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

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 disas...

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Bibliographic Details
Published in:Geosciences (Basel) 2016-06, Vol.6 (2), p.18
Main Authors: Rodríguez-Espíndola, Oscar, Albores, Pavel, Brewster, Christopher
Format: Article
Language:English
Subjects:
Disaster management
Disasters
Earth science
Emergency preparedness
Environmental risk
Flooding
floods
Geographic information systems
geographical information systems
Geography
humanitarian logistics
Remote sensing
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Summary: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.
ISSN:2076-3263
2076-3263
DOI:10.3390/geosciences6020018