Efficient scenario updating in emergency management

Emergency managers need to assess, combine and process large volumes of information with varying degrees of (un)certainty. To keep track of the uncertainties and to facilitate gaining an understanding of the situation, the information is combined into scenarios: stories about the situation and its development. As the situation evolves, typically more information becomes available and already acknowledged information is changed or revised. Meanwhile, decision-makers need to keep track of the scenarios including an assessment whether the information constituting the scenario is still valid and relevant for their purposes. Standard techniques to support scenario updating usually involve complete scenario re-construction. This is far too time-consuming in emergency management. Our approach uses a graph theoretical scenario formalisation to enable efficient scenario updating. MCDA techniques are employed to decide whether information changes are sufficiently important to warrant scenario updating. A brief analysis of the use-case demonstrates a large gain in efficiency.

[1]  Rebecca A. Kelly,et al.  A formal framework for scenario development in support of environmental decision-making , 2009, Environ. Model. Softw..

[2]  T. Stewart Simplified approaches for multicriteria decision making under uncertainty , 1995 .

[3]  William R. Huss,et al.  A move toward scenario analysis , 1988 .

[4]  Bartel Van de Walle,et al.  Decision support for emergency situations , 2008, Inf. Syst. E Bus. Manag..

[5]  Barry M. Staw,et al.  Threat-rigidity effects in organizational behavior: A multilevel analysis. , 1981 .

[6]  Martina Comes,et al.  Decision Maps for Distributed Scenario-Based Multi-Criteria Decision Support , 2011 .

[7]  Rafael A. Gonzalez,et al.  A Framework Linking Information Quality Dimensions and Coordination Challenges during Interagency Crisis Response , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[8]  Randall L. Oser,et al.  Training teams for emergency management , 2001, Comput. Hum. Behav..

[9]  P. Schoemaker MULTIPLE SCENARIO DEVELOPMENT: ITS CONCEPTUAL AND BEHAVIORAL FOUNDATION , 1993 .

[10]  Michael Shaw,et al.  Managing Coordination in Emergency Response Systems with Information Technologies , 2004, AMCIS.

[11]  K. WeiK. The Collapse of Sensemaking in Organizations: The Mann Gulch Disaster , 2009, STUDI ORGANIZZATIVI.

[12]  Ralph L. Keeney,et al.  Value-Focused Thinking , 1996 .

[13]  Selwyn Piramuthu,et al.  Knowledge-based scenario management - Process and support , 2010, Decis. Support Syst..

[14]  Michael Hiete,et al.  Decision maps: A framework for multi-criteria decision support under severe uncertainty , 2011, Decis. Support Syst..

[15]  Basit Shafiq,et al.  Approach for Discovering and Handling Crisis in a Service-Oriented Environment , 2007, 2007 IEEE Intelligence and Security Informatics.

[16]  George Wright,et al.  Teaching scenario planning: Lessons from practice in academe and business , 2009, Eur. J. Oper. Res..

[17]  Frank Fiedrich,et al.  Agent-based systems for disaster management , 2007, Commun. ACM.

[18]  João Miguel da Costa Sousa,et al.  Decision tree search methods in fuzzy modeling and classification , 2007, Int. J. Approx. Reason..

[19]  Michael Hiete,et al.  Enhancing Robustness in Multi-criteria Decision-Making: A Scenario-Based Approach , 2010, 2010 International Conference on Intelligent Networking and Collaborative Systems.

[20]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[21]  Lawrence Wai-Choong Wong,et al.  A context realization framework for ubiquitous applications with runtime support , 2011, IEEE Communications Magazine.

[22]  Michael Hiete,et al.  An intelligent decision support system for decision making under uncertainty in distributed reasoning frameworks , 2010, ISCRAM.

[23]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[24]  Mihnea Scafes,et al.  Dynamic Process Integration Framework: Toward Efficient Information Processing in Complex Distributed Systems , 2010, Informatica.

[25]  Dirk Helbing,et al.  Managing Complexity in Socio-Economic Systems* , 2009, European Review.

[26]  R. G. Pascual Tools for capturing and training shared understanding in teams , 1999 .