'Any prediction is better than none'? A study of the perceptions of fire behaviour analysis users in Australia Neale, Timothy, Vergani, Matteo, Begg, C, Kilinc, M, Wouters, M and Harris, S 2021, 'Any prediction is better than none'? A study of the perceptions of fire behaviour analysis users in Australia, International Journal of Wildland Fire, vol. 30, no. 12, pp. 946-953, doi: 10.1071/WF21100. Attached Files Name Description MIMEType Size Downloads Title 'Any prediction is better than none'? A study of the perceptions of fire behaviour analysis users in Australia Author(s) Neale, Timothy orcid.org/0000-0003-4703-5801 Vergani, Matteo orcid.org/0000-0003-0546-4771 Begg, C Kilinc, M Wouters, M Harris, S Journal name International Journal of Wildland Fire Volume number 30 Issue number 12 Start page 946 End page 953 Total pages 8 Publisher CSIRO Publishing Place of publication Melbourne, Vic. Publication date 2021 ISSN 1049-8001 1448-5516 Keyword(s) Australia decision making DECISION-MAKING fire management fire management modelling Forestry INFORMATION Life Sciences & Biomedicine MANAGEMENT planning predictive services PREFERENCES RISK risk communication Science & Technology bushfire emergency management Summary Internationally, fire and land management agencies are increasingly using forms of predictive services to inform wildfire planning and operational response. This trend is particularly pronounced in Australia where, over the past two decades, there has been an alignment between increases in investments in fire behaviour analysis tools, the training and development of fire behaviour analysts (FBANs), and official inquiries recommending the expanded use of these tools and analysts. However, while there is a relative lack of scholarship on the utilisation of predictive services, existing research suggests that institutional investment and availability are poor indicators of use in contexts with established social dynamics of trust and authority. To better understand the utilisation of predictive services in Australia, we undertook a survey of key predictive services users (e.g. incident controllers, planning officers) in order to test several hypotheses developed from existing studies and ethnographic fieldwork. Our results provide directions for further research and indicate that, rather than simply invest in tools and systems, there is a need for fire management agencies to foster personal connection between predictive services practitioners, their tools and their users. Language eng DOI 10.1071/WF21100 Field of Research 160104 Social and Cultural Anthropology 0502 Environmental Science and Management 0602 Ecology 0705 Forestry Sciences HERDC Research category C1 Refereed article in a scholarly journal Grant ID RM33501 DE190100233 Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30158297 Document type: Journal Article Collections: Faculty of Arts and Education Alfred Deakin Institute for Citizenship and Globalisation Open Access Collection Related Links Link Description Link to full-text (Open access) Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Mon, 08 Nov 2021, 06:55:56 EST Tue, 09 Nov 2021, 10:32:21 EST Thu, 11 Nov 2021, 09:07:10 EST Thu, 11 Nov 2021, 10:45:52 EST Sat, 13 Nov 2021, 01:31:56 EST Mon, 15 Nov 2021, 14:07:11 EST Sat, 27 Nov 2021, 01:46:25 EST Tue, 30 Nov 2021, 05:04:12 EST Wed, 23 Mar 2022, 10:15:44 EST Wed, 23 Mar 2022, 15:19:39 EST Wed, 23 Mar 2022, 15:29:36 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 33 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 11 Nov 2021, 10:45:52 EST