Exploring the spatial dimension of community-level flood risk perception: a cognitive mapping approach. (1st October 2016)

• Record Type: Journal Article
• Authors: Brennan, Michael; O'Neill, Eoin; Brereton, Finbarr; Dreoni, Ilda; Shahumyan, Harutyun
• Is Part Of: Environmental hazards. Volume 15:Number 4(2016)
• Page Start: 279
• Page End: 310
• Publication Date: 2016-10-01
• Subjects: Cognitive maps -- risk perception -- boundary analysis -- flooding; Environmental disasters -- Periodicals; Environmental disasters -- Prevention -- Periodicals; Natural disasters -- Periodicals; Natural disasters -- Prevention -- Periodicals; Environmental protection -- Periodicals; 363.7005
• DOI: 10.1080/17477891.2016.1202807
• Languages: English
• ISSNs: 1747-7891

Abstract

ABSTRACT: Environmental perceptions are central to individuals' behavioural interactions with the environment. Cognitive maps, portraying a spatial representation of an individual's environmental perception, can be aggregated to gain insight into the collective environmental perception of groups and populations. This paper uses cognitive mapping techniques to examine one aspect of environmental perception, flood risk perception, within a residential population ( n = 305). Flood risk perception was examined for the whole sample and six subgroup pairs. Using subgroups allowed examination of how factors previously shown to influence flood risk perception influence the cognitive map production in this population. We use a novel technique (slope analysis) to examine how the population's perception of flood risk compares with expert assessments of flood risk, and compare the results of this novel technique with a commonly used cognitive map analysis technique (majority threshold method). Both methods identify areas where there is consensus within the population as to which areas are at risk of flooding. However, slope analysis usefully identifies areas where the population's perception of flood risk lacks consensus, and is at odds with expert assessments of flood risk, without the loss of information inherent in the majority threshold method. Thus, this technique provides a novel approach to studies of environmental perception that can be widely applied within many fields.