Horita, Flávio E.A., Albuquerque, João Porto de and Marchezini, Victor (2018) Understanding the decision-making process in disaster risk monitoring and early-warning : a case study within a control room in Brazil. International Journal of Disaster Risk Reduction, 28 . pp. 22-31. doi:10.1016/j.ijdrr.2018.01.034 ISSN 2212-4209.

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Abstract

The tasks of disaster risk monitoring and early warning are an important means of improving the efficiency of disaster response and preparedness. However, although the current works in this area have sought to provide a more accurate and better technological infrastructure of systems to support these tasks, they have failed to examine key features that may affect the decision-making. In light of this, this paper aims to provide an understanding of the decision-making process in control rooms for disaster risk monitoring and early warning. This understanding is underpinned by a conceptual framework, which has been developed in this work and describes factors that influence the decision-making. For doing so, data were collected through a series of semi-structured interviews and participatory observations and later evaluated with members of the control room of the Brazilian Center for Monitoring and Early Warning of Natural Disasters (Cemaden). The study findings provided a solid basis for designing the conceptual framework of the essential factors required by the decision-makers. These factors are separated into two groups: 1) the “dimensions” of decision-making (i.e., the type of hazard, the phase of the disaster risk, the location, and area of expertise of the operators) and the “pillars” of decision-making (i.e., the tasks, their required information, useful data sources, and the decision rule). Finally, the contributions achieved in this study may help operators to understand and propose proactive measures that could improve their decision-making, overcome uncertainties, standardize the team's decision-making, and put less pressure on operators.

Item Type:	Journal Article
Subjects:	H Social Sciences > HV Social pathology. Social and public welfare
Divisions:	Faculty of Social Sciences > Centre for Interdisciplinary Methodologies
Library of Congress Subject Headings (LCSH):	Disasters, Emergency management -- Brazil, Natural disaster warning systems -- Brazil, Disaster relief, Decision-making, Control rooms
Journal or Publication Title:	International Journal of Disaster Risk Reduction
Publisher:	Elsevier
ISSN:	2212-4209
Official Date:	June 2018
Dates:	Date Event June 2018 Published 28 January 2018 Accepted
Volume:	28
Page Range:	pp. 22-31
DOI:	10.1016/j.ijdrr.2018.01.034
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Date of first compliant deposit:	22 February 2018
Date of first compliant Open Access:	23 February 2018
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID Global Challenges Research Fund Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 UNSPECIFIED Warwick Brazil Partnership Fund UNSPECIFIED Santander Universities Banco Santander http://dx.doi.org/10.13039/100010784 88887.091744/2014-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior http://dx.doi.org/10.13039/501100002322 300715/2017-0 Conselho Nacional de Desenvolvimento Científico e Tecnológico http://dx.doi.org/10.13039/501100003593 2017/09889-1 Fundação de Amparo à Pesquisa do Estado de São Paulo http://dx.doi.org/10.13039/501100001807 Excellence Initiative II/Action 7 Universität Heidelberg http://dx.doi.org/10.13039/501100001661
Related URLs:	Related dataset

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