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Exploring the Spatial Perception of Risk in Portugal by Students of Geography

Bibliographic Data

ID21348699
AuthorsAdélia Nunes (0000-0001-8665-4459, University of Coimbra), Bia Martins (0000-0001-8681-2349, Centre of Studies in Geography and Spatial Planning, University of Coimbra, Coimbra, Portugal, corresponding author), Maria Azevedo (0000-0003-3100-6168, ISCE DOURO, NITCE, Penafiel, Portugal), Maria Lopes de Azevedo (0000-0001-9952-4979)
Year2020
Volume119
Issue5
Pages171-182
Publication date2020-09-02
Open AccessNo
TypeARTICLE
VenueJournal of Geography (JOURNAL)
Journal identifiersISSN: 0022-1341 • E-ISSN: 1752-6868
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00221341.2020.1801803
OpenAlexW3048593211
LanguageEN
Citations received1
References cited37

This study set out to assess the ability of year nine students to identify and classify the most likely natural and mixed risks, both on a national scale and within the Metropolitan Area of Porto (AMP). We also sought to assess the respective spatial perception of different risks at regional level. For this purpose, a questionnaire was applied and the results show that the students classified the risk of forest fire as the most likely to occur, both nationwide and in all AMP municipalities, with a rating ranging from high to moderate, respectively. In spatial terms, they clearly define the areas most vulnerable to each of the listed risks, identifying forest fires and heat waves as most likely to occur, and the northern and coastal regions of Portugal where the greatest number of risks are concentrated

Archaeology · Cartography · Geography · Metropolitan area · Perception · Physical geography · Risk perception · Scale (ratio) · Disaster Management and Resilience · Flood Risk Assessment and Management · Psychology · Risk Perception and Management

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    Tara K Mcgee, Stefanie L Russell•Environmental Hazards•2003

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  • Coefficient alpha and the internal structure of tests

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Citations per year0.33
Citation span2023 - 2023 (1)
Highly citedNo

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