Disruptive technologies as a solution for disaster risk management: A review.

Area of Science:

• Urban planning and disaster management
• Information and communication technology integration
• Artificial intelligence and big data applications

Background:

• Smart city infrastructure development is crucial for effective disaster response.
• Disruptive technologies offer potential solutions for improving urban disaster management.
• Current disaster management strategies require enhancement through technological integration.

Purpose of the Study:

• To review disruptive technologies for urban disaster management.
• To identify gaps and barriers in implementing these technologies.
• To propose a framework for improving post-disaster management in smart cities.

Main Methods:

• Perspective review of disruptive technologies (IoT, AI, big data, image processing, smartphone apps).
• Analysis of current and proposed applications in urban disaster management.
• Development of a novel framework integrating big data analytics and AI.

Main Results:

• Disruptive technologies like IoT and AI show significant potential for disaster management.
• Barriers to technology adoption include integration challenges and data management.
• A framework combining big data analytics and AI can enhance disaster preparedness and response.

Conclusions:

• Smart cities can leverage disruptive technologies to build resilient urban environments.
• Addressing technological and implementation gaps is key to successful disaster management.
• Integrated AI and big data approaches offer a promising path for future disaster solutions.