the variables used in the AHP method are not always easily acquired.…”

Section: Introductionmentioning

confidence: 99%

Real‐Time Warning and Risk Assessment of Tailings Dam Disaster Status Based on Dynamic Hierarchy‐Grey Relation Analysis

et al. 2019

Complexity

View full text Add to dashboard Cite

The consequences of tailings dam breaks are disastrous; although various factors can often result in tailings dam damage, the main cause is poor management. To reduce human supervision errors and ensure that real-time early warnings alerts are sent for any risks, 22 evaluation indexes that affect dam breaks were set up based on inherent and frequency risk. To efficiently predict an early dam break signal for a tailings dam, 12 key evaluation indexes of a dynamic early warning system were screened and a comprehensive consideration of the risk trend was undertaken. The current and future states of the 12 indexes were analyzed based on a borda count and dynamic analytic hierarchy process (AHP) methods and early warning grades for tailings dam damage were evaluated using the dynamic grey relation analysis method. The dynamic AHP method, which avoids the tedious testing and risks of static early warning states, was compared to the traditional method. This research provides a useful basis upon which mining enterprises can select reasonable and effective prediction indexes for risk assessment, fully implement and promote intelligent management of major risks, and conduct accurate and authentic supervision at all levels.

show abstract

Alternative suitable landfill site selection using analytic hierarchy process and geographic information systems: a case study in Istanbul

Cited by 65 publications

References 53 publications

Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS

Suitable location selection for the electric vehicle fast charging station with AHP and fuzzy AHP methods using GIS

GIS based modeling using Analytic Hierarchy Process (AHP) for optimization of landfill site selection of Rohtak city, Haryana (India)

Real‐Time Warning and Risk Assessment of Tailings Dam Disaster Status Based on Dynamic Hierarchy‐Grey Relation Analysis

Contact Info

Product

Resources

About