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Geosciences 2016, 6(2), 18; doi:10.3390/geosciences6020018

GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics

1
Aston Business School, Aston University, Birmingham B4 7ET, UK
2
Data Science Group, Toegepast-Natuurwetenschappelijk Onderzoek (TNO), Soesterberg 3769 DE, The Netherlands
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Ruiliang Pu
Received: 30 December 2015 / Revised: 5 February 2016 / Accepted: 25 February 2016 / Published: 29 March 2016
(This article belongs to the Special Issue Mapping and Assessing Natural Disasters Using Geospatial Technologies)

Abstract

Floods are one of the most dangerous and common disasters worldwide, and these disasters are closely linked to the geography of the affected area. As a result, several papers in the academic field of humanitarian logistics have incorporated the use of Geographical Information Systems (GIS) for disaster management. However, most of the contributions in the literature are using these systems for network analysis and display, with just a few papers exploiting the capabilities of GIS to improve planning and preparedness. To show the capabilities of GIS for disaster management, this paper uses raster GIS to analyse potential flooding scenarios and provide input to an optimisation model. The combination is applied to two real-world floods in Mexico to evaluate the value of incorporating GIS for disaster planning. The results provide evidence that including GIS analysis for a decision-making tool in disaster management can improve the outcome of disaster operations by reducing the number of facilities used at risk of flooding. Empirical results imply the importance of the integration of advanced remote sensing images and GIS for future systems in humanitarian logistics. View Full-Text
Keywords: humanitarian logistics; floods; geographical information systems; disaster management humanitarian logistics; floods; geographical information systems; disaster management
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Rodríguez-Espíndola, O.; Albores, P.; Brewster, C. GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics. Geosciences 2016, 6, 18.

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