Time-Dependent Ambulance Allocation Considering Data Driven Empirically Required Coverage

20 Pages Posted: 31 Jul 2013

See all articles by Dirk Degel

Dirk Degel

Ruhr University of Bochum

Lara Wiesche

Ruhr-University Bochum

Sebastian Rachuba

Ruhr University of Bochum

Brigitte Werners

Ruhr University of Bochum

Date Written: July 30, 2013

Abstract

Empirical studies considering the location and relocation of emergency medical services (EMS) vehicles in an urban region provide important insight into dynamic changes during the day. Within a time period of one day the demand, travel time/speed of ambulances and covered areas change cyclically. Nevertheless, most existing approaches in literature ignore these variations and require a (temporally and spatially) fixed (double) coverage of the planning area. Neglecting these variations and fixation of the coverage could lead to a false estimation of the time dependent fleet size and individual positioning of ambulances. Through extensive data collection, nowadays it is possible to precisely determine the required coverage of demand areas. Based on data driven optimization a new approach is presented, maximizing the flexible, empirically determined required coverage, which has been adjusted for variations due to day-time and site. This coverage prevents the EMS system from unavailability of ambulances due to parallel operations to ensure an improved coverage of the planning area closer to realistic demand. An integer linear programming model is formulated in order to locate and relocate ambulances. Based on a comprehensive case study it is shown, that the approach achieves these objectives and leads to cost savings and improvement in the quality of emergency care.

Keywords: emergency medical services, ambulance location and relocation, time-dependent data, dynamic adaption, multiple-coverage, data-driven optimization

JEL Classification: C6

Suggested Citation

Degel, Dirk and Wiesche, Lara and Rachuba, Sebastian and Werners, Brigitte, Time-Dependent Ambulance Allocation Considering Data Driven Empirically Required Coverage (July 30, 2013). Available at SSRN: https://ssrn.com/abstract=2303663 or http://dx.doi.org/10.2139/ssrn.2303663

Dirk Degel (Contact Author)

Ruhr University of Bochum ( email )

Universitätsstraße 150
Bochum, NRW 44801
Germany

Lara Wiesche

Ruhr-University Bochum ( email )

Universitätsstraße 150
Bochum, NRW 44801
Germany

HOME PAGE: http://www.rub.de/or

Sebastian Rachuba

Ruhr University of Bochum ( email )

Universitätsstraße 150
Bochum, NRW 44801
Germany

Brigitte Werners

Ruhr University of Bochum ( email )

Universitätsstraße 150
Bochum, NRW 44801
Germany

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
239
Abstract Views
1,126
rank
138,994
PlumX Metrics