Understanding the challenges in bushfire map use and effective decision-making amongst the Australian public
Rosie Morrison A B * , Erica Kuligowski A B , Paula Dootson B C , Amy L. Griffin A B , Philippa Perry A B , Gita Pupedis A B , Chloe Begg D and Angela Gardner EA
B
C
D
E
Abstract
Bushfire maps are an important tool in public decision-making during bushfire events; however, they are understudied in the global literature.
This study uses qualitative data from three locations in Australia in 2022 and 2023 to understand how maps are used during a bushfire event by members of the public.
The results show that maps provide an array of information during bushfires including information on the bushfire itself, traffic, and the weather. This information helped individuals form risk assessments. However, the trustworthiness and credibility of maps were questioned by participants owing to a lack of perceived timely updates and inconsistency between information sources. Participants expressed a desire for maps to convey more detailed information on the bushfire and related events; however, prior evidence suggests that people may misinterpret complex maps.
This study found that it is important that bushfire maps are updated in a timely manner, clearly display their time and date of issue, and include relevant information, with an understanding that including too much or complex information may be problematic for comprehension.
These findings have implications for how bushfire maps should be designed and disseminated to the public to ensure comprehension.
Keywords: Australia, bushfire, bushfire maps, hazard response, qualitative, wildfires.
References
ABC News (2023) Emergency bushfire warning issued for Dolphin Sands in Tasmania. Available at https://www.abc.net.au/news/2023-11-12/tasmania-fire-dolphin-sands-emergency-warning/103096430 [accessed 3 February 2024]
ACT Emergency Services Agency (2020) Fire Spread Prediction for ACT. Available at https://esa.act.gov.au/fire-spread-prediction-act [accessed 14 February 2024]
Australian Bureau of Statistics (2021) Population. Available at https://www.abs.gov.au/statistics/people/population#:~:text=The%202021%20Census%20counted%2025%2C422%2C788,age%20of%2039%20years%20old [accessed 14 February 2024]
Bowser GC, Cutter SL (2015) Stay or Go? Examining decision making and behavior in hurricane evacuations. Environment: Science and Policy for Sustainable Development 57, 28-41.
| Crossref | Google Scholar |
Cao Y, Boruff BJ, McNeill IM (2016) Is a picture worth a thousand words? Evaluating the effectiveness of maps for delivering wildfire warning information. International Journal of Disaster Risk Reduction 19, 179-196.
| Crossref | Google Scholar |
Cao Y, Boruff BJ, McNeill IM (2017) The smoke is rising but where is the fire? Exploring effective online map design for wildfire warnings. Natural Hazards 88, 1473-1501.
| Crossref | Google Scholar |
Cheong L, Bleisch S, Kealy A, Tolhurst K, Wilkening T, Duckham M (2016) Evaluating the impact of visualization of wildfire hazard upon decision-making under uncertainty. International Journal of Geographical Information Science 30(7), 1377-1404.
| Crossref | Google Scholar |
Clive MAT, Lindsay JM, Leonard GS, Lutteroth C, Bostrom A, Corballis P (2021) Volcanic hazard map visualisation affects cognition and crisis decision-making. International Journal of Disaster Risk Reduction 55, 102102.
| Crossref | Google Scholar |
Cofie N, Braund H, Dalgarno N (2022) Eight ways to get a grip on intercoder reliability using qualitative-based measures. Canadian Medical Education Journal 13(2), 73-76.
| Crossref | Google Scholar | PubMed |
Cohen E, Hughes P, White P (2007) Media and bushfires: a community perspective of the media during the Grampians Fires 2006. Environmental Hazards 7, 88-96.
| Crossref | Google Scholar |
Dallo I, Stauffacher M, Marti M (2020) What defines the success of maps and additional information on a multi-hazard platform? International Journal of Disaster Risk Reduction 49, 101761.
| Crossref | Google Scholar |
Dootson P, Kuligowski E, Greer DA, Miller SA, Tippett V (2022a) Consistent and conflicting information in floods and bushfires impact risk information seeking, risk perceptions, and protective action intentions. International Journal of Disaster Risk Reduction 70, 102774.
| Crossref | Google Scholar |
Evans SD, Broad K, Cairo A, Majumdar SJ, McNoldy BD, Millet B, Rauk L (2022) An interdisciplinary approach to evaluate public comprehension of the ‘Cone of Uncertainty’ graphic. Bulletin of the American Meteorological Society 103(10), E2214-E2221.
| Crossref | Google Scholar |
Houston D, Cheung W, Basolo V, Feldman D, Matthew R, Sanders FB, Karlin B, Jochen ES, Kristen AG, Contreras S, Luke A (2019) The influence of hazard maps and trust of flood controls on coastal flood spatial awareness and risk perception. Environment and Behaviour 51(4), 347-371.
| Crossref | Google Scholar |
Jalaludin B, Morgan GG (2021) What does climate change have to do with bushfires? Australian Health Review 45(1), 4-6.
| Crossref | Google Scholar | PubMed |
Kulemeka O (2015) A review of wildland fire smartphone applications: a classification study from Australia, USA, Canada and South Africa. International Journal of Emergency Services 4(2), 258-270.
| Crossref | Google Scholar |
Kuligowski E, Perry P, Pupedis G, Griffin A, Mondel-McCann N, Begg C, Dootson P, Gardner A, Neale T, Dwyer G (2023) ‘Predictions in public: using qualitative data to understand the design, communication and dissemination of predictive maps to the public.’ (Natural Hazards Research Australia: Melbourne)
Lavigne F, Morin J, Mei ETW, Calder ES, Usamah M, Nugroho U (2017) Mapping Hazard Zones, Rapid Warning Communication and understanding communities: primary ways to mitigate pyroclastic flow hazard. In ‘Observing the Volcano World. Advances in Volcanology: An Official Book Series of the International Association of Volcanology and Chemistry of the Earth’s Interior’. (Eds CJ Fearnley, DK Bird, K Haynes, WJ McGuire, G Jolly) pp. 107–119. (Springer International: Cham, Switzerland)
Lindell MK (2018) Communicating imminent risk. In ‘Handbooks of Sociology and Social Research’. (Eds H Rodríguez, W Donner, J Trainor) pp. 449–477. (Springer: Cham, Switzerland) 10.1007/978-3-319-63254-4_22
Lindell MK (2020) Improving hazard map comprehension for protective action decision making. Frontiers of Computer Science 2, 27.
| Crossref | Google Scholar |
Lindell MK, Perry RW (2012) The Protective Action Decision Model: theoretical modifications and additional evidence. Risk Analysis 32(4), 616-632.
| Crossref | Google Scholar | PubMed |
MacPherson-Krutsky C, Brand BD, Lindell MK (2020) Does updating natural hazard maps to reflect best practices increase user comprehension of risk? International Journal of Disaster Risk Reduction 46, 10148.
| Crossref | Google Scholar |
Morss RE, Hayden MH (2010) Storm surge and ‘certain death’: interviews with Texas coastal residents following Hurricane Ike. Weather, Climate and Society 2, 174-189.
| Crossref | Google Scholar |
Mortensen TM, Hull K, Boling KS (2017) Really social disaster: an examination of photo sharing on Twitter during the #SCFlood. Visual Communication Quarterly 24(4), 219-229.
| Crossref | Google Scholar |
National Hurricane Center [@NHC_Atlantic] (2024) [Tweet]. Available at https://twitter.com/NHC_Atlantic/status/1810328019653079072/photo/1 [accessed 30 July 2024]
Ogburn SE, Charlton D, Norgaard D, Wright HM, Calder ES, Lindsay J, Ewert J, Takarada S, Tajima Y (2023) The Volcanic Hazard Maps Database: an initiative of the IAVCEI Commission on Volcanic Hazards and Risk. Journal of Applied Volcanology 12, 2.
| Crossref | Google Scholar |
Padilla LM, Ruginski IT, Creem-Regehr SH (2017) Effects of ensemble and summary displays on interpretations of geospatial uncertainty data. Cognitive Research: Principles and Implications 2, 40.
| Crossref | Google Scholar | PubMed |
Rollason E, Bracken LJ, Hardy RJ, Large ARG (2018) Rethinking flood risk communication. Natural Hazards 92, 1665-1686.
| Crossref | Google Scholar |
Ruginski IT, Boone A, Padilla LM, Liu L, Heydari N, Kramer HS, Hegarty M, Thompson WB, House DH, Creem-Regehr SH (2016) Non-expert interpretations of hurricane forecast uncertainty visualizations. Spatial Cognition and Computation 16(2), 154-172.
| Crossref | Google Scholar |
Santana FN, Gonzalez DJ, Wong-Parodi G (2021) Psychological factors and social processes influencing wildfire smoke protective behavior: insights from a case study in northern California. Climate Risk Management 34, 100351.
| Crossref | Google Scholar |
Steelman TA, McCaffrey SM, Velez ALK, Briefel JA (2015) What information do people use, trust, and find useful during a disaster? Evidence from five large wildfires. Natural Hazards 76, 615-634.
| Crossref | Google Scholar |
Stieb DM, Huang A, Hocking R, Crouse DL, Osornio-Vargas AR, Villeneuve PJ (2019) Using maps to communicate environmental exposures and health risks: review and best-practice recommendations. Environmental Research 176, 108518.
| Crossref | Google Scholar | PubMed |
Strahan K, Watson SJ (2018) The protective action decision model: when householders choose their protective response to wildfire. Journal of Risk Research 22(12), 1602-1623.
| Crossref | Google Scholar |
Strahan K, Whittaker J, Handmer J (2018) Self-evacuation archetypes in Australian bushfire. International Journal of Disaster Risk Reduction 27, 307-316.
| Crossref | Google Scholar |