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Geospatial site suitability modeling for US department of defense humanitarian assistance projects
Timothy Clark
author
Rich Curran
author
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
English
The purpose of this paper is to outline the requirement for data-driven methods for determining optimal geographic locations of United States Department of Defense (DOD) Humanitarian Assistance (HA) resources, including disaster mitigation and preparedness projects. HA project managers and tactical implementers charged with cost-efficient deployment of HA resources are challenged to produce measurable effects, in addition to contributing to broader Joint and Interagency-informed security assistance strategies. To address these issues, our ongoing research advocates geospatial multi-criteria site suitability decision support capabilities that leverage 1) existing geospatial resource location-allocation methodology as applied in government, retail, and commercial sectors; 2) user-generated criteria and objective preferences applied in widely-used decision frameworks; 3) assessments of the feasibility of obtaining data at a geographic scale where DOD tactical/operational level users can benefit from the model outputs; and 4) social science theory related to the HA domain criteria that form the foundation of potential decision models.
Analytic hierarchy process
Decision support systems
Disaster prevention
Disaster mitigation
Disaster preparedness
Geo-spatial analysis
Multicriteria decision
Suitability analysis
Information systems
exported from refbase (http://idl.iscram.org/show.php?record=401), last updated on Sun, 09 Aug 2015 05:33:09 +0200
text
http://idl.iscram.org/files/clark/2013/401_Clark+Curran2013.pdf
TimothyClark+RichCurran2013
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2013
T. Comes
F
Fiedrich
editor
10th International ISCRAM Conference on Information Systems for Crisis Response and Management
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
conference publication
463
467
9783923704804
2411-3387
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