A Context-Aware Model to Provide Positioning in Disaster Relief Scenarios

Area of Science:

• Disaster Management
• Geospatial Information Systems
• Mobile Computing

Background:

• Effective disaster relief relies on coordinated first responder activities.
• Coordination requires robust management of geo-referenced information.
• Existing positioning systems like GPS may not be universally available or functional in disaster areas due to infrastructure failure.

Purpose of the Study:

• To develop a context-aware positioning model for first responders in disaster-affected areas.
• To enable mobile devices lacking inherent positioning capabilities to estimate their location.
• To improve the overall effectiveness of disaster response operations through enhanced situational awareness.

Main Methods:

• Development of a context-aware positioning model utilizing surrounding environmental information.
• Simulation-based evaluation of the proposed model's performance.
• Assessment of positioning accuracy for devices without independent capabilities.

Main Results:

• Mobile devices without built-in positioning capabilities successfully estimated their positions using the model.
• The model demonstrated suitable accuracy for most first response activities.
• Simulations confirmed the model's viability in infrastructure-denied environments.

Conclusions:

• The proposed context-aware positioning model significantly enhances the positioning capabilities of first responders in disaster scenarios.
• The model provides a practical solution for utilizing devices without inherent positioning functions, thereby improving operational coordination.
• This advancement contributes to more effective and efficient disaster relief efforts by ensuring critical location data is available.