 A minimum expected response model: Formulation, heuristic solution, and applicationHari K. Rajagopalan and Cem Saydam Socio-Economic Planning Sciences, 2009, vol. 43, issue 4, 253-262 Abstract: Responding to true emergencies in the shortest possible time saves lives, prevents permanent injuries and reduces suffering. Most covering models consider an emergency cover if an ambulance is available within a given time or distance threshold. From a modeling perspective, shorter or longer responses within this threshold are all tallied as covered; conversely, the emergencies immediately outside the threshold are considered uncovered. However, if the shorter responses are given more weight along with the volume of such incidents, while still meeting system-wide coverage requirements, both customers and providers can benefit from reduced response times. We formulate a model to determine the locations for a given set of ambulances to minimize the system-wide expected response distances while meeting coverage requirements. We solve the model with a heuristic search algorithm and present computational and comparative statistics using data from an existing Emergency Medical Services agency. Keywords: Location; problem; Emergency; response; Hypercube; model; Healthcare; services (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:43:y:2009:i:4:p:253-262 Access Statistics for this article Socio-Economic Planning Sciences is currently edited by Barnett R. Parker More articles in Socio-Economic Planning Sciences from Elsevier |
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