Abstract
AbstractFor the location optimization of several ambulance stations, we outline a multi-criteria integer program to maximize the reached population within different time bounds. This technique is based on a realistic driving time estimation for ambulances on a detailed road network. The results show that, depending on which time bound is more valued, ambulance stations are more likely to be located in urban areas or evenly distributed across the study region. We used this model for real-world studies in Southwest Germany, where several ambulance station locations were optimized simultaneously.
Publisher
Cold Spring Harbor Laboratory
Reference13 articles.
1. Brotcorne, L. , Laporte, G. , Semet, F. (2003). Ambulance location and relocation models. European Journal of Operational Research 147 (3).
2. Improving emergency service in rural areas: a bi-objective covering location model for EMS systems
3. Church, R. ; ReVelle, C. (1974). The maximal covering location problem. In Papers of the Regional Science Association 32 (1).
4. Doerner, K.F. ; Gutjahr, W.J. ; Hartl, R.F. ; Karall, M. ; Reimann, M. (2005). Heuristic Solution of an Extended Double-Coverage Ambulance Location Problem for Austria. In Central European Journal of Operations Research 13 (4).
5. Ehrgott, M. (2005): Multicriteria optimization. 2nd ed. Berlin, New York: Springer.