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Mapping Mental Representations of Industrial Risk

Illustrated with the Populations of the Estuary of the Seine River, France

Bibliographic Data

ID14701114
AuthorsEmmanuel Bonnet (0000-0001-6735-5330, UMR IDEES CNRS / University of Caen / Caen / France, corresponding author), Marion Amalric (0000-0002-5590-6729, UMR CITERES CNRS / University of Tours / Tours / France), Morgane Chevé (EDEHN / University of Le Havre / Le Havre / France)
Year2014
Volume49
Issue2
Pages102-113
Publication date2014-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/carto.49.2.1393
OpenAlexW1967777696
LanguageEN
Citations received2
References cited11

This article uses both qualitative and quantitative methods to study the representations of risk produced by the inhabitants of an area exposed to industrial risk. The methodologies used are intended to bring to light perceptions, thoughts, opinions, and sensitivities, whether conscious or subconscious, and thus are subject to the normal precautions of the human and social sciences. If interviews give the researcher information on respondents' knowledge of risk or degree of worry, other media can provide complementary and sometimes even contradictory information. Mental maps are a part of the methodological arsenal that goes beyond the medium of language and allows a spatial approach to the study of representations of risk. Using mental maps in association with geographic information systems allows us to understand the spatial differentiation of the representations of risk

Cognition · Data science · Geography · Library science · Mental mapping · Mental representation · Perception · Subconscious · Subject (documents · Worry · Cognitive Science and Mapping · Computer Science · French Urban and Social Studies · Medicine · Psychology · Social Psychology · Social Representations and Identity

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Unique citing works2
Citations per year0,22
Citation span2017 - 2017 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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