A stochastic programming model with endogenous uncertainty for incentivizing fuel reduction treatment under uncertain landowner behavior

DOI10.1016/J.EJOR.2019.03.003zbMath1430.90572OpenAlexW2921874614WikidataQ128250661 ScholiaQ128250661MaRDI QIDQ1737513

Maxwell C. Moseley, Robert K. Grala, Eghbal Rashidi, Tanveer Hossain Bhuiyan, Hugh R. Medal

Publication date: 23 April 2019

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2019.03.003

zbMATH Keywords

Monte Carlo simulationOR in natural resourcestwo-stage stochastic programmingpredictive modelingwildfire hazard

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15)

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Uses Software

• Gurobi
• FlamMap

Cites Work

• A stochastic approach to optimize Maritime pine (\textit{Pinus pinaster} Ait.) stand management scheduling under fire risk. An application in Portugal
• An integrated optimization model for fuel management and fire suppression preparedness planning
• A maximal covering location-based model for analyzing the vulnerability of landscapes to wildfires: assessing the worst-case scenario
• An attacker‐defender model for analyzing the vulnerability of initial attack in wildfire suppression

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