Comparison of static ambulance location models

Pieter van den Berg, Theresia van Essen, Eline Harderwijk

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

8 Citations (Scopus)

Abstract

Over the years, several ambulance location models have been discussed in the literature. Most of these models have been further developed to take more complicated situations into account. However, the existing standard models have never been compared computationally according to the criteria used in practice. In this paper, we compare several ambulance location models on coverage and response time criteria. In addition to four standard ambulance location models from the literature, we also present two models that focus on average and expected response times. The computational results show that the Maximum Expected Covering Location Problem (MEXCLP) and the Expected Response Time Model (ERTM) perform the best over all considered criteria. However, as the computation times for ERTM are long, we advice to use the
MEXCLP except when response times are more important than coverage.
Original languageEnglish
Title of host publication3rd International Conference on Logistics Operations Management
EditorsAhmed El Hilali Alaoui, Youssef Benadada, Jaouad Boukachour
PublisherIEEE
Pages1-10
Number of pages10
ISBN (Electronic)978-1-4673-8571-8
DOIs
Publication statusPublished - 2016
Event3rd International Conference on Logistics Operations Management - Fes, Morocco
Duration: 23 May 201625 May 2016

Conference

Conference3rd International Conference on Logistics Operations Management
Abbreviated titleGOL '16
CountryMorocco
CityFes
Period23/05/1625/05/16

Keywords

  • Time factors
  • Computational modeling
  • Standards
  • Linear programming
  • Medical services
  • Delays
  • Reliability

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