Name
Abstract | ||
|---|---|---|
•We use a Bayesian method to estimate the distribution of ambulance travel times between any two locations in a city.•Our method is parsimonious and computationally tractable for large datasets.•Ambulance travel times do not vary substantially throughout the day, in contrast to standard vehicles.•Our travel time estimates outperform a recently-published method and a commercial software package.•Our method leads to different ambulance management decisions, compared to the recently-published method. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.ejor.2016.01.004 | European Journal of Operational Research |
Keywords | Field | DocType |
Transportation,Traffic,OR in health services,Travel time estimation,Markov chain Monte Carlo | Names of the days of the week,Regression,Markov chain Monte Carlo,Commercial software,Location data,Global Positioning System,Travel time,Fleet management,Operations management,Mathematics | Journal |
Volume | Issue | ISSN |
252 | 1 | 0377-2217 |
Citations | PageRank | References |
3 | 0.46 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bradford Westgate | 1 | 9 | 1.28 |
| Dawn B. Woodard | 2 | 91 | 4.82 |
| David S. Matteson | 3 | 13 | 5.08 |
| Shane G. Henderson | 4 | 868 | 120.87 |