Figure 3 - available via license: Creative Commons Attribution 4.0 International
Content may be subject to copyright.
Source publication
Sustainable waste management, particularly in industrial areas, is one of the major challenges of developing countries. Among the important issues in the overall process of industrial wastes management is the necessity of suitable site selection for waste disposal. Considering the effects that the disposal sites exert on their surrounding ecosystem...
Context in source publication
Citations
... Within the literature, there have been some MCDM studies focusing on industrial zones. These studies address various decision problems, such as the location selection of industrial zones (Mokhtarian and Hadi-Vencheh, 2012;Boutkhoum et al., 2015;Ramya and Devadas, 2019;Salari et al., 2019;Ahmed et al., 2020;Al-Rawabdeh et al., 2021;Aliverdilou et al., 2021;Chumaidiyah et al., 2023), evaluation of the development of industrial zones (Liu et al., 2018), industrial parks selection (Zhao et al., 2017;Moghimi et al., 2022), efficiency analysis (Dursun et al., 2019) and landfill site selection for industrial zones (Yildirim et al., 2018;Yousefi et al., 2018). However, research specifically examining the clustering of economic activities in industrial zones based on different economic development areas is limited. ...
Organized industrial zones (OIZs) are specialized areas where industrial activities are concentrated, and various economic activities take place collectively. Within OIZs, diverse economic activities coexist, forming shared industrial spaces. However, different regions tend to cluster different economic activities within OIZs. Given the significance of determining suitable economic activities for OIZs, developing a model for this decision problem, and testing its practical applicability is crucial. This research presents a multi-criteria decision-making approach to develop an economic activity selection model for OIZs. This model is based on type-2 neutrosophic numbers (T2NNs). Furthermore, two T2NNs aggregation operators, namely T2NN Schweizer-Sklar weighted arithmetic mean and T2NN Schweizer-Sklar weighted geometric mean aggregation operators, are developed based on the Schweizer-Sklar operations for use in determining decision-maker weights and ranking economic activities. The T2NN-based criteria importance through intercriteria correlation (CRITIC) method is employed for criterion weighting. An algorithm specific to the proposed model is devised for ranking economic activities. As a case study, this algorithm is applied to the Artvin-Arhavi OIZ, which is in the process of establishment in Turkey. Sensitivity and comparative analyses are conducted to assess the robustness of the developed aggregation operators and the model. In the case study findings, the most significant criterion is identified as investment risk, and forestry, logging, and related service activities are determined as the best economic activity. This research contributes to the field by introducing the model and novel aggregation operator for the selection of economic activities in OIZs.
... Consequently, the inclusion of a greater number of decision-making criteria results in increased problem complexity. One structured approach for addressing complex problems is via the utilization of Multi-Criteria Decision Making (MCDM), wherein criteria are assigned weights to each variable, thereby facilitating the evaluation of different alternatives [21]. ...
The efficient selection of a perfect site for the development of an industrial site in spatial planning should consider the land condition and environmental factors to minimize the impacts and risks. This paper aimed to create a model to assess if an area that can be used for the development of an industrial site meets multiple criteria. The new method in this research integrates the GIS and AHP approaches into a web-based geographic information system application that is used to easily support widespread assessment and mapping. The assessment of the development potential of industrial areas in West Java Province showed that 77% of the land was appropriate for industrial sites, whereas the other 33% was less suitable for use as an industrial site location. The assessment of 23 industrial site development location points in the Industrial Site Spatial Plan of West Java Province showed that 14 locations were in the highly suitable category (P1) and 9 other locations were in the suitable category (P2).
... On the other hand, Boolean logic exhibited less accuracy than fuzzy logic in selecting ideal landfill sites for MSW in the case study. Numerous other studies utilized GIS and MCDM to choose landfill sites in different regions, such as the Pondicherry region in India (Sumathi, 2008), Shiraz city (Pasalari et al., 2019) and Salafchegan (Yousefi et al., 2018) in Iran, the West Mediterranean Region (Dereli & Tercan, 2021) and DOKAP Region (Yildirim et al., 2018) in Turkey, and Islamabad in Pakistan (Zarin et al., 2021). Several studies worldwide have employed the integration of GIS software and the AHP approach to guide the selection of optimal MSW landfill sites. ...
... Landfill sites should be situated at a sufficient distance from power lines to shield them from potential damage (Moeinaddini et al., 2010). In the current study, a buffer zone, spanning 300 m in width (Yousefi et al., 2018), was established between the landfill area and the power lines, as shown in Fig. 5H and Table 6. ...
... Chabuk et al. (2017);Chabuk et al. (2019) Minimum 500 m away from railways Distance to power linesAlkaradaghi et al. (2019) Minimum 30 m away from power linesYousefi et al. (2018) Minimum200m away from power lines Distance to villages Bosompem et al. (2016) Minimum 0.5 km and maximum 2 km away from villages Alkaradaghi et al. (2019); Chabuk et al. (2019) Minimum 1 km away from villages Soil type Alanbari et al. (2014); Chabuk et al. (2019) Silt clay is highly suitable for landfill Elevation Chabuk et al. (2019) Between 11 and 34 m (a.m.s.l.) Ali et al. (2021)Between 10 and 28 m (a.m.s.l.) Depth to groundwaterDelgado et al. (2008);Chabuk et al. al. (2019) The greatest value of groundwater depth received the highest possible rating, and the smallest value (the shallowest) received the lowest possible ...
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.
... In this research, we provide a holistic approach to address transportation route selection issues in the waste transportation sector by combining AHP and DEA techniques. In fact, transportation route selection challenges require optimizing multiple goals including minimizing costs [52], maximizing efficiency scores [53], decreasing the environmental impacts of the ranked routes [54], and minimizing emissions [55]. In this context, AHP is used to rank the possible routes based on sustainable characteristics involving societal, financial, and environmental. ...
... In this context, previous researchers have studied the effectiveness of various public transportation systems, including cars, buses, trains, light rail, and innovative mobility solu-tions like ride-sharing and bike-sharing programs [61]. Many researchers have investigated the economic and environmental benefits and challenges associated with different transportation techniques and solutions [53]. MCDM techniques have been extensively applied to address transportation planning challenges and find optimal solutions that consider multiple criteria and objectives. ...
Given the growing global emphasis on sustainable transportation systems, this research presents a comprehensive approach to achieving economic, social, and environmental efficiency in transport within the waste management sector. To address the different challenges of sustainable transportation issues, this paper presents a hybrid multi-criteria decision-making (MCDM) approach that incorporates the analytic hierarchy process (AHP) along with data envelopment analysis (DEA) for sustainable route selection. By leveraging the strengths of both methods, this approach reconciles conflicting requirements and diverse perspectives, facilitating effective decision making. This paper involves identifying relevant criteria for route evaluation, engaging waste management company experts and stakeholders in pairwise comparisons using AHP. Furthermore, DEA is used to calculate route efficiency based on the inputs and outputs of the system. These evaluations enable the identification of the most effective and sustainable routes. This proposed methodology empowers decision makers and transportation policymakers to develop an effective decision-making tool for addressing waste transportation challenges in developing countries. The study contributes to the growing body of research on sustainable waste management practices and provides insights for waste management companies and decision makers on how to optimize waste transportation routes while reducing economic, social, and environmental impacts.
... It can be also noted that, in the majority of cases (31 papers), the MCDA had been applied in a multi-methodological framework. GIS [65][66][67][68][69] GIS + Simple Multi-Attribute Rating Technique (SMART) [41] GIS + priority scale [70] Entropy method [71] F-TOPSIS [72] Index of geoaccumulation (Igeo) [73] LCA [7,11,14,40,74] Uncertainty Measurement Evaluation (UME) [75] Fuzzy AHP - [76] Remote sensing + GIS [77] ANP - [78] PESTEL analysis + Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA) [79] Fuzzy ANP - [80] COCOSO Integrated Determination of Objective Criteria Weights (IDOCRIW) [81] COPRAS Intuitionistic fuzzy sets (IFSs) + SWARA [17] ELECTRE - [82,83] CBA [29] GRA - [84] MAVT - [85,86] MCGESA - [48] MFSC - [49] MILP - [87] GIS [88] PAPRIKA - [15] PROMETHEE GAIA analysis [89] SWARA - [43] TOPSIS - [90] LCA [91] System Dynamics Model (SDM) + cost-benefit-risk tradeoff analysis [92] VIKOR - [93] Weighted sum method - [13,31,94] Unspecified MCDA - [95] Artificial Neural Network (ANN) + GIS [96] Pearson correlation coefficients + Montecarlo analysis [35] Strategic Environmental Assessment (SEA) + GIS [27] 3. ...
Agriculture is a major contributor to global anthropogenic emissions, such as waste production and greenhouse gases. In order to reduce these negative impacts, a circular economy should be applied to agriculture waste management. Processes for evaluating treatment and valorization options are fundamental to the implementation of long-term, economically viable, ecologically sound, and socially acceptable policies and practices. In this field, multi-criteria decision analysis methods (MCDAs) can offer a holistic perspective on the decision-making processes. This study deeply explores this area of research by conducting an extensive and critical review of the studies that have used MCDA approaches to support agricultural waste management. The aim is to better understand how MCDA methods have been applied (in an integrated manner or as complementary approaches) and how stakeholders have been involved. The research conducted underlines how MCDAs are now widely used to support decision-making in this area, as well as being increasingly applied in multi-methodologies. This study is part of an ongoing Next-Generation-EU-integrated, large-scale, multi-disciplinary research program, The National Research Centre for Agricultural Technologies.
... MCDM is used in many fields, including airports, which is used to derive the selected criteria weights. The analytic hierarchy process (AHP) is one of the most common tools in MCDM [4] which was proposed by Saaty [5], which is a highly effective tool for tackling the complex decisionmaking processes that include many options and alternatives [6], its work is based on the pairwise comparison matrix system and is a powerful and easy tool for qualitative and quantitative analysis of multi-criteria problems [7], it also provides a unique advantage as the expert can check the consistency of weights by checking the consistency ratio (CR) in pairwise comparisons instead of using the direct selection method for weights. Many studies have used the AHP method with GIS to evaluate the weights of the criteria in determining the appropriate sites [8][9][10][11][12][13][14][15]. ...
This article discusses in a simplified manner how to use the multiple functions of the Geographic Information System (GIS) to support the engineering decision for vital and important sites that require the decision-maker to have a high degree of certainty, such as the decision related to choosing the best location for the airport among several sites. This paper aims to provide a practical model that allows for a decision support system on how to adopt a GIS software by both its part Arc-Map and Arc-Catalog combined with analytic hierarchy process (AHP) method to make strategic decisions by spatial and non-spatial analysis to choose the appropriate site for the project as those related to choosing an airport location. Nineteenth criteria were considered to analyze the study area which is represented by three governorates of the middle Euphrates region in Iraq, Babil, Kerbala, and AL-Najaf. Finally, the research presented a practical and efficient approach for the decision maker to select the appropriate location for the airport based on the value of the highest suitability index.
... But, they have in common steep slope areas are geologically unstable and have possessed runoff, erosion, and flooding. Due to the difficulty in site development such as excavation, road construction, maintenances and terms of leachate flow during rainfall, they are economically unviable as a waste disposal location (Yousefi et al., 2018, Şener et al., 2010, Şener and SüzenDoyuran, 2006, Effat and Hegazy, 2012, Karimi et al., 2019. ...
Selecting a properly identified waste disposal site is the most complex and difficult task due to the social,
environmental, technical, economic, and legal factors, and important point for the abruptly expanded industries
and increased population. Waste management system is the challenging order and has posed infinite problems in
environmental science and human health.
The leftover materials that have been released from the industries and daily human life activities should be
appropriately collected, transferred, transported, and finally dumped into the properly selected waste disposal
site. Waste management greatly helps to keep the environment healthy and significantly reduces risks caused by
improperly dumped waste materials. The present study was intended to investigate suitable waste disposal site in
Dejen town applying GIS and AHP techniques of multicriteria decision making by considering the ten main
influencing factors (distance from the settlement, the road network and the stream, land use, geology, geo�morphology, slope, wind speed and direction, lineament density and elevation). Based on the researchers’ expert
and over-viewing of previous studies, the subjectively defined controlling parameters were hierarchically
formulated in the matrix and changed into numerical values to obtain the relative impotency of each feature for
the preparation of the suitability modeling map.
7.9, 46.4, 6.5, 22.2 and 17% of the study area is highly suitable, suitable, moderately suitable, less suitable and
unsuitable for waste disposal site selection respectively. As a result, environmentally sound, feasible and
acceptable waste disposal site map was generated using ArcGIS software based on the relative weights of the
controlling factors.
... Since the settlements in the research area are frequently dispersed, it has been powerful in determining the unsuitable places in the analysis. While the unsuitable fields are from 200 to 1000 m (Karkazi et al. 2001;Sadek et al. 2006;Despotakis and Economopoulos 2007;Küçükönder and Karabulut 2007;Sumathi et al. 2008;Gorsevski et al. 2012;Kara and Doratli 2012;Yousefi et al. 2018;Adewumi et al. 2019), the suitable fields are from 800 m to 10,000 m in the literature (Karkazi et al. 2001;Küçükönder and Karabulut 2007;Sumathi et al. 2008;Gorsevski et al. 2012;Yousefi et al. 2018;Stemn and Kumi-Boateng 2019;Adewumi et al. 2019;Lunkapis). In some studies, it has been reported that the distance to the settlements varies depending on whether the settlement is a city or a village (Melo et al. 2006;Hafezi Moghaddas and Hajizadeh Namaghi 2011). ...
... Since the settlements in the research area are frequently dispersed, it has been powerful in determining the unsuitable places in the analysis. While the unsuitable fields are from 200 to 1000 m (Karkazi et al. 2001;Sadek et al. 2006;Despotakis and Economopoulos 2007;Küçükönder and Karabulut 2007;Sumathi et al. 2008;Gorsevski et al. 2012;Kara and Doratli 2012;Yousefi et al. 2018;Adewumi et al. 2019), the suitable fields are from 800 m to 10,000 m in the literature (Karkazi et al. 2001;Küçükönder and Karabulut 2007;Sumathi et al. 2008;Gorsevski et al. 2012;Yousefi et al. 2018;Stemn and Kumi-Boateng 2019;Adewumi et al. 2019;Lunkapis). In some studies, it has been reported that the distance to the settlements varies depending on whether the settlement is a city or a village (Melo et al. 2006;Hafezi Moghaddas and Hajizadeh Namaghi 2011). ...
The importance of landfill site selection has grown rapidly in recent years. New and various analytical techniques have been developed due to previous researches. Along with breakthroughs in information systems technology, computer-assisted work designs, and analytical techniques have come to the forefront. The aim of this study is to identify the best locations to serve as a landfill site across the provincial territory of Uşak, Turkey, with the use of modern technologies through a specific method, Fuzzy Logic. As the data analysis method, the current study utilizes fuzzy logic which has become common in recent years. The criteria set out in this study were digitalized through the design of base maps. Geographic information system was used for the formation of fuzzy membership values and fuzzy overlay procedures. The data used in socio-economic and physical criteria, prevalent in the literature, for fuzzy logic include roads, rivers, airports, settlements, faults and landslides, slope, geology, soil, land use capability, and land use. The results show that the faults, landslides, and airports were not very effective in determining the optimal sites in the research area, since they do not occupy many areas. However, the slope, geological structure, rivers, settlements, and road system have been the fundamental determinant in the analysis due to the wide areas it covers as a major achievement of the study, suitable and unsuitable locations to landfill were identified and mapped. These analyses indicate that the most optimal locations to serve as a landfill site are mostly located in the southwestern part of the Uşak province.
... 16 Yousefi et al. have recently investigated the optimal and proper disposal sites in the Salafchegan special economic zone using the Analytical Hierarchy Process (AHP) and an index overlay model. 17 Moreover, Arabsheibani et al., proposed in 2016 an integration of hybrid multi-criteria decision-making (MCDM) theories and Geographical Information System process to assess the suitability of an industrial parks location. 18 Also, Cauba & Coniato have selected multi-Criteria Decision-Making Approach (MCDMA) and the Geographic Information System techniques to identify the most suitable locations for economic zones. ...
This paper aims to present the analysis results on the feasibility and assessment of Special Economic Zone (SEZ) implementation across the seven Federal States of Somalia. Specifically, the research leads to defining the most important criteria used to evaluate different locations to establish SEZs, understanding the priorities and perceptions of different groups of stakeholders. Moreover, it allows quantitatively assess States’ conditions to reduce the risk of wasted investment or unsuccessful development. Finally, it ranks alternatives based on the stakeholder perspectives and territorial realities. The analysis is based on a multi-criteria decision-making methodology, specifically on the Analytic Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution. On a national basis, the most relevant criteria, in the view of stakeholders, are the availability of a skilled workforce. The “economic prosperity” and “financial investments and external aid” are the most critical gaps commonly perceived in all the States. The most applicable State to locate a Special Economic Zone is Banadir Regional Administration, which is perceived to be relatively better off concerning Environmental Conditions, Workforce Skills, Finance and External Aid, and Government Policies and Security. Moreover, the discrepancy between Banadir Regional Administration, but also Somaliland, and the other States is alarming, showing that the more advanced States are the ones that have a higher level of security, population, and also more reliable infrastructure. This information is vital for government and policymakers to support less developed countries' economic and social growth.
... For instance, AHP multi-criteria evaluation used to evaluate numerous criteria and simplify the criteria and make spatial decision (Alkaradaghi et al. 2019;Chabuk et al. 2016Chabuk et al. , 2017Chabuk et al. , 2019Dar et al. 2018;Effat and Hegazy 2012;Kamdar et al. 2019). The WLC method also used for landfill site identification (Al-Ansari et al. 2012;Higgs 2006;Khorsandi et al. 2019;Malczewski 2004;Soroudi et al. 2018;Yousefi et al. 2018). ...
... The WLC is a family of multi-criteria aggregation procedures and it has the concept of fuzzy set theory. It is a type of multi-criteria evaluation method in a GIS environment that is used to evaluate the suitable areas for landfill site location (Khorsandi et al. 2019;Yousefi et al. 2018). The WLC technique characterized by full trade-off among all criteria and average risks and is more flexible than the Boolean methods in the decision-making process. ...
Solid waste management is a serious problem in most cities of the world due to rapid urban expansion and it causes increasing solid waste generation. The practice of solid waste management in Robe town was very poor and it is one of the chronic problems of the town. Therefore, the town needs a suitable landfill site to properly manage solid wastes and mitigate its impacts on public health and environment. The purpose of the study is to identify suitable landfill sites in Robe town, Ethiopia, that is socially and environmentally acceptable, and economically feasible by applying geographic information system and multi-criteria decision analysis and evaluation techniques. This study was based on factor criteria thematic layers of land-use and land-cover types, groundwater depth, lineament, soil permeability, river, water pipelines, slope, main and secondary roads, and constraints thematic maps of boreholes, built-up areas, and green areas. The analytical hierarchy process pair-wise comparison model was used to compute the weight of criteria. The weighted linear combination model was also used to combine different criteria weight and produce a suitable landfill site map. Landfill site suitability map was prepared by overlaying different criteria and suitability ranks were assigned as unsuitable, low suitable, moderately suitable, highly suitable and very highly suitable. The result of the study shows that 41.02 km2 (651.12%) of the area was unsuitable, 16.27 km2 (20.28%) was low suitable, 10.53 km2 (13.12%) was moderately suitable, 7.54 km2 (9.40%) was highly suitable and 4.88 km2 (6.08) was very highly suitable. From highly and very highly suitable sites, 7 candidate landfill sites were selected and evaluated in terms of area of the site, distance to nearby boreholes, built-up areas, green areas and distance from the center of the town to choose the most suitable site. According to the result of the study, landfill site 6 was the most suitable followed by landfill site 5 while landfill site 2 was the least suitable. The result also shows that selected suitable sites are expected to be friendly to the environment and the societies. Therefore, to have a sound environment and improve public safety, the town should need a landfill site and implement integrated solid waste management.
