Abstract:
Urban disasters, including floods, earthquakes, and infrastructure failures, position significant challenges to modern cities, often resulting in severe consequences such as loss of life, economic disruption, and long recovery periods. Many rapidly urbanizing cities, faces increasing disaster risks due to infrastructure weakness and a lack of advanced integrated technologies for disaster management. Current approaches are frequently reactive, relying on limited data and manual coordination, which delays responses and leads to inefficient resource allocation. This project aims to bridge these gaps by developing an advanced emergency management system that integrates Internet of Things (IoT) sensors, Geographic Information System technology, real-time data analytics, and machine learning (ML). IoT sensors deployed across urban areas to continuously monitor environmental and infrastructural conditions, generating real-time data critical for rapid disaster detection and response. GIS technology enable spatial mapping and analysis of disaster impacts, providing detailed insights into affected areas and supporting informed decision-making. Real-time data analytics process these streams to deliver actionable insights to emergency responders, while ML algorithms leverage historical data to predict potential disaster scenarios, optimize resource allocation, and enhance decision-making accuracy. The system improve disaster response times, reduce risks to human life, and bolster urban resilience. Key outcomes include real-time monitoring, predictive disaster models, and a robust IoT-GIS-based emergency management platform. These results distributed through academic publications, workshops, and conferences, promoting the adoption of advanced disaster management solutions. By addressing critical gaps in disaster preparedness, the project enhance public safety, minimize disaster impacts, and provide a scalable model for other cities worldwide. Ultimately, it seeks to establish a new standard for urban disaster preparedness and response, ensuring a more resilient future for cities.
