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Modelling the complexity of the network of interactions in flood emergency management: The Lorca flash flood case

Giordano, R; Pagano, A; Pluchinotta, I; del Amo, RO; Hernandez, SM; Lafuente, ES; (2017) Modelling the complexity of the network of interactions in flood emergency management: The Lorca flash flood case. Environmental Modelling & Software , 95 pp. 180-195. 10.1016/j.envsoft.2017.06.026. Green open access

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Abstract

There is growing awareness that fast response to emergency situation requires effective coordination among several institutional and non-institutional actors. The most common approaches, based on innovating technologies for information collection and management, are not sufficient to cope with the increasing complexity of emergency management. This work demonstrates that effective cooperation claims for a shift from information management to interaction management. Therefore, methods and tools are required in order to better understand the complexity of the interactions taking place during an emergency, and to analyse the actual roles and responsibilities of the different actors. This paper details the design and implementation of an integrated approach aiming to unravel the complexity of the interaction network based on Storytelling, the Problem Structuring Method, and Social Network Analysis. The potential of the integrated approach has been investigated in the Lorca (Spain) flood risk management case study.

Type: Article
Title: Modelling the complexity of the network of interactions in flood emergency management: The Lorca flash flood case
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.envsoft.2017.06.026
Publisher version: http://dx.doi.org/10.1016/j.envsoft.2017.06.026
Language: English
Additional information: © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Emergency management, Social network analysis, Participatory modelling, Problem structuring method, Flood risk
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10099519
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