Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kaya, Sema Kayapinar(3)
- Özçiçek, Esin(2)
- Akkurt, Nevzat(1)
- Austin, Brian(1)
- Aydin, Sevinc(1)
- Cahyadi, Mokhamad Nur(1)
- Can, Erkan(1)
- Can, Safak Seyhaneyildiz(1)
- Cane, Erkan(1)
- Cihangir, Salih(1)
- Erginel, Nihal(1)
- Erol, Nida Demirtaş(1)
- Gul, Muhammet(1)
- Görçün, Ömer Faruk(1)
- Gülmez, Nihan(1)
- Harun, Zambri(1)
- Hashim, Hashimah(1)
- Kayapinar Kaya, Sema(1)
- Kundu, Pradip(1)
- Mete, Suleyman(1)
- Molla, Altaf Hossain(1)
- Ozdemir, Yasal(1)
- Polat, Elifcan Göçmen(1)
- Polat, Erkan(1)
- Turhan, Erkan(1)
- Utku, Anil(1)
- Yilmaz, Kadir(1)
- Yucesan, Melih(1)
- Zuhal, Lavi R.(1)
- Özceylan, Eren(1)
- Özkan, Barış(1)
Yayınlar
- MakaleYalnız künye2026Scopus SJRQ1From trash to technology: Ai-driven waste classification with hybrid CNN-transformer approach for sustainable recycling
Utku, Anil
The increasing amount of waste globally requires more efficient recycling processes and increases the importance of intelligent, automatic classification systems. Since traditional waste separation methods are time-consuming and have high error rates, artificial intelligence-based solutions have great potential in this area. In this study, the effectiveness of deep learning-based waste classification models was investigated, and nine different waste types were classified using DenseNet121, EfficientNetB0, ResNet50, ViT, DenseNet121-ViT, EfficientNetB0-ViT, ResNet50-ViT. Experimental results show that hybrid CNN-ViT models achieved the highest accuracy rates. Mainly, the EfficientNetB0-ViT model exhibited the best performance with a 95% accuracy rate and made a balanced classification for all waste types. The model can optimize recycling processes by ensuring the correct separation of wastes and contribute to environmental sustainability by reducing misclassification. Artificial intelligence-supported waste management systems offer an effective solution in critical areas such as reducing greenhouse gas emissions, saving energy, and supporting environmentally friendly urban planning. The findings of this study reveal that deep learning-based artificial intelligence models are an important tool for sustainable environmental management.
AtıfScopus1WoS1OpenAlex3
İncele - MakaleYalnız künye2026Scopus SJRQ1Electrochemically assisted leaching of rare earth carbonates in non-aqueous green solvents: Solvent design, characterization, and process optimization
Cihangir, Salih
This study presents a systematic approach to the design, characterization, and application of non-aqueous green solvents (NAGSs) for the leaching of rare earth carbonate hydrates (RECHs). Four NAGSs based on choline chloride, ethylene glycol, and various carboxylic acids were synthesized and evaluated for their physicochemical and electrochemical properties. Among the evaluated formulations, the choline chloride–ethylene glycol–Na₂EDTA·2H₂O mixture (N1) and the chloride–levulinic acid mixture (N2) were found were found suitable for both traditional and electrochemically assisted leaching due to their optimal viscosity, conductivity, and electrochemical stability. Electrochemical assistance significantly enhanced leaching efficiency, with improvements ranging from 22 % to over 300 % for certain elements compared to conventional methods. Mechanistic investigations revealed that the application of an oxidative potential facilitates the protonation and dissolution of RECHs, likely through the generation of localized acidic environments and the formation of intermediate species. The FTIR analysis confirmed the dissolution of carbonate phases and the formation of rare earth–ligand complexes, particularly in the N1 system, where new bands associated with carboxylate and amine coordination were observed. Importantly, the proposed electrochemically assisted method can be applied to different primary or secondary sources in both aqueous and non-aqueous solutions. The results demonstrate the advantages of combining non-aqueous green solvents with electrochemical assistance as an environmentally benign alternative to conventional acid-based leaching, especially for challenging carbonate forms of rare earth elements. This work provides important guidelines for the development of sustainable hydrometallurgical processes, with future directions including solvent recyclability, selective recovery, and environmental assessment.
AtıfScopus2WoS2İncele - 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 Erişim2025Scopus SJRQ2Farm-Raised Versus Wild Caught Fish: Which is Better?
Can, Erkan; Özçiçek, Esin; Erol, Nida Demirtaş; Austin, Brian
There has been much discussion about which is better, farmed (= aquaculture) or wild-caught fish (= capture-fisheries), with supporters and opponents of both approaches. On balance, aquaculture should be the better option because of the ability to control all aspects of production. The result is that farmed products are often cheaper than wild-caught equivalents. However, there are negative aspects to aquaculture, including habitat destruction, for example the removal of mangroves for the construction of shrimp farms, the effect of escapees on native fish populations, and the possible negative impact of pollution from organic material, pathogens and antimicrobial compounds. The use of wild-caught “trash” fish as a source of protein and oil for the diets of carnivorous fish species in aquaculture is unsustainable. In contrast with wild-caught fish, there is greater variability in supply because of overfishing, quotas imposed by governments, and the effects of adverse weather. Moreover, fishing in distant waters is expensive and hazardous. Certainly, the quality of the product is more difficult to control because the history of the catch is largely unknown. However, there are concerns about illegal fishing activities, and the capture of undersized specimens which impacts negatively on future stocking levels. For the forseeable future, there will be roles for both aquaculture and capture-fisheries to meet the increasing global demand for aquatic food.
AtıfScopus5WoS5OpenAlex5İncele - Kitap BölümüYalnız künye2024Effect of ecosystems and agricultural practices on Physalis peruviana phytochemicals
Aydin, Sevinc
As a result of the gradual decrease in natural resources and the increase in chronic diseases caused by unhealthy nutrition, the inclination among consumers toward food products that are both biologically active and beneficial, and environmentally friendly, is increasing. Therefore, environmental factors and agricultural practices that affect the amount of biologically active ingredients in these products have gained importance and become the subject of numerous scientific studies. Goldenberry (Physalis peruviana) is a yearly plant that is grown in mild climates, and it is a plant that is first planted in seed trays for primary development and then in the field for fruit production. Both its leaves, trunk, and roots have medicinal properties and its fruit is rich in components such as vitamins A and C, iron and phosphorus, flavonoid, and carotenoid which have made this plant, and particularly its fruit, more attractive. The amount and biological effect of these components, which are known as secondary metabolites, vary depending on the soil and the climate where this plant is grown and agricultural practices. With this compilation study, our aim is to summarize the studies that examined the positive or negative effects of environmental conditions that affect goldenberry cultivation and agricultural practices applied to increase the yield of the bioactive phytochemical ingredients of this plant, and thus to provide insight for relevant studies to be conducted.
AtıfScopus6OpenAlex5İncele - BildiriYalnız künye2024Assessing Environmental Pollution and Noise Levels at End-of-Life Vehicle Recycling Centers: A Comparative Study
Harun, Zambri; Akkurt, Nevzat; Hashim, Hashimah; Molla, Altaf Hossain; Cahyadi, Mokhamad Nur; Zuhal, Lavi R.
This study investigates the environmental impact of end-of-life vehicle (EL V) recycling operations by assessing pollution parameters and noise levels at formal and informal recycling centers compared to a green zone reference area. U sing an integrated monitoring system. This research measured concentrations of particulate matter (PM2.5, PMlO), nitrogen dioxide (N02), carbon dioxide (C02), ozone (03), and noise levels at selected sites in Selangor, Malaysia. Results reveal elevated pollutant concentrations and noise levels at both formal and informal EL V recycling centers relative to the green zone reference area. Diurnal variations in pollutant levels highlight the influence of operational activities and atmospheric conditions. The findings underscore the need for stringent regulatory measures and pollution control strategies to mitigate environmental and health risks associated with EL V recycling activities and promote sustainable practices in the recycling industry.
AtıfScopus2OpenAlex2İncele - MakaleYalnız künye2024Scopus SJRQ1Evaluating sustainability of urban mobility of Asian cities: An integrated approach of interval type-2 fuzzy best-worst method and MULTIMOORA
Yucesan, Melih; Özkan, Barış; Mete, Suleyman; Gul, Muhammet; Özceylan, Eren
The motivation for sustainable urban mobility is driven by the need to create environmentally friendly, socially inclusive, economically viable, and healthier cities for current and future generations. It requires a comprehensive approach that combines infrastructure development, policy changes, behavioral shifts, and technological advancements to transform urban transportation systems. The importance of creating increasingly sustainable urban transportation is now greater than it has ever been. One of the attempts in this field is the sustainable urban transport index (SUTI) developed by the United Nations (UN). Although the SUTI has a comprehensive pool of criteria for the evaluation of mobility sustainability of cities, considering the criteria weights as equal and disregarding the uncertainties present in expert opinions is viewed as a significant drawback. To satisfy the aforementioned deficiency, a novel integrated approach including the best-worst method (BWM), multi-objective optimization by ratio analysis (MOORA) and MOORA plus full multiplicative form (MULTIMOORA) method is develloped and applied for the SUTI evaluation. In order to manage ambiguous linguistic approximations, the utilization of BWM is applied within the framework of interval type-2 fuzzy (IT2F) sets. While IT2F-BWM is used to prioritize the main and sub-indicators of SUTI, MULTIMOORA approach is applied to rank the Asian cities. The findings imply that the proposed approach not only provides a more scientific perspective but also provides the opportunity to perform sensitivity analysis on criteria weights. Therefore, the results obtained in this study are expected to help cities to create a road map for planning sustainable urban mobility (e.g. Sustainable Urban Mobility Plan).
AtıfScopus23OpenAlex26İncele - MakaleYalnız künye2023Scopus SJRQ1Evaluation of container port sustainability using WASPAS technique using on type-2 neutrosophic fuzzy numbers
Kaya, Sema Kayapinar; Kundu, Pradip; Görçün, Ömer Faruk
According to the common opinion in the literature, the sustainability of container ports is a tremendously complex topic owing to the maritime sector's excessively dynamic form and many highly complex, predictable and unpredictable uncertainties in this industry. The current paper proposes two powerful, practical, inspiring approaches to fill these gaps. It proposes a novel type-2 neutrosophic fuzzy numbers (T2NFNs) based Delphi method to determine the criteria logically and optimal and extends the WASPAS technique based on the T2NFNs for evaluating the alternatives. The current paper presents practical managerial implications that many stakeholders can consider, such as port authorities, ship owners, logistics service providers, governments, and local authorities, when making strategic and managerial decisions. In addition, the results of a comprehensive sensitivity analysis performed to test the robustness and applicability of the model approve the validity of the proposed T2NFN-based integrated approach.
AtıfScopus20WoS16OpenAlex24
İncele - MakaleYalnız künye2022Scopus SJRQ1Experimental and material characterization of composites, including waste iron and marble powder
Gülmez, Nihan
Due to its fine particle size, waste marble slurry originating in cutting and processing units mixes into the air after drying, causing environmental and health problems in nearby areas. On the other hand, large amounts of iron particles are generated as metalworking industry waste, affecting the environmental system. In this study, 0%, 10%, and 20% marble powder (instead of cement) and iron particles (instead of fine aggregate) were used in mixtures, and the composites produced were subjected to two different curing periods: 7 and 28 days. The physical, mechanical, microstructural, and thermal properties of the fresh and hardened composites were ascertained via bulk density, consistency, porosity, water absorption, capillary water absorption, strength tests, particle size distribution, X-ray diffraction (XRF), X-ray fluorescence (XRF), scanning electron microscopy and energy dispersive spectroscopy (SEM–EDS), and thermogravimetric analyses (TGA). The results revealed that minimum water absorption (8.5%) and porosity (19.8%) values were achieved in 28-day composites produced with 10% marble–20% iron wastes among all composites. Thus, iron particles substituted for natural aggregates were mainly responsible for the increase in mechanical performance. A maximum flexural strength of 5.9 MPa and a compressive strength of 26.7 MPa were observed in 28-day composites containing 0% marble–20% iron wastes. Furthermore, capillary water absorption tended to decrease with the substitution of 10% marble powder.
AtıfScopus3WoS2İncele - MakaleYalnız künye2020Scopus SJRQ1A scale to measure sustainable campus services in higher education: “Sustainable Service Quality”
Ozdemir, Yasal; Kaya, Sema Kayapinar; Turhan, Erkan
This study aims to develop a measuring tool which can address two independent research areas in the literature: Sustainability in higher education and service quality in higher education. Both subjects are studied independently in the literature, showing a need for an integrated approach that bridges these areas. For achieving this purpose, a new scale was developed based on a questionnaire applied to two universities in Turkey. The scale aimed to measure the perceptions of the students regarding the quality of sustainable campus services. The questionnaire consisted of 22 questions on several aspects of campus services which are related to sustainability. A total of 234 samples were used for Exploratory Factor Analysis for determining the underlying structures in the data set. The scale was validated with satisfactory Kaiser-Meyer Olkin and Bartlett's test results. Five dimensions were extracted, which represent sustainable service quality. After validation, the scale was applied to two universities located in geographically and socio-economically different regions of Turkey. The term chosen for the proposed combined scale is Sustainable Service Quality (SusServQual). With additional data, t-tests were applied to 308 students aiming to compare the two universities based on perceived quality scores. The results show that the university located in the socio-economically more developed region performed better regarding the overall satisfaction score and four of the five dimensions. The scores were also weighted utilizing a modified method of Analytical Hierarchy Process. Instead of crisp numbers which forces the decision maker to think in mathematical terms while comparing criteria, linguistic terms, each of which corresponds to a fuzzy number were used. Thus, a more accurate evaluation was obtained where the decision maker's subjectivity and ambiguity of the situation are important.
AtıfScopus62WoS50OpenAlex77İncele - MakaleYalnız künye2020Scopus SJRQ1Futuristic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment
Kayapinar Kaya, Sema; Erginel, Nihal
The interest of researchers and airport authorities towards sustainable airports is increasing day by day. Futuristic airport designs will be innovative in achieving sustainable development practices such as clean and affordable energy, protection of natural resources, waste reduction, natural features and green space around an airport, sustainable transportation system, natural storm water management of airports, etc. In classical Quality Function Deployment, crisp numbers are used to determine the priorities of the passenger requirements, design requirements, and their relationship matrix to evaluate airport quality. However, vagueness and impreciseness are inevitable uncertainties in those kinds of human judgments, which are generally realized by linguistic terms, and traditional Quality Function Deployment is not associated with “sustainability.” The main contribution of this paper is to present a new approach that integrates Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis and Hesitant Fuzzy Sustainable Quality Function Deployment method to enhance the sustainable airport quality. Hesitant fuzzy set theory reflects the hesitancy in human nature while making a decision to the fuzzy numbers, compared to other fuzzy set theories, such as traditional fuzzy sets, type-2 fuzzy sets, etc. In this study, the importance degrees of sustainable passenger requirements were evaluated by considering Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis in the first stage of Hesitant Fuzzy Sustainable Quality Function Deployment method. Then sustainable design requirement was prioritized to develop the sustainable quality management of the airport. Finally, a case study concerning the sustainable development of the airport was used to elucidate the feasibility and rationality of the proposed framework. The results obtained from the case study showed that Hesitant Fuzzy Sustainable Quality Function Deployment could be a practical and structural methodology in the early planning stage of a sustainable airport design.
AtıfScopus68WoS54OpenAlex74İncele - MakaleAçık Erişim2020Evaluation of the effect of COVID-19 on countries' sustainable development level: A comparative MCDM framework
Kaya, Sema Kayapinar
The extent of the outbreak of coronavirus disease (COVID-19) had a major impact on health, social life, economic and environmental activities in almost every country over the world. It has disrupted the sustainable development of countries and brought many uncertainties for their future capabilities. In this study, the effects of the COVID-19 on OECD countries' sustainable development were investigated, and the sustainable development performance of the countries was evaluated by the MultiAttributive Ideal-Real Comparative Analysis (MAIRCA) method. Data for the second quarter of 2020 and the same quarter of the previous year is considered. Then, the results obtained by the MAIRCA method were compared with two different multi-criteria decision-making (MCDM) methods called MABAC (Multi‐Attributive Border Approximation Area Comparison) and WASPAS (Weighted Aggregated Sum Product Assessment). The effectiveness and validity of the results obtained from these methods were tested with Spearman's correlation coefficient. Finally, to examine the effect of COVID-19 on the indicators of sustainable development, a non-parametric Wilcoxon signed-rank test was applied. As a result, it was concluded that COVID-19 negatively affected the sustainable development of countries. However, sustainable development performances of developed countries have been observed to be better than developing countries.
AtıfScopus49OpenAlex56İncele - Derleme MakaleAçık Erişim2017Usage of microalgae as a sustainable food source in aquaculture
Özçiçek, Esin; Cane, Erkan; Yilmaz, Kadir; Can, Safak Seyhaneyildiz
The need for food sources more reliability according to animal products has increased interest especially in plants and in algae. In aquaculture has benefited significantly from microalgae in the various application areas. They are used as food as well as are evaluated as sources of pigments in the salmonids. Currently, studies are underway to examine the cost-effectiveness of microalgae production systems which can be obtained by large-scale and advanced quality control. In order to ensure sustainability in the use of microalgae; a systems based approach is needed which integrates different fields such as biotechnology, bioprocess and management procedures.
AtıfWoS4OpenAlex1İncele