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A Smart Spatial Routing and Accessibility Analysis System for EMS Using Catchment Areas of Voronoi Spatial Model and
1College of Computer Science and Engineering, University of Jeddah, Jeddah 23890, Saudi Arabia.
This study introduces a smart system using Voronoi models and Dijkstra's algorithm for ambulance dispatch. It optimizes emergency medical services (EMS) routing to ensure faster response times and improve patient outcomes.
Area of Science:
- Spatial analysis
- Emergency medical services
- Operations research
Background:
- Equitable access to emergency medical services (EMS) relies on effective catchment area management.
- Time-sensitive decisions in EMS, like ambulance dispatch, have life-or-death consequences.
- Optimizing travel routes for emergency services is a critical challenge.
Purpose of the Study:
- To propose a smart spatial routing and accessibility analysis system for EMS.
- To utilize Voronoi spatial models and time-based Dijkstra's routing algorithm (TDRA) for route analysis.
- To facilitate the dispatch of appropriate EMS units within a reasonable timeframe.
Main Methods:
- Developed a system integrating Voronoi spatial models for catchment areas.
- Implemented the time-based Dijkstra's routing algorithm (TDRA) for optimal route calculation.
- Simulated spatial routing and accessibility analysis for emergency demand points.
Main Results:
- The system successfully predicts and identifies the nearest available ambulance unit within a catchment area.
- It also identifies suitable units in adjacent areas with minimum travel time, considering TDRA.
- Demonstrated improved efficiency in dispatching emergency medical services.
Conclusions:
- The proposed system enhances EMS efficiency through intelligent spatial routing and accessibility analysis.
- Utilizing Voronoi models and TDRA improves the accuracy of ambulance dispatch decisions.
- This approach can significantly reduce emergency response times and potentially save lives.
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