American Journal of Advanced Multidisciplinary Research and Innovation

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Digital Innovation for Disaster Risk Reduction and Emergency Management Systems

Author(s) Carol Dweck
Country United States
Abstract The increasing frequency and intensity of natural and human-induced disasters—including earthquakes, floods, cyclones, wildfires, landslides, pandemics, industrial accidents, and climate-related emergencies—have highlighted the need for intelligent, resilient, and technology-driven disaster management systems. Traditional disaster risk reduction (DRR) approaches often rely on fragmented communication, manual data collection, and reactive response mechanisms, limiting their effectiveness during rapidly evolving emergencies. Recent advances in Artificial Intelligence (AI), Internet of Things (IoT), Big Data Analytics, Cloud Computing, Geographic Information Systems (GIS), Remote Sensing, Unmanned Aerial Vehicles (UAVs), Blockchain, Digital Twin Technology, and 5G Communication have enabled the development of digital disaster management ecosystems capable of supporting real-time monitoring, predictive analytics, early warning, coordinated emergency response, and post-disaster recovery.
This study presents a comprehensive review of Digital Innovation for Disaster Risk Reduction and Emergency Management Systems. A qualitative analytical research methodology based on secondary data is employed to investigate intelligent disaster monitoring, risk assessment, emergency communication, predictive modelling, crisis decision support, humanitarian logistics, and community resilience. The research evaluates how digital technologies improve disaster preparedness, response efficiency, recovery planning, and sustainable resilience across multidisciplinary sectors.
The findings indicate that AI-driven predictive analytics significantly improve hazard forecasting, disaster detection, evacuation planning, and emergency resource allocation. IoT-enabled sensor networks and satellite remote sensing provide continuous environmental monitoring, while GIS supports spatial risk analysis and disaster mapping. Blockchain enhances transparency in humanitarian aid distribution, and Digital Twin technology enables virtual disaster simulations for strategic planning. Furthermore, integrating cloud computing, edge computing, and mobile communication platforms strengthens coordination among emergency agencies and improves public safety.
Despite these opportunities, challenges remain regarding data interoperability, cybersecurity, communication infrastructure resilience, financial investment, ethical data governance, regulatory coordination, and digital inclusion. Future research should investigate autonomous disaster response systems, explainable AI for emergency decision-making, quantum-enhanced disaster modelling, federated emergency intelligence, and climate-resilient digital infrastructures.
The study concludes that digital innovation provides a transformative framework for disaster risk reduction and emergency management by enabling intelligent, adaptive, and data-driven systems that protect lives, minimise economic losses, and strengthen community resilience in an increasingly uncertain world.
Keywords Disaster Risk Reduction, Emergency Management, Artificial Intelligence, Internet of Things, Digital Innovation, Smart Disaster Management, Geographic Information Systems, Remote Sensing, Digital Twin, Climate Resilience.
Field Engineering
Published In Volume 2, Issue 2, March-April 2020
Published On 2020-04-30
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