A process-driven and need-oriented framework for review of technological contributions to disaster management

Area of Science:

• Disaster Management
• Technology Assessment
• Computer Vision

Background:

• Increasing frequency and intensity of natural disasters necessitate innovative technological solutions.
• Lack of a collaborative framework hinders efficient disaster management.
• Need for a common taxonomy and interpretation of disaster management constraints for effective technology development.

Purpose of the Study:

• To propose a process-driven, need-oriented framework for reviewing technology-based disaster management contributions.
• To integrate technological advancements with disaster management activities for better literature analysis.
• To identify requirements and constraints across disaster management phases.

Main Methods:

• Development of a novel framework for classifying and analyzing technology in disaster management.
• Systematic review of disruptive technologies using the proposed framework.
• Analysis of literature to identify trends in disaster management requirements and constraints.

Main Results:

• A framework is proposed to bridge technological contributions and disaster management activities.
• Basic requirements and constraints for each disaster management phase are identified.
• Trends in technology application across disaster management phases are highlighted.

Conclusions:

• The proposed framework facilitates a structured review of technology in disaster management.
• Computer vision presents significant future potential in various disaster management activities.
• Interdisciplinary collaboration and standardized frameworks are crucial for advancing disaster management technologies.