A maximal covering location-based model for analyzing the vulnerability of landscapes to wildfires: assessing the worst-case scenario

DOI10.1016/j.ejor.2016.08.074zbMath1394.90412OpenAlexW2515503592WikidataQ117808130 ScholiaQ117808130MaRDI QIDQ1751753

Morgan Varner, Eghbal Rashidi, Robert K. Grala, Jason Gordon, Hugh R. Medal

Publication date: 25 May 2018

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2016.08.074

zbMATH Keywords

OR in natural resourcesvulnerability assessmentcritical infrastructurewildfire managementIP model

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Management decision making, including multiple objectives (90B50) Combinatorial optimization (90C27) Case-oriented studies in operations research (90B90)

Related Items (1)

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

Uses Software

• Gurobi
• FlamMap

Cites Work

• Unnamed Item
• An integrated optimization model for fuel management and fire suppression preparedness planning
• Landscape-level optimization using tabu search and stand density-related forest management prescriptions
• Spatial optimization of the pattern of fuel management activities and subsequent effects on simulated wildfires
• Towards an integrated framework for forest fire control.
• Spatial Optimization of Resources Deployment for Forest-Fire Management
• Deploying Wildland Fire Suppression Resources with a Scenario-Based Standard Response Model

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