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Models of best practice in flood risk communication and management

Bibliographic Data

ID12962889
AuthorsDavid Demeritt (0000-0002-2030-0807, King's College London, corresponding author), Sébastien Nobert (0000-0002-9282-8184, King's College London)
Year2014
Volume13
Issue4
Pages313-328
Publication date2014-06-09
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueEnvironmental Hazards (JOURNAL)
Journal identifiersISSN: 1878-0059 • E-ISSN: 1747-7891
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/17477891.2014.924897
OpenAlexW2051461034
LanguageEN
Citations received41
References cited94

Risk communication plays an increasingly central role in flood risk management, but there is a variety of conflicting advice about what does – and should – get transmitted, why, how, and to whom. The aim of this paper is to elucidate the underlying normative and conceptual models on which those competing assessments of ‘good’ risk communication depend. To that end, the paper identifies four broad models, or approaches, to risk communication: a risk message model of information transfer; a risk instrument model of behavioural change; a risk dialogue model of participatory deliberation; and a risk government model of self-regulation and normalization. These models differ in their theoretical and disciplinary origins and associated philosophical and political commitments, and consequently they define the basic purpose, practice, and future prospects of flood risk communication in quite different ways. Unless these different models of ‘good’ risk communication are acknowledged and understood, efforts to identify best practice for flood risk management are likely to produce inconsistent, if not contradictory, recommendations

Business · Citizen journalism · Computer security · Conceptual model · Deliberation · Economics · Flood myth · Geography · Management science · Normative · Political science · Politics · Public relations · Risk analysis (engineering · Risk assessment · Risk communication · Risk management · Variety (cybernetics · Computer Science · Disaster Management and Resilience · Flood Risk Assessment and Management · Risk Perception and Management

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Unique citing works41
Citations per year3,42
Citation span2014 - 2026 (13)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 41
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