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Kuhaneswaran B, Chamanee G, Kumara BTGS. A comprehensive review on the integration of geographic information systems and artificial intelligence for landfill site selection: A systematic mapping perspective. WASTE MANAGEMENT & RESEARCH : THE JOURNAL OF THE INTERNATIONAL SOLID WASTES AND PUBLIC CLEANSING ASSOCIATION, ISWA 2024:734242X241237100. [PMID: 38651362 DOI: 10.1177/0734242x241237100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
Properly selecting landfill sites for waste disposal is crucial for mitigating environmental and public health risks. Geographic Information Systems (GISs) and Artificial Intelligence (AI) techniques have emerged as valuable tools for identifying suitable landfill locations. This study presents a systematic mapping study (SMS) that investigates the usage of GIS and AI in landfill site selection. We searched six databases (IEEE Xplore, ACM Digital Library, Science Direct, Emerald Insight, Taylor & Francis Online and Web of Science) using predefined keywords related to landfills, GIS and AI. From 858 initially retrieved articles, we selected 48 relevant articles for in-depth analysis. Our research aimed to answer various questions, such as publication trends, the geographic distribution of case studies, criteria for assessing landfill suitability, tools and techniques employed, preliminary site screening methods, decision-making processes, limitations and future research directions. We used bubble charts, bar charts and tables to visualize the results. The findings of our study highlight the growing interest in using GIS and AI for landfill site selection and emphasize the importance of incorporating multi-criteria decision-making techniques. Furthermore, the results reveal the need for developing more advanced AI models, addressing the limitations of current approaches and exploring novel visualization techniques for enhancing landfill site selection processes. This study provides valuable insights for researchers and practitioners in waste management, environmental science and geoinformatics. It sets the groundwork for future research on improving GIS- and AI-based landfill site selection methodologies.
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Affiliation(s)
- Banujan Kuhaneswaran
- Department of Computing & Information Systems, Faculty of Computing, Sabaragamuwa University of Sri Lanka, Belihuloya, Sri Lanka
| | - Gayathri Chamanee
- Department of Natural Resources, Faculty of Applied Sciences, Sabaragamuwa University of Sri Lanka, Belihuloya, Sri Lanka
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Armanuos AM, Elgaafary KA, Gado TA. Landfill site selection using MCDM methods and GIS in the central part of the Nile Delta, Egypt. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:1407. [PMID: 37917338 PMCID: PMC10622390 DOI: 10.1007/s10661-023-11946-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 10/05/2023] [Indexed: 11/04/2023]
Abstract
One of the most prevalent and serious issues afflicting developing countries is the lack of adequate space for waste disposal. Al-Gharbia Governorate, located in the middle of the Nile Delta in Egypt, suffers from random selection of sites for solid waste disposal, resulting in significant environmental challenges. The aim of this study is to determine optimal landfill locations within Al-Gharbia Governorate and validate the existing landfill sites. Four techniques of multi-criteria decision-making (MCDM) were applied to generate suitability maps for the Governorate: the analytical hierarchy procedure (AHP), ratio scale weighting (RSW), straight rank sum (SRS), and Boolean method. Eleven effective criteria were considered: groundwater, surface water, elevation, slope, soils, land use, roads, railways, urban areas, villages, and power lines. The suitability maps were categorized into four different classes: suitable, moderately suitable, low suitable, and unsuitable. The latest suitability map was determined by combining the results from the different methods, providing decision-makers with the means to select the optimal landfill site. The suitable zone encompasses a small area (3%), predominantly located in the northeast region (Al-Mahalla), central region (Tanta), and northern region (Kotour). Conversely, the unsuitable area covers a substantial portion (72.7%) due to the agricultural nature of the governorate, high population density, and elevated groundwater levels. Furthermore, all existing landfill sites fall within unsuitable or low suitable areas, inflicting severe impacts on the nearby environment, public health, and groundwater integrity.
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Affiliation(s)
- Asaad M Armanuos
- Department of Irrigation and Hydraulics Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt.
| | - Khaled A Elgaafary
- Department of Irrigation and Hydraulics Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt
| | - Tamer A Gado
- Department of Irrigation and Hydraulics Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt
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Sambiani K, Lare Y, Zanguina A, Narra S. Location-allocation combining fuzzy analytical hierarchy process for waste to energy facilities siting in developing urban areas: The case study of Lomé, Togo. Heliyon 2023; 9:e19767. [PMID: 37810125 PMCID: PMC10559066 DOI: 10.1016/j.heliyon.2023.e19767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 10/10/2023] Open
Abstract
Waste facilities siting is one of the complex problems encountered by decision makers of waste management in urban developing areas. Waste to Energy (WtE) facilities siting alongside transfer stations involves a Multi-Criteria Decision Analysis (MCDA) and has leveraged waste value chain. However, the process requires to consider the interlinked fields of environment, socio-cultural and economic/technical factors as Geographical Information Systems (GIS) in a context of lack of knowledge and expertise. This study aims to propose a framework of WtE facilities siting through a GIS-based Fuzzy Analytical Hierarchy Process (FAHP) and location-allocation method in Lomé's case study in Togo. This method was applied with boolean logic and fuzzy overlay operators, to assess the potential sites and optimize their selection through a location-allocation solver considering transfer stations and road networks under ArcGIS. Moreover, WtE technologies were attributed to sites based on the territorial aspect. As result, 30.70% of the study area was excluded and three potential areas with a minimum value of 3.47 km2 comprised between 0.81% and 1.01% of the study area, and have been obtained with an acceptable consistency ratio of 0.09. The potential sites are more influenced by slope and residence criteria under economic/technical and socio-cultural factors, with 29.13% and 19.84% of weight respectively. Therefore, through the location-allocation method two optimized sites are obtained and assigned to transfer stations; the first suitable site close to industrial area is appropriate for the gasifier which consequently classified ahead of the anaerobic digester that is suitable for the second suitable site close to agricultural area. As result, prioritizing WtE technologies and site selection should take into account territory aspect, waste sources as well other environmental, socio-cultural and economic/technical factors. This approach has demonstrated its robustness and serves as a stepwise tool for decision makers in WtE facilities siting in developing urban areas.
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Affiliation(s)
- Kanlanféi Sambiani
- West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL), University of Abdou Moumouni, Niamey, Niger
| | - Yendoubé Lare
- Department of Physics, University of Lomé, Lomé, Togo
| | - Adamou Zanguina
- Department of Chemistry, University of Abdou Moumouni, Niamey, Niger
| | - Satyanarayana Narra
- West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL), University of Lomé, Lomé, Togo
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Abdo HG, Aljohani THD, Almohamad H, Al-Dughairi AA, Al-Mutiry M. Sanitary municipal landfill site selection by integration of GIS and multi-criteria techniques for environmental sustainability in Safita area, Tartous governorate, Syria. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:30834-30854. [PMID: 36441303 DOI: 10.1007/s11356-022-24287-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
Urban waste disposal is a problem that poses a major challenge to city planners as a result of rapid population growth and urbanization. Finding suitable sites for solid waste is one of the most important solutions developed globally to manage this problem. In this regard, a set of physical, socio-economic and technological criteria must be considered to tackle the problem. Safita area (Tartous governorate) witnessed a rapid population growth during the decade of the war in Syria due to the onrush of internal refugees, which resulted in several environmental problems, including random waste dumps. After perusing the previous literature and considering expert opinions, a map of the spatial suitability of sustainable waste sites in the Safita area was developed by integrating the multi-criteria decision- making methodology (analytic hierarchy process) with the geographic information system. Thirteen criteria, including elevation, slope, permeability, distance to faults, distance to settlement, land use/land cover, distance to drainage, distance to water supplies, distance to lakes, distance to road, distance from tourist centers, distance from archaeological centers, and distance from religious centers, were used to achieve the goal of this study. The layer maps for these criteria were developed based on various data sources, including conventional and remote sensing data. Potential landfill sites were identified and divided into five categories: unsuitable (83.28%), less suitable (8.49%), moderately suitable (4.49%), highly suitable (2.57%), and very highly suitable (0.72%). The results of this study provide reliable spatial outputs that will help in suggesting new landfill sites that maintain environmental and socio-economic sustainability in the post-war phase. Moreover, the application of the methodology of this study can be generalized to the rest of the regions in Syria within the framework of the integrated management of the problem of random landfills.
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Affiliation(s)
- Hazem Ghassan Abdo
- Geography Department, Faculty of Arts and Humanities, Tartous University, Tartous, Syria.
- Geography Department, Faculty of Arts and Humanities, Damascus University, Damascus, Syria.
- Geography Department, Faculty of Arts and Humanities, Tishreen University, Lattakia, Syria.
| | | | - Hussein Almohamad
- Department of Geography, College of Arabic Language and Social Studies, Qassim University, Buraydah, 51452, Saudi Arabia
| | - Ahmed Abdullah Al-Dughairi
- Department of Geography, College of Arabic Language and Social Studies, Qassim University, Buraydah, 51452, Saudi Arabia
| | - Motrih Al-Mutiry
- Department of Geography, College of Arts, Princess Nourah Bint Abdulrahman University, Riyadh, 11671, Saudi Arabia
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Dynamic routing for efficient waste collection in resource constrained societies. Sci Rep 2023; 13:2365. [PMID: 36759701 PMCID: PMC9911784 DOI: 10.1038/s41598-023-29593-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 02/07/2023] [Indexed: 02/11/2023] Open
Abstract
Waste collection in developing nations faces multi-fold challenges, such as resource constraints and real-time changes in waste values, while finding the optimal routes. This paper attempts to address these challenges by modeling real-time waste values in smart bins and Collection Vehicles (CV). Further, waste value prioritized routes for coordinated CV, during various time intervals are modeled in a multi-agent environment for finding good routes. The CV, as agents, implement the formulated linear program to maximize the collected waste while minimizing the distance to the central depot. The city of Chandigarh, India, was divided into regions and the model was implemented to achieve significantly better performance in terms of waste collected in less distance and total bins covered when compared to the existing scenario. The stakeholders can use the outcomes to effectively plan the resources for better collection practices, which will have a positive impact on the environment.
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Biru Debalke D, Endalew Admas T. Solid waste dumping site analysis using GIS and remote sensing: Bonga Town, Southwestern Ethiopia. WASTE MANAGEMENT & RESEARCH : THE JOURNAL OF THE INTERNATIONAL SOLID WASTES AND PUBLIC CLEANSING ASSOCIATION, ISWA 2022; 40:953-968. [PMID: 34802354 DOI: 10.1177/0734242x211060608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The main objective of this study was to select potential solid waste landfill areas suitable for Bonga Town that are environmentally sound. The key data were LANDSAT 8 and SPOT-6 satellite images with a spatial resolution of 15 and 1.5 m, respectively; a digital elevation model with a spatial resolution of 30 m; and a ground control point, which was collected through a ground point survey and a topographic map of the study area. Each parameter was subjected to a peer review according to the analytical hierarchy process. Once the weights were established, the weighted overlap analysis was determined, which combined these criteria and classified them into high, medium, less suitable and inappropriate regions of the study area. The results show that 75.65% of the study area is not suitable for the solid waste landfill, 18.86% less suitable, 5.17% moderately adequate and 0.3% very adequate. Therefore, the ability to use inaccessible geological information framework and detection innovations for mandatory discrimination evidence for a reasonably robust waste dump will minimise opportunities and natural human well-being problems.
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Affiliation(s)
- Dereje Biru Debalke
- Department of Geography and Environmental Studies, College of Social Sciences, Bonga University, Bonga, Ethiopia
| | - Tesfahun Endalew Admas
- Department of Geography and Environmental Studies, College of Social Sciences and Humanities, Salale University, Fiche, Ethiopia
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Mohsin M, Ali SA, Shamim SK, Ahmad A. A GIS-based novel approach for suitable sanitary landfill site selection using integrated fuzzy analytic hierarchy process and machine learning algorithms. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:31511-31540. [PMID: 35001277 DOI: 10.1007/s11356-021-17961-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 12/01/2021] [Indexed: 06/14/2023]
Abstract
Disposal of waste without treatment is the least preferable way of sustainable solid waste management (SWM). But most cities in developing nations still use open dumps, causing negative impacts on the environment and human health. This study offered a novel approach for selecting landfill sites and sustainable SWM in Aligarh city, India. This was done through data collection, selecting models for criterion weighting, and validation. In order to prepare a landfill site suitability map, a geographic information system (GIS)-based ensemble fuzzy analytic hierarchy process-support vector machine (FAHP-SVM) and fuzzy analytic hierarchy process-random forest (FAHP-RF) models were implemented. Considering the previous studies and the study area characteristics, eighteen thematic layers were selected. The result revealed that land value; distance from residential roads, hospitals and clinics, and waste bins; and normalized difference built-up index (NDBI) have a fuzzy weight greater than 0.10, indicating significant factors. In contrast, land elevation, land slope, surface temperature, soil moisture index, normalized difference vegetation index (NDVI), and urban classification have a zero fuzzy weight, indicating these criteria have no importance. The result further revealed that FAHP-RF with an area under curve (AUC) value of 0.91 is the more accurate model than FAHP-SVM. According to the final weight-based overlay result, seven potential landfill sites were identified, out of which three were determined as most suitable by considering current land cover, public opinions, and environmental and economic concerns. This research proposed a zonal division model based on landfill sites location for sustainable SWM in Aligarh city. However, the findings may provide a guideline to the decision-makers and planners for optimal landfill site selection in other cities of developing countries.
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Affiliation(s)
- Mohd Mohsin
- Department of Civil Engineering, Zakir Husain College of Engineering, Faculty of Engineering and Technology, Aligarh Muslim University, Aligarh, U.P. 202002, India
| | - Sk Ajim Ali
- Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, U.P. 202002, India.
| | - Syed Kausar Shamim
- Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, U.P. 202002, India
| | - Ateeque Ahmad
- Department of Geography, Faculty of Science, Aligarh Muslim University, Aligarh, U.P. 202002, India
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Daneshfar MA, Ardjmand M. A new approach in the optimal site selection of landfills for drilling cuttings from petroleum and gas fields. CHEMOSPHERE 2021; 270:129402. [PMID: 33418221 DOI: 10.1016/j.chemosphere.2020.129402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/14/2020] [Accepted: 12/21/2020] [Indexed: 06/12/2023]
Abstract
Drilling cuttings contain dangerous elements to human life and other organisms. Different criteria are effective in increasing or decreasing the transmission of this pollution to the environment. By studying and reviewing the scientific sources, these criteria were identified and the type of causal relationships between these criteria was determined using the Fuzzy DEMATEL1 technique. Finally, the appropriate location of the landfill was determined by recognizing these criteria and their internal relationships. The results of this study showed that Slope criterion has the highest degree of effect and Distance from airport criterion has the lowest degree of effect. Distance from city centres criterion has the highest and Distance from airport criterion has the least degree of importance in choosing the appropriate location for drilling cuttings. Distance from city centres criterion has the highest and Geology criterion has the least net effect on selecting the appropriate location of drilling cuttings. Considering the effective criteria on the selection of drilling waste disposal site, the proposed landfills were introduced in 5 different classes from very good to very poor. Accordingly, part of the land located in the southern regions of Khark Island and the central regions of Lavan Island is desirable for the burial of drilling wastes. These areas are suitable due to their distance from urban centres, distance from the road, distance from the river, distance from the airport and other waste disposal factors.
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Affiliation(s)
- Mohamad Amin Daneshfar
- Department of Chemical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Mehdi Ardjmand
- Department of Chemical Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.
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Zarin R, Azmat M, Naqvi SR, Saddique Q, Ullah S. Landfill site selection by integrating fuzzy logic, AHP, and WLC method based on multi-criteria decision analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:19726-19741. [PMID: 33410005 DOI: 10.1007/s11356-020-11975-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 12/04/2020] [Indexed: 06/12/2023]
Abstract
Rapid population growth integrated with poor governance and urban planning is highly challenging resulting key for the selection of unsuitable landfill sites, particularly in developing counties. Therefore, the aim of this study is to investigate the suitable solid waste landfill sites in the capital of the country as a case study, by the integration of Geographical Information System (GIS) with fuzzy logic, analytical hierarchy process (AHP), and weighted linear combination (WLC) method based on multi-criteria decision-making (MCDM). We chose thirteen (13) criteria (9 factors and 4 constraints) and grouped them into two main categories (environmental and socioeconomic) to achieve the objectives. The AHP was employed to evaluate the relative importance of the factors followed by standardization of criteria factors based on fuzzy set theory. Subsequently, all criteria factors were combined based on AHP and fuzzy logic-WLC method in order to obtain land suitability map. Finally, the sites were identified by the intersection of two combined suitability index layers. The obtained results depicted that the integration of fuzzy logic, AHP, and WLC technique with GIS can produce satisfactory results for the suitable locations of solid waste landfill sites over complex topographic regions. Overall, the land suitability obtained based on fuzzy-WLC is more refined and smooth because of its better segregation and its potential to consider full tradeoff between factors and average risk. The AHP was identified (47 km2) as high suitable while fuzzy-WLC generated 36 km2 as suitable area. Finally, the intersection of both suitability index map shows numerous suitable landfill sites available in Islamabad city; however, the surface areas of the sites are small at individual level (less than 15 ha).
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Affiliation(s)
- Riaz Zarin
- School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad, Pakistan
| | - Muhammad Azmat
- School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad, Pakistan
| | - Salman Raza Naqvi
- School of Chemical & Materials Engineering (SCME), National University of Sciences and Technology (NUST), Islamabad, Pakistan.
| | - Qaisar Saddique
- Institute of Water Saving Agriculture in Arid Regions (IWSA), Northwest A&F University, Yangling, 712100, Shaanxi, China
- College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Saif Ullah
- Department of Geography, University of Peshawar, Peshawar, Pakistan
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Çalış Boyacı A, Şişman A, Sarıcaoğlu K. Site selection for waste vegetable oil and waste battery collection boxes: a GIS-based hybrid hesitant fuzzy decision-making approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:17431-17444. [PMID: 33398726 DOI: 10.1007/s11356-020-12080-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 12/14/2020] [Indexed: 06/12/2023]
Abstract
The amount of municipal solid waste (MSW) has been increasing rapidly in the urban centres of developing countries during the last few decades; however, municipal solid waste management (MSWM) remains inadequate. One of the largest aspects of cost of the MSWM system is the collection of waste. This paper describes a methodology that combines geographic information systems (GIS), hesitant fuzzy linguistic term set (HFLTS), and the full multiplicative form of multi-objective optimization by ratio analysis (MULTIMOORA), to determine suitable locations for waste collection boxes (named AYPIKUT), which have been designed specifically for collection of domestic waste vegetable oil and waste batteries. It takes as case study, Atakum, a district of Samsun city, Turkey. As a solution to the problem, first, a total of 88 items have been identified for consideration by seven criteria elicited from the insights of experts, and spatial analyses were performed. Multi-criteria HFLTS was then used to determine weights of the criteria. Population density was the most significant criterion affecting the selection process, and proximity to housing complexes with more than 150 dwellings was the least important. According to the weights of the seven criteria, and three rules determined by the experts, 15 AYPIKUT locations were identified using GIS. As a final step, the alternative locations (A1-A15) were ranked with the MULTIMOORA method. A5 was the most suitable site, and A6 was the least suitable site for an AYPIKUT. The results indicated the ability of the proposed model to select the suitable locations for waste collection box.
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Affiliation(s)
- Aslı Çalış Boyacı
- Department of Industrial Engineering, Ondokuz Mayıs University, 55139, Samsun, Turkey.
| | - Aziz Şişman
- Department of Geomatics Engineering, Ondokuz Mayıs University, 55139, Samsun, Turkey
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