219. Heuristc algorithms with GIS for the ambulance location problem
Contributed abstract in session TD-5: Ambulance Management, stream Regular talks.
Tuesday, 16:00-17:30Room: Room S6
Authors (first author is the speaker)
| 1. | Fulgencia Villa
|
| Department of Applied Statistics, Operations Research and Quality, Universitat Politecnica de Valencia | |
| 2. | Eva Vallada
|
| Estadística e Investigación Operativa Aplicadas y Calidad, Universidad Politécnica de Valencia | |
| 3. | Miguel Ángel
|
| Statistics, UPV | |
| 4. | Yulia Karpova
|
| Universitat Politècnica de València |
Abstract
The rapid intervention of ambulances when an emergency arises is of vital importance for the well-being and health of the people. The Static Ambulance Location Problem consists of determining the optimal location of emergency vehicles maximizing service coverage and its quality. A novel hybrid methodology is presented, merging Geographic Information Systems and the Greedy heuristic. The methodology is applied to a real-life case in the province of Valencia, Spain. In addition, a graphical tool is used that allows for a global visualization of the impact of different demographic and territorial characteristics. The results show that thanks to this methodology, it is possible to increase the percentage of the population covered compared to the current situation by optimizing the location of ambulances.
Keywords
- Ambulance management
- Optimization algorithms
Status: accepted
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