Mitigating a pyro-terror attack using fuel treatment

References

• Acuna, M.A., Palma, C.D., Cui, W., Martell, D.L. and Weintraub, A. (2010) Integrated spatial fire and forest management planning. Canadian Journal of Forest Research, 40(12), 2370–2383.
   Web of Science ®Google Scholar
• Baird, R.A. (2006) Pyro-terrorism—The threat of arson-induced forest fires as a future terrorist weapon of mass destruction. Studies in Conflict & Terrorism, 29(5), 415–428.
   Web of Science ®Google Scholar
• Ball, M.O., Golden, B.L. and Vohra, R.V. (1989) Finding the most vital arcs in a network. Operations Research Letters, 8(2), 73–76.
   Web of Science ®Google Scholar
• Bendle, M.F. (2008) Australia's nightmare: Bushfire jihad and pyroterrorism. National Observer, 79, 8–22. Available at: http://search.informit.com.au/documentSummary;dn=687867120962000;res=IELHSS. [ Accesssed March 11, 2015.]
   Google Scholar
• Bettinger, P., Boston, K., Kim, Y.-H. and Zhu, J. (2007) Landscape-level optimization using tabu search and stand density-related forest management prescriptions. European Journal of Operational Research, 176(2), 1265–1282.
   Web of Science ®Google Scholar
• Brown, G.G., Carlyle, W.M., Harney, R.C., Skroch, E.M. and Wood, R.K. (2009) Interdicting a nuclear-weapons project. Operations Research, 57(4), 866–877.
   Web of Science ®Google Scholar
• Church, R.L., Scaparra, M.P. and Middleton, R.S. (2004) Identifying critical infrastructure: The median and covering facility interdiction problems. Annals of the Association of American Geographers, 94(3), 491–502.
   Web of Science ®Google Scholar
• Church, R.L. and Velle, C.R. (1974) The maximal covering location problem. Papers in Regional Science, 32(1), 101–118.
   Google Scholar
• Corley, H.W. and David, Y.S. (1982) Most vital links and nodes in weighted networks. Operations Research Letters, 1(4), 157–160.
   Google Scholar
• Department of Homeland Security. (2012) Terrorist interest in using fire as a weapon. Available at: https://publicintelligence.net/dhs-terrorist-interest-in-using-fire-as-a-weapon/. [ Accesssed March 11, 2015.]
   Google Scholar
• Deshpande, N. (2009) Pyro-terrorism: Recent cases and the potential for proliferation. Studies in Conflict & Terrorism, 32(1), 36–44.
   Web of Science ®Google Scholar
• Federal Bureau of Investigation. (2012) Al-Qaida in The Arabian Peninsula (AQAP) “Inspire” Magazine encourages the use of wildfires as a form of jihad. Available at: https://publicintelligence.net/inspire-magazine-wildfires/. [ Accesssed March 11, 2015.]
   Google Scholar
• Fighel, J. (2009) The “forest jihad.” Studies in Conflict & Terrorism, 32(9), 802–810.
   Web of Science ®Google Scholar
• Finney, M.A. (2002) Fire growth using minimum travel time methods. Canadian Journal of Forest Research, 32(8) 1420–1424.
   Web of Science ®Google Scholar
• Finney, M.A. (2006) An overview of FlamMap fire modeling capabilities, in Proceedings of the Conference: Fuels Management—How to Measure Success, USDA Forest Service, RMRS, Fort Collins, CO, pp. 28–30.
   Google Scholar
• Finney, M.A., Grenfell, I.C., McHugh, C.W., Seli, R.C., Trethewey, D., Stratton, R.D. and Brittain, S. (2011) A method for ensemble wildland fire simulation. Environmental Modeling & Assessment, 16(2), 153–167.
   Web of Science ®Google Scholar
• Finney, M.A., McHugh, C.W., Grenfell, I.C., Riley, K.L. and Short, K.C. (2011) A simulation of probabilistic wildfire risk components for the continental United States. Stochastic Environmental Research and Risk Assessment, 25(7), 973–1000.
   Web of Science ®Google Scholar
• Fulkerson, D.R. and Harding, G.C. (1977) Maximizing the minimum source-sink path subject to a budget constraint. Mathematical Programming, 13(1), 116–118.
   Web of Science ®Google Scholar
• Ghare, P.M., Montgomery, D.C. and Turner, W.C. (1971) Optimal interdiction policy for a flow network. Naval Research Logistics Quarterly, 18(1), 37–45.
   Google Scholar
• Golden, B. (1978) A problem in network interdiction. Naval Research Logistics Quarterly, 25(4), 711–713.
   Google Scholar
• González-Olabarria, J.-R. and Pukkala, T. (2011) Integrating fire risk considerations in landscape-level forest planning. Forest Ecology and Management, 261(2), 278–287.
   Web of Science ®Google Scholar
• Gordon, J.S., Grala, R.K., Rashidi, E., Medal, H.R., Leonard, W., Moseley, M. and Seiter, K. (2016) Wildfire terrorism risk assessment and management: A pilot study, in Forest Economics and Policy in a Changing Environment: How Market, Policy, and Climate Transformations Affect Forests, Proceedings of the 2016 Meeting of the International Society of Forest Resource Economics. e-Gen. Tech. Rep. SRS-218. U.S. Department of Agriculture Forest Service, Southern Research Station, Asheville, NC, (p. 154).
   Google Scholar
• Green, D.G., Gill, A.M. and Noble, I.R. (1983) Fire shapes and the adequacy of fire-spread models. Ecological Modelling, 20(1), 33–45.
   Web of Science ®Google Scholar
• Gurobi Optimization. (2015) Gurobi Optimizer reference manual. Available at: http://www.gurobi.com. Accesssed March 11, 2015.
   Google Scholar
• Haas, J.R., Calkin, D.E. and Thompson, M.P. (2015) Wildfire risk transmission in the Colorado Front Range, USA. Risk Analysis, 35(2), 226–240.
   Web of Science ®Google Scholar
• Hof, J., Omi, P.N., Bevers, M. and Laven, R.D. (2000) A timing-oriented approach to spatial allocation of fire management effort. Forest Science, 46(3), 442–451.
   Web of Science ®Google Scholar
• Israeli, E. and Wood, R.K. (2002) Shortest-path network interdiction. Networks, 40(2), 97–111.
   Web of Science ®Google Scholar
• Kim, Y.-H., Bettinger, P. and Finney, M. (2009) Spatial optimization of the pattern of fuel management activities and subsequent effects on simulated wildfires. European Journal of Operational Research, 197(1), 253–265.
   Web of Science ®Google Scholar
• Konoshima, M., Albers, H., Montgomery, C. and Arthur, J. (2010) Optimal spatial patterns of fuel management and timber harvest with fire risk. Canadian Journal of Forest Research, 40(1), 95–108.
   Google Scholar
• Konoshima, M., Montgomery, C., Albers, H. and Arthur, J. (2008) Spatial-endogenous fire risk and efficient fuel management and timber harvest. Land Economics, 84(3), 449–468.
   Web of Science ®Google Scholar
• Malik, K., Mittal, A.K. and Gupta, S.K. (1989) The k most vital arcs in the shortest path problem. Operations Research Letters, 8(4), 223–227.
   Web of Science ®Google Scholar
• McMasters, A.W. and Mustin, T.M. (1970) Optimal interdiction of a supply network. Naval Research Logistics Quarterly, 17(3), 261–268.
   Google Scholar
• Minas, J.P., Hearne, J. and Martell, D. (2013) An integrated optimization model for fuel management and fire suppression preparedness planning. Annals of Operations Research, 232(1), 201–215.
   Web of Science ®Google Scholar
• Minas, J.P., Hearne, J.W. and Martell, D.L. (2014) A spatial optimisation model for multi-period landscape level fuel management to mitigate wildfire impacts. European Journal of Operational Research, 232(2), 412–422.
   Web of Science ®Google Scholar
• Nardelli, E., Proietti, G. and Widmayer, P. (2003) Finding the most vital node of a shortest path. Theoretical Computer Science, 296(1), 167–177.
   Web of Science ®Google Scholar
• Palma, C., Cui, W., Martell, D., Robak, D. and Weintraub, A. (2007) Assessing the impact of stand-level harvests on the flammability of forest landscapes. International Journal of Wildland Fire, 16(5), 584.
   Web of Science ®Google Scholar
• Rashidi, E. (2016) Optimization Models and Algorithms for Vulnerability Analysis and Mitigation Planning of Pyro-terrorism, PhD thesis, Mississippi State University.
   Google Scholar
• Rashidi, E., Medal, H., Gordon, J., Grala, R. and Varner, M. (2017) A maximal covering location-based model for analyzing the vulnerability of landscapes to wildfires: Assessing the worst-case scenario. European Journal of Operational Research, 258(3), 1095–1105.
   Web of Science ®Google Scholar
• Stein, S.M., Menakis, J., Carr, M.A., Comas, S.J., Stewart, S.I., Cleveland, H., Bramwell, L. and Radeloff, V. C. (2013) Wildfire, wildlands, and people: Understanding and preparing for wildfire in the wildland-urban interface—A Forests on the Edge report, General Technical Report, USDA Forest Service, Fort Collins, CO.
   Google Scholar
• U.S. Department of Agriculture. (2013) Wildfires. Available at: http://www.usda.gov/wps/portal/usda/usdamobile?contentid=wildfires.xml. [Accessed March 11, 2015.]
   Google Scholar
• USDA. (2015) LANDFIRE. Available at: http://www.landfire.gov/.
   Google Scholar
• Von Stackelberg, H. (1952) The Theory of the Market Economy, Oxford University Press, England.
   Google Scholar
• Wei, Y. (2012) Optimize landscape fuel treatment locations to create control opportunities for future fires. Canadian Journal of Forest Research, 42(6), 1002–1014.
   Web of Science ®Google Scholar
• Wei, Y., Rideout, D. and Kirsch, A. (2008) An optimization model for locating fuel treatments across a landscape to reduce expected fire losses. Canadian Journal of Forest Research, 38(4), 868–877.
   Web of Science ®Google Scholar
• Wollmer, R. (1964) Removing arcs from a network. Operations Research, 12(6), 934–940.
   Web of Science ®Google Scholar