A simulation model to enable the optimization of ambulance fleet allocation and base station location for increased patient survival
- Submitting institution
-
University of Durham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 96936
- Type
- D - Journal article
- DOI
-
10.1016/j.ejor.2015.05.040
- Title of journal
- European Journal of Operational Research
- Article number
- -
- First page
- 294
- Volume
- 247
- Issue
- 1
- ISSN
- 03772217
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2015
- URL
-
https://doi.org/10.1016/j.ejor.2015.05.040
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The optimisation and simulation-based approach presented uses real emergency call data (over one million calls) from the London Ambulance Service to demonstrate how optimised ambulance and rapid response allocation plans can lead to significant improvements in patient survival. The research was a collaboration with the London Ambulance Service, who indicated that they found real value in the direct link between potential resource plans and patient survival estimates. Specifically, one finding of the research was that it could potentially save the lives of nine cardiac arrest patients per year.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
