Integrated Locating of Helicopter Stations and Helipads for Wounded Transfer under Demand Location Uncertainty

Ali Bozorgi-Amiri, University of Tehran and Shayan Tavakoli, University of Tehran and Hossein Mirzaeipour, University of Tehran and Masoud Rabani, University of Tehran (2016) Integrated Locating of Helicopter Stations and Helipads for Wounded Transfer under Demand Location Uncertainty. American Journal of Emergency Medicine, 11 (2016).

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Abstract

Health emergency medical service (HEMS) plays an important role in reducing injuries by providing advanced medical care in the shortest time and reducing the transfer time to advanced treatment centers. In the regions without ground relief coverage, it would be faster to transfer emergency patients to the hospital by a helicopter. In this paper, an integer nonlinear programming model is presented for the integrated locating of helicopter stations and helipads by considering uncertainty in demand points. We assume three transfer modes: (1) direct transfer by an ambulance, (2) transfer by an ambulance to a helicopter station and then to the hospital by a helicopter, (3) transfer by an ambulance to a predetermined point and then to the hospital by a helicopter. We also assume that demands occur in a square-shaped area, in which each side follows a uniform distribution. It is also assumed that demands in an area decrease errors in the distances between each two cities. The purpose of this model is to minimize the transfer time from demand points to the hospital by considering different modes. The proposed model is examined in terms of validity and applicability in Lorestan Province and a sensitivity analysis is also conducted on the total allocated budget. Keywords: Helicopter Emergency Medical Service, Emergency Medical Service, Transfer Point Location Problem, Uncertainty

Item Type: Article
Subjects: R Medicine > R Medicine (General)
Depositing User: samira sepahvandy
Date Deposited: 04 Mar 2017 05:32
Last Modified: 04 Mar 2017 05:32
URI: http://eprints.lums.ac.ir/id/eprint/384

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