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| Dergi Adı | İnsan ve Toplum Bilimleri Araştırmaları Dergisi | ||
| Dergi ISSN | 2147-1185 | ||
| Dergi Tarandığı Indeksler | TR DİZİN | ||
| Makale Dili | Türkçe | Basım Tarihi | 09-2025 |
| Cilt / Sayı / Sayfa | 14 / 3 / 2012–2032 | DOI | – |
| Makale Linki | https://dergipark.org.tr/tr/pub/itobiad/issue/94564 | ||
| UAK Araştırma Alanları |
Lojistik Yönetimi
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| Özet |
| Disasters are events caused by the uncontrolled occurrence of natural phenomena or man-made hazards, leading to large-scale loss of life, property and environment. Disasters such as earthquakes, floods, forest fires, technological accidents and nuclear leaks create situations that require immediate intervention and have long-term social and economic impacts. Factors such as increasing urbanisation, climate change, population density and environmental degradation increase both the frequency and severity of these disasters. Therefore, it is no longer sufficient to carry out disaster management based only on traditional methods; integration of new generation technological solutions becomes inevitable. This study aims to examine the contributions of artificial intelligence (AI)-supported unmanned aerial vehicles (UAVs) in disaster management processes and to evaluate the possibilities of using these technologies according to different types of disasters from a multidimensional perspective. In the study, qualitative method based on literature review was used and national and international sources were analysed comparatively. The roles of AI-supported UAVs in disaster preparedness, response and recovery phases are discussed through operational advantages, limitations and application examples. The findings reveal that these technologies offer fast and effective solutions in tasks such as search and rescue, damage assessment, material delivery, access to hazardous areas, real-time data collection and communication, especially in critical time periods such as the first 72 hours of the disaster. Real-time imaging, damage assessment, search … |
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