Abstract Background This paper deals with the location of emergency medical stations where ambulances waiting to be dispatched are parked. The literature reports a lot mathematical programming models used optimize station locations. Most studies evaluate only analytically applying same simplifying assumptions that were in modelling phase. In addition, they concentrate on systems operating one t...

Received Feb 14, 2017 Revised May 30, 2017 Accepted Aug 11, 2017 Ambulance location is one of the critical factors that determine the efficiency of emergency medical services delivery. Maximal Covering Location Problem is one of the widely used ambulance location models. However, its coverage function is considered unrealistic because of its ability to abruptly change from fully covered to unco...

In this paper, a model is presented to locate ambulances, considering backup facility (to increase reliability) and the restriction of ambulance capacity. This model is designed for emergencies. In this model the covered demand for each demand point depends on the number of coverage times and the amount of demand. The demand amount and ambulance coverage radius are considered...

(2012) Exposure to hot and cold temperatures and ambulance attendances in Brisbane, Australia: A time series study. BMJ Open, 2(4). Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: Article focus: • To examine the relationship betwe...

Introduction: Reports indicate that 22%–64% of travelers experience some illness when in a foreign country. To date, no prior study has reported the use of ambulances by travelers or the epidemiology of travel-related injury. Methods: In this retrospective study, we aimed to describe ambulance use by international travelers, including the rates of travel-...

We propose a regression approach for estimating the distribution of ambulance travel times between any two locations in a road network. Our method uses ambulance location data that can be sparse in both time and network coverage, such as Global Positioning System data. Estimates depend on the path traveled and on explanatory variables such as the time of day and day of week. By modeling at the ...

Estimates of ambulance travel times on road networks are critical for effective ambulance base placement and real-time ambulance dispatching. We introduce new methods for estimating the distribution of travel times on each road segment in a city, using Global Positioning System (GPS) data recorded during ambulance trips. Our preferred method uses a Bayesian model of the ambulance trips and GPS ...