Harnessing Artificial Intelligence and Big Data for Proactive Disaster Management: Strategies, Challenges, and Future Directions

Year 2024, , 57 - 91, 30.10.2024

Murat Şengöz

https://doi.org/10.46373/hafebid.1534925

Abstract

Disasters are events that significantly impact people's lives and living spaces globally. Natural disasters can arise from various causes, such as climate change, geological movements, weather events, and human factors. The damage caused by these disasters can affect millions of people and negatively impact societies economically, socially, and environmentally. Disaster management has emerged as a multidisciplinary field aimed at minimizing the damage caused by disasters and making communities more resilient to them. Traditional disaster management strategies include emergency planning, crisis management, pre-disaster preparation, and rapid response during disasters. However, these strategies generally reflect a reactive approach and rely on human resources and existing infrastructure. This article aims to examine the role and impact of innovative technologies such as artificial intelligence and big data in the field of disaster management. While artificial intelligence is known for its ability to analyze complex datasets, discover patterns and relationships, optimize decision-making processes, and predict future events, big data provides the ability to process large amounts of data quickly and efficiently, transforming them into meaningful information. These technologies play a significant role in pre-disaster preparation, crisis management during disasters, and post-disaster recovery processes. The article discusses how artificial intelligence and big data technologies can be used in disaster management, how these technologies can be integrated into disaster risk reduction strategies, and how their effectiveness can be assessed. In conclusion, the integration of artificial intelligence and big data technologies into disaster management offers a more effective and efficient approach to dealing with disasters and can make significant contributions to making communities more resilient to disasters. This article aims to provide a guide to understanding the current state of disaster management and developing more effective strategies.

Keywords

Disaster Management, Artificial Intelligence, Big Data, Risk Analysis, Pre-disaster Preparedness

Yapay Zekâ ve Büyük Veriyi Proaktif Afet Yönetimi İçin Kullanma: Stratejiler, Zorluklar ve Gelecek Yönelimler

Abstract

Afetler, dünya genelinde insanların yaşamını ve yaşam alanlarını ciddi şekilde etkileyen olaylardır. Doğal afetler; iklim değişikliği, jeolojik hareketler, hava olayları ve insan kaynaklı etmenler gibi çeşitli sebeplerden ortaya çıkabilir. Bu afetlerin yol açtığı zararlar, milyonlarca insanı etkileyebilir ve toplumları ekonomik, sosyal ve çevresel açıdan olumsuz yönde etkileyebilir. Afet yönetimi, afetlerin neden olduğu zararları en aza indirmek ve toplumları afetlere karşı daha dirençli hâle getirmek amacıyla multidisipliner bir alan olarak ortaya çıkmıştır. Geleneksel afet yönetimi
stratejileri; acil durum planlaması, kriz yönetimi, afet öncesi hazırlık ve afet sırasında hızlı müdahale gibi süreçleri içermektedir. Ancak bu stratejiler genellikle reaktif bir yaklaşımı yansıtır ve insan kaynaklarına ve mevcut altyapıya dayanır. Bu makale, afet yönetimi alanında yapay zekâ ve büyük veri gibi yenilikçi teknolojilerin rolünü ve etkisini incelemeyi amaçlamaktadır. Yapay zekâ; karmaşık veri kümelerini analiz etme, desenler ve ilişkiler keşfetme, karar alma süreçlerini optimize etme ve gelecekteki olayları tahmin etme yeteneği ile bilinirken, büyük veri, büyük miktarda veriyi hızlı ve etkin bir şekilde işleyerek anlamlı bilgilere dönüştürme imkânı sağlar. Bu teknolojiler, afet öncesi hazırlık, afet sırasında kriz yönetimi ve afet sonrası iyileştirme süreçlerinde
önemli bir rol oynamaktadır. Makalede, yapay zekâ ve büyük veri teknolojilerinin afet yönetiminde nasıl kullanılabileceği, bu teknolojilerin afet risklerini azaltma stratejilerine nasıl entegre edilebileceği ve etkinliğinin nasıl değerlendirilebileceği ele alınmaktadır. Sonuç olarak, yapay zekâ ve büyük veri teknolojilerinin afet yönetimine entegrasyonu, afetlerle başa çıkmada daha etkili ve verimli bir yaklaşım sunmakta olup toplumların afetlere karşı daha dirençli hâle gelmesine önemli katkılar sağlayabilir.

Keywords

Afet Yönetimi, Yapay Zekâ, Büyük Veri, Risk Analizi, Afet Öncesi Hazırlık.

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