Grants and Contributions:

Title:
Advanced agent-based models for scenario-planning and enhancing community preparedness for high-consequence coastal hazard events
Agreement Number:
980899
Agreement Value:
$98,099.00
Agreement Date:
Nov 1, 2021 - Oct 31, 2024
Description:
Coastal flood risk management in Canada has often relied on static, mapbased measures. However, natural disasters such as rapid riverine or coastal floods are highly dynamic, and complex interactions between the environment, assets, and humans arise throughout the course of such an extreme event. Agent-based models (ABM) can include spatiotemporal-based behaviours by assigning "agents" (in this case, humans) a set of rules to follow during an extreme event (e.g. floods). The development of an open-source ABM is proposed to facilitate effective scenario planning and flood risk management strategies. The capabilities of this ABM will include, but will not be limited to: assessing expected loss-of-life, identifying bottlenecks in road networks, and optimizing ideal mitigation options to reduce fatalities. Field surveys of real-time evacuation exercises will be conducted to capture the complex processes and behaviours that arise during a simulated evacuation and will be used as experimental data to validate the developed ABM software. The research findings will be shared through peer-reviewed publications and participating in conferences and workshops with the public.
Organization:
National Research Council Canada
Expected Results:

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.

Location:
Ottawa, Ontario, CA K1N 6N5
Reference Number:
172-2021-2022-Q3-980899
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119278877
Recipient Type:
Academia
Recipient's Legal Name:
University of Ottawa
Federal Riding Name:
Ottawa–Vanier
Federal Riding Number:
35078
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:

Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.

NAICS Code:
541710