1.1
1
xml
info:srw/schema/1/mods-v3.2
Clustering scenarios using cross-impact analysis
Victor A. Bañuls
author
Murray Turoff
author
Joaquin Lopez
author
2010
Information Systems for Crisis Response and Management, ISCRAM
Seattle, WA
English
Scenarios are frequently used in Emergency Planning and Preparedness. These scenarios are developed based on the hypothesis of occurrence or not of significant events. This is a complex process because of the interrelations between events. This fact, along with the uncertainty about the occurrence or non-occurrence of the events, makes the scenario generation process a challenging issue for emergency managers. In this work a new step-by-step model for clustering scenarios via cross-impact is proposed. The authors. proposal adds tools for detecting critical events and graphical representation to the previous scenario-generation methods based on Cross-Impact Analysis. Moreover, it allows working with large sets of events without using great computational infrastructures. These contributions are expected to be useful for supporting the analysis of critical events and risk assessment tasks in Emergency Planning and Preparedness. Operational issues and practical implications of the model are discussed by means of an example.
Risk analysis
Risk assessment
Computational infrastructure
Cross-impact analysis
Emergency preparedness
Graphical representations
Interpretive structural modeling
Operational issues
Scenario generation
Scenarios
Information systems
exported from refbase (http://idl.iscram.org/show.php?record=286), last updated on Sat, 08 Aug 2015 12:11:17 +0200
text
http://idl.iscram.org/files/banuls/2010/286_Banuls_etal2010.pdf
VictorA.Banuls_etal2010
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings
ISCRAM 2010
S. French
B
Tomaszewski
editor
7th International ISCRAM Conference on Information Systems for Crisis Response and Management
2010
Information Systems for Crisis Response and Management, ISCRAM
Seattle, WA
conference publication
2411-3387
1