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Representing the multi-dimensional nature of disaster resilience
Christopher W. Zobel
M.A. Santos, L.S., E. Portela
Although quantitative analytical information systems are an important resource for supporting decision-making in disaster operations management, not all aspects of a disaster situation can be easily quantified. For example, although the concept of the disaster resilience of a community has a technical dimension within which one can measure the resistance of the infrastructure against, and the speed of its recovery from, a disaster event, it also has social, organizational, and economic dimensions within which these characteristics may be more difficult to measure. This work-in-progress paper introduces a quantitative framework within which the multi-dimensional nature of such disaster resilience can be represented in a concise manner. This can help to improve understanding of the complexities associated with the concept, and thus directly support decision-making in disaster operations planning and management.
urn:ISBN:9789724922478
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Representing%20the%20multi-dimensional%20nature%20of%20disaster%20resilience&stitle=ISCRAM%202011&issn=2411-3387&isbn=9789724922478&date=2011&aulast=Christopher%20W.%20Zobel&pub=Information%20Systems%20for%20Crisis%20Response%20and%20Management%2C%20ISCRAM&place=Lisbon&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=1165
citekey:ChristopherW.Zobel2011
citation:Christopher W. Zobel. (2011). Representing the multi-dimensional nature of disaster resilience. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
2011
ConferencePaper
text
Decision making
Flow visualization
Information systems
Community resiliences
Disaster resiliences
Disaster situations
Operations management
Organizational system
Quantitative frameworks
Social systems
Technical dimensions
Disasters
file:http://idl.iscram.org/files/zobel/2011/1165_Zobel2011.pdf
Information Systems for Crisis Response and Management, ISCRAM
English
2411-3387
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011
2011
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