RT Journal Article
T1 Fuel management operations planning in fire management: A bilevel optimisation approach
A1 Liberatore, Federico
A1 León Caballero, Javier
A1 Hearne, John
A1 Vitoriano Villanueva, Begoña
AB Elevated fuel loads represent a wildfire hazard in a landscape. Reducing fuel load is one mitigation strategy commonly employed to decrease the severity and impact of wildfires. The planning of such fuel management operations, however, represents a complicated decision problem, which includes multiple sources of uncertainty. In this paper, a problem for fuel treatment planning is presented, formulated, and solved. The optimisation model identifies the best subset of units in the landscape to be treated to minimise the impact of the worst-case wildfire. Due to its size, which would make it intractable for realistic instances, an ad hoc exact solution algorithm has been devised. Extensive computational testing on randomly generated instances illustrates that the proposed approach is very successful at solving the problem. Finally, the algorithm is applied to a case study on a landscape in Andalusia, Spain, which shows the capabilities of the proposed approach in addressing a real-world problem.
PB Elsevier
SN 09257535
YR 2021
FD 2021
LK https://hdl.handle.net/20.500.14352/7867
UL https://hdl.handle.net/20.500.14352/7867
LA eng
NO Liberatore, F., León, J., Hearne, J., Vitoriano, B.: Fuel management operations planning in fire management: A bilevel optimisation approach. Safety Science. 137, 105181 (2021). https://doi.org/10.1016/j.ssci.2021.105181
NO European Commission
NO Ministerio de Ciencia, Innovación y Universidades (España)
NO Universidad Complutense de Madrid/Banco de Santander
DS Docta Complutense
RD 17 abr 2025