Journal
MANAGEMENT SCIENCE
Volume 56, Issue 4, Pages 716-723Publisher
INFORMS
DOI: 10.1287/mnsc.1090.1142
Keywords
ambulance service; probability-of-coverage map; nonparametric; travel
Funding
- Canadian Natural Sciences and Engineering Research Council [203534-07]
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Using administrative data for high-priority calls in Calgary, Alberta, we estimate how ambulance travel times depend on distance. We find that a logarithmic transformation produces symmetric travel-time distributions with heavier tails than those of a normal distribution. Guided by nonparametric estimates of the median and coefficient of variation, we demonstrate that a previously proposed model for mean fire engine travel times is a valid and useful description of median ambulance travel times. We propose a new specification for the coefficient of variation, which decreases with distance. We illustrate how the resulting travel-time distribution model can be used to create probability-of-coverage maps for diagnosis and improvement of system performance.
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