@article {bnh-8278, title = {Encouraging evacuation: the role of behavioural message inputs in bushfire warnings}, journal = {International Journal of Disaster Risk Reduction}, year = {2021}, month = {11/2021}, abstract = {

In catastrophic bushfires or wildfires, warnings are issued by emergency service organisations to inform communities about the hazard and provide guidance about protective actions. Long-form warnings are complemented by shorter social media warnings that preference content about hazard severity. Warnings that do not include clear behavioural guidance can challenge clarity and community uptake. However, there has been little research that examines and compares existing warnings with those constructed to encourage behavioural intentions. In this study, we follow the Protective Action Decision Model and first identify cues that predict evacuation intentions. Next, we compare existing long-form and social media warnings with those modified to include behavioural advice and instruction to examine their effect on clarity and ease of action and protective action intentions. Findings show how the inclusion of behavioural inputs into social media warnings enhances protective action intentions, offering evidence to specifically support changes to existing practice.

}, keywords = {Behavioural inputs, bushfires, Evacuation, warning}, issn = {2212-4209}, doi = {https://doi.org/10.1016/j.ijdrr.2021.102673}, url = {https://www.sciencedirect.com/science/article/abs/pii/S2212420921006348}, author = {Amisha Mehta and Scott Murray and Ryan McAndrew and Michaela Jackson and Vivienne Tippett} } @article {bnh-7793, title = {Supplementing emergency warning messages to encourage readiness to act: the effect of colours and icons}, number = {640}, year = {2021}, month = {01/2021}, institution = {Bushfire and Natural Hazards CRC}, address = {Melbourne}, abstract = {

Current Australian emergency warning messages that have been refined to match evidence-based practice strongly encourage community members{\textquoteright} readiness to act on emergency instructions (Greer, Dootson, Miller \& Tippett, 2019). Given the written elements of warning messages are optimised to encourage readiness to act, this research examines the effect of adding icons and/or colours to official warnings. In this research, we draw on a socio- psychological model of precautionary adaption (Grothmann \& Reusswig, 2006) underpinned by Protective Motivation Theory (PMT; Rogers, 1975, 1983; Rogers \& Prentice-Dunn, 1997) to investigate whether emergency warning messages can be further optimised by adding colours and/or icons to encourage even higher levels of readiness to act on emergency instructions.

In order to achieve the aims of this research, an online survey was conducted in which participants were exposed to one of 16 mock emergency warnings about either a bushfire or a riverine flood and were then asked a series of questions relating to their demographic characteristics, message comprehension and effectiveness, threat appraisal, coping appraisal, protection motivation and maladaptive coping behaviour. Mock emergency warnings were developed using existing end-user emergency warnings to improve realism and maximise the usefulness of the findings, as well as building on previous QUT-conducted BNHCRC research (see Greer et al., 2019). A total of 2,482 Australians living across all states and territories were recruited to participate in the research. Participants were recruited by the Market Research firm Dynata. Approximately 150 participants responded to each of the 16 stimuli.

Overall, the research results show that adding colours and/or icons to the Evacuate Now (Bushfire) message creates improvements, albeit small ones, in message comprehension, effectiveness, perceived probability and perceived self-efficacy. The other three messages showed no improvement (or loss) in message comprehension, effectiveness, threat appraisal, or coping appraisal as a result of adding colours and/or icons.

}, keywords = {colours, Emergency, icons, messages, readiness, warning}, issn = {640}, author = {Dominique Greer and Paula Dootson and Sophie Miller and Vivienne Tippett} } @article {bnh-8131, title = {Towards protective action: effective risk and warning communication during natural hazards {\textendash} final project report}, number = {692}, year = {2021}, month = {07/2021}, institution = {Bushfire and Natural Hazards CRC}, address = {MELBOURNE}, abstract = {

The release of the National Review of Warnings and Information (Emergency Management Victoria, 2014) triggered the need for a range of evidence-based practice about constructing better natural hazard emergency warning messages. This report showcases a three-year program of end-user driven interdisciplinary research that derived evidence-based insights into risk and warning communication during the response phase of natural hazard emergencies. The research examines existing and modified communication to community members who may be affected by natural hazards. The work outlined in this report builds on our previous CRC project on effective communication in natural hazards.

The first CRC project (2014-2017) focused on the pre-decisional processes of community members and business owners, particularly their exposure to, attention to, and comprehension of warning messages in the response and early recovery phase of multiple hazards. The current project (2017-2020) builds on that knowledge and focuses on how the inputs into the pre-decisional process{\textemdash}environmental cues, social cues, information sources, channel access and preference, warning messages and receiver characteristics{\textemdash}inform protective action during the response phases of natural hazards.

There are two core research aims:

These aims have been achieved through three tailored research packages:

This project employs a multi-method, multi-hazard research design to:

Our research findings have been shared with end-users through the AFAC Warnings Group, invited presentations and consultancies, private meetings, conferences, and workshops, and translated into practice via audits, public information, visual content (e.g., infographics), emergency alert templates, national doctrine, and to support the Australian Warnings System.

}, keywords = {action, communication, Natural hazards, protective, risk, warning}, issn = {692}, author = {Vivienne Tippett and Dominique Greer and Amisha Mehta and Paula Dootson and Lisa Bradley and Sophie Miller and Scott Murray} } @conference {bnh-6524, title = {Intelligent warnings: a twenty-first century approach to encouraging protective action in emergencies}, booktitle = {AFAC19 powered by INTERSCHUTZ - Bushfire and Natural Hazards CRC Research Forum}, year = {2019}, month = {12/2019}, publisher = {Australian Institute for Disaster Resilience}, organization = {Australian Institute for Disaster Resilience}, address = {Melbourne}, abstract = {

The Victorian approach to the delivery of public information and warnings is robust and leads the country in many respects. Despite this, when at-risk individuals do receive warnings, existing research clearly highlights they are unlikely to immediately act, and instead, will seek out further information and take time to process the information to determine whether any action is required. This verification process may include talking with family, friends, neighbours or colleagues, resulting in a delay before protective action is taken. To counteract this problem and provide communities with as much time as possible to take action, we need to minimise the likelihood of delays infiltrating our decision-making and warnings dissemination process. Artificial Intelligence (AI) and automation can help us to achieve this.

To investigate this further, a desktop review of existing literature was undertaken, supported by informal discussions and semi-structured interviews with a diverse range of academics, emergency managers and other experts across Victoria, New South Wales, Queensland and the United States. The discussions and interviews highlighted exciting opportunities to enhance our current approach through the use of AI and automation, which could be particularly helpful in enhancing the effectiveness of warnings for rapid impact emergencies, such as flash flooding and severe thunderstorms. During these types of emergencies, where community consequences are often experienced very rapidly after initial onset of the event, AI and automation can support the tailoring of language and content in warning products according to affected communities and likely consequences, minimise warning issuance delay and maximise the effectiveness of decision-making.

The investigation found these technologies are not a replacement for human decision making, however, if leveraged effectively they will enable us to better understand risk in realtime and reduce the considerable time taken to manually process intelligence and apply our pre-determined triggers and business rules. For the Victorian emergency management sector, these results suggest there is a need to prioritise investment in innovative new approaches to support the dissemination of potentially life-saving public information and warnings, whilst also supporting researchers to further understand human behaviour and decision-making upon receipt of a warning. In summary, this investigation has identified opportunities to better support communities to take protective action in a timely manner, to ensure we achieve our shared vision of safer and more resilient communities.

Download the full non-peer reviewed research proceedings\ from the Bushfire and Natural Hazards CRC Research Forumhere.

}, keywords = {Emergency management, protective action, risk management, technology, warning}, url = {https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/}, author = {Riley, Jacob} }