Rethinking Safety: Smart Strategies for Disaster Risk Reduction
Students & Supervisors
Student Authors
Supervisors
Abstract
"Background Natural disasters, such as floods, landslides, and earthquakes, have been exacerbated by climate change and unplanned urbanization, continuing to impact the lives and property of people and societies. The prevailing traditional disaster management infrastructure often does not provide real time alerts or even accurately predict severe natural disasters or events. Smart technologies such as Artificial Intelligence (AI), remote sensing, and geospatial data are now being applied to predict, monitor, and mitigate natural disasters. Objective This research is a concept development for a smart, technologically driven disaster early warning and response system for natural hazards. This research will use satellite imagery and machine learning as well as real time data to design a scalable solution which enables better community resilience and mitigation of disaster damages. Methodology It analyzed global disaster risk reduction measures and state-of-the-art technologies, including AI, IoT sensors, and GIS mapping. It collected data from global disaster databases and stakeholder interviews in addition to case studies of cities implementing smart DRR systems were compared. Qualitative and quantitative analyses were employed to ascertain effectiveness. Result Smart technologies enhanced preparedness and response to disasters, lowering response times by 40% and improving situational awareness. Neighborhoods that used the technologies were more aware and evacuated more quickly. The challenges included high costs, technical know-how, data security, and uneven access. Connecting local knowledge with technology and multi-stakeholder engagement was most effective. Conclusion Smart disaster risk reduction solutions add a lot to safety but work only if technology is combined with individuals, education, and facilitating policies. The future activities should address accessibility, scalability, and resilience and make communities not only disaster-ready but also adaptive, sustainable, and efficient in reducing risks."
Keywords
Publication Details
- Type of Publication:
- Conference Name: 1st International Conference on Geosciences for Achieving Sustainable Development Goals (ICGSDG)
- Date of Conference: 14/11/2025 - 14/11/2025
- Venue: University of Rajshahi
- Organizer: Faculty of Geosciences