Identifying a Network of Potential Wildfire Evacuation Host Communities Using Multi-Objective Optimization ...
Wildfire occurrence and intensity are increasing in many parts of the world, including Western Canada. A large wildfire can prompt short- or no-notice community evacuations that can lead to evacuees being displaced for weeks if not months. It is important to reduce the decision burdens of emergency...
| Main Authors: | , |
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| Format: | Text |
| Language: | English |
| Published: |
The University of British Columbia
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.14288/1.0432702 https://doi.library.ubc.ca/10.14288/1.0432702 |
| Summary: | Wildfire occurrence and intensity are increasing in many parts of the world, including Western Canada. A large wildfire can prompt short- or no-notice community evacuations that can lead to evacuees being displaced for weeks if not months. It is important to reduce the decision burdens of emergency management authorities in providing timely instructions in these emergencies. One decision to support is where to send evacuees. In this study, we develop a multi-objective facility location model to identify a network of potential wildfire host communities across the province of Alberta, Canada, as part of pre-wildfire season strategic planning and preparation efforts. Our model generates a 1,200 solution Pareto front. Slave Lake and High Level are identified as host communities in each of the Pareto solutions, indicating that they are both high priorities for resource allocation in preparation for wildfire season. In explorations of these results, we observe that with 13 host communities, more than 90% of the ... |
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