PUBLICATIONS
Published works
Intelligent warnings: a twenty-first century approach to encouraging protective action in emergencies
Title | Intelligent warnings: a twenty-first century approach to encouraging protective action in emergencies |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Riley, J |
Conference Name | AFAC19 powered by INTERSCHUTZ - Bushfire and Natural Hazards CRC Research Forum |
Date Published | 12/2019 |
Publisher | Australian Institute for Disaster Resilience |
Conference Location | Melbourne |
Keywords | Emergency management, protective action, risk management, technology, warning |
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 Forum here. |
URL | https://knowledge.aidr.org.au/resources/australian-journal-of-emergency-management-monograph-series/ |
Refereed Designation | Non-Refereed |