Sürdürülebilir Kalkınma Amaçları
Yayınlar
- Kitap BölümüYalnız künye2026Current Trends and Future Perspectives for Post-Disaster Assembly Areas
Polat, Elifcan Göçmen; Polat, Erkan
Disasters bring about significant material damage and social disruptions, affecting entire communities or specific groups. These events can halt daily life and human activities, often exceeding the handling capacity of the affected population. For effective disaster management, all stages-including prevention, mitigation, preparation, response, and recovery must be spatially planned. The identification of post-disaster assembly areas is critically important for minimizing loss of life and property. This study examines theoretical and practical research on assembly areas from the literature. In determining suitable assembly areas, factors such as population density, accessibility, proximity to hazard sources, land type, and access to essential services and methods as Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) provide valuable framework for addressing assembly area selection challenges. Findings from the literature indicate that the assembly areas should be reassessed in the context of evolving needs and regulatory requirements.
- MakaleYayıncıda açık erişim2025Scopus SJRQ4The role and challenges of clean energy technologies and embedded critical raw materials in the energy sustainability
Polat, Elifcan Göçmen; Polat, Erkan
Given the increasing pattern of sustainability challenges such as climate change, carbon footprint, biodiversity loss and its sensitivity to energy policies, developing a holistic perspective is essential to enhance the further integration of energy sustainability into environmental issues. As the green transition to energy sustainability, it requires mineral-intensive energy technologies. Mineral requirements are expected to increase at unprecedented rates and could bring about the supply risks. One of the fundamental strategies is including the critical raw materials (CRMs) as variables in the energy sustainability, as the dependencies on CRMs for clean energy technologies. To address the issues related to energy sustainability and raw materials, Hesitant Fuzzy AHP (HF-AHP) is used to assess the clean energy technologies related to raw materials with the simultaneous consideration of economic, environmental, technological, and social pillars of sustainability perspective. The results are compared with the Best-Worst Method (BWM) to validate the obtained solutions. Computational results reveal that technological and environmental metrics are evaluated as the most critical dimensions. Mineral intensity as a technological metric and emissions as an environmental dimension are the most important sub criteria to evaluate the energy technologies. In Türkiye, while the hydraulic energy has the highest share due to its installed capacity and accessibility, solar panels and wind turbines hold high promise to combat climate change, obtained results also address the EVs and battery storage technologies. Ultimately, this enables all stakeholders to understand that involving of raw materials into energy sustainability could guide the compatibility policies between raw materials and sustainability energy models.
- MakaleAçık Erişim2025Municipal Solid Waste Landfill Site Selection: Integrating Multi-Criteria Decision-Making Methods and Mathematical Modelling-A Case Study
Derse, Onur; Polat, Elifcan Göçmen
Increasing solid waste amount arisen from the urbanization and population growth is an inevitable outcome in many countries. Solid waste has become one of the serious environmental problems and peculiar solid waste pathways are required to prevent contamination of environment. The optimal planning of the waste management should comprise the operations such as minimization, collection, landfilling and recycling of the waste. Also, location selection for landfill of municipal solid waste (MSW) is an effective step even essential, due to growing area shortage for waste disposal. In this respect, landfilling of MSW has been addressed in Tunceli, Turkey using an integrated approach. The Fuzzy Analytical Hierarchy Process (Fuzzy-AHP), a multi-criteria decision-making (MCDM) method, is utilized to decide the weights of the environmental, technical, economic, and social criteria regarding uncertainty. Then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is conducted to rank the alternative landfill districts. Finally, the sub locations of selected district are mathematical modelled regarding transport cost, investment cost and demand with an integer linear programming model. The computational results indicate the proposed method effectiveness with a systematic approach by integrating MCDM and mathematical modelling.
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İncele - MakaleAçık Erişim2025Scopus SJRQ4EVALUATION OF IMPLEMENTATION STRATEGIES IN THE CONTEXT OF ZERO-WASTE CITY AND CIRCULAR ECONOMY CONCEPT
Derse, Onur; Polat, Elifcan Göçmen
In recent years, there is a growing interest for waste systems in many countries around the world due to inevitable consequences of major environmental concerns. Urbanization, consumption styles, rapid developments of technologies have increased the consumption inevitably brings about the waste generation, which significantly poses risks to the environment. Although most papers have focused on waste management problems, there is a great gap of evaluation of implementation strategies for the zero-waste city and circular economy concepts. The goal “zero-waste” is strategically achieved with enriched engineering methods including all stakeholders to overcome the challenging waste issues. In this context, this study presents a systematic approach of implementing the policies and strategies focused on the most essential dimensions analysis associated with zero-waste and circular economy based on the PESTEL (political, economic, social, technological, environmental, and legal). In the study, Best-Worst Method (BWM) is first provided to evaluate a range of zero-waste implementation strategies which are essential for planners and policymakers. In addition, computational results are compared with the Stepwise Weight Assessment Ratio Analysis (SWARA), and the Fuzzy Analytical Hierarchy Process (F-AHP) methods to validate the results, and the results of the methods were found to be consistent. Environmental, economic and technological dimensions were obtained as the most influential strategies. According to the results of BWM and Fuzzy AHP methods, the four most important sub-strategies are S16 (Implementing a closed loop chain), S13 (Promoting sustainability), S5 (Investing in waste management infrastructure) and S12 (Green energy technologies). It is seen that these strategies are mostly environmental. According to the SWARA method, the most important sub-strategies under the economic dimension are S5, S4 (Providing economic incentives), and S6 (Development of green finance initiatives). The findings should also encourage the practitioners and researchers, as the detailed evaluation of strategies in terms of the zero-waste and circular economy provides a database to transform current cities into zero waste cities.
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İncele - MakaleYalnız künye2024Scopus SJRQ1Predicting and optimizing maximum flexural strength of planar composite plate shear walls – concrete filled with the application of LR and RSM
Polat, Erkan; Polat, Elifcan Göçmen
Traditional theoretical models, while conservative, overlook the complex, nonlinear interactions between material and geometric parameters that influence wall flexural strength. Additionally, the extent to which these models maintain their conservative assumptions across varying parameters remains uncertain. This study aims to develop advanced predictive models for the flexural strength of planar composite plate shear walls—concrete filled (C-PSW/CF) by employing Linear Regression (LR) and Response Surface Methodology (RSM). Central Composite Design (CCD) was utilized to design numerical experiments to analyze the effects of varying parameters, including steel plate yield strength, concrete compressive strength, wall depth, depth-to-thickness ratio, and reinforcement ratio. A validated complex finite element modeling (FEM) procedure was used to analyze numerical experiments involving varying parameters of the selected variables. Both LR and RSM were applied to the generated dataset to formulate predictive equations for the maximum moment capacity of walls. Interaction plots were developed to reveal the nonlinear relationships between the variables and identify the most effective parameters influencing the wall strength. Comparisons between theoretical predictions, RSM, and LR models revealed that RSM provided the most accurate predictions, closely aligning with FEM results and effectively capturing the nonlinear interactions between wall parameters. The findings of this paper contribute to the development of more practical, accurate and optimized design methods for C-PSW/CF, ultimately improving both structural safety and efficiency.
AtıfScopus10WoS8OpenAlex10İncele - MakaleAçık Erişim2021Scopus SJRQ3A MCDM Based on Goal Programming and GIS-Based Risk Assessment for the Evaluation of Educational Locations in Conflict Areas
Hallak, Jamil; Polat, Elifcan Göçmen
Conflict is recognized as a major barrier in socio-economic development. In conflict situations, most sectors such as health, food, shelter and education are adversely affected. The provision of education services to conflict-affected children saves them from becoming a lost generation and contributes to community building. Thus, we conducted this research to investigate the potential of a GIS (Geographic Information Systems) approach and risk assessment based multi-criteria decision making (MCDM) for the allocation of displaced dropped-out children to the most appropriate educational centres, taking into account multiple goals related to cost, distance, risk, etc. A two-stage approach was adopted, utilizing a risk assessment approach, and a location-allocation approach. The risk assessment approach was carried out using GIS and F-AHP (Fuzzy Analytic Hierarchy Process) to determine the risk value of each candidate educational centre in the conflict area. In the location-allocation stage, a mathematical model was developed to allocate all demands to the chosen centres. All presented methods were computationally conducted on real case data provided by direct beneficiaries and stakeholders in the 26 sub-districts in the Idleb governorate, Syria. The computational results demonstrate that the proposed approaches ensure practical and theoretical impacts.
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