Yazarlar

  • MakaleAçık Erişim2026
    Gümüşhane’nin Heyelan Duyarlılığının Makine Öğrenmesi Algoritmaları Kullanılarak Değerlendirilmesi

    Bostancı, Hasan Tahsin

    Gümüşhane, jeolojik yapısı, engebeli topografyası ve iklimsel özellikleri nedeniyle ülkemizde heyelan, kaya düşmesi ve çığ gibi kütle hareketlerinin sıkça yaşandığı illerden biridir. 2021 yılında hazırlanan il afet risk azaltma planında il genelinde meydana gelen doğal afetlerin %49’unu heyelanların oluşturduğu belirtilmiştir. Dolayısıyla bu çalışmada, makine öğrenmesi algoritmaları kullanılarak Gümüşhane’nin Merkez ilçesinin heyelan duyarlılık haritalarının üretilmesi amaçlanmıştır. Çalışmada makine öğrenmesi algoritmaları olarak lojistik regresyon (LR), yapay sinir ağları (ANN) ve destek vektör makineleri (SVM) tercih edilmiştir. Adı geçen algoritmalarla oluşturulan duyarlılık modellerinde; bakı, drenaj ağlarına uzaklık, yola uzaklık, yükseklik, arazi örtüsü, litoloji, plan eğriliği, profil eğriliği, eğim ve topografik nemlilik indeksi (TWI)’nden oluşan 10 faktör kullanılmıştır. Modellerin eğitim ve doğrulama aşamasında MTA Genel Müdürlüğünden temin edilen heyelan envanter haritası kullanılmıştır. LR, ANN ve SVM modellerinin performansı ROC eğrisi altında kalan alan (area under the ROC curve - AUC) metriği kullanılarak değerlendirilmiştir. LR, ANN ve SVM modellerinin AUC değerleri, sırasıyla, 0.784, 0.865 ve 0.888 olarak belirlenmiştir. Bu sonuçlar SVM modelinin diğer modellerden daha iyi performans gösterdiğini ortaya koymuştur. Ayrıca, çalışma alanında heyelanların meydana gelmesinde en etkili faktörlerin sırasıyla eğim, yükseklik, TWI ve yola yakınlık olduğu belirlenmiştir. 

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 13 · İklim Eylemi
  • MakaleYalnız künye2026
    Green Economy Practices in Selected Cities of the European Union: The Cases of Amsterdam, Freiburg, Copenhagen and Ljubljana

    Seyhan, Burak

    This study comparatively analyzes green economy practices in four leading EU member states: Amsterdam, Copenhagen, Freiburg, and Ljubljana. Urban green transition strategies through multi-level governance, policy instruments, citizen participation, circular economy practices, and sustainable infrastructure development. A qualitative multiple case study design was adopted for the analysis based on secondary data from municipal strategy documents, EU policy frameworks, academic literature, and reports by international organizations. The cities were selected using purposive sampling based on the following criteria: (i) EU membership; (ii) long-term green economy strategies; (iii) international recognition such as European Green Capital; and (iv) academic and institutional data availability. Data analysis was carried out by means of qualitative content analysis using a category-based coding framework. NVivo 14 was used for coding and thematic structuring. Key analytical categories included policy domains (e.g., energy, mobility, waste, green infrastructure), governance models (e.g., participatory, public-private), policy instruments (e.g., incentives regulatory tools), and performance metrics (e.g., emissions reductions waste diversion rates). Results indicated that the city has developed a distinct mix of green policies determined by its institutional capacity local resources and social context. For example: Amsterdam emphasizes circular economy and smart mobility; Copenhagen integrated infrastructure in line with carbon neutrality targets; Freiburg governance model centered on civic engagement; Ljubljana success in waste management plus planning for green spaces. SWOT analyses revealed the strengths and weaknesses of each city in terms of their green economy policies. The study underlines the importance of multi-layered and participatory governance frameworks, temporally and contextually sensitive policy instruments, as well as data-driven monitoring systems to align local green economy initiatives with broader EU strategies such as the European Green Deal or Sustainable Development Goals. Results provide both conceptual and practical contributions toward an ever-growing literature about sustainable urban policy plus governance within a European context.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 13 · İklim Eylemi
  • MakaleAçık Erişim2026
    Value Creation and Market Perception in the Construction Sector: Adjusted EVA and MVA Analysis

    Kalkan, Yusuf

    Purpose – This study aims to assess the financial performance of firms listed in Borsa Istanbul’s Construction and Public Works sector through the calculation of adjusted Economic Value Added (EVA) and Market Value Added (MVA). In this context, the association between the value created by these companies and their market values is examined. Design/methodology/approach – In the study, adjusted EVA and MVA values for the 2022–2024 period were calculated using the financial data of the relevant firms, and the relationships between these indicators and Market Value (MV) were tested through statistical analyses. Results – The results indicate that negative EVA values prevail across the sector, suggesting that most firms have been unable to cover their cost of capital. While a strong relationship was observed between MVA and Market Value (MV) in the first year, a negative and statistically significant relationship was found between EVA and MV for all years. However, no significant relationship was identified between EVA and MVA. Discussion – The findings reveal that investor behavior does not always align with companies’ internal performance indicators. This indicates that relying solely on a single metric in the evaluation of financial performance may be insufficient. On the other hand, the findings of the study show both similarities and differences compared to previous research. These differences may stem from sectoral and regional dynamics as well as variability in investor perceptions. Thus, this study reveals that financial performance indicators can carry different meanings depending on the sectoral context, and that contextual factors should be taken into account when interpreting these indicators.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleAçık Erişim2026
    Afetlere Dirençli Kentler İçin Kardeş Afet Parkı Yaklaşımı: Yedisu Segmenti’nde Pilot İl Seçimi

    Peker, İskender; Tanyas, Mehmet; Şimşek, Nurcan

    Afetlere dirençli kentler, doğa kaynaklı afetlere karşı hazırlıklı, esnek ve hızlı toparlanabilen yerleşimler olarak tanımlanmaktadır. Özellikle 2000’li yıllardan itibaren uluslararası politika ve çalışmalarda, afet öncesi risk azaltımı ve afet sonrası iyileşme süreçlerinde kentsel dayanıklılığın güçlendirilmesi öncelikli hale gelmiştir. Bu bağlamda kamusal açık ve yeşil alanlar, deprem gibi yıkıcı afetlerde güvenli toplanma ve geçici barınma mekânları olarak kritik bir rol üstlenmektedir. Bu çalışmada, kardeş şehir modelinden esinlenerek geliştirilen Kardeş Afet Parkları yaklaşımı kapsamında, Yedisu sismik boşluğu çevresindeki iller için pilot il seçimi amaçlanmıştır. Literatürden belirlenen kriterler BWM yöntemiyle ağırlıklandırılmış, TOPSIS analizi sonucunda Erzincan en uygun pilot il olarak belirlenmiştir.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleYalnız künye2026
    An assessment of multi-hazard events in post-earthquake temporary shelters: the case of the February 6, 2023 earthquakes in Türkiye

    Deniz Ozturk, Yasemin; Peker, Iskender

    The 6 February 2023 earthquakes caused catastrophic losses across 11 provinces of T & uuml;rkiye. To meet urgent shelter needs, extensive tent and container settlements were rapidly established; over time, however, these sites proved highly vulnerable to multi-hazard events. This study investigates the spatial and temporal distribution and impacts of fires, floods, and storms on temporary shelters over a two-year period following the earthquakes. In total, 306 events were identified across eight provinces - 155 fires, 147 floods, and 4 storms - damaging 5,075 containers and 420 tents, and causing 16 deaths and 67 injuries. Seasonal factors played a critical role of these hazards. As the earthquakes occurred during winter, the region's cold, rainy conditions led to frequent flooding and numerous heating-related tent fires, particularly in winter and early spring. March recorded the highest number of events due to intense rainfall, storms, and elevated heating demand. Vulnerable groups - including children, workers, and refugees - were disproportionately affected, with children accounting for six fire-related fatalities. Overall, the results highlight the seasonal nature of multi-hazard events in temporary shelter areas and emphasise the need for climate-sensitive planning, hazard mitigation measures, and improved safety standards in post-disaster temporary settlements.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 13 · İklim Eylemi
  • MakaleAçık Erişim2026
    A Land Use Analysis of Coastal Reclamation Areas in Ortahisar District, Trabzon (2000-2024)

    Üzülmez, Mehmet

    This study evaluates land use patterns in reclaimed coastal areas of Ortahisar district, Trabzon, from 2000 to 2024. It examines the role, functions, and environmental and structural impacts of reclamation in urban development. In mountainous cities like Trabzon, with limited flat land, sea filling is a key urban expansion strategy. The research combines literature review, satellite image analysis, and GIS mapping (ArcGIS), supported by climate, population, and topographic data from official sources. The study analyses reclaimed zones including Akyaz & imath;, Be & scedil;irli, Ganita, and De & gbreve;irmendere. InAkyaz & imath;, 39 hectares serve the & Scedil;enol G & uuml;ne & scedil;Sports Complex, and 29 hectares serve the city hospital ,which is currently under construction, alongside a mosque, fishermen's shelter, and parking. Ganita includes 17 hectares of parks and recreation and 9 hectares for transport infrastructure, reflecting a public-use planning approach. De & gbreve;irmendere hosts parks, fishermen's shelters, roads, a port, and breakwaters, with about 28 hectares unused. These areas address population growth and land scarcity, creating new urban spaces but posing environmental and engineering risks. International studies highlight issues such as ground settlement, structural instability, flood and storm vulnerability, and marine ecosystem damage in reclaimed lands. While valuable for infrastructure and public services, reclamation should be managed beyond spatial growth. The study stresses how multifunctional, public-focused, strategic planning shaped these areas. However, comprehensive interdisciplinary approaches are needed for ground safety, sustainability, and ecosystem protection. Future planning must mandate geotechnical surveys and environmental impact assessments. Reclamation should align with natural processes, not just physical expansion. Public participation and integrating local needs are crucial. Transport and access plans should balance coastal access and sustainability. Ortahisar's reclamations offer short-term urban solutions, but long-term risk reduction requires integrated sustainable planning.

    • SDG 6 · Temiz Su ve Sanitasyon
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 15 · Karasal Yaşam
  • MakaleAçık Erişim2026
    Drivers’ Perceptions of Vertical Traffic Signs and Their Implications for Road Safety: Evidence from a Field Survey

    Durmus, Tahsin; Coruh, Emine

    Accurate perception and interpretation of the road environment are essential for safe driving. Vertical traffic signs play a key role in communicating warnings, regulations, and guidance to road users, thereby supporting safe and efficient traffic flow. However, their effectiveness depends not only on proper design and placement but also on how accurately and promptly they are perceived by drivers, which may be influenced by factors such as attention, cognitive workload, physical and mental condition, and fatigue. This study evaluates the contribution of selected vertical traffic signs to driving safety along a designated roadway section in Şanlıurfa, Türkiye. Face-to-face surveys were conducted with 480 active road users. Drivers’ knowledge, compliance behavior, safe route preferences, perceived visibility, and the effects of missing or inadequate signage were analyzed. The results indicate that driving exposure, education level, and experience significantly influence knowledge and perception of traffic signs, while compliance shows limited variation. These findings suggest that knowledge alone does not necessarily translate into behavioral compliance and underscore the importance of considering both driver-related factors and infrastructure characteristics in traffic safety strategies. The study provides practical insights for improving the visibility, placement, and overall effectiveness of vertical traffic signs in rapidly developing urban environments.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleAçık Erişim2026
    Severity-Based Mapping of Land-Subsidence Hazard Zones and Critical Hotspots Using SBAS-InSAR and Spatial Statistics: The Konya Metropolitan Area, Turkey

    Yalvac, Sefa; Bjelotomić Oršulić, Olga

    Land subsidence induced by excessive groundwater withdrawal has become one of the most significant geohazards affecting the Konya Closed Basin, Turkey. Although previous studies have successfully monitored ground deformation using geodetic and remote sensing techniques, limited attention has been devoted to transforming deformation measurements into quantitative, spatially classified hazard information. This study presents a severity-based framework for delineating land-subsidence hazard zones and critical hotspots in the Konya metropolitan area by integrating SBAS-InSAR observations and spatial statistical analyses. A total of 82 Sentinel-1 SAR acquisitions (41 ascending and 41 descending images) acquired between January 2023 and May 2026 were processed using the Small Baseline Subset (SBAS) technique. Ascending and descending line-of-sight deformation measurements were combined to derive vertical deformation rates, which were integrated with spatial statistical indicators and a composite severity index to quantify deformation clustering and classify subsidence severity. Hazard zones and critical hotspot areas were delineated through severity-based classification and spatial connectivity analyses. The results reveal a continuous north–south-oriented subsidence deformation belt extending across the eastern Konya. Maximum vertical subsidence rates exceeded 230 mm/yr, while spatial statistical analyses confirmed strongly clustered and statistically significant deformation patterns. Severity-based hazard zonation identified four hazard classes and a continuous high-hazard corridor. Clustering analysis further identified a dominant hotspot belt covering approximately 160 km2, with mean subsidence rates of approximately 142 mm/yr. A sensitivity analysis of the composite severity index weighting scheme, the spatial statistical neighborhood distance, the DBSCAN clustering parameters, and the number of Jenks severity classes confirmed that the resulting hazard zones and critical hotspot belt are robust to reasonable parameter variations. The findings demonstrate that land subsidence in Konya is organized as a spatially continuous regional-scale deformation system rather than a collection of isolated subsidence centers. The proposed framework transforms InSAR-derived deformation measurements into quantitative, decision-support hazard information and provides a transferable methodology for land-subsidence hazard assessment in groundwater-stressed urban environments.

    • SDG 6 · Temiz Su ve Sanitasyon
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 15 · Karasal Yaşam
  • MakaleAçık Erişim2026
    Comparison of Aluminum Composite Sandwich and Traditional Reinforced Concrete Slab Frame Systems in Terms of Dynamic and Global Behavior

    Demirağ, Özgül; Öztekin, Ertekin

    The high mass of traditional reinforced concrete (RC) slabs significantly increases seismic forces in buildings. While lightweight aluminum foam sandwich (AFS) composite slabs offer radical mass reduction, their global seismic performance and interaction with diaphragm flexibility in RC frames remain underexplored. This study presents a linear elastic comparative analysis of pure RC moment frames (1–6 stories), contrasting traditional slabs with AFS slabs under both rigid and semi-rigid diaphragm assumptions. All models were optimally designed to meet identical Eurocode serviceability and stability limits, ensuring a fair comparison via response spectrum analysis. Results show that AFS slabs reduce total structural weight by 33.5–45.9%. This mass reduction, combined with period elongation in semi-rigid models, substantially decreases elastic seismic demands: story shear forces are reduced by 30.9–45.1% for rigid-diaphragm models and by up to 64.3% for semi-rigid ones, while column axial loads decrease by up to 33.7%. All systems satisfied code drift and stability criteria. It is concluded that AFS slabs can dramatically lower seismic mass and elastic force demands while maintaining serviceability, with semi-rigid action providing additional reductions. These conclusions are derived from linear elastic analysis and are applicable to pure frame systems; nonlinear performance and behavior in dual systems require future investigation.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleYalnız künye2026
    Children's voices in disaster recovery: Lessons from the 2023 Turkey-Syria earthquake

    Yildiz, Ayse; Simsek, Nurcan; Boluk, Aysegul

    Disasters have a devastating impact on populations, with children being one of the most at-risk groups. Although their vulnerability in disasters is widely recognised, children's own voices are still largely missing from disaster recovery research and planning. This study aims to address that gap by listening directly to the experiences and perspectives of children aged 11 to 14 in Nurdağı, Gaziantep, one of the hardest-hit areas in Türkiye, on disaster relief and recovery. Using a qualitative, child-centred approach, grounded in a socio-ecological, rights-based framework, we conducted interviews with 58 children, alongside 47 additional interviews with parents, teachers, and first responders, to understand how young people coped with life after the earthquake, what challenges they faced, and what they believe would support recovery. The findings show that children struggled with difficult living conditions, trauma, disrupted education, and changing social relationships, but they also demonstrated remarkable insight, emotional intelligence, and a desire to be involved in rebuilding their communities. Many children questioned the fairness of aid distribution and called for more attention to mental health and safer schools. Rather than portraying children as passive victims, the study highlights their capacity to reflect, adapt, and contribute. It calls for more inclusive, responsive recovery strategies that treat children as active participants in disaster planning and post-disaster rebuilding. The study offers actionable recommendations for policymakers, educators, and humanitarian practitioners to better integrate children's perspectives into long-term recovery planning and resilience-building initiatives.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 10 · Eşitsizliklerin Azaltılması
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
  • MakaleAçık Erişim2026
    Place attachment of earthquake victims residing in Antakya (Hatay) after the Kahramanmaraş earthquakes on February 6, 2023

    Fakıoğlu, Merve; Mızrak, Sefa

    People affected economically, environmentally, physically, and psychologically by the earthquake may be reluctant to move to safer and more comfortable places for various reasons. Investigating the factors that influence people’s place attachment after devastating earthquakes will enable the creation of sustainable communities and cultures. This study examined the impact of earthquake experience, preparedness, place-protective behavior, social support, insecurity, price increase, the surrounding environment, self-efficacy, and risk perception on place attachment among earthquake victims in Antakya following the February 6, 2023, Kahramanmaraş earthquakes. Data were collected via surveys from 453 earthquake victims in the Antakya region of Hatay (Türkiye) province, one year after the earthquakes. Eleven ordered logistic regressions revealed the strength and direction of the factors affecting place attachment. Earthquake victims who were injured, lost relatives, were not evacuated, and were not disturbed by the rubble had higher place attachment. Earthquake preparedness, formal social support, post-earthquake insecurity, post-earthquake price increase, self-efficacy, and earthquake risk perception did not affect place attachment. Sustainability and place-protective behavior increased place attachment. Furthermore, place attachment was higher among men and those who lived longer in Antakya. This study is expected to guide managers, disaster experts, and non-governmental organizations who develop strategies to increase people's place attachment in disaster-affected regions.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleYalnız künye2026
    Effects of earthquake frequency content and isolation thickness on seismic behavior of a structure system resting on geotechnical seismic isolation layer

    Ozturk, Kasif Furkan; Cakir, Tufan; Araz, Onur

    Geotechnical seismic isolation (GSI) systems aim to partially dissipate the energy before it reaches the foundation of the structure system and are therefore regarded as an important alternative to structural seismic isolation systems. In addition, the use of petroleum-derived waste materials in the GSI systems fills a significant gap in the field of waste recovery. The present study investigates the changes in the dynamic responses of a 5-story building system with and without GSI, using a set of earthquakes classified according to their frequency content. For this purpose, parametric analyses were performed using analytical methods, considering three different earthquake frequency contents and six different GSI thicknesses. Furthermore, an approach for selecting the GSI thickness was suggested. The results generally show that, for structures founded on both natural soil (NS) and GSI systems, the earthquakes with low frequency content produce responses greater than the average responses calculated for all the investigated earthquakes. Although increasing the GSI thickness has a significant effect on attenuating structural responses, increasing this thickness beyond 3 m does not lead to a relatively significant reduction in the dynamic responses of the investigated structural system. Therefore, considering the structural system, NS, rubber-soil mixtures and earthquakes examined in this study, selecting a GSI thickness in the range of 2–3 m (inclusive) may be regarded as a practical approach for mitigating the dynamic responses of the structure since further increments in thickness beyond this range provide only progressively limited improvements in structural responses. Consequently, this research may provide meaningful data for the development of vibration control strategies to improve seismic resilience of structures, and the results are expected to be useful for better understanding of the GSI applications.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleAçık Erişim2026
    Multi-criteria techno-economic evaluation of electric buses with vehicle-integrated photovoltaic for enhanced sustainability

    Başoğlu, Mustafa Engin

    This study presents a multi-criteria techno-economic evaluation of electric buses (e-buses) equipped with vehicle-integrated photovoltaics (VIPV) to support the global transition toward zero-emission transportation. Aligned with international climate goals like the Paris Agreement and the European Union's 2050 carbon neutrality target, the research assesses ten 12-meter and 18-meter commercial e-bus models from various manufacturers. A computationally efficient methodology is employed, utilizing PVGIS-derived global horizontal irradiation (GHI) data specifically for Gümüşhane, Türkiye. The evaluation framework simultaneously analyzes several critical indicators: PV-based range extension, CO2 emission reduction, grid-connected charging frequency, battery depth of discharge (DoD), and payback period (PP). Findings from the baseline scenario—assuming 50% usable roof area and 22% module efficiency—reveal that e-buses can achieve a daily PV range of up to 19.16 km and annual CO2 emission savings ranging from 1709 to 2596 kg. Additionally, VIPV integration effectively mitigates battery aging by providing a peak DoD reduction of 6.91% and decreases grid-charging dependency by up to 5% during high-irradiance months. In an optimistic scenario featuring 80% usable roof area and 30.1% efficiency, the daily PV range reaches a maximum of 46 km, while the reduction in grid-charging frequency improves significantly to 21.16%. Economic assessments, including Net Present Value (NPV) analysis, confirm the investment's viability, with PPs as short as 3.76 years. This research provides a comprehensive, scalable framework and practical guidance for municipalities and fleet operators to enhance the sustainability of public transport (PT) through solar energy integration.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 13 · İklim Eylemi
  • MakaleAçık Erişim2026
    Integrated MCDM-based evaluation of urban intersection congestion

    Tona, Aziz Ugur; Maraş, Erdem Emin

    This study aimed to systematically evaluate the factors affecting traffic congestion at urban intersections and rank them based on congestion levels. Three multi-criteria decision-making (MCDM) techniques—Content validity method (CVM), best-worst method (BWM), and technique for order preference by similarity to ideal solutions (TOPSIS)—were used in an integrated framework. First, 15 potential congestion-related criteria were identified through literature and expert input. Using CVM, 8 key criteria were selected based on field-measured traffic data, official accident records obtained from relevant authorities, and structured on-site observational measurements. Their optimal weights were then calculated via a linear optimization model within the BWM. These weights were fed into TOPSIS for estimation and ranking of junction congestion. The examination also showed the Karayolları intersection to be the most congested (score: 0.711) and Toplu Konut Boulevard Intersection to be the least congested (score: 0.140). The findings provide essential information for decision-makers, aiding initiatives to enhance urban traffic flow by pinpointing crucial crossings and suggesting alternative geometric configurations. In addition, a sensitivity analysis across different weight conditions has confirmed the reliability and practical usefulness of the model. This proposed approach serves also as a tactical tool to prioritize interventions and improve the efficacy of transportation networks in urban environments.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleYalnız künye2026
    Impact of soil-structure interaction on earthquake response of high-rise steel frames equipped with TMD and FTMD optimized through cloud drift optimization

    Alibabaei Shahraki, Mohammad; Araz, Onur; Ahmadi, Hossein

    Vibration control of tall buildings under various seismic and foundation conditions remains a critical issue in earthquake engineering. This paper investigates the performance of Tuned Mass Damper (TMD) and Friction Tuned Mass Damper (FTMD) systems in reducing the seismic response of fixed-base and Soil-Structure Interaction (SSI) analyses of 20- and 40-storey steel moment-resisting frames. The current study uses the OpenSees software and the Cloud Drift Optimization (CDO) technique, aiming at minimizing the normalized H 2 -norm of the roof displacement. The performance of the seismic control is investigated by performing nonlinear dynamics analyses with the help of a set of 14 records, of which 7 records are far-field and the remaining ones are near-field records. Results show that both TMD and FTMD are effective in decreasing roof displacement on 20- and 40-story buildings subjected to fixed-base and SSI excitations. More precisely, results for the average reduction in roof displacement are 33.4% and 27% when FTMD is subjected to SSI loading, while those values were 10.7% and 16.5% when TMD was subjected to SSI loading in the case of 20- and 40-story buildings, respectively. Results are based on multiple variables including base shear, kinetic energy, and damping energy. The results demonstrate that the FTMD system provides superior seismic response reduction compared to the conventional TMD.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleAçık Erişim2026
    Land Subsidence Susceptibility Mapping in Semi-Arid Regions Using PS-InSAR and Tree-Based Ensemble Machine Learning: A Case Study From Çumra, Türkiye

    Bilgilioğlu, Burhan Baha

    Land subsidence is an increasing environmental hazard in semi-arid agricultural basins where intensive groundwater abstraction, compressible geological units, and expanding land-use pressures interact. This study presents a PS-InSAR and machine-learning-based framework for land subsidence susceptibility mapping in the Çumra District of the Konya Closed Basin, Türkiye. A time-series PS-InSAR analysis was conducted using 172 Sentinel-1A ascending images acquired between 2018 and 2023, and 11,718 high-confidence subsidence points were extracted as the inventory dataset. Fourteen conditioning factors representing topographic, hydrogeological, lithological, environmental, and anthropogenic controls were integrated with eight tree-based ensemble models optimized using Optuna. Random Forest achieved the highest overall performance, with an accuracy of 0.9745, precision of 0.9562, recall of 0.9945, F1 score of 0.9750, and Cohen's Kappa of 0.9490, followed by Extremely Randomized Trees and XGBoost. Class-specific validation also confirmed the reliability of Random Forest in delineating the Very High Susceptibility class. Variable importance analysis identified land use, proximity to settlements, well density, and groundwater level change as the dominant predictors, emphasizing the role of groundwater-related anthropogenic pressure in subsidence development. The resulting susceptibility maps provide a spatial decision-support basis for groundwater management, land use planning, and subsidence risk mitigation.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 13 · İklim Eylemi
    • SDG 15 · Karasal Yaşam
  • MakaleAçık Erişim2026
    Critical Success Factors for Building Resilience in Circular Supply Chains of Electric Vehicle Batteries: Evidence from an Emerging Country

    Erol, Ismail; Oztel, Ahmet; Peker, Iskender; Ar, Ilker Murat; Searcy, Cory

    Given the global expansion of electric vehicles (EVs), decision makers in developing and emerging countries must address important challenges across EV battery supply chains (EVBSCs) toward circularity. For example, batteries usually make up about 40% of an EVs’ value, and the race to achieve net zero emissions will further underscore the critical need for vital minerals and metals, such as lithium, cobalt, and graphite, necessary to make batteries. Stakeholders routinely question the resilience of circular (C) EVBSCs worldwide, from mining valuable materials to manufacturing the batteries necessary to support the widespread deployment of EVs. Identifying and investigating critical success factors (CSFs) of any system is a necessary step in achieving its targets. Little research, however, has been performed to investigate the CSFs for building resilience in EVBSCs, particularly those focused on building a circular supply chain. The goal of this research is, therefore, to systematically scrutinize the CSFs of resilient C-EVBSCs in Türkiye. To this end, a decision framework applying inter-valued neutrosophic ISM-MICMAC is proposed. Based on expert opinions, an application of the decision framework finds that effective government policies, directives, and incentives and well-established dynamic capabilities, are key driving CSFs to building resilience in a C-EVBSC.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleYalnız künye2026
    Beyond reactive displacement: anticipatory mobility, climate governance, and the climate passport

    Limon, Onur; Gürdal Limon, Elif

    This article examines how existing mobility governance frameworks can be re-theorized to better align with the temporal dynamics of climate risk and the conditions shaping mobility decision-making. The analysis demonstrates that current mobility regimes systematically privilege discretionary, event-based protection while offering limited legal predictability or rights-based recognition for anticipatory and incremental mobility. Building on this analysis, the article develops the Climate Passport as a diagnostic framework rather than an operational policy instrument. The framework specifies three governance criteria that any adequate anticipatory mobility regime would need to satisfy: early recognition of climate risk before displacement becomes unavoidable, rights-based and legally predictable status for those facing slow-onset environmental harm, and institutional coherence across the currently fragmented domains of migration, refugee protection, and climate adaptation governance. Informed by the historical Nansen Passport and grounded in human rights and climate justice scholarship, the framework offers a systematic lens for examining how institutional architectures structure the timing, legitimacy, and accessibility of mobility under climate change. By reframing climate-related mobility as a structurally embedded component of adaptation rather than an exceptional failure of in situ resilience, the article contributes to interdisciplinary debates on migration, adaptation, and global justice.

    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
    • SDG 13 · İklim Eylemi
    • SDG 16 · Barış, Adalet ve Güçlü Kurumlar
  • MakaleAçık Erişim2026
    The impact of high voltage transmission lines (HVTL) on property value: A descriptive initial survey

    Marabaoğlu, Seda Nur; Uzun, Bayram

    Properties hosting High Voltage Transmission Lines (HVTL) generally have lower values in Turkey. Therefore, owners are compensated for the easement. However, due to the inadequacy of laws and regulations, easement prices (compensation) can be calculated incorrectly. In this study, a descriptive survey was conducted to obtain ideas and information on the solution of problems encountered in determining easement prices and practices in other countries were examined. As a result of the survey, the area covered by the easement on the property and the route of the line were identified as the most important factors that negatively affect property value. It emerges that the diagonal crossing of HVTL over properties is the factor that decreases property value the most (compared to other crossing methods). Additionally, it is observed that the easement price paid to property owners varies mostly according to the per square meter value of the property and secondly according to the area of the property.

    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar
  • MakaleÖn baskısı açık2026
    Mixed Method Investigation of the Major Challenges to the Sustainable Deployment of the Electric Vehicle Charging Station Network in Türkiye

    Erol, Ismail; Oztel, Ahmet; Peker, Iskender; Ar, Ilker Murat; Benli, Tolga; Turan, İsmet

    Charging the increasing number of electric vehicles (EVs) in use requires the deployment of EV charging station networks (EVCSN). However, there are various challenges to deploying EVCSN in a sustainable manner. Türkiye, a developing country, should also build a robust EVCSN to encourage future adoption of EVs as the country’s market for EVs has been rapidly growing. The literature review concludes that no previous study has systematically explored challenges to the sustainable deployment of EVCSN. The goal of this study is, therefore, twofold: first, it identifies those challenges through the lenses of commonly used theories. Second, it explores them using a multi-criteria decision-making (MCDM) framework that incorporates a rough-derived interval-valued neutrosophic set (R-IVN)-based ISM into MICMAC. By deriving interval neutrosophic information from single-valued expert inputs using rough number operators, the proposed approach more accurately captures epistemic uncertainty and variability in expert judgments compared to conventional interval-based models. The method is further validated through a novel Dice–Sørensen similarity index-based simulation approach. The findings of this study suggest that developing government policies and regulations and addressing the existence of vertically integrated companies are the critical challenges with higher driving powers. These findings provide key responsibilities for stakeholders, including urban municipalities, in developing guidelines for EVCSN deployment.

    • SDG 7 · Erişilebilir ve Temiz Enerji
    • SDG 9 · Sanayi, Yenilikçilik ve Altyapı
    • SDG 11 · Sürdürülebilir Şehirler ve Topluluklar