Community perceptions of bushfire maps across Australia and where to next | Natural Hazards Research Australia

Community perceptions of bushfire maps across Australia and where to next

Community perceptions of bushfire maps across Australia and where to next

Research theme

Resilient communities

Publication type

Conference Paper

Published date

10/2023

Author Paula Dootson
Abstract

Research in Australia has been conducted on the public’s response to risk and warning communication (Dootson et al. 2019; 2021), however, less research effort has focused exclusively on the efficacy of bushfire maps in the public information and warnings milieu (e.g., Cao et al., 2016;2017; Whittaker et al., 2020). This research addresses that gap with a nation-wide survey of N= 3,007 community members in Australia funded by Natural Hazards Research Australia (see Begg et al., 2022). The survey examines community comprehension of, and intended actions prompted by, 14 bushfire maps, supplied by emergency services agencies. Drawing on the Protective Action and Decision-Making Model (PADM; Lindell and Perry 2012), this research specifically examines the extent to which the community are exposed to bushfire maps, how well they grab attention, the extent to which the community comprehend what the map is communicating about the hazard and the associated risk. Further, the research seeks to understand the extent to which a map can signal threat and inform protective action perceptions. These perceptions then form the basis for decisions about how to respond to an imminent or long-term bushfire threat. The outcome of the PADM process, together with situational facilitators and impediments, produces a behavioural response from the community comprising further information searching, emotion-focused coping, and or protective action (Lindell & Perry, 2012).

Year of Publication
2023
Conference Name
AFAC23
Date Published
10/2023
Publisher
AFAC
Conference Location
Sydney
Locators Google Scholar

Related projects

Project
Predictions in public: understanding the design, communication and dissemination of predictive maps to the public