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Beyond Early: Decision Support for Improved Typhoon Warning Systems

Comes, Tina; Mayag, Brice; Negre, Elsa (2015), Beyond Early: Decision Support for Improved Typhoon Warning Systems, in Palen, L.; Buscher, M.; Comes, T.; Hughes, A., Proceedings of the 12th International Conference on Information Systems for Crisis Response and Management, ISCRAM Proceedings

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Type
Communication / Conférence
Date
2015
Conference title
12th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2015
Conference date
2015-05
Conference city
Kristiansand
Conference country
Norway
Book title
Proceedings of the 12th International Conference on Information Systems for Crisis Response and Management
Book author
Palen, L.; Buscher, M.; Comes, T.; Hughes, A.
Publisher
ISCRAM Proceedings
ISBN
9788271177881
Metadata
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Author(s)
Comes, Tina

Mayag, Brice
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Negre, Elsa
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
Warnings can help prevent damage and harm if they are issued timely and provide information that help responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks, or issue early warnings. In this paper we analyze the different systems in the light of the initial decisions that need to be made in the response to sudden onset disasters. We outline challenges of current practices and methods, and provide an agenda for future research.To illustrate our approach, we present a case study of Typhoon Haiyan. Although meteorological services had issued warnings; relief goods were prepositioned; and responders predeployed, the delivery of aid was delayed in some of the worst hit regions. We argue for an integrated consideration of preparedness and response to provide adequate thresholds for early warning systems that focus on decision-makers needs.
Subjects / Keywords
Crisis management; Early warning systems; decision support; vulnerability assessment; indicator framework; Typhoon Haiyan; disaster response

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