Sürdürülebilir Kalkınma Amaçları

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• MakaleAçık Erişim2026Scopus SJRQ1/r/munzur/1384
  Evaluation and Classification of Emergency and Disaster Assembly Areas with ORESTE-Sort

  Ozdemir, Umit; Mete, Suleyman; Gul, Muhammet

  Emergency and Disaster Assembly Areas (EDAA) are designated safe zones where basic needs can be met until temporary shelters are established following natural or man-made disasters like floods, fires, earthquakes, explosions, or chemical incidents. Promptly relocating disaster victims to these areas is crucial for minimizing loss of life and facilitating effective search and rescue operations by maintaining an uninterrupted flow of information. To prepare for disasters like earthquakes, which cause significant material and emotional damage to large populations, sustainable disaster management must be ensured to evaluate site suitability, correct deficiencies, and avoid inappropriate locations. This study will examine the evaluation criteria for EDAAs established by the Tunceli Provincial Disaster and Emergency Management Authority (AFAD) in terms of area, structure, security, and accessibility, taking into account the region’s specific characteristics. Based on a literature review, eleven criteria have been proposed and ranked using the Besson mean ranking method. Areas have been classified into four categories (e.g., adequate, not suitable) using the optimistic, pessimistic, and comprise approaches of the Assignment Rule Driven by Attitudes (ARDA) and the ORESTE-Sort method. The examination of 19 EDAA provides two perspectives: an optimistic view that recommends classifying eleven areas as first class and using all areas as they are, and a pessimistic view that calls for urgent improvements in three areas and states that one area (EDAA 1) is deemed unsuitable due to its assignment to class (Formula presented.). It is also advised that the second area should not be used, despite being rated as class (Formula presented.), due to its proximity to the river and its slope characteristics. The study also performs a sensitivity analysis of the method and provides recommendations for future research.

  AtıfScopus2·WoS1

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• MakaleAçık Erişim2026Scopus SJRQ4/r/munzur/1192
  CLASSIFYING VOLUNTEERS PARTICIPATED IN SEARCH AND RESCUE ACTIVITIES: A COMPARATIVE ANALYSIS OF TOPSIS-SORT AND ORESTE-SORT METHODS

  Ozdemir, Umit; Mete, Suleyman; Gul, Muhammet

  Volunteers collaborate with professionals to provide institutional assistance in various areas; their management differs from that of professionals. To maximise volunteer productivity, categorising volunteers according to their knowledge and experience levels and distributing tasks increases volunteer retention and task efficiency. This study categorizes volunteers into four groups, fulfilling nine criteria identified through a literature review of search and rescue activities. TOPSIS-Sort and ORESTE-Sort (Optimist and Pessimist approaches) are employed in classification. Only one alternative is consistently assigned to the same class across all methods. While ORESTE-Sort offers greater flexibility and three distinct classification outcomes, it is more complex and sensitive to threshold values. TOPSIS-Sort, though simpler and producing a single classification, requires criterion weight. The Wilcoxon signed rank test is applied to evaluate the similarity between ORESTE-Sort and TOPSIS-Sort results; there are significant differences between the two methods. The study concludes by comparing the methods' applications, steps, and solution approaches, highlighting their respective advantages and disadvantages, and suggesting directions for future research.

  İncele
• MakaleAçık Erişim2026Scopus SJRQ1/r/munzur/908
  A two-stage volunteer assignment model for post-disaster search and rescue operations

  Ozdemir, Umit; Mete, Suleyman; Gul, Muhammet

  Effective volunteer management requires ensuring operational continuity and maximizing benefits from all team members. Prioritizing volunteers with adequate knowledge and experience in task assignments is crucial for maintaining workflow continuity. This study employs a two-stage model for allocating areas and tasks to volunteers in search and rescue operations. The first stage identifies the optimal number of volunteer response centers using the P-median problem. Considering population density as demand, 7 out of 14 accessible and protected disaster collection areas meeting basic needs are selected as optimal response centers based on distance. In the second stage, a mixed-integer programming model is proposed for volunteer assignment, which prioritizes assigning the most knowledgeable and experienced volunteers to critical positions. The model’s flexibility and applicability are demonstrated by incorporating voluntary rest periods, which are allocated based on the urgent needs of response centers in various post-disaster scenarios. Solved using GAMS/CPLEX, the model’s results show that expert volunteers in low-demand scenarios are prioritized, working 5 out of 9 shifts, while other volunteers receive insufficient assignments. In high-demand scenarios, some response centers face volunteer shortages, with a deficit of 62 volunteers across 9 shifts in non-emergency areas. The study evaluates the benefits and drawbacks of the volunteer assignment model and offers recommendations for future research.

  AtıfScopus2·WoS2·OpenAlex3

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• MakaleAçık Erişim2024/r/munzur/6029
  An Evaluation of the logistics Performance Index Using the ENTROPY-based ORESTE Method

  Mete, Süleyman; Özdemir, Ümit; Çıray, Deniz

  Logistics performance measurement has become increasingly important for countries as the competitive environment has increased. For this purpose, the World Bank has begun publishing logistics performance index (LPI) reports. The LPI ranking of countries is determined by the experts’ scoring system. By re-analyzing this scoring and reevaluating it without the need for expert opinion, this study analyzed the evaluation of country rankings according to criteria weights from several different angles. This study aims to provide a detailed analysis of the World Bank’s 2023 report using the ENTROPY-based ORESTE method, which has not previously been used in LPI evaluation and provides a more accurate and robust approach to the research. Although several studies have explored this similar topic in the literature, using a new method and comparing the criteria weights by including them in the analysis gave the present study a broader perspective. LPI analysis is an important tool for assessing and improving a country’s competitiveness, and it can help investors compare logistics infrastructure and processes across countries. This can help stakeholders to better plan and make direct investments. Logistics researchers can use the LPI to examine sectoral and economic trends and forecast future developments. Furthermore, the LPI can be used in academia to train and raise awareness about assessment, logistics, and supply chain management programs. This is an important resource for training future logistics professionals and managers and providing policymakers and practitioners with a more refined tool for identifying areas for improvement and investment in logistics infrastructure.

  AtıfTR Dizin3

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• Kitap BölümüYalnız künye2023/r/munzur/2979
  Determining the Criterion Weights for the Selection of Volunteers in Humanitarian Organizations by the Best-Worst Method

  Ozdemir, Umit; Mete, Suleyman; Gul, Muhammet

  Today, it is vital for humanitarian organizations operating in many different fields to select volunteers from the determining criteria according to the needs of the institution. Failure to select volunteers in accordance with the institution's needs may cause the volunteers to be unable to continue their duties and interrupt the institution's work. When choosing volunteers, it is essential for effective volunteer management to classify (expert, experienced, inexperienced, and insufficient) them according to the institution’s needs and assign them starting from the volunteer in the best class volunteer when necessary. The aim of this study is to determine the criteria weights in the classification of volunteers who want to participate in search and rescue activities in humanitarian aid organizations according to the criteria determined before their assignment. In this study, a questionnaire is applied to field experts in Turkey to determine the most important and least important criteria, then criteria weights are calculated by using the Best-Worst Method (BWM). The findings obtained as a result of our study are evaluated and suggestions are made on how to improve it for future studies.

  AtıfScopus1·OpenAlex1

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• MakaleAçık Erişim2021/r/munzur/6603
  Fosil Kaynak Tüketiminin Karbon Ayak İzine Etkisi: Türkiye’den Kanıtlar

  Yildiz, Hakan; Yüksel, A .Yusuf; Özdemir, Ümit

  Küresel iklim değişikliği, son yıllarda yaşanan sağlık ve çevre krizlerinin en önemli nedenidir. Hızla artan enerji talebinin, yüksek oranda fosil kaynak tüketiminden (FKT) karşılanması, bu problemin ana kaynağıdır. Türkiye karbon ayak izi (KAİ) verilerindeki artış bu tüketimin en önemli göstergesidir. Bu çalışmada 1971-2017 dönemi, KAİ verileri ve FKT arasındaki ilişki Johansen eşbütünleşme analizi ile incelenmiştir. Yapılan test istatistiklerinin sonuçlarına göre iki değişken arasında uzun dönemli bir ilişkinin olduğu görülmüştür. Aynı zamanda bu ilişkinin kısa dönemde etkilerini görmek için hata düzeltme modeli uygulanmış ve test sonucunda hata düzeltme değeri de anlamlı çıkmıştır. Böylelikle iki değişken arasında uzun dönemli ilişkinin tutarlı olduğu belirlenmiştir. Ayrıca eşbütünleşme testinin sınaması yapılmış elde edilen sonuçlar ile iki değişken arasında kurulan eşbütünleşmenin doğru olduğu tespit edilmiştir. Sonuç olarak FKT’nin, KAİ’de neden olduğu artış istatistiksel olarak da anlamlı bulunmuştur.

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  AtıfOpenAlex3·TR Dizin2

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